diff --git a/data/MicroBooNE/CC1MuNp/2025/README.txt b/data/MicroBooNE/CC1MuNp/2025/README.txt new file mode 100644 index 000000000..9d499f51c --- /dev/null +++ b/data/MicroBooNE/CC1MuNp/2025/README.txt @@ -0,0 +1,11 @@ +Files in this folder correspond to the "basic data release" included in the +supplemental material for Phys. Rev. D 112, 112004 (2025) +https://doi.org/10.1103/8v2y-l89l + +The files bin_blocks.txt, mat_table_add_smear.txt, mat_table_cov_total.txt, and +vec_table_unfolded_signal.txt are taken directly from the published data +release. + +The bin_defs.txt file provides a different representation of the binning scheme +and was taken from the original analysis inputs used with MicroBooNE's +"xsec_analyzer" tool: https://github.com/uboone/xsec_analyzer. diff --git a/data/MicroBooNE/CC1MuNp/2025/bin_blocks.txt b/data/MicroBooNE/CC1MuNp/2025/bin_blocks.txt new file mode 100644 index 000000000..4fadea72d --- /dev/null +++ b/data/MicroBooNE/CC1MuNp/2025/bin_blocks.txt @@ -0,0 +1,386 @@ +0 44 2 "$p_\mu$" "GeV$/c$" "$\cos\theta_\mu$" "" +0 0.1 0.24 -1 -0.55 +1 0.1 0.24 -0.55 -0.25 +2 0.1 0.24 -0.25 0 +3 0.1 0.24 0 0.25 +4 0.1 0.24 0.25 0.45 +5 0.1 0.24 0.45 0.7 +6 0.1 0.24 0.7 1 +7 0.24 0.3 -1 -0.55 +8 0.24 0.3 -0.55 -0.25 +9 0.24 0.3 -0.25 0 +10 0.24 0.3 0 0.25 +11 0.24 0.3 0.25 0.45 +12 0.24 0.3 0.45 0.7 +13 0.24 0.3 0.7 1 +14 0.3 0.38 -1 -0.4 +15 0.3 0.38 -0.4 -0.1 +16 0.3 0.38 -0.1 0.1 +17 0.3 0.38 0.1 0.35 +18 0.3 0.38 0.35 0.5 +19 0.3 0.38 0.5 0.7 +20 0.3 0.38 0.7 0.85 +21 0.3 0.38 0.85 1 +22 0.38 0.48 -1 0 +23 0.38 0.48 0 0.5 +24 0.38 0.48 0.5 0.65 +25 0.38 0.48 0.65 0.8 +26 0.38 0.48 0.8 0.92 +27 0.38 0.48 0.92 1 +28 0.48 0.7 -1 0.2 +29 0.48 0.7 0.2 0.5 +30 0.48 0.7 0.5 0.65 +31 0.48 0.7 0.65 0.8 +32 0.48 0.7 0.8 0.875 +33 0.48 0.7 0.875 0.95 +34 0.48 0.7 0.95 1 +35 0.7 0.85 -1 0.65 +36 0.7 0.85 0.65 0.8 +37 0.7 0.85 0.8 0.875 +38 0.7 0.85 0.875 0.95 +39 0.7 0.85 0.95 1 +40 0.85 1.2 -1 0.85 +41 0.85 1.2 0.85 0.9 +42 0.85 1.2 0.9 0.95 +43 0.85 1.2 0.95 1 + +1 36 2 "$p_p$" "GeV$/c$" "$\cos\theta_p$" "" +44 0.25 0.325 -1 0 +45 0.25 0.325 0 1 +46 0.325 0.4 -1 -0.5 +47 0.325 0.4 -0.5 0 +48 0.325 0.4 0 0.5 +49 0.325 0.4 0.5 0.8 +50 0.325 0.4 0.8 1 +51 0.4 0.5 -1 -0.6 +52 0.4 0.5 -0.6 -0.2 +53 0.4 0.5 -0.2 0.2 +54 0.4 0.5 0.2 0.5 +55 0.4 0.5 0.5 0.65 +56 0.4 0.5 0.65 0.85 +57 0.4 0.5 0.85 1 +58 0.5 0.6 -1 -0.2 +59 0.5 0.6 -0.2 0.2 +60 0.5 0.6 0.2 0.4 +61 0.5 0.6 0.4 0.6 +62 0.5 0.6 0.6 0.7 +63 0.5 0.6 0.7 0.8 +64 0.5 0.6 0.8 0.9 +65 0.5 0.6 0.9 1 +66 0.6 0.7 -1 0.1 +67 0.6 0.7 0.1 0.37 +68 0.6 0.7 0.37 0.5 +69 0.6 0.7 0.5 0.6 +70 0.6 0.7 0.6 0.7 +71 0.6 0.7 0.7 0.8 +72 0.6 0.7 0.8 0.9 +73 0.6 0.7 0.9 1 +74 0.7 1 -1 0.45 +75 0.7 1 0.45 0.65 +76 0.7 1 0.65 0.75 +77 0.7 1 0.75 0.82 +78 0.7 1 0.82 0.9 +79 0.7 1 0.9 1 + +2 12 1 "$\delta p_T$" "GeV$/c$" +80 0 0.06 +81 0.06 0.12 +82 0.12 0.18 +83 0.18 0.24 +84 0.24 0.32 +85 0.32 0.40 +86 0.40 0.48 +87 0.48 0.55 +88 0.55 0.68 +89 0.68 0.75 +90 0.75 0.90 +91 0.90 inf + +3 39 2 "$\delta \alpha_T$" "$^\circ$" "$\delta p_T$" "GeV$/c$" +92 0 45 0 0.06 +93 0 45 0.06 0.12 +94 0 45 0.12 0.18 +95 0 45 0.18 0.24 +96 0 45 0.24 0.32 +97 0 45 0.32 0.40 +98 0 45 0.40 0.48 +99 0 45 0.48 inf +100 45 90 0 0.06 +101 45 90 0.06 0.12 +102 45 90 0.12 0.18 +103 45 90 0.18 0.24 +104 45 90 0.24 0.32 +105 45 90 0.32 0.40 +106 45 90 0.40 0.48 +107 45 90 0.48 0.55 +108 45 90 0.55 inf +109 90 135 0 0.06 +110 90 135 0.06 0.12 +111 90 135 0.12 0.18 +112 90 135 0.18 0.24 +113 90 135 0.24 0.32 +114 90 135 0.32 0.40 +115 90 135 0.40 0.48 +116 90 135 0.48 0.55 +117 90 135 0.55 0.63 +118 90 135 0.63 0.70 +119 90 135 0.70 inf +120 135 180 0 0.06 +121 135 180 0.06 0.12 +122 135 180 0.12 0.18 +123 135 180 0.18 0.24 +124 135 180 0.24 0.32 +125 135 180 0.32 0.40 +126 135 180 0.40 0.50 +127 135 180 0.50 0.60 +128 135 180 0.60 0.72 +129 135 180 0.72 0.90 +130 135 180 0.90 inf + +4 28 2 "$\delta p_T$" "GeV$/c$" "$\delta \alpha_T$" "$^\circ$" +131 0 0.2 0 25 +132 0 0.2 25 60 +133 0 0.2 60 95 +134 0 0.2 95 120 +135 0 0.2 120 145 +136 0 0.2 145 165 +137 0 0.2 165 180 +138 0.2 0.3 0 25 +139 0.2 0.3 25 60 +140 0.2 0.3 60 95 +141 0.2 0.3 95 120 +142 0.2 0.3 120 145 +143 0.2 0.3 145 165 +144 0.2 0.3 165 180 +145 0.3 0.4 0 25 +146 0.3 0.4 25 60 +147 0.3 0.4 60 95 +148 0.3 0.4 95 120 +149 0.3 0.4 120 145 +150 0.3 0.4 145 165 +151 0.3 0.4 165 180 +152 0.4 inf 0 25 +153 0.4 inf 25 60 +154 0.4 inf 60 95 +155 0.4 inf 95 120 +156 0.4 inf 120 145 +157 0.4 inf 145 165 +158 0.4 inf 165 180 + +5 14 1 "$\delta p_{T_x}$" "GeV$/c$" +159 -inf -0.60 +160 -0.60 -0.45 +161 -0.45 -0.35 +162 -0.35 -0.25 +163 -0.25 -0.15 +164 -0.15 -0.075 +165 -0.075 0 +166 0 0.075 +167 0.075 0.15 +168 0.15 0.25 +169 0.25 0.35 +170 0.35 0.45 +171 0.45 0.6 +172 0.60 inf + +6 38 2 "$\delta p_{T_y}$" "GeV$/c$" "$\delta p_{T_x}$" "GeV$/c$" +173 -inf -0.15 -inf -0.6 +174 -inf -0.15 -0.6 -0.45 +175 -inf -0.15 -0.45 -0.35 +176 -inf -0.15 -0.35 -0.25 +177 -inf -0.15 -0.25 -0.15 +178 -inf -0.15 -0.15 -0.075 +179 -inf -0.15 -0.075 0 +180 -inf -0.15 0 0.075 +181 -inf -0.15 0.075 0.15 +182 -inf -0.15 0.15 0.25 +183 -inf -0.15 0.25 0.35 +184 -inf -0.15 0.35 0.45 +185 -inf -0.15 0.45 0.60 +186 -inf -0.15 0.60 inf +187 -0.15 0.15 -inf -0.6 +188 -0.15 0.15 -0.6 -0.45 +189 -0.15 0.15 -0.45 -0.35 +190 -0.15 0.15 -0.35 -0.25 +191 -0.15 0.15 -0.25 -0.15 +192 -0.15 0.15 -0.15 -0.075 +193 -0.15 0.15 -0.075 0 +194 -0.15 0.15 0 0.075 +195 -0.15 0.15 0.075 0.15 +196 -0.15 0.15 0.15 0.25 +197 -0.15 0.15 0.25 0.35 +198 -0.15 0.15 0.35 0.45 +199 -0.15 0.15 0.45 0.60 +200 -0.15 0.15 0.60 inf +201 0.15 inf -inf -0.4 +202 0.15 inf -0.4 -0.3 +203 0.15 inf -0.3 -0.2 +204 0.15 inf -0.2 -0.1 +205 0.15 inf -0.1 0 +206 0.15 inf 0 0.1 +207 0.15 inf 0.1 0.2 +208 0.15 inf 0.2 0.3 +209 0.15 inf 0.3 0.4 +210 0.15 inf 0.4 inf + +7 14 1 "$\theta_{\mu p}$" "$^\circ$" +211 0 30 +212 30 40 +213 40 50 +214 50 60 +215 60 70 +216 70 80 +217 80 90 +218 90 100 +219 100 110 +220 110 120 +221 120 130 +222 130 140 +223 140 150 +224 150 180 + +8 11 1 "$p_n$" "GeV$/c$" +225 0 0.07 +226 0.07 0.14 +227 0.14 0.21 +228 0.21 0.28 +229 0.28 0.35 +230 0.35 0.45 +231 0.45 0.54 +232 0.54 0.66 +233 0.66 0.77 +234 0.77 0.9 +235 0.9 inf + +9 32 2 "$p_n$" "GeV$/c$" "$\theta_{\mu p}$" "$^\circ$" +236 0 0.21 0 60 +237 0 0.21 60 70 +238 0 0.21 70 80 +239 0 0.21 80 90 +240 0 0.21 90 100 +241 0 0.21 100 110 +242 0 0.21 110 120 +243 0 0.21 120 130 +244 0 0.21 130 140 +245 0 0.21 140 150 +246 0 0.21 150 180 +247 0.21 0.45 0 45 +248 0.21 0.45 45 60 +249 0.21 0.45 60 75 +250 0.21 0.45 75 90 +251 0.21 0.45 90 100 +252 0.21 0.45 100 110 +253 0.21 0.45 110 120 +254 0.21 0.45 120 130 +255 0.21 0.45 130 140 +256 0.21 0.45 140 150 +257 0.21 0.45 150 180 +258 0.45 inf 0 30 +259 0.45 inf 30 45 +260 0.45 inf 45 60 +261 0.45 inf 60 75 +262 0.45 inf 75 90 +263 0.45 inf 90 105 +264 0.45 inf 105 120 +265 0.45 inf 120 135 +266 0.45 inf 135 150 +267 0.45 inf 150 180 + +10 30 1 "$\cos\theta_\mu$" "" +268 -1 -0.85 +269 -0.85 -0.775 +270 -0.775 -0.7 +271 -0.7 -0.625 +272 -0.625 -0.55 +273 -0.55 -0.475 +274 -0.475 -0.4 +275 -0.4 -0.325 +276 -0.325 -0.25 +277 -0.25 -0.175 +278 -0.175 -0.1 +279 -0.1 -0.025 +280 -0.025 0.05 +281 0.05 0.125 +282 0.125 0.2 +283 0.2 0.275 +284 0.275 0.35 +285 0.35 0.425 +286 0.425 0.5 +287 0.5 0.575 +288 0.575 0.65 +289 0.65 0.725 +290 0.725 0.8 +291 0.8 0.85 +292 0.85 0.875 +293 0.875 0.9 +294 0.9 0.925 +295 0.925 0.95 +296 0.95 0.975 +297 0.975 1 + +11 20 1 "$\cos\theta_p$" "" +298 -1 -0.9 +299 -0.9 -0.75 +300 -0.75 -0.6 +301 -0.6 -0.45 +302 -0.45 -0.3 +303 -0.3 -0.15 +304 -0.15 0 +305 0 0.15 +306 0.15 0.3 +307 0.3 0.4 +308 0.4 0.5 +309 0.5 0.6 +310 0.6 0.7 +311 0.7 0.8 +312 0.8 0.85 +313 0.85 0.9 +314 0.9 0.925 +315 0.925 0.95 +316 0.95 0.975 +317 0.975 1 + +12 15 1 "$p_p$" "GeV$/c$" +318 0.25 0.3 +319 0.3 0.35 +320 0.35 0.4 +321 0.4 0.45 +322 0.45 0.5 +323 0.5 0.55 +324 0.55 0.6 +325 0.6 0.65 +326 0.65 0.7 +327 0.7 0.75 +328 0.75 0.8 +329 0.8 0.85 +330 0.85 0.9 +331 0.9 0.95 +332 0.95 1 + +13 26 1 "$p_\mu$" "GeV$/c$" +333 0.1 0.175 +334 0.175 0.2 +335 0.2 0.225 +336 0.225 0.25 +337 0.25 0.275 +338 0.275 0.3 +339 0.3 0.325 +340 0.325 0.35 +341 0.35 0.375 +342 0.375 0.4 +343 0.4 0.425 +344 0.425 0.45 +345 0.45 0.475 +346 0.475 0.5 +347 0.5 0.55 +348 0.55 0.6 +349 0.6 0.65 +350 0.65 0.7 +351 0.7 0.75 +352 0.75 0.8 +353 0.8 0.85 +354 0.85 0.9 +355 0.9 0.95 +356 0.95 1 +357 1 1.1 +358 1.1 1.2 diff --git a/data/MicroBooNE/CC1MuNp/2025/bin_defs.txt b/data/MicroBooNE/CC1MuNp/2025/bin_defs.txt new file mode 100644 index 000000000..3c7d8f9d3 --- /dev/null +++ b/data/MicroBooNE/CC1MuNp/2025/bin_defs.txt @@ -0,0 +1,729 @@ +ALL +stv_tree +366 +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < -0.55" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= -0.55 && mc_p3_mu.CosTheta() < -0.25" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= -0.25 && mc_p3_mu.CosTheta() < 0" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= 0 && mc_p3_mu.CosTheta() < 0.25" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= 0.25 && mc_p3_mu.CosTheta() < 0.45" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= 0.45 && mc_p3_mu.CosTheta() < 0.7" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.24 && mc_p3_mu.CosTheta() >= 0.7 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < -0.55" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= -0.55 && mc_p3_mu.CosTheta() < -0.25" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= -0.25 && mc_p3_mu.CosTheta() < 0" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= 0 && mc_p3_mu.CosTheta() < 0.25" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= 0.25 && mc_p3_mu.CosTheta() < 0.45" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= 0.45 && mc_p3_mu.CosTheta() < 0.7" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.24 && mc_p3_mu.Mag() < 0.3 && mc_p3_mu.CosTheta() >= 0.7 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < -0.4" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= -0.4 && mc_p3_mu.CosTheta() < -0.1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= -0.1 && mc_p3_mu.CosTheta() < 0.1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= 0.1 && mc_p3_mu.CosTheta() < 0.35" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= 0.35 && mc_p3_mu.CosTheta() < 0.5" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= 0.5 && mc_p3_mu.CosTheta() < 0.7" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= 0.7 && mc_p3_mu.CosTheta() < 0.85" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.38 && mc_p3_mu.CosTheta() >= 0.85 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < 0" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= 0 && mc_p3_mu.CosTheta() < 0.5" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= 0.5 && mc_p3_mu.CosTheta() < 0.65" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= 0.65 && mc_p3_mu.CosTheta() < 0.8" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= 0.8 && mc_p3_mu.CosTheta() < 0.92" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.38 && mc_p3_mu.Mag() < 0.48 && mc_p3_mu.CosTheta() >= 0.92 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < 0.2" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.2 && mc_p3_mu.CosTheta() < 0.5" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.5 && mc_p3_mu.CosTheta() < 0.65" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.65 && mc_p3_mu.CosTheta() < 0.8" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.8 && mc_p3_mu.CosTheta() < 0.875" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.875 && mc_p3_mu.CosTheta() < 0.95" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.48 && mc_p3_mu.Mag() < 0.7 && mc_p3_mu.CosTheta() >= 0.95 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.85 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < 0.65" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.85 && mc_p3_mu.CosTheta() >= 0.65 && mc_p3_mu.CosTheta() < 0.8" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.85 && mc_p3_mu.CosTheta() >= 0.8 && mc_p3_mu.CosTheta() < 0.875" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.85 && mc_p3_mu.CosTheta() >= 0.875 && mc_p3_mu.CosTheta() < 0.95" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.85 && mc_p3_mu.CosTheta() >= 0.95 && mc_p3_mu.CosTheta() < 1" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.85 && mc_p3_mu.Mag() < 1.2 && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < 0.85" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.85 && mc_p3_mu.Mag() < 1.2 && mc_p3_mu.CosTheta() >= 0.85 && mc_p3_mu.CosTheta() < 0.9" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.85 && mc_p3_mu.Mag() < 1.2 && mc_p3_mu.CosTheta() >= 0.9 && mc_p3_mu.CosTheta() < 0.95" +0 0 "mc_is_signal && mc_p3_mu.Mag() >= 0.85 && mc_p3_mu.Mag() < 1.2 && mc_p3_mu.CosTheta() >= 0.95 && mc_p3_mu.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.25 && mc_p3_lead_p.Mag() < 0.325 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < 0" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.25 && mc_p3_lead_p.Mag() < 0.325 && mc_p3_lead_p.CosTheta() >= 0 && mc_p3_lead_p.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.325 && mc_p3_lead_p.Mag() < 0.4 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < -0.5" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.325 && mc_p3_lead_p.Mag() < 0.4 && mc_p3_lead_p.CosTheta() >= -0.5 && mc_p3_lead_p.CosTheta() < 0" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.325 && mc_p3_lead_p.Mag() < 0.4 && mc_p3_lead_p.CosTheta() >= 0 && mc_p3_lead_p.CosTheta() < 0.5" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.325 && mc_p3_lead_p.Mag() < 0.4 && mc_p3_lead_p.CosTheta() >= 0.5 && mc_p3_lead_p.CosTheta() < 0.8" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.325 && mc_p3_lead_p.Mag() < 0.4 && mc_p3_lead_p.CosTheta() >= 0.8 && mc_p3_lead_p.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < -0.6" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= -0.6 && mc_p3_lead_p.CosTheta() < -0.2" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= -0.2 && mc_p3_lead_p.CosTheta() < 0.2" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= 0.2 && mc_p3_lead_p.CosTheta() < 0.5" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= 0.5 && mc_p3_lead_p.CosTheta() < 0.65" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= 0.65 && mc_p3_lead_p.CosTheta() < 0.85" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.5 && mc_p3_lead_p.CosTheta() >= 0.85 && mc_p3_lead_p.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < -0.2" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= -0.2 && mc_p3_lead_p.CosTheta() < 0.2" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.2 && mc_p3_lead_p.CosTheta() < 0.4" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.4 && mc_p3_lead_p.CosTheta() < 0.6" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.6 && mc_p3_lead_p.CosTheta() < 0.7" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.7 && mc_p3_lead_p.CosTheta() < 0.8" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.8 && mc_p3_lead_p.CosTheta() < 0.9" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.6 && mc_p3_lead_p.CosTheta() >= 0.9 && mc_p3_lead_p.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < 0.1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.1 && mc_p3_lead_p.CosTheta() < 0.37" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.37 && mc_p3_lead_p.CosTheta() < 0.5" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.5 && mc_p3_lead_p.CosTheta() < 0.6" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.6 && mc_p3_lead_p.CosTheta() < 0.7" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.7 && mc_p3_lead_p.CosTheta() < 0.8" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.8 && mc_p3_lead_p.CosTheta() < 0.9" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.7 && mc_p3_lead_p.CosTheta() >= 0.9 && mc_p3_lead_p.CosTheta() < 1" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < 0.45" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= 0.45 && mc_p3_lead_p.CosTheta() < 0.65" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= 0.65 && mc_p3_lead_p.CosTheta() < 0.75" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= 0.75 && mc_p3_lead_p.CosTheta() < 0.82" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= 0.82 && mc_p3_lead_p.CosTheta() < 0.9" +0 1 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 1 && mc_p3_lead_p.CosTheta() >= 0.9 && mc_p3_lead_p.CosTheta() < 1" +0 2 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.06" +0 2 "mc_is_signal && mc_delta_pT >= 0.06 && mc_delta_pT < 0.12" +0 2 "mc_is_signal && mc_delta_pT >= 0.12 && mc_delta_pT < 0.18" +0 2 "mc_is_signal && mc_delta_pT >= 0.18 && mc_delta_pT < 0.24" +0 2 "mc_is_signal && mc_delta_pT >= 0.24 && mc_delta_pT < 0.32" +0 2 "mc_is_signal && mc_delta_pT >= 0.32 && mc_delta_pT < 0.4" +0 2 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_pT < 0.48" +0 2 "mc_is_signal && mc_delta_pT >= 0.48 && mc_delta_pT < 0.55" +0 2 "mc_is_signal && mc_delta_pT >= 0.55 && mc_delta_pT < 0.68" +0 2 "mc_is_signal && mc_delta_pT >= 0.68 && mc_delta_pT < 0.75" +0 2 "mc_is_signal && mc_delta_pT >= 0.75 && mc_delta_pT < 0.9" +0 2 "mc_is_signal && mc_delta_pT >= 0.9" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0 && mc_delta_pT < 0.06" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.06 && mc_delta_pT < 0.12" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.12 && mc_delta_pT < 0.18" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.18 && mc_delta_pT < 0.24" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.24 && mc_delta_pT < 0.32" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.32 && mc_delta_pT < 0.4" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.4 && mc_delta_pT < 0.48" +0 3 "mc_is_signal && mc_delta_alphaT >= 0 && mc_delta_alphaT < 45 && mc_delta_pT >= 0.48" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0 && mc_delta_pT < 0.06" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.06 && mc_delta_pT < 0.12" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.12 && mc_delta_pT < 0.18" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.18 && mc_delta_pT < 0.24" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.24 && mc_delta_pT < 0.32" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.32 && mc_delta_pT < 0.4" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.4 && mc_delta_pT < 0.48" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.48 && mc_delta_pT < 0.55" +0 3 "mc_is_signal && mc_delta_alphaT >= 45 && mc_delta_alphaT < 90 && mc_delta_pT >= 0.55" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0 && mc_delta_pT < 0.06" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.06 && mc_delta_pT < 0.12" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.12 && mc_delta_pT < 0.18" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.18 && mc_delta_pT < 0.24" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.24 && mc_delta_pT < 0.32" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.32 && mc_delta_pT < 0.4" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.4 && mc_delta_pT < 0.48" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.48 && mc_delta_pT < 0.55" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.55 && mc_delta_pT < 0.63" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.63 && mc_delta_pT < 0.7" +0 3 "mc_is_signal && mc_delta_alphaT >= 90 && mc_delta_alphaT < 135 && mc_delta_pT >= 0.7" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0 && mc_delta_pT < 0.06" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.06 && mc_delta_pT < 0.12" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.12 && mc_delta_pT < 0.18" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.18 && mc_delta_pT < 0.24" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.24 && mc_delta_pT < 0.32" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.32 && mc_delta_pT < 0.4" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.4 && mc_delta_pT < 0.5" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.5 && mc_delta_pT < 0.6" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.6 && mc_delta_pT < 0.72" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.72 && mc_delta_pT < 0.9" +0 3 "mc_is_signal && mc_delta_alphaT >= 135 && mc_delta_alphaT < 180 && mc_delta_pT >= 0.9" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 0 && mc_delta_alphaT < 25" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 25 && mc_delta_alphaT < 60" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 60 && mc_delta_alphaT < 95" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 95 && mc_delta_alphaT < 120" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 120 && mc_delta_alphaT < 145" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 145 && mc_delta_alphaT < 165" +0 4 "mc_is_signal && mc_delta_pT >= 0 && mc_delta_pT < 0.2 && mc_delta_alphaT >= 165 && mc_delta_alphaT < 180" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 0 && mc_delta_alphaT < 25" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 25 && mc_delta_alphaT < 60" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 60 && mc_delta_alphaT < 95" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 95 && mc_delta_alphaT < 120" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 120 && mc_delta_alphaT < 145" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 145 && mc_delta_alphaT < 165" +0 4 "mc_is_signal && mc_delta_pT >= 0.2 && mc_delta_pT < 0.3 && mc_delta_alphaT >= 165 && mc_delta_alphaT < 180" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 0 && mc_delta_alphaT < 25" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 25 && mc_delta_alphaT < 60" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 60 && mc_delta_alphaT < 95" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 95 && mc_delta_alphaT < 120" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 120 && mc_delta_alphaT < 145" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 145 && mc_delta_alphaT < 165" +0 4 "mc_is_signal && mc_delta_pT >= 0.3 && mc_delta_pT < 0.4 && mc_delta_alphaT >= 165 && mc_delta_alphaT < 180" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 0 && mc_delta_alphaT < 25" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 25 && mc_delta_alphaT < 60" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 60 && mc_delta_alphaT < 95" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 95 && mc_delta_alphaT < 120" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 120 && mc_delta_alphaT < 145" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 145 && mc_delta_alphaT < 165" +0 4 "mc_is_signal && mc_delta_pT >= 0.4 && mc_delta_alphaT >= 165 && mc_delta_alphaT < 180" +0 5 "mc_is_signal && mc_delta_pTx < -0.6" +0 5 "mc_is_signal && mc_delta_pTx >= -0.6 && mc_delta_pTx < -0.45" +0 5 "mc_is_signal && mc_delta_pTx >= -0.45 && mc_delta_pTx < -0.35" +0 5 "mc_is_signal && mc_delta_pTx >= -0.35 && mc_delta_pTx < -0.25" +0 5 "mc_is_signal && mc_delta_pTx >= -0.25 && mc_delta_pTx < -0.15" +0 5 "mc_is_signal && mc_delta_pTx >= -0.15 && mc_delta_pTx < -0.075" +0 5 "mc_is_signal && mc_delta_pTx >= -0.075 && mc_delta_pTx < 0" +0 5 "mc_is_signal && mc_delta_pTx >= 0 && mc_delta_pTx < 0.075" +0 5 "mc_is_signal && mc_delta_pTx >= 0.075 && mc_delta_pTx < 0.15" +0 5 "mc_is_signal && mc_delta_pTx >= 0.15 && mc_delta_pTx < 0.25" +0 5 "mc_is_signal && mc_delta_pTx >= 0.25 && mc_delta_pTx < 0.35" +0 5 "mc_is_signal && mc_delta_pTx >= 0.35 && mc_delta_pTx < 0.45" +0 5 "mc_is_signal && mc_delta_pTx >= 0.45 && mc_delta_pTx < 0.6" +0 5 "mc_is_signal && mc_delta_pTx >= 0.6" +0 6 "mc_is_signal && mc_delta_pTx < -0.6 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.6 && mc_delta_pTx < -0.45 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.45 && mc_delta_pTx < -0.35 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.35 && mc_delta_pTx < -0.25 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.25 && mc_delta_pTx < -0.15 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.15 && mc_delta_pTx < -0.075 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.075 && mc_delta_pTx < 0 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0 && mc_delta_pTx < 0.075 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.075 && mc_delta_pTx < 0.15 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.15 && mc_delta_pTx < 0.25 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.25 && mc_delta_pTx < 0.35 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.35 && mc_delta_pTx < 0.45 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.45 && mc_delta_pTx < 0.6 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.6 && mc_delta_pTy < -0.15" +0 6 "mc_is_signal && mc_delta_pTx < -0.6 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.6 && mc_delta_pTx < -0.45 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.45 && mc_delta_pTx < -0.35 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.35 && mc_delta_pTx < -0.25 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.25 && mc_delta_pTx < -0.15 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.15 && mc_delta_pTx < -0.075 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.075 && mc_delta_pTx < 0 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0 && mc_delta_pTx < 0.075 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.075 && mc_delta_pTx < 0.15 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.15 && mc_delta_pTx < 0.25 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.25 && mc_delta_pTx < 0.35 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.35 && mc_delta_pTx < 0.45 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.45 && mc_delta_pTx < 0.6 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.6 && mc_delta_pTy >= -0.15 && mc_delta_pTy < 0.15" +0 6 "mc_is_signal && mc_delta_pTx < -0.4 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.4 && mc_delta_pTx < -0.3 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.3 && mc_delta_pTx < -0.2 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.2 && mc_delta_pTx < -0.1 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= -0.1 && mc_delta_pTx < 0 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0 && mc_delta_pTx < 0.1 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.1 && mc_delta_pTx < 0.2 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.2 && mc_delta_pTx < 0.3 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.3 && mc_delta_pTx < 0.4 && mc_delta_pTy >= 0.15" +0 6 "mc_is_signal && mc_delta_pTx >= 0.4 && mc_delta_pTy >= 0.15" +0 7 "mc_is_signal && mc_theta_mu_p >= 0 && mc_theta_mu_p < 30" +0 7 "mc_is_signal && mc_theta_mu_p >= 30 && mc_theta_mu_p < 40" +0 7 "mc_is_signal && mc_theta_mu_p >= 40 && mc_theta_mu_p < 50" +0 7 "mc_is_signal && mc_theta_mu_p >= 50 && mc_theta_mu_p < 60" +0 7 "mc_is_signal && mc_theta_mu_p >= 60 && mc_theta_mu_p < 70" +0 7 "mc_is_signal && mc_theta_mu_p >= 70 && mc_theta_mu_p < 80" +0 7 "mc_is_signal && mc_theta_mu_p >= 80 && mc_theta_mu_p < 90" +0 7 "mc_is_signal && mc_theta_mu_p >= 90 && mc_theta_mu_p < 100" +0 7 "mc_is_signal && mc_theta_mu_p >= 100 && mc_theta_mu_p < 110" +0 7 "mc_is_signal && mc_theta_mu_p >= 110 && mc_theta_mu_p < 120" +0 7 "mc_is_signal && mc_theta_mu_p >= 120 && mc_theta_mu_p < 130" +0 7 "mc_is_signal && mc_theta_mu_p >= 130 && mc_theta_mu_p < 140" +0 7 "mc_is_signal && mc_theta_mu_p >= 140 && mc_theta_mu_p < 150" +0 7 "mc_is_signal && mc_theta_mu_p >= 150 && mc_theta_mu_p < 180" +0 8 "mc_is_signal && mc_pn >= 0 && mc_pn < 0.07" +0 8 "mc_is_signal && mc_pn >= 0.07 && mc_pn < 0.14" +0 8 "mc_is_signal && mc_pn >= 0.14 && mc_pn < 0.21" +0 8 "mc_is_signal && mc_pn >= 0.21 && mc_pn < 0.28" +0 8 "mc_is_signal && mc_pn >= 0.28 && mc_pn < 0.35" +0 8 "mc_is_signal && mc_pn >= 0.35 && mc_pn < 0.45" +0 8 "mc_is_signal && mc_pn >= 0.45 && mc_pn < 0.54" +0 8 "mc_is_signal && mc_pn >= 0.54 && mc_pn < 0.66" +0 8 "mc_is_signal && mc_pn >= 0.66 && mc_pn < 0.77" +0 8 "mc_is_signal && mc_pn >= 0.77 && mc_pn < 0.9" +0 8 "mc_is_signal && mc_pn >= 0.9" +0 9 "mc_is_signal && mc_theta_mu_p >= 0 && mc_theta_mu_p < 60 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 60 && mc_theta_mu_p < 70 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 70 && mc_theta_mu_p < 80 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 80 && mc_theta_mu_p < 90 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 90 && mc_theta_mu_p < 100 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 100 && mc_theta_mu_p < 110 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 110 && mc_theta_mu_p < 120 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 120 && mc_theta_mu_p < 130 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 130 && mc_theta_mu_p < 140 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 140 && mc_theta_mu_p < 150 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 150 && mc_theta_mu_p < 180 && mc_pn >= 0 && mc_pn < 0.21" +0 9 "mc_is_signal && mc_theta_mu_p >= 0 && mc_theta_mu_p < 45 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 45 && mc_theta_mu_p < 60 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 60 && mc_theta_mu_p < 75 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 75 && mc_theta_mu_p < 90 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 90 && mc_theta_mu_p < 100 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 100 && mc_theta_mu_p < 110 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 110 && mc_theta_mu_p < 120 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 120 && mc_theta_mu_p < 130 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 130 && mc_theta_mu_p < 140 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 140 && mc_theta_mu_p < 150 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 150 && mc_theta_mu_p < 180 && mc_pn >= 0.21 && mc_pn < 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 0 && mc_theta_mu_p < 30 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 30 && mc_theta_mu_p < 45 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 45 && mc_theta_mu_p < 60 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 60 && mc_theta_mu_p < 75 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 75 && mc_theta_mu_p < 90 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 90 && mc_theta_mu_p < 105 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 105 && mc_theta_mu_p < 120 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 120 && mc_theta_mu_p < 135 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 135 && mc_theta_mu_p < 150 && mc_pn >= 0.45" +0 9 "mc_is_signal && mc_theta_mu_p >= 150 && mc_theta_mu_p < 180 && mc_pn >= 0.45" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -1 && mc_p3_mu.CosTheta() < -0.85" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.85 && mc_p3_mu.CosTheta() < -0.775" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.775 && mc_p3_mu.CosTheta() < -0.7" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.7 && mc_p3_mu.CosTheta() < -0.625" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.625 && mc_p3_mu.CosTheta() < -0.55" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.55 && mc_p3_mu.CosTheta() < -0.475" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.475 && mc_p3_mu.CosTheta() < -0.4" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.4 && mc_p3_mu.CosTheta() < -0.325" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.325 && mc_p3_mu.CosTheta() < -0.25" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.25 && mc_p3_mu.CosTheta() < -0.175" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.175 && mc_p3_mu.CosTheta() < -0.1" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.1 && mc_p3_mu.CosTheta() < -0.025" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= -0.025 && mc_p3_mu.CosTheta() < 0.05" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.05 && mc_p3_mu.CosTheta() < 0.125" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.125 && mc_p3_mu.CosTheta() < 0.2" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.2 && mc_p3_mu.CosTheta() < 0.275" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.275 && mc_p3_mu.CosTheta() < 0.35" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.35 && mc_p3_mu.CosTheta() < 0.425" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.425 && mc_p3_mu.CosTheta() < 0.5" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.5 && mc_p3_mu.CosTheta() < 0.575" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.575 && mc_p3_mu.CosTheta() < 0.65" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.65 && mc_p3_mu.CosTheta() < 0.725" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.725 && mc_p3_mu.CosTheta() < 0.8" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.8 && mc_p3_mu.CosTheta() < 0.85" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.85 && mc_p3_mu.CosTheta() < 0.875" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.875 && mc_p3_mu.CosTheta() < 0.9" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.9 && mc_p3_mu.CosTheta() < 0.925" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.925 && mc_p3_mu.CosTheta() < 0.95" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.95 && mc_p3_mu.CosTheta() < 0.975" +0 10 "mc_is_signal && mc_p3_mu.CosTheta() >= 0.975 && mc_p3_mu.CosTheta() < 1" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -1 && mc_p3_lead_p.CosTheta() < -0.9" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.9 && mc_p3_lead_p.CosTheta() < -0.75" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.75 && mc_p3_lead_p.CosTheta() < -0.6" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.6 && mc_p3_lead_p.CosTheta() < -0.45" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.45 && mc_p3_lead_p.CosTheta() < -0.3" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.3 && mc_p3_lead_p.CosTheta() < -0.15" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= -0.15 && mc_p3_lead_p.CosTheta() < 0" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0 && mc_p3_lead_p.CosTheta() < 0.15" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.15 && mc_p3_lead_p.CosTheta() < 0.3" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.3 && mc_p3_lead_p.CosTheta() < 0.4" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.4 && mc_p3_lead_p.CosTheta() < 0.5" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.5 && mc_p3_lead_p.CosTheta() < 0.6" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.6 && mc_p3_lead_p.CosTheta() < 0.7" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.7 && mc_p3_lead_p.CosTheta() < 0.8" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.8 && mc_p3_lead_p.CosTheta() < 0.85" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.85 && mc_p3_lead_p.CosTheta() < 0.9" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.9 && mc_p3_lead_p.CosTheta() < 0.925" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.925 && mc_p3_lead_p.CosTheta() < 0.95" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.95 && mc_p3_lead_p.CosTheta() < 0.975" +0 11 "mc_is_signal && mc_p3_lead_p.CosTheta() >= 0.975 && mc_p3_lead_p.CosTheta() < 1" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.25 && mc_p3_lead_p.Mag() < 0.3" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.3 && mc_p3_lead_p.Mag() < 0.35" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.35 && mc_p3_lead_p.Mag() < 0.4" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.4 && mc_p3_lead_p.Mag() < 0.45" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.45 && mc_p3_lead_p.Mag() < 0.5" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.5 && mc_p3_lead_p.Mag() < 0.55" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.55 && mc_p3_lead_p.Mag() < 0.6" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.6 && mc_p3_lead_p.Mag() < 0.65" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.65 && mc_p3_lead_p.Mag() < 0.7" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.7 && mc_p3_lead_p.Mag() < 0.75" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.75 && mc_p3_lead_p.Mag() < 0.8" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.8 && mc_p3_lead_p.Mag() < 0.85" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.85 && mc_p3_lead_p.Mag() < 0.9" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.9 && mc_p3_lead_p.Mag() < 0.95" +0 12 "mc_is_signal && mc_p3_lead_p.Mag() >= 0.95 && mc_p3_lead_p.Mag() < 1" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.1 && mc_p3_mu.Mag() < 0.175" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.175 && mc_p3_mu.Mag() < 0.2" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.2 && mc_p3_mu.Mag() < 0.225" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.225 && mc_p3_mu.Mag() < 0.25" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.25 && mc_p3_mu.Mag() < 0.275" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.275 && mc_p3_mu.Mag() < 0.3" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.3 && mc_p3_mu.Mag() < 0.325" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.325 && mc_p3_mu.Mag() < 0.35" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.35 && mc_p3_mu.Mag() < 0.375" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.375 && mc_p3_mu.Mag() < 0.4" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.4 && mc_p3_mu.Mag() < 0.425" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.425 && mc_p3_mu.Mag() < 0.45" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.45 && mc_p3_mu.Mag() < 0.475" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.475 && mc_p3_mu.Mag() < 0.5" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.5 && mc_p3_mu.Mag() < 0.55" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.55 && mc_p3_mu.Mag() < 0.6" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.6 && mc_p3_mu.Mag() < 0.65" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.65 && mc_p3_mu.Mag() < 0.7" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.7 && mc_p3_mu.Mag() < 0.75" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.75 && mc_p3_mu.Mag() < 0.8" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.8 && mc_p3_mu.Mag() < 0.85" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.85 && mc_p3_mu.Mag() < 0.9" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.9 && mc_p3_mu.Mag() < 0.95" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 0.95 && mc_p3_mu.Mag() < 1" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 1 && mc_p3_mu.Mag() < 1.1" +0 13 "mc_is_signal && mc_p3_mu.Mag() >= 1.1 && mc_p3_mu.Mag() < 1.2" +1 -1 "category == 5" +1 -1 "category == 6" +1 -1 "category == 7" +1 -1 "category == 8" +1 -1 "category == 9" +1 -1 "category == 10" +1 -1 "category == 11" +359 +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < -0.55" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= -0.55 && p3_mu.CosTheta() < -0.25" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= -0.25 && p3_mu.CosTheta() < 0" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= 0 && p3_mu.CosTheta() < 0.25" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= 0.25 && p3_mu.CosTheta() < 0.45" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= 0.45 && p3_mu.CosTheta() < 0.7" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.24 && p3_mu.CosTheta() >= 0.7 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < -0.55" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= -0.55 && p3_mu.CosTheta() < -0.25" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= -0.25 && p3_mu.CosTheta() < 0" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= 0 && p3_mu.CosTheta() < 0.25" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= 0.25 && p3_mu.CosTheta() < 0.45" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= 0.45 && p3_mu.CosTheta() < 0.7" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.24 && p3_mu.Mag() < 0.3 && p3_mu.CosTheta() >= 0.7 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < -0.4" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= -0.4 && p3_mu.CosTheta() < -0.1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= -0.1 && p3_mu.CosTheta() < 0.1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= 0.1 && p3_mu.CosTheta() < 0.35" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= 0.35 && p3_mu.CosTheta() < 0.5" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= 0.5 && p3_mu.CosTheta() < 0.7" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= 0.7 && p3_mu.CosTheta() < 0.85" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.38 && p3_mu.CosTheta() >= 0.85 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < 0" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= 0 && p3_mu.CosTheta() < 0.5" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= 0.5 && p3_mu.CosTheta() < 0.65" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= 0.65 && p3_mu.CosTheta() < 0.8" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= 0.8 && p3_mu.CosTheta() < 0.92" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.38 && p3_mu.Mag() < 0.48 && p3_mu.CosTheta() >= 0.92 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < 0.2" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.2 && p3_mu.CosTheta() < 0.5" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.5 && p3_mu.CosTheta() < 0.65" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.65 && p3_mu.CosTheta() < 0.8" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.8 && p3_mu.CosTheta() < 0.875" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.875 && p3_mu.CosTheta() < 0.95" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.48 && p3_mu.Mag() < 0.7 && p3_mu.CosTheta() >= 0.95 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.85 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < 0.65" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.85 && p3_mu.CosTheta() >= 0.65 && p3_mu.CosTheta() < 0.8" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.85 && p3_mu.CosTheta() >= 0.8 && p3_mu.CosTheta() < 0.875" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.85 && p3_mu.CosTheta() >= 0.875 && p3_mu.CosTheta() < 0.95" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.85 && p3_mu.CosTheta() >= 0.95 && p3_mu.CosTheta() < 1" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.85 && p3_mu.Mag() < 1.2 && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < 0.85" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.85 && p3_mu.Mag() < 1.2 && p3_mu.CosTheta() >= 0.85 && p3_mu.CosTheta() < 0.9" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.85 && p3_mu.Mag() < 1.2 && p3_mu.CosTheta() >= 0.9 && p3_mu.CosTheta() < 0.95" +0 0 "sel_CCNp0pi && p3_mu.Mag() >= 0.85 && p3_mu.Mag() < 1.2 && p3_mu.CosTheta() >= 0.95 && p3_mu.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.25 && p3_lead_p.Mag() < 0.325 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < 0" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.25 && p3_lead_p.Mag() < 0.325 && p3_lead_p.CosTheta() >= 0 && p3_lead_p.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.325 && p3_lead_p.Mag() < 0.4 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < -0.5" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.325 && p3_lead_p.Mag() < 0.4 && p3_lead_p.CosTheta() >= -0.5 && p3_lead_p.CosTheta() < 0" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.325 && p3_lead_p.Mag() < 0.4 && p3_lead_p.CosTheta() >= 0 && p3_lead_p.CosTheta() < 0.5" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.325 && p3_lead_p.Mag() < 0.4 && p3_lead_p.CosTheta() >= 0.5 && p3_lead_p.CosTheta() < 0.8" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.325 && p3_lead_p.Mag() < 0.4 && p3_lead_p.CosTheta() >= 0.8 && p3_lead_p.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < -0.6" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= -0.6 && p3_lead_p.CosTheta() < -0.2" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= -0.2 && p3_lead_p.CosTheta() < 0.2" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= 0.2 && p3_lead_p.CosTheta() < 0.5" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= 0.5 && p3_lead_p.CosTheta() < 0.65" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= 0.65 && p3_lead_p.CosTheta() < 0.85" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.5 && p3_lead_p.CosTheta() >= 0.85 && p3_lead_p.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < -0.2" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= -0.2 && p3_lead_p.CosTheta() < 0.2" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.2 && p3_lead_p.CosTheta() < 0.4" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.4 && p3_lead_p.CosTheta() < 0.6" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.6 && p3_lead_p.CosTheta() < 0.7" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.7 && p3_lead_p.CosTheta() < 0.8" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.8 && p3_lead_p.CosTheta() < 0.9" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.6 && p3_lead_p.CosTheta() >= 0.9 && p3_lead_p.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < 0.1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.1 && p3_lead_p.CosTheta() < 0.37" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.37 && p3_lead_p.CosTheta() < 0.5" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.5 && p3_lead_p.CosTheta() < 0.6" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.6 && p3_lead_p.CosTheta() < 0.7" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.7 && p3_lead_p.CosTheta() < 0.8" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.8 && p3_lead_p.CosTheta() < 0.9" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.7 && p3_lead_p.CosTheta() >= 0.9 && p3_lead_p.CosTheta() < 1" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < 0.45" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= 0.45 && p3_lead_p.CosTheta() < 0.65" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= 0.65 && p3_lead_p.CosTheta() < 0.75" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= 0.75 && p3_lead_p.CosTheta() < 0.82" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= 0.82 && p3_lead_p.CosTheta() < 0.9" +0 1 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 1 && p3_lead_p.CosTheta() >= 0.9 && p3_lead_p.CosTheta() < 1" +0 2 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.06" +0 2 "sel_CCNp0pi && delta_pT >= 0.06 && delta_pT < 0.12" +0 2 "sel_CCNp0pi && delta_pT >= 0.12 && delta_pT < 0.18" +0 2 "sel_CCNp0pi && delta_pT >= 0.18 && delta_pT < 0.24" +0 2 "sel_CCNp0pi && delta_pT >= 0.24 && delta_pT < 0.32" +0 2 "sel_CCNp0pi && delta_pT >= 0.32 && delta_pT < 0.4" +0 2 "sel_CCNp0pi && delta_pT >= 0.4 && delta_pT < 0.48" +0 2 "sel_CCNp0pi && delta_pT >= 0.48 && delta_pT < 0.55" +0 2 "sel_CCNp0pi && delta_pT >= 0.55 && delta_pT < 0.68" +0 2 "sel_CCNp0pi && delta_pT >= 0.68 && delta_pT < 0.75" +0 2 "sel_CCNp0pi && delta_pT >= 0.75 && delta_pT < 0.9" +0 2 "sel_CCNp0pi && delta_pT >= 0.9" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0 && delta_pT < 0.06" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.06 && delta_pT < 0.12" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.12 && delta_pT < 0.18" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.18 && delta_pT < 0.24" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.24 && delta_pT < 0.32" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.32 && delta_pT < 0.4" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.4 && delta_pT < 0.48" +0 3 "sel_CCNp0pi && delta_alphaT >= 0 && delta_alphaT < 45 && delta_pT >= 0.48" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0 && delta_pT < 0.06" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.06 && delta_pT < 0.12" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.12 && delta_pT < 0.18" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.18 && delta_pT < 0.24" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.24 && delta_pT < 0.32" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.32 && delta_pT < 0.4" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.4 && delta_pT < 0.48" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.48 && delta_pT < 0.55" +0 3 "sel_CCNp0pi && delta_alphaT >= 45 && delta_alphaT < 90 && delta_pT >= 0.55" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0 && delta_pT < 0.06" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.06 && delta_pT < 0.12" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.12 && delta_pT < 0.18" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.18 && delta_pT < 0.24" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.24 && delta_pT < 0.32" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.32 && delta_pT < 0.4" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.4 && delta_pT < 0.48" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.48 && delta_pT < 0.55" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.55 && delta_pT < 0.63" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.63 && delta_pT < 0.7" +0 3 "sel_CCNp0pi && delta_alphaT >= 90 && delta_alphaT < 135 && delta_pT >= 0.7" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0 && delta_pT < 0.06" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.06 && delta_pT < 0.12" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.12 && delta_pT < 0.18" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.18 && delta_pT < 0.24" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.24 && delta_pT < 0.32" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.32 && delta_pT < 0.4" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.4 && delta_pT < 0.5" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.5 && delta_pT < 0.6" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.6 && delta_pT < 0.72" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.72 && delta_pT < 0.9" +0 3 "sel_CCNp0pi && delta_alphaT >= 135 && delta_alphaT < 180 && delta_pT >= 0.9" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 0 && delta_alphaT < 25" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 25 && delta_alphaT < 60" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 60 && delta_alphaT < 95" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 95 && delta_alphaT < 120" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 120 && delta_alphaT < 145" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 145 && delta_alphaT < 165" +0 4 "sel_CCNp0pi && delta_pT >= 0 && delta_pT < 0.2 && delta_alphaT >= 165 && delta_alphaT < 180" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 0 && delta_alphaT < 25" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 25 && delta_alphaT < 60" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 60 && delta_alphaT < 95" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 95 && delta_alphaT < 120" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 120 && delta_alphaT < 145" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 145 && delta_alphaT < 165" +0 4 "sel_CCNp0pi && delta_pT >= 0.2 && delta_pT < 0.3 && delta_alphaT >= 165 && delta_alphaT < 180" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 0 && delta_alphaT < 25" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 25 && delta_alphaT < 60" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 60 && delta_alphaT < 95" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 95 && delta_alphaT < 120" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 120 && delta_alphaT < 145" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 145 && delta_alphaT < 165" +0 4 "sel_CCNp0pi && delta_pT >= 0.3 && delta_pT < 0.4 && delta_alphaT >= 165 && delta_alphaT < 180" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 0 && delta_alphaT < 25" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 25 && delta_alphaT < 60" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 60 && delta_alphaT < 95" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 95 && delta_alphaT < 120" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 120 && delta_alphaT < 145" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 145 && delta_alphaT < 165" +0 4 "sel_CCNp0pi && delta_pT >= 0.4 && delta_alphaT >= 165 && delta_alphaT < 180" +0 5 "sel_CCNp0pi && delta_pTx < -0.6" +0 5 "sel_CCNp0pi && delta_pTx >= -0.6 && delta_pTx < -0.45" +0 5 "sel_CCNp0pi && delta_pTx >= -0.45 && delta_pTx < -0.35" +0 5 "sel_CCNp0pi && delta_pTx >= -0.35 && delta_pTx < -0.25" +0 5 "sel_CCNp0pi && delta_pTx >= -0.25 && delta_pTx < -0.15" +0 5 "sel_CCNp0pi && delta_pTx >= -0.15 && delta_pTx < -0.075" +0 5 "sel_CCNp0pi && delta_pTx >= -0.075 && delta_pTx < 0" +0 5 "sel_CCNp0pi && delta_pTx >= 0 && delta_pTx < 0.075" +0 5 "sel_CCNp0pi && delta_pTx >= 0.075 && delta_pTx < 0.15" +0 5 "sel_CCNp0pi && delta_pTx >= 0.15 && delta_pTx < 0.25" +0 5 "sel_CCNp0pi && delta_pTx >= 0.25 && delta_pTx < 0.35" +0 5 "sel_CCNp0pi && delta_pTx >= 0.35 && delta_pTx < 0.45" +0 5 "sel_CCNp0pi && delta_pTx >= 0.45 && delta_pTx < 0.6" +0 5 "sel_CCNp0pi && delta_pTx >= 0.6" +0 6 "sel_CCNp0pi && delta_pTx < -0.6 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.6 && delta_pTx < -0.45 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.45 && delta_pTx < -0.35 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.35 && delta_pTx < -0.25 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.25 && delta_pTx < -0.15 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.15 && delta_pTx < -0.075 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.075 && delta_pTx < 0 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0 && delta_pTx < 0.075 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.075 && delta_pTx < 0.15 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.15 && delta_pTx < 0.25 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.25 && delta_pTx < 0.35 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.35 && delta_pTx < 0.45 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.45 && delta_pTx < 0.6 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.6 && delta_pTy < -0.15" +0 6 "sel_CCNp0pi && delta_pTx < -0.6 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.6 && delta_pTx < -0.45 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.45 && delta_pTx < -0.35 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.35 && delta_pTx < -0.25 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.25 && delta_pTx < -0.15 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.15 && delta_pTx < -0.075 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.075 && delta_pTx < 0 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0 && delta_pTx < 0.075 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.075 && delta_pTx < 0.15 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.15 && delta_pTx < 0.25 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.25 && delta_pTx < 0.35 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.35 && delta_pTx < 0.45 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.45 && delta_pTx < 0.6 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.6 && delta_pTy >= -0.15 && delta_pTy < 0.15" +0 6 "sel_CCNp0pi && delta_pTx < -0.4 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.4 && delta_pTx < -0.3 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.3 && delta_pTx < -0.2 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.2 && delta_pTx < -0.1 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= -0.1 && delta_pTx < 0 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0 && delta_pTx < 0.1 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.1 && delta_pTx < 0.2 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.2 && delta_pTx < 0.3 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.3 && delta_pTx < 0.4 && delta_pTy >= 0.15" +0 6 "sel_CCNp0pi && delta_pTx >= 0.4 && delta_pTy >= 0.15" +0 7 "sel_CCNp0pi && theta_mu_p >= 0 && theta_mu_p < 30" +0 7 "sel_CCNp0pi && theta_mu_p >= 30 && theta_mu_p < 40" +0 7 "sel_CCNp0pi && theta_mu_p >= 40 && theta_mu_p < 50" +0 7 "sel_CCNp0pi && theta_mu_p >= 50 && theta_mu_p < 60" +0 7 "sel_CCNp0pi && theta_mu_p >= 60 && theta_mu_p < 70" +0 7 "sel_CCNp0pi && theta_mu_p >= 70 && theta_mu_p < 80" +0 7 "sel_CCNp0pi && theta_mu_p >= 80 && theta_mu_p < 90" +0 7 "sel_CCNp0pi && theta_mu_p >= 90 && theta_mu_p < 100" +0 7 "sel_CCNp0pi && theta_mu_p >= 100 && theta_mu_p < 110" +0 7 "sel_CCNp0pi && theta_mu_p >= 110 && theta_mu_p < 120" +0 7 "sel_CCNp0pi && theta_mu_p >= 120 && theta_mu_p < 130" +0 7 "sel_CCNp0pi && theta_mu_p >= 130 && theta_mu_p < 140" +0 7 "sel_CCNp0pi && theta_mu_p >= 140 && theta_mu_p < 150" +0 7 "sel_CCNp0pi && theta_mu_p >= 150 && theta_mu_p < 180" +0 8 "sel_CCNp0pi && pn >= 0 && pn < 0.07" +0 8 "sel_CCNp0pi && pn >= 0.07 && pn < 0.14" +0 8 "sel_CCNp0pi && pn >= 0.14 && pn < 0.21" +0 8 "sel_CCNp0pi && pn >= 0.21 && pn < 0.28" +0 8 "sel_CCNp0pi && pn >= 0.28 && pn < 0.35" +0 8 "sel_CCNp0pi && pn >= 0.35 && pn < 0.45" +0 8 "sel_CCNp0pi && pn >= 0.45 && pn < 0.54" +0 8 "sel_CCNp0pi && pn >= 0.54 && pn < 0.66" +0 8 "sel_CCNp0pi && pn >= 0.66 && pn < 0.77" +0 8 "sel_CCNp0pi && pn >= 0.77 && pn < 0.9" +0 8 "sel_CCNp0pi && pn >= 0.9" +0 9 "sel_CCNp0pi && theta_mu_p >= 0 && theta_mu_p < 60 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 60 && theta_mu_p < 70 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 70 && theta_mu_p < 80 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 80 && theta_mu_p < 90 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 90 && theta_mu_p < 100 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 100 && theta_mu_p < 110 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 110 && theta_mu_p < 120 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 120 && theta_mu_p < 130 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 130 && theta_mu_p < 140 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 140 && theta_mu_p < 150 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 150 && theta_mu_p < 180 && pn >= 0 && pn < 0.21" +0 9 "sel_CCNp0pi && theta_mu_p >= 0 && theta_mu_p < 45 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 45 && theta_mu_p < 60 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 60 && theta_mu_p < 75 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 75 && theta_mu_p < 90 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 90 && theta_mu_p < 100 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 100 && theta_mu_p < 110 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 110 && theta_mu_p < 120 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 120 && theta_mu_p < 130 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 130 && theta_mu_p < 140 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 140 && theta_mu_p < 150 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 150 && theta_mu_p < 180 && pn >= 0.21 && pn < 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 0 && theta_mu_p < 30 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 30 && theta_mu_p < 45 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 45 && theta_mu_p < 60 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 60 && theta_mu_p < 75 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 75 && theta_mu_p < 90 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 90 && theta_mu_p < 105 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 105 && theta_mu_p < 120 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 120 && theta_mu_p < 135 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 135 && theta_mu_p < 150 && pn >= 0.45" +0 9 "sel_CCNp0pi && theta_mu_p >= 150 && theta_mu_p < 180 && pn >= 0.45" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -1 && p3_mu.CosTheta() < -0.85" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.85 && p3_mu.CosTheta() < -0.775" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.775 && p3_mu.CosTheta() < -0.7" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.7 && p3_mu.CosTheta() < -0.625" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.625 && p3_mu.CosTheta() < -0.55" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.55 && p3_mu.CosTheta() < -0.475" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.475 && p3_mu.CosTheta() < -0.4" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.4 && p3_mu.CosTheta() < -0.325" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.325 && p3_mu.CosTheta() < -0.25" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.25 && p3_mu.CosTheta() < -0.175" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.175 && p3_mu.CosTheta() < -0.1" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.1 && p3_mu.CosTheta() < -0.025" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= -0.025 && p3_mu.CosTheta() < 0.05" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.05 && p3_mu.CosTheta() < 0.125" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.125 && p3_mu.CosTheta() < 0.2" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.2 && p3_mu.CosTheta() < 0.275" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.275 && p3_mu.CosTheta() < 0.35" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.35 && p3_mu.CosTheta() < 0.425" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.425 && p3_mu.CosTheta() < 0.5" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.5 && p3_mu.CosTheta() < 0.575" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.575 && p3_mu.CosTheta() < 0.65" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.65 && p3_mu.CosTheta() < 0.725" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.725 && p3_mu.CosTheta() < 0.8" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.8 && p3_mu.CosTheta() < 0.85" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.85 && p3_mu.CosTheta() < 0.875" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.875 && p3_mu.CosTheta() < 0.9" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.9 && p3_mu.CosTheta() < 0.925" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.925 && p3_mu.CosTheta() < 0.95" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.95 && p3_mu.CosTheta() < 0.975" +0 10 "sel_CCNp0pi && p3_mu.CosTheta() >= 0.975 && p3_mu.CosTheta() < 1" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -1 && p3_lead_p.CosTheta() < -0.9" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.9 && p3_lead_p.CosTheta() < -0.75" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.75 && p3_lead_p.CosTheta() < -0.6" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.6 && p3_lead_p.CosTheta() < -0.45" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.45 && p3_lead_p.CosTheta() < -0.3" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.3 && p3_lead_p.CosTheta() < -0.15" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= -0.15 && p3_lead_p.CosTheta() < 0" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0 && p3_lead_p.CosTheta() < 0.15" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.15 && p3_lead_p.CosTheta() < 0.3" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.3 && p3_lead_p.CosTheta() < 0.4" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.4 && p3_lead_p.CosTheta() < 0.5" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.5 && p3_lead_p.CosTheta() < 0.6" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.6 && p3_lead_p.CosTheta() < 0.7" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.7 && p3_lead_p.CosTheta() < 0.8" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.8 && p3_lead_p.CosTheta() < 0.85" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.85 && p3_lead_p.CosTheta() < 0.9" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.9 && p3_lead_p.CosTheta() < 0.925" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.925 && p3_lead_p.CosTheta() < 0.95" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.95 && p3_lead_p.CosTheta() < 0.975" +0 11 "sel_CCNp0pi && p3_lead_p.CosTheta() >= 0.975 && p3_lead_p.CosTheta() < 1" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.25 && p3_lead_p.Mag() < 0.3" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.3 && p3_lead_p.Mag() < 0.35" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.35 && p3_lead_p.Mag() < 0.4" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.4 && p3_lead_p.Mag() < 0.45" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.45 && p3_lead_p.Mag() < 0.5" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.5 && p3_lead_p.Mag() < 0.55" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.55 && p3_lead_p.Mag() < 0.6" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.6 && p3_lead_p.Mag() < 0.65" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.65 && p3_lead_p.Mag() < 0.7" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.7 && p3_lead_p.Mag() < 0.75" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.75 && p3_lead_p.Mag() < 0.8" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.8 && p3_lead_p.Mag() < 0.85" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.85 && p3_lead_p.Mag() < 0.9" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.9 && p3_lead_p.Mag() < 0.95" +0 12 "sel_CCNp0pi && p3_lead_p.Mag() >= 0.95 && p3_lead_p.Mag() < 1" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.1 && p3_mu.Mag() < 0.175" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.175 && p3_mu.Mag() < 0.2" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.2 && p3_mu.Mag() < 0.225" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.225 && p3_mu.Mag() < 0.25" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.25 && p3_mu.Mag() < 0.275" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.275 && p3_mu.Mag() < 0.3" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.3 && p3_mu.Mag() < 0.325" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.325 && p3_mu.Mag() < 0.35" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.35 && p3_mu.Mag() < 0.375" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.375 && p3_mu.Mag() < 0.4" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.4 && p3_mu.Mag() < 0.425" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.425 && p3_mu.Mag() < 0.45" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.45 && p3_mu.Mag() < 0.475" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.475 && p3_mu.Mag() < 0.5" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.5 && p3_mu.Mag() < 0.55" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.55 && p3_mu.Mag() < 0.6" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.6 && p3_mu.Mag() < 0.65" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.65 && p3_mu.Mag() < 0.7" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.7 && p3_mu.Mag() < 0.75" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.75 && p3_mu.Mag() < 0.8" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.8 && p3_mu.Mag() < 0.85" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.85 && p3_mu.Mag() < 0.9" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.9 && p3_mu.Mag() < 0.95" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 0.95 && p3_mu.Mag() < 1" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 1 && p3_mu.Mag() < 1.1" +0 13 "sel_CCNp0pi && p3_mu.Mag() >= 1.1 && p3_mu.Mag() < 1.2" diff --git a/data/MicroBooNE/CC1MuNp/2025/mat_table_add_smear.txt b/data/MicroBooNE/CC1MuNp/2025/mat_table_add_smear.txt new file mode 100755 index 000000000..bc58351a3 --- /dev/null +++ b/data/MicroBooNE/CC1MuNp/2025/mat_table_add_smear.txt @@ -0,0 +1,128884 @@ +numXbins 359 +numYbins 359 +xbin ybin z +0 0 7.07840071182428310e-01 +0 1 1.07570441553090965e-01 +0 2 3.94804436804897622e-03 +0 3 1.67483247469534164e-03 +0 4 2.24363952586537248e-02 +0 5 8.76861163978073788e-02 +0 6 2.50527990466595962e-01 +0 7 1.24872965932988411e-01 +0 8 1.71496713386902512e-02 +0 9 1.37267082575403859e-03 +0 10 4.34933119282016804e-04 +0 11 5.38726075532362618e-03 +0 12 1.93864401835400560e-02 +0 13 8.51929691402064926e-02 +0 14 9.95924583338828051e-03 +0 15 7.29651832547415446e-04 +0 16 2.82112768370219738e-03 +0 17 3.39319954885488077e-03 +0 18 7.37530918410484945e-04 +0 19 2.83037716427041609e-03 +0 20 1.00398405760480924e-02 +0 21 5.56162865025332798e-02 +0 22 6.04537507253070211e-04 +0 23 3.28718192300099272e-04 +0 24 1.08909181817209560e-04 +0 25 6.18029469410731939e-04 +0 26 2.14243759808618612e-03 +0 27 1.14801785875173271e-02 +0 28 3.55182084231015177e-04 +0 29 8.06370521430737881e-05 +0 30 8.61913113492894376e-05 +0 31 7.18030843877719339e-05 +0 32 3.86562309760687061e-04 +0 33 4.80646998355428214e-04 +0 34 3.07792269683877968e-04 +0 35 2.39449128163104103e-04 +0 36 2.51219048652240895e-05 +0 37 1.68497300521232253e-03 +0 38 1.22049248338151959e-04 +0 39 0.00000000000000000e+00 +0 40 3.93671283077294250e-04 +0 41 1.18653441318908735e-04 +0 42 0.00000000000000000e+00 +0 43 1.54207319575321944e-05 +0 44 0.00000000000000000e+00 +0 45 0.00000000000000000e+00 +0 46 0.00000000000000000e+00 +0 47 0.00000000000000000e+00 +0 48 0.00000000000000000e+00 +0 49 0.00000000000000000e+00 +0 50 0.00000000000000000e+00 +0 51 0.00000000000000000e+00 +0 52 0.00000000000000000e+00 +0 53 0.00000000000000000e+00 +0 54 0.00000000000000000e+00 +0 55 0.00000000000000000e+00 +0 56 0.00000000000000000e+00 +0 57 0.00000000000000000e+00 +0 58 0.00000000000000000e+00 +0 59 0.00000000000000000e+00 +0 60 0.00000000000000000e+00 +0 61 0.00000000000000000e+00 +0 62 0.00000000000000000e+00 +0 63 0.00000000000000000e+00 +0 64 0.00000000000000000e+00 +0 65 0.00000000000000000e+00 +0 66 0.00000000000000000e+00 +0 67 0.00000000000000000e+00 +0 68 0.00000000000000000e+00 +0 69 0.00000000000000000e+00 +0 70 0.00000000000000000e+00 +0 71 0.00000000000000000e+00 +0 72 0.00000000000000000e+00 +0 73 0.00000000000000000e+00 +0 74 0.00000000000000000e+00 +0 75 0.00000000000000000e+00 +0 76 0.00000000000000000e+00 +0 77 0.00000000000000000e+00 +0 78 0.00000000000000000e+00 +0 79 0.00000000000000000e+00 +0 80 0.00000000000000000e+00 +0 81 0.00000000000000000e+00 +0 82 0.00000000000000000e+00 +0 83 0.00000000000000000e+00 +0 84 0.00000000000000000e+00 +0 85 0.00000000000000000e+00 +0 86 0.00000000000000000e+00 +0 87 0.00000000000000000e+00 +0 88 0.00000000000000000e+00 +0 89 0.00000000000000000e+00 +0 90 0.00000000000000000e+00 +0 91 0.00000000000000000e+00 +0 92 0.00000000000000000e+00 +0 93 0.00000000000000000e+00 +0 94 0.00000000000000000e+00 +0 95 0.00000000000000000e+00 +0 96 0.00000000000000000e+00 +0 97 0.00000000000000000e+00 +0 98 0.00000000000000000e+00 +0 99 0.00000000000000000e+00 +0 100 0.00000000000000000e+00 +0 101 0.00000000000000000e+00 +0 102 0.00000000000000000e+00 +0 103 0.00000000000000000e+00 +0 104 0.00000000000000000e+00 +0 105 0.00000000000000000e+00 +0 106 0.00000000000000000e+00 +0 107 0.00000000000000000e+00 +0 108 0.00000000000000000e+00 +0 109 0.00000000000000000e+00 +0 110 0.00000000000000000e+00 +0 111 0.00000000000000000e+00 +0 112 0.00000000000000000e+00 +0 113 0.00000000000000000e+00 +0 114 0.00000000000000000e+00 +0 115 0.00000000000000000e+00 +0 116 0.00000000000000000e+00 +0 117 0.00000000000000000e+00 +0 118 0.00000000000000000e+00 +0 119 0.00000000000000000e+00 +0 120 0.00000000000000000e+00 +0 121 0.00000000000000000e+00 +0 122 0.00000000000000000e+00 +0 123 0.00000000000000000e+00 +0 124 0.00000000000000000e+00 +0 125 0.00000000000000000e+00 +0 126 0.00000000000000000e+00 +0 127 0.00000000000000000e+00 +0 128 0.00000000000000000e+00 +0 129 0.00000000000000000e+00 +0 130 0.00000000000000000e+00 +0 131 0.00000000000000000e+00 +0 132 0.00000000000000000e+00 +0 133 0.00000000000000000e+00 +0 134 0.00000000000000000e+00 +0 135 0.00000000000000000e+00 +0 136 0.00000000000000000e+00 +0 137 0.00000000000000000e+00 +0 138 0.00000000000000000e+00 +0 139 0.00000000000000000e+00 +0 140 0.00000000000000000e+00 +0 141 0.00000000000000000e+00 +0 142 0.00000000000000000e+00 +0 143 0.00000000000000000e+00 +0 144 0.00000000000000000e+00 +0 145 0.00000000000000000e+00 +0 146 0.00000000000000000e+00 +0 147 0.00000000000000000e+00 +0 148 0.00000000000000000e+00 +0 149 0.00000000000000000e+00 +0 150 0.00000000000000000e+00 +0 151 0.00000000000000000e+00 +0 152 0.00000000000000000e+00 +0 153 0.00000000000000000e+00 +0 154 0.00000000000000000e+00 +0 155 0.00000000000000000e+00 +0 156 0.00000000000000000e+00 +0 157 0.00000000000000000e+00 +0 158 0.00000000000000000e+00 +0 159 0.00000000000000000e+00 +0 160 0.00000000000000000e+00 +0 161 0.00000000000000000e+00 +0 162 0.00000000000000000e+00 +0 163 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0.00000000000000000e+00 +0 196 0.00000000000000000e+00 +0 197 0.00000000000000000e+00 +0 198 0.00000000000000000e+00 +0 199 0.00000000000000000e+00 +0 200 0.00000000000000000e+00 +0 201 0.00000000000000000e+00 +0 202 0.00000000000000000e+00 +0 203 0.00000000000000000e+00 +0 204 0.00000000000000000e+00 +0 205 0.00000000000000000e+00 +0 206 0.00000000000000000e+00 +0 207 0.00000000000000000e+00 +0 208 0.00000000000000000e+00 +0 209 0.00000000000000000e+00 +0 210 0.00000000000000000e+00 +0 211 0.00000000000000000e+00 +0 212 0.00000000000000000e+00 +0 213 0.00000000000000000e+00 +0 214 0.00000000000000000e+00 +0 215 0.00000000000000000e+00 +0 216 0.00000000000000000e+00 +0 217 0.00000000000000000e+00 +0 218 0.00000000000000000e+00 +0 219 0.00000000000000000e+00 +0 220 0.00000000000000000e+00 +0 221 0.00000000000000000e+00 +0 222 0.00000000000000000e+00 +0 223 0.00000000000000000e+00 +0 224 0.00000000000000000e+00 +0 225 0.00000000000000000e+00 +0 226 0.00000000000000000e+00 +0 227 0.00000000000000000e+00 +0 228 0.00000000000000000e+00 +0 229 0.00000000000000000e+00 +0 230 0.00000000000000000e+00 +0 231 0.00000000000000000e+00 +0 232 0.00000000000000000e+00 +0 233 0.00000000000000000e+00 +0 234 0.00000000000000000e+00 +0 235 0.00000000000000000e+00 +0 236 0.00000000000000000e+00 +0 237 0.00000000000000000e+00 +0 238 0.00000000000000000e+00 +0 239 0.00000000000000000e+00 +0 240 0.00000000000000000e+00 +0 241 0.00000000000000000e+00 +0 242 0.00000000000000000e+00 +0 243 0.00000000000000000e+00 +0 244 0.00000000000000000e+00 +0 245 0.00000000000000000e+00 +0 246 0.00000000000000000e+00 +0 247 0.00000000000000000e+00 +0 248 0.00000000000000000e+00 +0 249 0.00000000000000000e+00 +0 250 0.00000000000000000e+00 +0 251 0.00000000000000000e+00 +0 252 0.00000000000000000e+00 +0 253 0.00000000000000000e+00 +0 254 0.00000000000000000e+00 +0 255 0.00000000000000000e+00 +0 256 0.00000000000000000e+00 +0 257 0.00000000000000000e+00 +0 258 0.00000000000000000e+00 +0 259 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5.42595435382959179e-01 +347 9.91368053078157008e-01 +348 1.04321095779231432e+00 +349 9.03708271600891955e-01 +350 8.51158746891433116e-01 +351 7.15308881950764253e-01 +352 7.07672466075676687e-01 +353 6.17000285881088240e-01 +354 6.03542619747882259e-01 +355 5.18693996099289012e-01 +356 4.31906980166545440e-01 +357 7.25510879230950145e-01 +358 4.76015743568375227e-01 \ No newline at end of file diff --git a/src/FCN/SampleList.cxx b/src/FCN/SampleList.cxx index b0f25b399..df73ad8d4 100644 --- a/src/FCN/SampleList.cxx +++ b/src/FCN/SampleList.cxx @@ -189,6 +189,7 @@ #include "MicroBooNE_CC1Mu0pNp_XSec_nu.h" #include "MicroBooNE_CC1Mu3DInc_XSec_nu.h" #include "MicroBooNE_NCpi0_XSec_nu.h" +#include "MicroBooNE_CC1MuNp_XSec_2025_nu.h" #endif #ifdef MINERvA_ENABLED @@ -1194,6 +1195,8 @@ MeasurementBase *CreateSample(nuiskey samplekey) { return (new MicroBooNE_NCpi0_XSec_nu(samplekey)); } else if (!name.compare("MicroBooNE_NCpi0_XSec_AllNCpi0_nu")) { return (new MicroBooNE_NCpi0_XSec_nu(samplekey)); + } else if ( !name.compare("MicroBooNE_CC1MuNp_XSec_2025_nu") ) { + return ( new MicroBooNE_CC1MuNp_XSec_2025_nu(samplekey) ); } else #endif diff --git a/src/FitBase/Measurement1D.cxx b/src/FitBase/Measurement1D.cxx index cf235f1c1..1b0fcc0db 100644 --- a/src/FitBase/Measurement1D.cxx +++ b/src/FitBase/Measurement1D.cxx @@ -133,8 +133,8 @@ Measurement1D::~Measurement1D(void) { delete fInvNormalCovar; // ***** end NS covar modifications ***** - delete fResidualHist; - delete fChi2LessBinHist; + if ( fResidualHist ) delete fResidualHist; + if ( fChi2LessBinHist ) delete fChi2LessBinHist; } //******************************************************************** diff --git a/src/MicroBooNE/CMakeLists.txt b/src/MicroBooNE/CMakeLists.txt index 55872d7b2..810ccbb25 100644 --- a/src/MicroBooNE/CMakeLists.txt +++ b/src/MicroBooNE/CMakeLists.txt @@ -25,7 +25,9 @@ set(MicroBooNE_Impl_Files MicroBooNE_CC1Mu0pNp_XSec_nu.cxx MicroBooNE_CC1Mu3DInc_XSec_nu.cxx MicroBooNE_NCpi0_XSec_nu.cxx + MicroBooNE_CC1MuNp_XSec_2025_nu.cxx MicroBooNE_SignalDef.cxx + MicroBooNEBlockHandler.cxx ) set(MicroBooNE_Hdr_Files @@ -36,7 +38,9 @@ set(MicroBooNE_Hdr_Files MicroBooNE_CC1Mu0pNp_XSec_nu.h MicroBooNE_CC1Mu3DInc_XSec_nu.h MicroBooNE_NCpi0_XSec_nu.h + MicroBooNE_CC1MuNp_XSec_2025_nu.h MicroBooNE_SignalDef.h + MicroBooNEBlockHandler.h ) add_library(MicroBooNE SHARED ${MicroBooNE_Impl_Files}) diff --git a/src/MicroBooNE/MicroBooNEBlockHandler.cxx b/src/MicroBooNE/MicroBooNEBlockHandler.cxx new file mode 100644 index 000000000..3690d25ac --- /dev/null +++ b/src/MicroBooNE/MicroBooNEBlockHandler.cxx @@ -0,0 +1,391 @@ +// MicroBooNEBlockHandler.cxx + +#include "MicroBooNEBlockHandler.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "TAxis.h" + +// ============================================================================= +// Constructor +// ============================================================================= + +MicroBooNEBlockHandler::MicroBooNEBlockHandler( + const std::string& hist_name_prefix, const std::string& filename ) + : fNamePrefix( hist_name_prefix ) +{ + std::vector blocks = parseFile(filename); + if (blocks.empty()) { + std::cerr << "[MicroBooNEBlockHandler] No blocks parsed from \"" + << filename << "\".\n"; + return; + } + buildHistograms(blocks); +} + +// ============================================================================= +// Diagnostics +// ============================================================================= + +void MicroBooNEBlockHandler::printSummary(size_t nShow) const +{ + // --- histograms --- + std::cout << "\nCreated " << fHists.size() << " histogram(s).\n\n"; + for (size_t i = 0; i < fHists.size(); ++i) { + const auto& h = fHists[i]; + std::cout << "[" << std::setw(3) << i << "] " + << std::setw(42) << std::left << h->GetTitle() + << " nbins=" << h->GetNbinsX() + << " xaxis=\"" << h->GetXaxis()->GetTitle() << "\"\n"; + } + + // --- fBinMap sample --- + std::cout << "\nfBinMap has " << fBinMap.size() << " entries.\n"; + std::cout << "Sample (globalBin -> {histIdx, rootBin, width}):\n"; + + std::vector keys; + keys.reserve(fBinMap.size()); + for (auto& kv : fBinMap) keys.push_back(kv.first); + std::sort(keys.begin(), keys.end()); + + auto printBinEntry = [&](int k) { + const auto& e = fBinMap.at(k); + std::cout << " globalBin " << std::setw(4) << k + << " -> histIdx=" << std::setw(3) << e.histIdx + << " rootBin=" << std::setw(3) << e.rootBin + << " width=" + << std::setw(10) << std::setprecision(5) << e.width + << " (\"" << fHists[e.histIdx]->GetTitle() << "\")\n"; + }; + + size_t n = std::min(nShow, keys.size()); + for (size_t i = 0; i < n; ++i) printBinEntry(keys[i]); + if (keys.size() > 2 * n) std::cout << " ...\n"; + size_t start = keys.size() > n ? keys.size() - n : n; + for (size_t i = start; i < keys.size(); ++i) printBinEntry(keys[i]); + + // --- fBlockBins summary --- + std::cout << "\nfBlockBins has " << fBlockBins.size() << " block(s).\n"; + std::vector blockKeys; + blockKeys.reserve(fBlockBins.size()); + for (auto& kv : fBlockBins) blockKeys.push_back(kv.first); + std::sort(blockKeys.begin(), blockKeys.end()); + for (int bk : blockKeys) { + const auto& v = fBlockBins.at(bk); + std::cout << " block " << std::setw(2) << bk + << " -> " << v.size() << " global bins" + << " [" << v.front() << " .. " << v.back() << "]\n"; + } + + // --- fBlockHists summary --- + std::cout << "\nfBlockHists has " << fBlockHists.size() << " block(s).\n"; + std::vector histBlockKeys; + histBlockKeys.reserve(fBlockHists.size()); + for (auto& kv : fBlockHists) histBlockKeys.push_back(kv.first); + std::sort(histBlockKeys.begin(), histBlockKeys.end()); + for (int bk : histBlockKeys) { + const auto& v = fBlockHists.at(bk); + std::cout << " block " << std::setw(2) << bk + << " -> " << v.size() << " hist(s)" + << " [" << v.front() << " .. " << v.back() << "]\n"; + } + std::cout << "\n"; +} + +// ============================================================================= +// Parsing helpers +// ============================================================================= + +std::string MicroBooNEBlockHandler::nextQuoted(const std::string& line, size_t& pos) +{ + size_t open = line.find('"', pos); + if (open == std::string::npos) return ""; + size_t close = line.find('"', open + 1); + if (close == std::string::npos) return ""; + pos = close + 1; + return line.substr(open + 1, close - open - 1); +} + +double MicroBooNEBlockHandler::parseEdge(const std::string& tok) +{ + if (tok == "inf") return std::numeric_limits::infinity(); + if (tok == "-inf") return -std::numeric_limits::infinity(); + return std::stod(tok); +} + +std::vector MicroBooNEBlockHandler::parseFile(const std::string& filename) +{ + std::ifstream ifs(filename); + if (!ifs.is_open()) { + std::cerr << "[MicroBooNEBlockHandler] Cannot open file: " << filename << "\n"; + return {}; + } + + std::vector blocks; + Block current; + bool inBlock = false; + int binsRead = 0; + + std::string line; + while (std::getline(ifs, line)) { + + // Trim trailing whitespace / CR + while (!line.empty() && + (line.back() == ' ' || line.back() == '\t' || + line.back() == '\r')) + line.pop_back(); + + if (line.empty()) { + if (inBlock) { blocks.push_back(current); inBlock = false; } + continue; + } + + std::istringstream ss(line); + + if (!inBlock) { + // Header line + current = Block{}; + binsRead = 0; + ss >> current.blockIdx >> current.binCount >> current.varCount; + + size_t qpos = (size_t)ss.tellg(); + if ((int)ss.tellg() < 0) qpos = line.size(); + for (int v = 0; v < current.varCount; ++v) { + current.varName.push_back(nextQuoted(line, qpos)); + current.varUnit.push_back(nextQuoted(line, qpos)); + } + inBlock = true; + } + else { + // Bin definition line + BinDef bd{}; + std::string g, lo0s, hi0s; + ss >> g >> lo0s >> hi0s; + bd.globalIdx = std::stoi(g); + bd.var0 = { parseEdge(lo0s), parseEdge(hi0s) }; + + if (current.varCount == 2) { + std::string lo1s, hi1s; + ss >> lo1s >> hi1s; + bd.var1 = { parseEdge(lo1s), parseEdge(hi1s) }; + } + + current.bins.push_back(bd); + if (++binsRead == current.binCount) { + blocks.push_back(current); + inBlock = false; + } + } + } + if (inBlock) blocks.push_back(current); // no trailing blank line + return blocks; +} + +// ============================================================================= +// Label helpers +// ============================================================================= + +std::string MicroBooNEBlockHandler::latexToRoot(const std::string& s) +{ + std::string out; + out.reserve(s.size()); + for (char c : s) { + if (c == '$') continue; + else if (c == '\\') out += '#'; + else out += c; + } + return out; +} + +std::string MicroBooNEBlockHandler::axisLabel(const std::string& latexName, + const std::string& latexUnits) +{ + std::string name = latexToRoot(latexName); + std::string units = latexToRoot(latexUnits); + return units.empty() ? name : name + " (" + units + ")"; +} + +std::string MicroBooNEBlockHandler::edgeStr(double v) +{ + if (std::isinf(v)) return v > 0 ? "#infty" : "-#infty"; + std::ostringstream oss; + oss << std::setprecision(4) << std::noshowpoint << v; + return oss.str(); +} + +std::string MicroBooNEBlockHandler::rangeStr(double lo, double hi, + const std::string& rootName, + const std::string& rootUnits) +{ + std::ostringstream oss; + oss << rootName << " #in [" << edgeStr(lo) << ", " << edgeStr(hi) << ")"; + if (!rootUnits.empty()) oss << " " << rootUnits; + return oss.str(); +} + +// ============================================================================= +// Axis-edge builder +// ============================================================================= + +std::vector MicroBooNEBlockHandler::makeEdges(const std::vector& pairs) +{ + std::set s; + for (auto& p : pairs) { + if (std::isinf(p.lo) || std::isinf(p.hi)) continue; + s.insert(p.lo); + s.insert(p.hi); + } + return { s.begin(), s.end() }; +} + +// ============================================================================= +// Core builder -- populates fHists, fBinMap, fBlockBins, fBlockHists +// ============================================================================= + +void MicroBooNEBlockHandler::buildHistograms(const std::vector& blocks) +{ + int histCounter = 0; + + for (const auto& blk : blocks) { + + if (blk.varCount == 1) { + // ------------------------------------------------------------------------ + // 1D block -> single histogram + // ------------------------------------------------------------------------ + std::vector pairs; + for (auto& bd : blk.bins) pairs.push_back(bd.var0); + + std::vector edges = makeEdges(pairs); + if (edges.size() < 2) { + std::cerr << "[MicroBooNEBlockHandler] Block " << blk.blockIdx + << ": not enough finite edges, skipping.\n"; + continue; + } + + std::string hname = fNamePrefix + "_Block" + + std::to_string(blk.blockIdx); + std::string htitle = "Block " + std::to_string(blk.blockIdx) + + ": " + latexToRoot(blk.varName[0]); + + auto h = std::make_shared( + hname.c_str(), htitle.c_str(), + (int)(edges.size() - 1), edges.data()); + h->GetXaxis()->SetTitle( + axisLabel(blk.varName[0], blk.varUnit[0]).c_str()); + h->SetDirectory( nullptr ); + h->SetLineColor( kBlack ); + h->SetLineWidth( 1 ); + h->SetMarkerStyle( 1 ); + + int histIdx = (int)fHists.size(); + fHists.push_back(h); + fBlockHists[blk.blockIdx].push_back(histIdx); + + for (auto& bd : blk.bins) { + fBlockBins[blk.blockIdx].push_back(bd.globalIdx); // all bins + if (std::isinf(bd.var0.lo) || std::isinf(bd.var0.hi)) continue; + int rb = h->GetXaxis()->FindFixBin( + 0.5 * (bd.var0.lo + bd.var0.hi)); + double width = bd.var0.hi - bd.var0.lo; + fBinMap[bd.globalIdx] = { histIdx, rb, width }; + } + } + else if (blk.varCount == 2) { + // ------------------------------------------------------------------------ + // 2D block -> one histogram per unique var0 slice + // ------------------------------------------------------------------------ + + // Collect unique var0 slices in order of first appearance + std::vector sliceOrder; + std::map< std::pair, + std::vector > sliceMap; + + for (auto& bd : blk.bins) { + auto key = std::make_pair(bd.var0.lo, bd.var0.hi); + if (sliceMap.find(key) == sliceMap.end()) + sliceOrder.push_back(bd.var0); + sliceMap[key].push_back(bd.var1); + } + + std::string rootName0 = latexToRoot(blk.varName[0]); + std::string rootUnit0 = latexToRoot(blk.varUnit[0]); + std::string xAxisLabel = axisLabel(blk.varName[1], blk.varUnit[1]); + + // var0-slice key -> histogram index + std::map< std::pair, int > sliceHistIdx; + + for ( size_t se = 0; se < sliceOrder.size(); ++se ) { + auto& sliceEdge = sliceOrder.at( se ); + auto key = std::make_pair(sliceEdge.lo, sliceEdge.hi); + std::vector edges = makeEdges(sliceMap[key]); + if (edges.size() < 2) { + std::cerr << "[MicroBooNEBlockHandler] Block " << blk.blockIdx + << " slice [" << sliceEdge.lo << "," + << sliceEdge.hi << "): not enough finite edges, " + << "skipping.\n"; + continue; + } + + std::string hname = fNamePrefix + "_Block" + + std::to_string(blk.blockIdx) + + "_Slice" + std::to_string( se ); + std::string htitle = "Block " + std::to_string(blk.blockIdx) + + ": " + rangeStr(sliceEdge.lo, sliceEdge.hi, + rootName0, rootUnit0); + + auto h = std::make_shared( + hname.c_str(), htitle.c_str(), + (int)(edges.size() - 1), edges.data()); + h->GetXaxis()->SetTitle(xAxisLabel.c_str()); + h->SetDirectory( nullptr ); + h->SetLineColor( kBlack ); + h->SetLineWidth( 1 ); + h->SetMarkerStyle( 1 ); + + int histIdx = (int)fHists.size(); + sliceHistIdx[key] = histIdx; + fHists.push_back(h); + fBlockHists[blk.blockIdx].push_back(histIdx); + } + + // Populate fBinMap and fBlockBins. + // fBlockBins gets every bin in the block; fBinMap only gets finite ones. + for (auto& bd : blk.bins) { + fBlockBins[blk.blockIdx].push_back(bd.globalIdx); // all bins + if (std::isinf(bd.var1.lo) || std::isinf(bd.var1.hi)) continue; + auto key = std::make_pair(bd.var0.lo, bd.var0.hi); + auto it = sliceHistIdx.find(key); + if (it == sliceHistIdx.end()) continue; // slice skipped + + int histIdx = it->second; + const auto& h = fHists[histIdx]; + int rb = h->GetXaxis()->FindFixBin( + 0.5 * (bd.var1.lo + bd.var1.hi)); + + // Width = var0_width * var1_width. + // If a var0 edge is ±inf (the slice itself is unbounded), treat + // that dimension's width as 1 so the finite var1 width remains + // useful for normalisation. + double w0 = (std::isinf(bd.var0.lo) || std::isinf(bd.var0.hi)) + ? 1.0 : bd.var0.hi - bd.var0.lo; + double w1 = bd.var1.hi - bd.var1.lo; + + fBinMap[bd.globalIdx] = { histIdx, rb, w0 * w1 }; + } + } + + // Keep fBlockBins and fBlockHists entries in ascending order + auto& vb = fBlockBins[blk.blockIdx]; + std::sort(vb.begin(), vb.end()); + auto& vh = fBlockHists[blk.blockIdx]; + std::sort(vh.begin(), vh.end()); + } +} diff --git a/src/MicroBooNE/MicroBooNEBlockHandler.h b/src/MicroBooNE/MicroBooNEBlockHandler.h new file mode 100644 index 000000000..50fbd68da --- /dev/null +++ b/src/MicroBooNE/MicroBooNEBlockHandler.h @@ -0,0 +1,138 @@ +// MicroBooNEBlockHandler.h +// +// Parses a binning scheme definition file and exposes the result as four +// public data members. +// +// fHists -- std::vector< std::shared_ptr > +// One histogram per 1D block; one per var0 slice for 2D blocks. +// Bins with ±inf edges are omitted from the x-axis. +// Titles and axis labels use ROOT TLatex conventions. +// +// fBinMap -- std::unordered_map< int, BinEntry > +// Maps every GlobalBinIndex to the histogram and bin that holds +// it, plus the product of the bin widths. +// BinEntry { int histIdx, // zero-based index into hists +// int rootBin, // one-based ROOT bin number +// double width } // product of var widths (finite dims) +// Infinite-edge bins are omitted. +// +// fBlockBins -- std::unordered_map< int, std::vector > +// Maps block index -> sorted list of ALL GlobalBinIndices in +// that block (including infinite-edge bins). +// +// fBlockHists -- std::unordered_map< int, std::vector > +// Maps block index -> sorted list of zero-based indices into +// hists for all slice histograms belonging to that block. + +#ifndef MICROBOONE_BLOCKHANDLER_H_SEEN +#define MICROBOONE_BLOCKHANDLER_H_SEEN + +#include +#include +#include +#include + +#include "TH1D.h" + +// ============================================================================= +// Internal data structures +// ============================================================================= + +struct BinEdges1D { double lo, hi; }; + +struct BinDef { + int globalIdx; + BinEdges1D var0; // always present + BinEdges1D var1; // only for 2D blocks; default-initialised otherwise +}; + +struct Block { + int blockIdx = 0; + int binCount = 0; + int varCount = 0; + std::vector varName; // raw LaTeX + std::vector varUnit; // raw LaTeX + std::vector bins; +}; + +// ============================================================================= +// MicroBooNEBlockHandler +// ============================================================================= + +class MicroBooNEBlockHandler { +public: + // --------------------------------------------------------------------------- + // Public types + // --------------------------------------------------------------------------- + + struct BinEntry { + int histIdx; // zero-based index into hists + int rootBin; // one-based ROOT bin number within that TH1D + double width; // product of finite bin widths from the input table + }; + + using BinMap = std::unordered_map< int, BinEntry >; + using BlockBins = std::unordered_map< int, std::vector >; + using BlockHists = std::unordered_map< int, std::vector >; + + // --------------------------------------------------------------------------- + // Public data members + // --------------------------------------------------------------------------- + + std::vector< std::shared_ptr > fHists; + BinMap fBinMap; + BlockBins fBlockBins; + BlockHists fBlockHists; + + // --------------------------------------------------------------------------- + // Constructor + // --------------------------------------------------------------------------- + + explicit MicroBooNEBlockHandler( const std::string& hist_name_prefix, + const std::string& filename); + + // --------------------------------------------------------------------------- + // Diagnostics + // --------------------------------------------------------------------------- + + void printSummary(size_t nShow = 10) const; + +private: + + // Prefix for naming the generated histograms + std::string fNamePrefix; + + // --------------------------------------------------------------------------- + // Parsing helpers + // --------------------------------------------------------------------------- + + static std::string nextQuoted(const std::string& line, size_t& pos); + static double parseEdge(const std::string& tok); + static std::vector parseFile(const std::string& filename); + + // --------------------------------------------------------------------------- + // Label helpers + // --------------------------------------------------------------------------- + + static std::string latexToRoot(const std::string& s); + static std::string axisLabel(const std::string& latexName, + const std::string& latexUnits); + static std::string edgeStr(double v); + static std::string rangeStr(double lo, double hi, + const std::string& rootName, + const std::string& rootUnits); + + // --------------------------------------------------------------------------- + // Axis-edge builder + // --------------------------------------------------------------------------- + + static std::vector makeEdges(const std::vector& pairs); + + // --------------------------------------------------------------------------- + // Core builder -- populates hists, binMap, blockBins, blockHists + // --------------------------------------------------------------------------- + + void buildHistograms(const std::vector& blocks); +}; + +#endif // MICROBOONEBLOCKHANDLER_H_SEEN diff --git a/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.cxx b/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.cxx new file mode 100644 index 000000000..83b0d9cc9 --- /dev/null +++ b/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.cxx @@ -0,0 +1,754 @@ +// Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret + +/******************************************************************************* +* This file is part of NUISANCE. +* +* NUISANCE is free software: you can redistribute it and/or modify +* it under the terms of the GNU General Public License as published by +* the Free Software Foundation, either version 3 of the License, or +* (at your option) any later version. +* +* NUISANCE is distributed in the hope that it will be useful, +* but WITHOUT ANY WARRANTY; without even the implied warranty of +* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +* GNU General Public License for more details. +* +* You should have received a copy of the GNU General Public License +* along with NUISANCE. If not, see . +*******************************************************************************/ + +#include + +#include "InteractionModes.h" +#include "MicroBooNEBlockHandler.h" +#include "MicroBooNE_CC1MuNp_XSec_2025_nu.h" +#include "MicroBooNE_SignalDef.h" +#include "TMatrixD.h" + +// Anonymous namespace +namespace { + constexpr int MASS_NUMBER_40AR = 40; + constexpr int PROTON = 2212; + constexpr int MU_MINUS = 13; + + constexpr double TARGET_MASS = 37.215526; // 40Ar, GeV + constexpr double NEUTRON_MASS = 0.93956541; // GeV + constexpr double PROTON_MASS = 0.93827208; // GeV + constexpr double MUON_MASS = 0.10565837; // GeV + constexpr double BINDING_ENERGY = 0.02478; // 40Ar, GeV + + void compute_stvs( const TVector3& p3mu, const TVector3& p3p, + double& delta_pT, double& delta_phiT, double& delta_alphaT, + double& delta_pL, double& pn, double& delta_pTx, double& delta_pTy ) + { + delta_pT = (p3mu + p3p).Perp(); + + delta_phiT = std::acos( (-p3mu.X()*p3p.X() - p3mu.Y()*p3p.Y()) + / (p3mu.XYvector().Mod() * p3p.XYvector().Mod()) ); + + TVector2 delta_pT_vec = (p3mu + p3p).XYvector(); + delta_alphaT = std::acos( (-p3mu.X()*delta_pT_vec.X() + - p3mu.Y()*delta_pT_vec.Y()) + / (p3mu.XYvector().Mod() * delta_pT_vec.Mod()) ); + + double Emu = std::sqrt(std::pow(MUON_MASS, 2) + p3mu.Mag2()); + double Ep = std::sqrt(std::pow(PROTON_MASS, 2) + p3p.Mag2()); + double R = TARGET_MASS + p3mu.Z() + p3p.Z() - Emu - Ep; + + // Estimated mass of the final remnant nucleus (CCQE assumption) + double mf = TARGET_MASS - NEUTRON_MASS + BINDING_ENERGY; + delta_pL = 0.5*R - (std::pow(mf, 2) + std::pow(delta_pT, 2)) / (2.*R); + + pn = std::sqrt( std::pow(delta_pL, 2) + std::pow(delta_pT, 2) ); + + // Components of the 2D delta_pT vector (see arXiv:1910.08658) + + // We assume that the neutrino travels along the +z direction (also done + // in the other expressions above) + TVector3 zUnit( 0., 0., 1. ); + + // Defines the x direction for the components of the delta_pT vector + TVector2 xTUnit = zUnit.Cross( p3mu ).XYvector().Unit(); + + delta_pTx = xTUnit.X()*delta_pT_vec.X() + xTUnit.Y()*delta_pT_vec.Y(); + + // Defines the y direction for the components of the delta_T vector + TVector2 yTUnit = ( -p3mu ).XYvector().Unit(); + + delta_pTy = yTUnit.X()*delta_pT_vec.X() + yTUnit.Y()*delta_pT_vec.Y(); + } + + double compute_stvs( FitEvent* ev, const std::string& var ) { + TVector3 p3mu = ev->GetHMFSParticle( MU_MINUS )->fP.Vect(); + TVector3 p3p = ev->GetHMFSParticle( PROTON )->fP.Vect(); + + // Convert to GeV + p3mu *= 1e-3; + p3p *= 1e-3; + + double delta_pT, delta_phiT, delta_alphaT, delta_pL; + double pn, delta_pTx, delta_pTy; + + compute_stvs( p3mu, p3p, delta_pT, delta_phiT, delta_alphaT, + delta_pL, pn, delta_pTx, delta_pTy ); + + if ( var == "delta_pT" ) return delta_pT; + else if ( var == "delta_phiT" ) return delta_phiT; + else if ( var == "delta_alphaT" ) return delta_alphaT; + else if ( var == "delta_pL" ) return delta_pL; + else if ( var == "pn" ) return pn; + else if ( var == "delta_pTx" ) return delta_pTx; + else if ( var == "delta_pTy" ) return delta_pTy; + return 0.; + } + + // Loads a matrix from a text file following the format used + // in the data release for this MicroBooNE measurement + TMatrixD load_matrix( const std::string& input_file_name ) { + + // Get the table of matrix element values + std::ifstream matrix_table_file( input_file_name ); + + // Peek at the file contents to decide whether we're working with + // a matrix or a column vector + std::string dummy; + matrix_table_file >> dummy >> dummy >> dummy; + bool is_matrix = ( dummy == "numYbins" ); + + // Return to the beginning of the file for parsing + matrix_table_file.seekg( 0 ); + + // Get the matrix or vector dimensions from the header line(s) + int num_x_bins, num_y_bins; + + matrix_table_file >> dummy >> num_x_bins; + if ( is_matrix ) { + matrix_table_file >> dummy >> num_y_bins; + + // Skip the next header line which contains the data column names + std::getline( matrix_table_file, dummy ); + } + else { + num_y_bins = 1; + } + + // Create a TMatrixD with the correct dimensions + TMatrixD matrix( num_x_bins, num_y_bins ); + + // Parse its contents from the remaining lines + std::string line; + while ( std::getline(matrix_table_file, line) ) { + int bin1, bin2; + double element; + + std::stringstream temp_ss( line ); + temp_ss >> bin1; + if ( is_matrix ) { + temp_ss >> bin2; + } + else { + bin2 = 0; + } + temp_ss >> element; + + if ( bin1 < num_x_bins && bin2 < num_y_bins ) { + matrix( bin1, bin2 ) = element; + } + } + + return matrix; + } + + // Helper function that converts a TMatrixD into the TMatrixDSym* + // needed to initialize some class members inherited from Measurement1D. + // Assumes that the input is a square matrix (TODO: add error handling). + TMatrixDSym* to_symmetric_matrix( const TMatrixD& mat ) { + int num_rows = mat.GetNrows(); + TMatrixDSym* sym = new TMatrixDSym( num_rows ); + for ( int a = 0; a < num_rows; ++a ) { + for ( int b = 0; b < num_rows; ++b ) { + sym->operator()( a, b ) = mat( a, b ); + } + } + return sym; + } + + // Helper function that creates a TH1D from a TMatrixD. Currently + // assumes that the input matrix has a single column (TODO: Add + // error handling) + TH1D* to_histogram( const TMatrixD& vec ) { + int num_rows = vec.GetNrows(); + auto* hist = new TH1D( "vec_hist", "", num_rows, 0., num_rows ); + for ( int a = 0; a < num_rows; ++a ) { + double value = vec( a, 0 ); + hist->SetBinContent( a + 1, value ); // ROOT bin indices are one-based + } + return hist; + } + +} + +MicroBooNE_CC1MuNp_XSec_2025_nu + ::MicroBooNE_CC1MuNp_XSec_2025_nu( nuiskey samplekey ) +{ + fSettings = LoadSampleSettings( samplekey ); + std::string name = fSettings.GetS( "name" ); + + // The main histograms use the bin number on the x-axis + fSettings.SetXTitle( "bin number" ); + + // They also report total cross sections in each bin (not differential + // cross sections divided by the bin width) + fSettings.SetYTitle("#sigma (cm^{2}/^{40}Ar)"); + + // Sample overview --------------------------------------------------- + std::string descrip = name + " sample.\n" \ + "Target: Ar\n" \ + "Flux: BNB FHC numu\n" \ + "Signal: CC1MuNp\n"; + + fSettings.SetDescription( descrip ); + fSettings.SetTitle( name ); + fSettings.SetAllowedTypes( "FULL", "FIX/FULL" ); + fSettings.SetEnuRange( 0.0, 6.8 ); + fSettings.DefineAllowedTargets( "Ar" ); + fSettings.DefineAllowedSpecies( "numu" ); + FinaliseSampleSettings(); + + // Scale factor for the flux-averaged total cross section + // (10^{-38} cm^2 / Ar) in each bin + fScaleFactor = GetEventHistogram()->Integral( "width" ) + * MASS_NUMBER_40AR / fNEvents / TotalIntegratedFlux(); + + // Get bin definitions + this->LoadBinDefinitions(); + + std::string file_name_AC( FitPar::GetDataBase() + + "/MicroBooNE/CC1MuNp/2025/mat_table_add_smear.txt" ); + + // Load the additional smearing matrix + TMatrixD A_C = load_matrix( file_name_AC ); + fAddSmear = std::make_shared< TMatrixD >( A_C ); + + // Load the measured data points + std::string file_name_data( FitPar::GetDataBase() + + "/MicroBooNE/CC1MuNp/2025/vec_table_unfolded_signal.txt" ); + TMatrixD temp_data_mat = load_matrix( file_name_data ); + fDataHist = to_histogram( temp_data_mat ); + + fDataHist->SetNameTitle( (fSettings.GetName() + "_data").c_str(), + fSettings.GetFullTitles().c_str() ); + + // Also retrieve the total covariance matrix for the measurement + std::string cov_file_name( FitPar::GetDataBase() + + "/MicroBooNE/CC1MuNp/2025/mat_table_cov_total.txt" ); + auto temp_cov_matrix = load_matrix( cov_file_name ); + fFullCovar = to_symmetric_matrix( temp_cov_matrix ); + + // Now invert the covariance matrix and store the result + temp_cov_matrix.Invert(); + covar = to_symmetric_matrix( temp_cov_matrix ); + + //fDecomp = StatUtils::GetDecomp( fFullCovar ); + TDecompChol chol( *fFullCovar ); + chol.Decompose(); + fDecomp = new TMatrixDSym( fFullCovar->GetNrows(), + chol.GetU().GetMatrixArray(), "" ); + + // Push the diagonals of fFullCovar onto the data histogram + StatUtils::SetDataErrorFromCov( fDataHist, fFullCovar, 1.0, false ); + + // Setup fMCHist from data + fMCHist = dynamic_cast< TH1D* >( fDataHist->Clone() ); + fMCHist->SetNameTitle( (fSettings.GetName() + "_MC").c_str(), + fSettings.GetFullTitles().c_str() ); + fMCHist->Reset(); + + fMCStat = dynamic_cast< TH1D* >( fMCHist->Clone() ); + fMCStat->Reset(); + + // Since we're using a 1D histogram with bin number along the x-axis, it + // doesn't make sense to subdivide the bins. Rather than doing that + // automatically, I just copy the original data histogram binning here. Thus, + // MCFine ends up using the same bins as regular MC. + fMCFine = dynamic_cast< TH1D* >( fMCHist->Clone() ); + fMCFine->SetNameTitle( (fSettings.GetName() + "_MC_FINE").c_str(), + fSettings.GetFullTitles().c_str() ); + fMCFine->Reset(); + + // Set up the MC modes histogram + fMCHist_Modes = new TrueModeStack( (fSettings.GetName() + "_MODES").c_str(), + "True Channels", fMCHist ); + fMCHist_Modes->SetTitleX( fDataHist->GetXaxis()->GetTitle() ); + fMCHist_Modes->SetTitleY( fDataHist->GetYaxis()->GetTitle() ); + this->SetAutoProcessTH1( fMCHist_Modes, kCMD_Reset, kCMD_Norm, kCMD_Write ); + + //this->FinaliseMeasurement(); +} + + +bool MicroBooNE_CC1MuNp_XSec_2025_nu::isSignal( FitEvent* event ) { + return SignalDef::MicroBooNE::isCC1MuNpFor2025Analysis( event, EnuMin, EnuMax ); +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::FillEventVariables( FitEvent* event ) { + + // Clear out the vector of passing bins, which may have already been filled + // for the previous event + fPassingBins.clear(); + + if ( event->NumFSParticle(MU_MINUS) == 0 ) return; + if ( event->NumFSParticle(PROTON) == 0 ) return; + + // Loop over each of the bin definitions. Keep track of the bins that + // pass all cuts (and should thus be filled in this event) + for ( size_t b = 0u; b < fBinDefinitions.size(); ++b ) { + + // Start out by assuming that the event passes all cuts + bool passed_cuts = true; + + // Apply all cuts + const auto& my_cuts = fBinDefinitions.at( b ); + for ( const auto& cut : my_cuts ) { + passed_cuts &= cut.evaluate( event ); + } + + // If all cuts were passed, add this bin to the vector of indices for bins + // that should be filled + if ( passed_cuts ) fPassingBins.push_back( b ); + + } // loop over bins + +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::LoadBinDefinitions() { + std::string binning_file_name( FitPar::GetDataBase() + + "/MicroBooNE/CC1MuNp/2025/bin_defs.txt" ); + + std::ifstream bin_file( binning_file_name ); + std::string dummy_str; + int bin_type, dummy_int; + size_t num_true_bins; + + // TODO: add I/O error handling here + // Skip the output TDirectoryFile name and the input TTree name + bin_file >> dummy_str >> dummy_str >> num_true_bins; + + const std::string delimiter( "&&" ); + for ( size_t tb = 0u; tb < num_true_bins; ++tb ) { + + // Skip the true bin type and block index + bin_file >> bin_type >> dummy_int; + + // Use two calls to std::getline using a double quote delimiter + // in order to get the contents of the next double-quoted string + std::string bin_def; + std::getline( bin_file, bin_def, '\"' ); + std::getline( bin_file, bin_def, '\"' ); + + // Skip bins of type == 1 (background true bins) + if ( bin_type == 1 ) continue; + + // Skip the text before the first "&&" (here we assume that it is a simple + // bool for the signal definition) + std::string all_cuts = bin_def.substr( + bin_def.find(delimiter) + delimiter.length() ); + + // Create an empty vector of MyCut objects to start defining the new bin + fBinDefinitions.emplace_back(); + + // Loop over the rest of the cuts and check each one + size_t pos = 0u; + do { + // Advance to the next individual cut, removing it from the temporary + // copy of the list of cuts + pos = all_cuts.find( delimiter ); + std::string cut = all_cuts.substr( 0, pos ); + all_cuts.erase( 0, pos + delimiter.length() ); + + // Parse the cut + std::string var_name; + std::string comp_op; + double cut_val; + std::stringstream cut_ss( cut ); + + cut_ss >> var_name >> comp_op >> cut_val; + + // Interpret the variable for this cut and set up a function + // object that will calculate it from the input FitEvent + std::function< double(FitEvent*) > getter; + + if ( var_name == "mc_p3_lead_p.Mag()" ) { + getter = [=]( FitEvent* ev ) -> double { + return ev->GetHMFSParticle( PROTON )->fP.Vect().Mag() / 1e3; // GeV + }; + } + else if ( var_name == "mc_p3_lead_p.CosTheta()" ) { + getter = [=]( FitEvent* ev ) -> double { + return ev->GetHMFSParticle( PROTON )->fP.Vect().CosTheta(); + }; + } + else if ( var_name == "mc_p3_mu.Mag()" ) { + getter = [=]( FitEvent* ev ) -> double { + return ev->GetHMFSParticle( MU_MINUS )->fP.Vect().Mag() / 1e3; // GeV + }; + } + else if ( var_name == "mc_p3_mu.CosTheta()" ) { + getter = [=]( FitEvent* ev ) -> double { + return ev->GetHMFSParticle( MU_MINUS )->fP.Vect().CosTheta(); + }; + } + else if ( var_name == "mc_delta_pT" ) { + getter = [=]( FitEvent* ev ) -> double { + return compute_stvs( ev, "delta_pT" ); + }; + } + else if ( var_name == "mc_delta_pTx" ) { + getter = [=]( FitEvent* ev ) -> double { + return compute_stvs( ev, "delta_pTx" ); + }; + } + else if ( var_name == "mc_delta_pTy" ) { + getter = [=]( FitEvent* ev ) -> double { + return compute_stvs( ev, "delta_pTy" ); + }; + } + else if ( var_name == "mc_delta_alphaT" ) { + getter = [=]( FitEvent* ev ) -> double { + return compute_stvs( ev, "delta_alphaT" ) * 180. / M_PI; + }; + } + else if ( var_name == "mc_pn" ) { + getter = [=]( FitEvent* ev ) -> double { + return compute_stvs( ev, "pn" ); + }; + } + else if ( var_name == "mc_theta_mu_p" ) { + getter = [=]( FitEvent* ev ) -> double { + const TVector3& p3mu = ev->GetHMFSParticle( MU_MINUS )->fP.Vect(); + const TVector3& p3p = ev->GetHMFSParticle( PROTON )->fP.Vect(); + double theta_mup = std::acos( p3mu.Dot(p3p) / p3mu.Mag() + / p3p.Mag() ) * 180. / M_PI; + return theta_mup; + }; + } + else NUIS_ABORT( "Unrecognized cut variable " + var_name ); + + // Test the cut based on the appropriate comparison operator + std::function< bool(double) > tester; + if ( comp_op == ">=" ) { + tester = [cut_val]( double x ) -> bool { + return x >= cut_val; + }; + } + else if ( comp_op == "<" ) { + tester = [cut_val]( double x ) -> bool { + return x < cut_val; + }; + } + else NUIS_ABORT( "Unrecognized comparison operator " + comp_op ); + + // Add the finished cut to the definition for the current bin + fBinDefinitions.back().emplace_back( getter, tester ); + + } while ( pos != std::string::npos ); + + } // loop over true bins + +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::FillHistograms() { + + if ( !Signal ) return; + + // The histograms have bin number as the x-axis variable, so just fill them + // using the bin index of each bin that passed all cuts + for ( const auto& bin : fPassingBins ) { + NUIS_LOG(DEB, "Fill MCHist: " << bin << ", " << Weight); + + fMCHist->Fill( bin, Weight ); + fMCStat->Fill( bin, 1.0 ); + if ( fMCHist_Modes ) fMCHist_Modes->Fill( Mode, bin, Weight ); + + fMCFine->Fill( bin, Weight ); + if ( fMCFine_Modes ) fMCFine_Modes->Fill( Mode, bin, Weight ); + } + +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::ConvertEventRates() { + // Do the standard conversion + Measurement1D::ConvertEventRates(); + + // Clone the binning from the MC histogram + fMCHistWithAC.reset( + dynamic_cast< TH1D* >( fMCHist->Clone() ) + ); + fMCHistWithAC->SetNameTitle( (fSettings.GetName() + "_MC_with_AC").c_str(), + fSettings.GetFullTitles().c_str() ); + fMCHistWithAC->Reset(); + fMCHistWithAC->SetDirectory( nullptr ); + + // Build a column vector using the predicted cross sections + int num_bins = fMCHist->GetNbinsX(); + TMatrixD pred( num_bins, 1 ); + for ( int b = 0; b < num_bins; ++b ) { + pred( b, 0 ) = fMCHist->GetBinContent( b + 1 ); + } + + // Apply the additional smearing matrix A_C to create a new prediction + TMatrixD new_pred( *fAddSmear, TMatrixD::kMult, pred ); + + // Store it in our clone of the original MC prediction histogram + for ( int b = 0; b < num_bins; ++b ) { + double xsec = new_pred( b, 0 ); + fMCHistWithAC->SetBinContent( b + 1, xsec ); + } + + // Prepare the slice histograms now that everything else is ready + this->PrepareSlices(); +} + +double MicroBooNE_CC1MuNp_XSec_2025_nu::GetLikelihood() { + + if ( fNoData || !fDataHist ) return 0.; + + // Apply Masking to MC if Required. + if ( fIsMask and fMaskHist ) { + NUIS_ERR(FTL, "Bin masks not yet supported by" + " the MicroBooNE_CC1MuNp_XSec_2025_nu sample" ); + //PlotUtils::MaskBins(fMCHist, fMaskHist); + } + + // Likelihood Calculation + double stat = 0.; + if ( fIsChi2 ) { + if ( fIsNS ) { + NUIS_ERR(FTL, "Norm-shape covariance not yet supported by" + " the MicroBooNE_CC1MuNp_XSec_2025_nu sample" ); + } + stat = StatUtils::GetChi2FromCov( fDataHist, fMCHistWithAC.get(), + covar, NULL, 1.0, 1.0, fIsWriting ? fResidualHist : NULL ); + } + + fLikelihood = stat; + + return stat; +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::Write( std::string drawOpt ) { + // Write the standard information + Measurement1D::Write( drawOpt ); + + // To start extra chi-squared calculations, create a mask that excludes + // everything. Note that bins are kept if the mask entry is zero, and + // discarded otherwise. + int num_bins = fDataHist->GetNbinsX(); + TH1I mask_all( "mask_all", "mask all", num_bins, 0., num_bins ); + mask_all.SetDirectory( nullptr ); + for ( int b = 1; b <= num_bins; ++b ) mask_all.SetBinContent( b, 1 ); + + // Compute chi-squared scores for each block of bins separately using + // masks. Store the results in TNamed objects in the output + // file. + std::shared_ptr< TH1I > block_mask; + for ( const auto& [ block_idx, bin_vec ] : fBlockHandler->fBlockBins ) { + // Clone the exclude-everything mask and zero out bins that belong + // to the current block (thus including them) + block_mask.reset( + dynamic_cast< TH1I* >( mask_all.Clone("block_mask") ) + ); + + // Global bin indices are zero-based, while the ROOT histogram bins + // are one-based, so we correct for this here + for ( int b : bin_vec ) block_mask->SetBinContent( b + 1, 0 ); + + // Compute the chi-squared statistic for the current block using the mask + double chi2 = StatUtils::GetChi2FromCov( fDataHist, fMCHistWithAC.get(), + covar, block_mask.get(), 1.0, 1.0, nullptr ); + + // Create a TNamed object to store the result. We use a TNamed so that we + // can store the chi^2 value and number of bins together for convenient + // viewing + std::string param_name = fSettings.GetName() + "_Block" + + std::to_string( block_idx ) + "_Chi2"; + std::string chi2_per_bin_str = std::to_string( chi2 ) + + " / " + std::to_string( bin_vec.size() ); + TNamed chi2_param( param_name.c_str(), chi2_per_bin_str.c_str() ); + + chi2_param.Write(); + } + + // Now we follow a similar procedure to compute and store chi-squared values + // for each individual slice histogram in multi-slice blocks + std::shared_ptr< TH1I > slice_mask; + int num_slices = fBlockHandler->fHists.size(); + for ( int s = 0u; s < num_slices; ++s ) { + + // Before doing anything else, write the histograms themselves for the + // current slice to the output file + fBlockHandler->fHists.at( s )->Write(); // data slice histogram + fMCHist_Slices.at( s )->Write(); // total MC slice histogram + for ( int m : fMCHist_Modes->fmodes ) { + // MC slice histogram for mode m + fMCModeHists_Slices.at( m ).at( s )->Write(); + } + + // Find the block and slice number within the block for the current slice + // histogram + int block_idx = -1; // dummy value + int slice_idx = -1; // dummy value + for ( const auto& [ bl, hist_idx_vec ] : fBlockHandler->fBlockHists ) { + for ( size_t h = 0u; h < hist_idx_vec.size(); ++h ) { + int h_idx = hist_idx_vec.at( h ); + if ( h_idx == s ) { + block_idx = bl; + slice_idx = h; + } + } + } + + // NOTE: This continue statement has been removed since some 1D blocks + // include underflow or overflow bins that don't show up in their + // slice histogram. In some cases, the user may want to see both + // values, so it is easiest just to output all the information. + // + // OLD: If this is a 1D block, then there is only a single slice, and we + // have already computed a suitable chi^2 score in the block-by-block + // results above. We can therefore skip to the next slice. + //if ( fBlockHandler->fBlockHists.size() <= 1u ) continue; + + // Clone the exclude-everything mask and zero out bins that belong + // to the current slice (thus including them) + slice_mask.reset( + dynamic_cast< TH1I* >( mask_all.Clone("slice_mask") ) + ); + + int num_unmasked_bins = 0; + for ( const auto& [ mk, mv ] : fBlockHandler->fBinMap ) { + // Unmask only bins that belong to the current slice histogram + int hist_index = mv.histIdx; + if ( hist_index != s ) continue; + // Do the unmasking, taking into account the one-based indexing + // of the ROOT histograms and the zero-based bin indices from the table + // of block definitions + int global_bin = mk; + slice_mask->SetBinContent( global_bin + 1, 0 ); + ++num_unmasked_bins; + } + + // Compute the chi-squared statistic for the current block using the mask + double chi2 = StatUtils::GetChi2FromCov( fDataHist, fMCHistWithAC.get(), + covar, slice_mask.get(), 1.0, 1.0, nullptr ); + + // Create a TNamed object to store the result. We use a TNamed so that we + // can store the chi^2 value and number of bins together for convenient + // viewing + std::string param_name = fSettings.GetName() + "_Block" + + std::to_string( block_idx ) + "_Slice" + + std::to_string( slice_idx ) + "_Chi2"; + std::string chi2_per_bin_str = std::to_string( chi2 ) + + " / " + std::to_string( num_unmasked_bins ); + TNamed chi2_param( param_name.c_str(), chi2_per_bin_str.c_str() ); + + chi2_param.Write(); + } +} + +void MicroBooNE_CC1MuNp_XSec_2025_nu::PrepareSlices() { + // Load the definitions of the blocks of bins + std::string block_file_name( FitPar::GetDataBase() + + "/MicroBooNE/CC1MuNp/2025/bin_blocks.txt" ); + + fBlockHandler = std::make_shared< MicroBooNEBlockHandler >( + fSettings.GetName(), block_file_name ); + + // Clone the data histograms owned by the block handler to create + // corresponding MC histograms + for ( auto& hist : fBlockHandler->fHists ) { + // Attach the MC suffix to the clone's name, then attach the data suffix + // to the original + auto mc_hist_name = hist->GetName() + std::string( "_MC" ); + hist->SetName( (hist->GetName() + std::string( "_data" )).c_str() ); + auto* temp_mc_hist = dynamic_cast< TH1D* >( + hist->Clone( mc_hist_name.c_str() ) + ); + temp_mc_hist->SetDirectory( nullptr ); + temp_mc_hist->Reset(); + + temp_mc_hist->SetLineColor( kRed ); + temp_mc_hist->SetLineStyle( 1 ); + temp_mc_hist->SetLineWidth( 1 ); + + temp_mc_hist->SetFillColor( 0 ); + temp_mc_hist->SetFillStyle( 1001 ); + + fMCHist_Slices.emplace_back( temp_mc_hist ); + + // Make MC slice histograms for individual scattering modes + for ( int m : fMCHist_Modes->fmodes ) { + // Convert the interaction mode integer into a string label + auto mode = static_cast< InputHandler::InteractionModes >( m ); + std::ostringstream oss; + oss << '_' << mode; + auto mode_hist_name = temp_mc_hist->GetName() + oss.str(); + // Set up the slice histogram for this mode + auto* temp_mode_hist = dynamic_cast< TH1D* >( + temp_mc_hist->Clone( mode_hist_name.c_str() ) + ); + temp_mode_hist->SetDirectory( nullptr ); + temp_mode_hist->Reset(); + fMCModeHists_Slices[ m ].emplace_back( temp_mode_hist ); + } + + } + + // Now that all slice histograms have been created, populate them with + // corresponding entries from the full measurement histogram (that is + // organized in terms of global bin number). + // NOTE: Bins with one or more infinite edges are automatically skipped + // by the block handler, so we don't have to worry about bins that have + // no match in the slices + for ( const auto& [mk, mv] : fBlockHandler->fBinMap ) { + // The ROOT histogram used to store the global bin contents has one-based + // indices, but the input table used to define the blocks is zero-based + int global_bin = mk + 1; + + // Zero-based index of the slice histogram to which this global bin belongs + int hist_idx = mv.histIdx; // position in the vector of slices + + // One-based bin index to be populated in the target histogram + int local_bin = mv.rootBin; + + // Product of finite bin widths for this bin (used to convert to a + // differential cross section) + double widths = mv.width; + + // Retrieve the values of interest from the global histograms, dividing + // by the bin width(s) to obtain a differential xsec each time + double data_val = fDataHist->GetBinContent( global_bin ) / widths; + double data_err = fDataHist->GetBinError( global_bin ) / widths; + double mc_val = fMCHist->GetBinContent( global_bin ) / widths; + std::map< int, double > mode_vals; + for ( int m : fMCHist_Modes->fmodes ) { + int mode_idx = fMCHist_Modes->ConvertModeToIndex( m ); + auto* mode_hist = fMCHist_Modes->GetHist( mode_idx ); + double value = mode_hist->GetBinContent( global_bin ); + mode_vals[ m ] = value / widths; + } + + // Set the bin contents in the target slice histograms + auto& data_hist = fBlockHandler->fHists.at( hist_idx ); + data_hist->SetBinContent( local_bin, data_val ); + data_hist->SetBinError( local_bin, data_err ); + + auto& mc_hist = fMCHist_Slices.at( hist_idx ); + mc_hist->SetBinContent( local_bin, mc_val ); + + for ( const auto& [ mode, val ] : mode_vals ) { + auto& mode_hist = fMCModeHists_Slices.at( mode ).at( hist_idx ); + mode_hist->SetBinContent( local_bin, val ); + } + + } +} diff --git a/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.h b/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.h new file mode 100644 index 000000000..17f34f90d --- /dev/null +++ b/src/MicroBooNE/MicroBooNE_CC1MuNp_XSec_2025_nu.h @@ -0,0 +1,109 @@ +// Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret + +/******************************************************************************* +* This file is part of NUISANCE. +* +* NUISANCE is free software: you can redistribute it and/or modify +* it under the terms of the GNU General Public License as published by +* the Free Software Foundation, either version 3 of the License, or +* (at your option) any later version. +* +* NUISANCE is distributed in the hope that it will be useful, +* but WITHOUT ANY WARRANTY; without even the implied warranty of +* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +* GNU General Public License for more details. +* +* You should have received a copy of the GNU General Public License +* along with NUISANCE. If not, see . +*******************************************************************************/ +#ifndef MICROBOONE_CC1MUNP_2025_NU_H_SEEN +#define MICROBOONE_CC1MUNP_2025_NU_H_SEEN + +#include +#include +#include + +#include "Measurement1D.h" + +class MicroBooNEBlockHandler; + +class TH2D; + +struct MyCut { + MyCut( std::function< double(FitEvent*) > getter, + std::function< bool(double) > tester ) : getter_( getter ), + tester_( tester ) {} + + std::function< double(FitEvent*) > getter_; + std::function< bool(double) > tester_; + + inline bool evaluate( FitEvent* event ) const { + return tester_( getter_(event) ); + } +}; + +/// Implements comparisons with the MicroBooNE measurement described +/// in Phys. Rev. D 112, 112004 (2025) https://doi.org/10.1103/8v2y-l89l +class MicroBooNE_CC1MuNp_XSec_2025_nu : public Measurement1D { + +public: + + /// Basic Constructor. + MicroBooNE_CC1MuNp_XSec_2025_nu( nuiskey samplekey ); + + /// Virtual Destructor + inline virtual ~MicroBooNE_CC1MuNp_XSec_2025_nu() { + fResidualHist = NULL; + fChi2LessBinHist = NULL; + }; + + /// Apply signal definition + bool isSignal( FitEvent* nvect ) override; + + /// Fill kinematic distributions + void FillEventVariables( FitEvent* customEvent ) override; + + virtual void FillHistograms() override; + + /// Adjust the standard event rate conversion to include + /// application of the additional smearing matrix A_C + void ConvertEventRates() override; + + /// Work around some hard-coded assumptions in Measurement1D::GetLikelihood() + double GetLikelihood() override; + + void Write( std::string drawOpt ) override; + +private: + + // Sets up definitions for each bin based on an input file stored in the + // data/ area + void LoadBinDefinitions(); + + // Sets up histograms that represent slices of the full measurement + void PrepareSlices(); + + // Each bin is defined as a series of cuts that are applied to a FitEvent to + // determine whether it belongs + std::vector< std::vector< MyCut > > fBinDefinitions; + + // Temporary storage for the index of each bin that passed all cuts for any + // particular event + std::vector< size_t > fPassingBins; + + // Additional smearing matrix A_C used to transform the input MC predictions + // when computing a chi-squared score + std::shared_ptr< TMatrixD > fAddSmear; + + // Copy of MC histogram multiplied by the additional smearing matrix A_C + std::shared_ptr< TH1D > fMCHistWithAC; + + // Manages slice histograms for the data + std::shared_ptr< MicroBooNEBlockHandler > fBlockHandler; + + // Slice histograms for the MC + std::vector< std::shared_ptr< TH1D > > fMCHist_Slices; + std::map< int, std::vector< std::shared_ptr< TH1D > > > fMCModeHists_Slices; +}; + +#endif diff --git a/src/MicroBooNE/MicroBooNE_SignalDef.cxx b/src/MicroBooNE/MicroBooNE_SignalDef.cxx index dcc06af9c..7069cbfea 100644 --- a/src/MicroBooNE/MicroBooNE_SignalDef.cxx +++ b/src/MicroBooNE/MicroBooNE_SignalDef.cxx @@ -17,6 +17,8 @@ * along with NUISANCE. If not, see . *******************************************************************************/ +#include + #include "MicroBooNE_SignalDef.h" #include "FitUtils.h" @@ -218,6 +220,89 @@ bool isNCpi0(FitEvent* event) { //----------------------------------------// +// Helper function that returns true if a given PDG code represents a meson or +// antimeson. Otherwise returns false. Based on points 10, 12, and 13 of the +// Particle Data Group's "Monte Carlo Particle Numbering Scheme" +// (2019 revision). +bool isMesonOrAntimeson( int pdg_code ) { + + // Ignore differences between mesons and antimesons for this test. Mesons + // will have positive PDG codes, while antimesons will have negative ones. + int abs_pdg = std::abs( pdg_code ); + + // Meson PDG codes have no more than seven digits. Seven-digit + // codes beginning with "99" are reserved for generator-specific + // particles + if ( abs_pdg >= 9900000 ) return false; + + // Mesons have a value of zero for $n_{q1}$, the thousands digit + int thousands_digit = ( abs_pdg / 1000 ) % 10; + if ( thousands_digit != 0 ) return false; + + // They also have a nonzero value for $n_{q2}$, the hundreds digit + int hundreds_digit = ( abs_pdg / 100 ) % 10; + if ( hundreds_digit == 0 ) return false; + + // Reserved codes for Standard Model parton distribution functions + if ( abs_pdg >= 901 && abs_pdg <= 930 ) return false; + + // Reggeon and pomeron + if ( abs_pdg == 110 || abs_pdg == 990 ) return false; + + // Reserved codes for GEANT tracking purposes + if ( abs_pdg == 998 || abs_pdg == 999 ) return false; + + // Reserved code for generator-specific pseudoparticles + if ( abs_pdg == 100 ) return false; + + // If we've passed all of the tests above, then the particle is a meson + return true; +} + +// Updated signal definition used for the newer 2025 CCNp cross-section analysis. +// It is similar to the original isCC1MuNp definition but has a few small +// differences. +bool isCC1MuNpFor2025Analysis( FitEvent* event, double EnuMin, double EnuMax ) { + + // PDG codes of interest + const int MUON = 13; + const int MUON_NEUTRINO = 14; + const int PROTON = 2212; + + // Require the event to be a numu CC inclusive interaction + if ( !SignalDef::isCCINC(event, MUON_NEUTRINO, EnuMin, EnuMax) ) return false; + + // Require at least one proton in the final state + if ( event->NumFSProton() < 1 ) return false; + + // Impose kinematic limits in the signal definition + double p_mu = event->GetHMFSParticle( MUON )->fP.Vect().Mag(); // MeV + double p_lead_p = event->GetHMFSParticle( PROTON )->fP.Vect().Mag(); // MeV + + // The muon momentum must be at least 100 MeV/c and at most 1.2 GeV/c + if ( p_mu < 100. || p_mu > 1200. ) return false; + + // The leading proton momentum must lie on the interval [250, 1000] MeV/c + if ( p_lead_p < 250. || p_lead_p > 1000. ) return false; + + // Veto events with final-state mesons or antimesons of any kind. Do this by + // looping over every particle in the event. + size_t num_particles = event->NParticles(); + for ( size_t p = 0u; p < num_particles; ++p ) { + // Skip the check for any particle that is not part of the final state + int state = event->GetParticleState( p ); + if ( state != kFinalState ) continue; + // Otherwise, decide whether it is a meson or antimeson. If it is, then + // veto the event. + int pdg = event->GetParticlePDG( p ); + bool is_meson = isMesonOrAntimeson( pdg ); + if ( is_meson ) return false; + } + + // If we've made it here, then the current event has passed all of the + // requirements in the signal definition + return true; +} } // namespace MicroBooNE } // namespace SignalDef diff --git a/src/MicroBooNE/MicroBooNE_SignalDef.h b/src/MicroBooNE/MicroBooNE_SignalDef.h index c00c6ae68..01fed7110 100644 --- a/src/MicroBooNE/MicroBooNE_SignalDef.h +++ b/src/MicroBooNE/MicroBooNE_SignalDef.h @@ -55,6 +55,10 @@ std::vector GetCC1Mu1pProtonsInPS(FitEvent* event); */ bool isNCpi0(FitEvent* event); +// 2025 numu CC 0pi Np analysis +bool isMesonOrAntimeson( int pdg_code ); +bool isCC1MuNpFor2025Analysis( FitEvent* event, double EnuMin, double EnuMax ); + } // namespace MicroBooNE } // namespace SignalDef