Crab Nebula Performance srcdep analysis

Crab Nebula Performance (source-dependent analysis)

General information

• Name of the source: Name
• Brief description of the source:
  • Object type : Unknown, AGN, SNR, Pulsar, PWN, GRB, etc
  • Redshift (z) :
  • Other relevant information
  • RA: XX XX XX.XX (hh mm ss), Dec: +/-YY YY YY.YY (dd mm ss)
  • RA, Dec in deg (ICRS): XX.XX, YY.YY

• Analysis by Name (Institute - email)

DL1 data

• real data

standard OSA production

/fefs/aswg/workspace/abelardo.moralejo/Crab_performance_paper/data/DL1//YYYYMMDD/dl1_LST-1.Run0XXXX.h5
(/fefs/aswg/data/real/DL1/YYYYMMDD/v0.9/tailcut84/dl1_LST-1.Run0XXXX.h5)

• MC (training)

specific lstmcpipe production (NSB tuned)

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/DL1_MC/TrainingDataset/GammaDiffuse/merged/dl1_20220518_allsky_dec2276_tuned_dec_2276_GammaDiffuse_merged.h5
/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/DL1_MC/TrainingDataset/Protons/merged/dl1_20220518_allsky_dec2276_tuned_dec_2276_Protons_merged.h5

• MC (test)

specific lstmcpipe production (NSB tuned)

/fefs/aswg/data/mc/DL1/AllSky/20220518_allsky_dec2276_tuned/TestingDataset/dl1_20220518_allsky_dec2276_tuned_node_theta_XXXX_az_YYYYYYY__merged.h5

Random forest

• configuration file

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/RF/lstchain_src_dep_config.json

• Energy regression

   "random_forest_energy_regressor_args": {
       "max_depth": 30,
       "min_samples_leaf": 10,
       "n_jobs": -1,
       "n_estimators": 150,
       "bootstrap": true,
       "criterion": "squared_error",
       "max_features": "auto",
       "max_leaf_nodes": null,
       "min_impurity_decrease": 0.0,
       "min_samples_split": 10,
       "min_weight_fraction_leaf": 0.0,
       "oob_score": false,
       "random_state": 42,
       "verbose": 0,
       "warm_start": false
   },

   "energy_regression_features": [
       "log_intensity",
       "width",
       "length",
       "wl",
       "skewness_from_source",
       "kurtosis",
       "time_gradient_from_source",
       "leakage_intensity_width_2",
       "alt_tel",
       "az_tel",
       "dist"
   ],

• gamma/hadron separation

   "random_forest_particle_classifier_args": {
       "max_depth": 30,
       "min_samples_leaf": 10,
       "n_jobs": -1,
       "n_estimators": 100,
       "criterion": "gini",
       "min_samples_split": 10,
       "min_weight_fraction_leaf": 0.0,
       "max_features": "auto",
       "max_leaf_nodes": null,
       "min_impurity_decrease": 0.0,
       "bootstrap": true,
       "oob_score": false,
       "random_state": 42,
       "verbose": 0.0,
       "warm_start": false,
       "class_weight": null
   },

   "particle_classification_features": [
       "log_intensity",
       "width",
       "length",
       "wl",
       "skewness_from_source",
       "kurtosis",
       "time_gradient_from_source",
       "leakage_intensity_width_2",
       "log_reco_energy",
       "alt_tel",
       "az_tel",
       "dist"

• produced models

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/RF/trained_models/

DL2 data

• MC

• configuration file

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/DL2_MC/lstchain_src_dep_config.json

• path

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/DL2_MC/data

• real data

• configuration file

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/DL2/lstchain_src_dep_config.json

• path

/fefs/aswg/workspace/seiya.nozaki/Crab_performance_paper/20220518_allsky_dec2276_tuned/zd_all_with_pointing_info/DL2/YYYYMMDD

DL3 data selection

Information about your DL3 data selection.

Example

• intensity > 50
• r: [0, 1 ]
• wl: [0.1, 1 ]
• leakage_intensity_width_2: [0, 0.2 ]

• source-indep
  • fixed_gh_cut: 0.3
  • fixed_theta_cut: 0.2

• source-dep
  • fixed_gh_cut: 0.7
  • fixed_alpha_cut: 10

High-level analysis

Please put any information about the production of higher level analysis here.

Example

• lstchain to generate source-dep IRF, DL3
• Science Tool: gammapy 0.18.2
• point-like IRF, 1D analysis

Analysis Results

Please place higher-level analysis results (Spectra, SkyMaps, Lightcurves, etc) here.