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cat july12_cat/log_pe/pe_28088400_774.log WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions. [00:00:05 - TESS-ATLAS-RUNNER] run_toi(5564) [00:00:05 - TESS-ATLAS-RUNNER] Executing july12_cat/0.2.1.dev64+gc7fa3a0/toi_5564.ipynb [00:03:25 - TESS-ATLAS-RUNNER] Preprocessing july12_cat/0.2.1.dev64+gc7fa3a0/toi_5564.ipynb failed: An error occurred while executing the following cell: ------------------ planet_transit_model, params = build_planet_transit_model(tic_entry) model_varnames = get_untransformed_varnames(planet_transit_model) test_model(planet_transit_model) # %notify -m "Planet model ready!" ------------------ --------------------------------------------------------------------------- ValueError Traceback (most recent call last) /tmp/ipykernel_3802/225095833.py in <module> 1 planet_transit_model, params = build_planet_transit_model(tic_entry) 2 model_varnames = get_untransformed_varnames(planet_transit_model) ----> 3 test_model(planet_transit_model) 4 # %notify -m "Planet model ready!" /fred/oz200/avajpeyi/projects/tess-atlas/src/tess_atlas/data/inference_data_tools.py in test_model(model, point, show_summary) 132 test_prob = model.check_test_point(point) 133 test_prob.name = "log P(test-point)" --> 134 check_df_for_finites(test_prob) 135 if show_summary: 136 test_pt = pd.Series( /fred/oz200/avajpeyi/projects/tess-atlas/src/tess_atlas/data/inference_data_tools.py in check_df_for_finites(df) 122 def check_df_for_finites(df): 123 if df.isnull().values.any(): --> 124 raise ValueError(f"The model(testval) has a nan:\n{df}") 125 if np.isinf(df).values.sum() > 0: 126 raise ValueError(f"The model(testval) has an inf:\n{df}") ValueError: The model(testval) has a nan: dur_interval__ 1.10 r_log__ -1.84 b_impact__ -2.79 tmin_interval__ 1.71 p_1_lowerbound__ NaN tmax_2_interval__ 1.38 f0 -3.22 u_quadlimbdark__ -2.77 jitter_log__ 0.11 sigma_log__ 0.11 rho_log__ -0.55 obs -149706.68 Name: log P(test-point), dtype: float64 ValueError: The model(testval) has a nan: dur_interval__ 1.10 r_log__ -1.84 b_impact__ -2.79 tmin_interval__ 1.71 p_1_lowerbound__ NaN tmax_2_interval__ 1.38 f0 -3.22 u_quadlimbdark__ -2.77 jitter_log__ 0.11 sigma_log__ 0.11 rho_log__ -0.55 obs -149706.68 Name: log P(test-point), dtype: float64 [00:03:25 - TESS-ATLAS-RUNNER] TOI 5564 execution complete: False (200.66s)
Other TOIs with this issue:
289 898 1589 1847 2003 2423 2472 2477 2534 4465 5564
The text was updated successfully, but these errors were encountered:
Ok! so this is to do with the single-transit model priors:
import pandas as pd x = "289 898 1589 1847 2003 2423 2472 2477 2534 4465 5564".split() p = [f"toi_{i}_files/tic_data.csv" for i in x] df = pd.concat([pd.read_csv(i) for i in p]) df[['TOI int', 'Single Transit', 'Multiplanet System', 'Planet SNR']]
TOI int Single Transit Multiplanet System Planet SNR 0 289 True False 33.0 0 898 True False 15.0 0 1589 True False 82.0 0 1847 True True 29.0 1 1847 False True 1000.0 0 2003 True False 29.0 0 2423 True False 152.0 0 2472 True False 9.0 0 2477 True False 11.0 0 2534 True False 25.0 0 4465 True False 257.0 0 5564 True True 21.0 1 5564 False True 34.0
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Other TOIs with this issue:
The text was updated successfully, but these errors were encountered: