diff --git a/docs/examples/bunching.ipynb b/docs/examples/bunching.ipynb index dab1a06..69e3582 100644 --- a/docs/examples/bunching.ipynb +++ b/docs/examples/bunching.ipynb @@ -40,6 +40,17 @@ { "cell_type": "code", "execution_count": 2, + "id": "4e90f855-514d-4224-8bc1-4c8ce425b57d", + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "2808d05b-41dc-44eb-ac98-ae00ec7ba97b", "metadata": {}, "outputs": [], @@ -54,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "f92a71d1-2804-4fba-a38b-3089351a910d", "metadata": {}, "outputs": [ @@ -90,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "95d51518-4dad-478d-a67f-4416e5e5a989", "metadata": {}, "outputs": [ @@ -100,7 +111,7 @@ "1.0" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -111,7 +122,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "9a0ba850-3e57-4b70-b0d1-31376166da55", "metadata": {}, "outputs": [ @@ -121,7 +132,7 @@ "1.0" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -132,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "1627bba1-710e-47b6-b923-9c64a6d32903", "metadata": {}, "outputs": [ @@ -142,7 +153,7 @@ "1.0" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -153,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "8e93a423-a3bc-4eac-9832-46888bd23f24", "metadata": {}, "outputs": [ @@ -163,7 +174,7 @@ "1.0" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -182,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "d24b9496-e828-45f1-a055-4e27e7aeba31", "metadata": {}, "outputs": [], @@ -194,7 +205,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "c6b5c501-bfdd-492d-891e-ba10e6b546ef", "metadata": {}, "outputs": [], @@ -204,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "50cda5af-4a97-4aa0-bf9c-c3984140d39c", "metadata": {}, "outputs": [ @@ -214,7 +225,7 @@ "Text(0, 0.5, 'bunching')" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, @@ -240,6 +251,63 @@ "plt.ylabel('bunching')" ] }, + { + "cell_type": "code", + "execution_count": 12, + "id": "42b088fa-aaef-43df-910f-07cddac21bb0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 434, + "width": 627 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "P.slice_plot('bunching_0.1_um')" + ] + }, + { + "cell_type": "markdown", + "id": "aaa2cc83-9988-4249-a39c-9ee0e15529a3", + "metadata": {}, + "source": [ + "## Units\n", + "\n", + "Bunching is dimensionless" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "01b2f6d7-734c-4bea-add3-48ffa215dacc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pmd_unit('', 1, (0, 0, 0, 0, 0, 0, 0))" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "P.units('bunching_0.1_um')" + ] + }, { "cell_type": "markdown", "id": "8a0a3ee9-3fbe-4299-ba9f-7055cf2869ab", @@ -252,7 +320,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "ac7ee4c6-1b02-40a1-96a3-3be6629da002", "metadata": {}, "outputs": [], @@ -262,7 +330,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "id": "af2982d8-a19d-481f-b9ec-940d5d02e290", "metadata": {}, "outputs": [ diff --git a/pmd_beamphysics/labels.py b/pmd_beamphysics/labels.py index d6b7069..7d2c896 100644 --- a/pmd_beamphysics/labels.py +++ b/pmd_beamphysics/labels.py @@ -1,4 +1,4 @@ -from pmd_beamphysics.units import pg_units +from pmd_beamphysics.units import pg_units, parse_bunching_str, nice_array TEXLABEL = { @@ -119,6 +119,11 @@ def texlabel(key: str): tex1 = texlabel(subkeys[1]) return fr'\left<{tex0}, {tex1}\right>' + if key.startswith('bunching'): + wavelength = parse_bunching_str(key) + x, _, prefix = nice_array(wavelength) + return f'\mathrm{{bunching~at}}~{x:.1f}~\mathrm{{ {prefix}m }}' + return None diff --git a/pmd_beamphysics/particles.py b/pmd_beamphysics/particles.py index 17b3962..78a7289 100644 --- a/pmd_beamphysics/particles.py +++ b/pmd_beamphysics/particles.py @@ -1,4 +1,4 @@ -from pmd_beamphysics.units import dimension, dimension_name, SI_symbol, pg_units, c_light +from pmd_beamphysics.units import dimension, dimension_name, SI_symbol, pg_units, c_light, parse_bunching_str from pmd_beamphysics.interfaces.astra import write_astra from pmd_beamphysics.interfaces.bmad import write_bmad @@ -750,7 +750,7 @@ def __getitem__(self, key): elif key.startswith('ptp_'): return self.ptp(key[4:]) elif key.startswith('bunching_'): - wavelength = statistics.parse_bunching_str(key) + wavelength = parse_bunching_str(key) return self.bunching(wavelength) else: diff --git a/pmd_beamphysics/statistics.py b/pmd_beamphysics/statistics.py index 166f72c..1b9cc41 100644 --- a/pmd_beamphysics/statistics.py +++ b/pmd_beamphysics/statistics.py @@ -569,42 +569,6 @@ def bunching(z: np.ndarray, wavelength: float, weight: np.ndarray = None) -> flo f = np.exp(1j * k * z) return np.abs(np.sum(weight * f)) / np.sum(weight) -def parse_bunching_str(s): - """ - Parse a string of the on of the forms to extract the wavelength: - 'bunching_1.23e-4' - 'bunching_1.23e-4_nm' - - Returns - ------- - wavelength: float - - """ - assert s.startswith('bunching_') - - x = s.split('_') - - wavelength = float(x[1]) - - if len(x) == 2: - factor = 1 - elif len(x) == 3: - unit = x[2] - if unit == 'm': - factor = 1 - elif unit == 'mm': - factor = 1e-3 - elif unit == 'µm' or unit == 'um': - factor = 1e-6 - elif unit == 'nm': - factor = 1e-9 - else: - raise ValueError(f'Unparsable unit: {unit}') - else: - raise ValueError(f'Cannot parse {s}') - - - return wavelength * factor diff --git a/pmd_beamphysics/units.py b/pmd_beamphysics/units.py index 2bdb49f..ce0e415 100644 --- a/pmd_beamphysics/units.py +++ b/pmd_beamphysics/units.py @@ -442,7 +442,7 @@ def plottable_array(x, nice=True, lim=None): PARTICLEGROUP_UNITS[k] = unit('eV/c') for k in ['x', 'y', 'z', 'r', 'Jx', 'Jy']: PARTICLEGROUP_UNITS[k] = unit('m') -for k in ['beta', 'beta_x', 'beta_y', 'beta_z', 'gamma']: +for k in ['beta', 'beta_x', 'beta_y', 'beta_z', 'gamma', 'bunching']: PARTICLEGROUP_UNITS[k] = unit('1') for k in ['theta']: PARTICLEGROUP_UNITS[k] = unit('rad') @@ -504,10 +504,53 @@ def pg_units(key): return unit('V/m') if key.startswith('magneticField'): return unit('T') + if key.startswith('bunching_'): + return unit('1') raise ValueError(f'No known unit for: {key}') + +# ------------------------- +# Special parsers + +def parse_bunching_str(s): + """ + Parse a string of the on of the forms to extract the wavelength: + 'bunching_1.23e-4' + 'bunching_1.23e-4_nm' + + Returns + ------- + wavelength: float + + """ + assert s.startswith('bunching_') + + x = s.split('_') + + wavelength = float(x[1]) + + if len(x) == 2: + factor = 1 + elif len(x) == 3: + unit = x[2] + if unit == 'm': + factor = 1 + elif unit == 'mm': + factor = 1e-3 + elif unit == 'µm' or unit == 'um': + factor = 1e-6 + elif unit == 'nm': + factor = 1e-9 + else: + raise ValueError(f'Unparsable unit: {unit}') + else: + raise ValueError(f'Cannot parse {s}') + + + return wavelength * factor + # ------------------------- @@ -591,6 +634,9 @@ def write_dataset_and_unit_h5(h5, name, data, unit=None): if unit: write_unit_h5(h5[name], unit) + + +