Analysis BLLac Aug 2021 w IRF interpolation Priyadarshi
Contents
BL Lacertae August 2021
General information
- Name of the source: BL Lacertae
- Brief description of the source:
- IBL / LBL
- highly variable
- z = 0.069
- RA: 22 02 43.3 (hh mm ss), Dec: +42 16 40 (dd mm ss)
- RA, Dec in deg (ICRS): 330.68038, 42.277772
- Analysis by Chaitanya Priyadarshi ((IFAE - cpriyadarshi@ifae.es)
Data-taking information
See https://www.lst1.iac.es/wiki/index.php/BLLac#Data-taking_information
Monte Carlo information
For getting a closer data-MC comparison, we produce MC data along various sky positions (nodes) as a preliminary method to facilitate better Random Forest model for the reconstruction and to interpolate IRFs from various sky positions to the target position of each Observation Run.
DL1 data
This includes whether you use LSTOSA, specific versions of lstchain, dllab scripts, cleaning levels, and calibration information.
DL1a files produced by LSTOSA (lstchain v0.9)
- original real DL1a data
/fefs/aswg/data/real/DL1/{Date}/v0.9/tailcut84/
- lstchain v0.9 tailcut8-4 (with cleaning based on pedestal RMS, dynamical cleaning)
/fefs/aswg/data/real/DL1/20210808/v0.9/tailcut84/log/lstchain_config_tailcut84_v092.json
- MC nodes: tailcut8-4 (with cleaning based on pedestal RMS), dynamic cleaning, NSB tuning
/fefs/aswg/data/mc/DL1/AllSky/20220601_dec3476_tuned/{Testing, Training}Dataset/
Random forest
- Old RF
Here we use the TrainingDataset nodes, selected along the declination path (or closer to) of the selected source (BL Lac here). The "dec3476" part in the production ID refers to the declination angle of +34.76 deg. In this new RF model production, we include zenith and azimuth pointing parameters as well.
- lstchain v0.9.6dev source-independent, dynamic cleaning, NSB tuning
/fefs/aswg/data/models/AllSky/20220601_dec3476_tuned/
- New RF
Here we use the TrainingDataset nodes, selected along the declination path (or closer to) of the selected source (BL Lac here). The "dec3476" part in the production ID refers to the declination angle of +34.76 deg and similarly for "4822". We have combined the Training nodes of the 2 declination lines to have a better RF model for the declination path of the source NGC 1275. See All_sky_mc_bllac for more information.
In this new RF model production, we include zenith and azimuth pointing parameters as well.
- lstchain v0.9.13dev source-independent, dynamic cleaning, NSB tuning on BL Lac,
/fefs/aswg/workspace/seiya.nozaki/BLLac_paper/20221104_src3_dec3476_4822_tuned/merged/srcindep/RF/trained_models/
For IRF interpolation
Here we create an almost uniform grid of nodes of sky positions for TestingDataset MC, so as to facilitate IRF interpolation in the parameter space of cos zenith and the sin of angle (delta) between the geomagnetic field and the particle shower direction. IRF interpolation is performed using pyirf v0.7.
- Link to MC DL2 files used:
- Old files
/fefs/aswg/data/mc/DL2/AllSky/20220601_dec3476_tuned/TestingDataset/
- New files
/fefs/aswg/workspace/seiya.nozaki/BLLac_paper/20221104_src3_dec3476_4822_tuned/merged/srcindep/DL2_MC/data/
- Particle types: ring-wobble gamma (offset range = [0.3999, 0.4001] deg)
DL2 data
The DL2 files of the real data are stored here -
- Old files
/fefs/aswg/workspace/chaitanya.priyadarshi/real_data/AGN/BLLac/v09x/tailcut84/DL2/real/src_indep/20220601_dec3476/{Date}
- New files
/fefs/aswg/workspace/chaitanya.priyadarshi/real_data/AGN/BLLac/v09x/tailcut84/DL2/real/src_indep/20221104_dec3476_4822_tuned/{Date}
DL3 data selection
For energy-dependent cuts
Information about your DL3 data selection.
- intensity > 50
- r: [0, 1]
- wl: [0.01, 1]
- leakage_intensity_width_2: [0, 1]
- source-independent
- gh_efficiency: 0.8
- theta_containment: 0.8
High-level analysis
- lstchain Tools to generate source-independent IRF and DL3
- Science Tool: gammapy 0.20.1
- point-like IRF, 1D analysis
For DL3 data reduction to DL4 dataset,
- OFF regions selected - 1 and 2 Wobbles
- Safe Energy mask for systematics - Yes, 25.1 GeV < E < 40 TeV
- Energy axes -
- True: 10 GeV to 100 TeV with 10 bins per decade
- Reco: 10 GeV to 10 TeV with 5 (10 for Aug 3, 8) bins per decade
- DL4 dataset plots for full August (1 and 2 OFF regions)
- DL4 dataset plots for Aug 3 (1 and 2 OFF regions)
- DL4 dataset plots for Aug 8 (1 and 2 OFF regions)
For spectral analysis,
- Model used - Log Parabola + EBL (Dominguez)
- Reference energy used by calculating the decorrelation energy with a Power Law fit, 124 (82 for Aug 3, 125 for Aug 8) GeV
- Spectral Fit energy range - 10 GeV to 10 TeV with 5 (10 for Aug 3, 8) bins per decade
- Spectral fit with gammapy default optimization - minuit
For LC,
- E_min = 63.1, 100 Gev
Analysis Results
Theta2 plot
Significance map
Excess map
Spectral results
For energy-dependent cuts
- Full Aug dataset
- 1 OFF region
Preliminary LC and SED
- 2 OFF regions (10 energy bins per decade)
- Aug 3 night
- 2 OFF regions
- Aug 8 night
- 1 OFF regions
Preliminary LC and SED
- 2 OFF regions
Preliminary LC and SED
LC here is built with standard GTI time intervals and with 1/3rd of each GTI time interval
- Comparison of different OFF regions for Aug 8 dataset