PG1553+113 Preliminary Analysis with lstchain v0.7.x Priyadarshi
Contents
PG1553+113 Preliminary Analysis with lstchain v0.7.x Priyadarshi[edit]
General information[edit]
- Name of the source: PG 1553+113
- Brief description of the source:
- Object type : AGN
- Redshift (z) : 0.433 Dorigo Jones et al
- BL Lac
- RA: 15 5543.044 (hh mm ss), Dec: +11 11 24.365 (dd mm ss)
- RA, Dec in deg (ICRS): 238.92934976, 11.19010155
- Analysis by Chaitanya Priyadarshi (IFAE - cpriyadarshi@ifae.es)
Data-taking information[edit]
- Dates of data-taking: 20210321, 20210407, 20210408, 20210410, 20210420, 20210508, 20210604, 20210605, 20210606, 20210609
- 20210321 (0.31 h)
- ZD range (deg): [39.76]
- AZ range (deg): [108.39]
- Runs: 4207
- Joint observations with MAGIC? : Yes
- 20210321 (0.31 h)
- 20210407 (1.11 h)
- ZD range (deg): [18.42, 26.43]
- AZ range (deg): [197.5, 231.14]
- Runs: 4333 - 4336
- Joint observations with MAGIC? : No
- 20210407 (1.11 h)
- 20210408 (0.43 h)
- ZD range (deg): [17.71, 18.46]
- AZ range (deg): [183.62, 198.43]
- Runs: 4343, 4344
- Joint observations with MAGIC? : No
- 20210408 (0.43 h)
- 20210410 (1.96 h)
- ZD range (deg): [17.48, 48.84]
- AZ range (deg): [100.79, 190.59]
- Runs: 4363 - 4370
- Joint observations with MAGIC? : No
- 20210410 (1.96 h)
- 20210420 (0.29 h)
- ZD range (deg): [20.15, 22.06]
- AZ range (deg): [211.01, 219.81]
- Runs: 4514, 4515
- Joint observations with MAGIC? : No
- 20210420 (0.29 h)
- 20210508 (0.83 h)
- ZD range (deg): [34, 42.45]
- AZ range (deg): [105.21, 114.84]
- Runs: 4652 - 4654
- Joint observations with MAGIC? : Yes
- 20210508 (0.83 h)
- 20210604 (0.88 h)
- ZD range (deg): [18.8, 24.67]
- AZ range (deg): [131.9, 162.59]
- Runs: 4902 - 4905
- Joint observations with MAGIC? : No
- 20210604 (0.88 h)
- 20210605 (0.79 h)
- ZD range (deg): [33.95, 41.33]
- AZ range (deg): [245.96, 253.11]
- Runs: 4930 - 4932
- Joint observations with MAGIC? : Yes
- 20210605 (0.79 h)
- 20210606 (1.28 h)
- ZD range (deg): [18.21, 27.27]
- AZ range (deg): [125.81, 172.56]
- Runs: 4940 - 4943
- Joint observations with MAGIC? : No
- 20210606 (1.28 h)
- 20210609 (0.89 h)
- ZD range (deg): [19.11, 28.35]
- AZ range (deg): [123.68, 139.46]
- Runs: 4987 - 4989
- Joint observations with MAGIC? : No
- 20210609 (0.89 h)
Monte Carlo information[edit]
For energy-dependent cuts[edit]
- Link to MC DL2 files used:
/fefs/aswg/data/mc/DL2/20200629_prod5_trans_80/{particle}/zenith_20deg/south_pointing/20210923_v0.7.5_prod5_trans_80_dynamic_cleaning/ /fefs/aswg/data/mc/DL2/20200629_prod5_trans_80/{particle}/zenith_40deg/south_pointing/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4/
- Particle types: point-gamma (offset=0.4 deg), proton, electron
- ZD (deg): [20, 40]
- AZ (deg): [180, 180]
For global cuts[edit]
- Link to MC DL2 files used:
/fefs/aswg/data/mc/DL2/20200629_prod5_trans_80/{particle}/zenith_20deg/south_pointing/20210416_v0.7.3_prod5_trans_80_local_taicut_8_4/
- Particle types: point-gamma (offset=0.4 deg), proton, electron
- ZD (deg): [20]
- AZ (deg): [180]
DL1 data[edit]
This includes whether you use LSTOSA, specific versions of lstchain, dllab scripts, cleaning levels, and calibration information.
DL1a files produced by LSTOSA (lstchain v0.7.1 and v0.7.3)
- original real DL1a data
/fefs/aswg/data/real/DL1/{Date}/v0.7.{1,3}/tailcut84/
- lstchain v0.7.1 tailcut8-4 (with cleaning based on pedestal RMS)
/fefs/aswg/data/real/DL1/20210319/v0.7.1/log/lstchain_standard_config_tailcut84.json
- lstchain v0.7.3 tailcut8-4 (with cleaning based on pedestal RMS), dynamic cleaning
/fefs/aswg/data/real/DL1/20210320/v0.7.3/tailcut84/log/lstchain_standard_config_tailcut84.json
- MC (zen 20 deg): tailcut8-4 (with cleaning based on pedestal RMS), dynamic cleaning
/fefs/aswg/data/mc/DL1/20200629_prod5_trans_80/proton/zenith_20deg/south_pointing/20210923_v0.7.5_prod5_trans_80_dynamic_cleaning/lstchain_standard_config_v075_Tel1_tail84_dynamic_clean.json
- MC (zen 40 deg): tailcut8-4 (with cleaning based on pedestal RMS)
/fefs/aswg/data/mc/DL1/20200629_prod5_trans_80/proton/zenith_40deg/south_pointing/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4/lstchain_standard_config_v073_Tel1_tail_8_4_MC_config.json
Random forest[edit]
- lstchain v0.7.5 source-indep, zenith 20 deg, azimuth 180 deg, dynamic cleaning
/fefs/aswg/data/models/20200629_prod5_trans_80/zenith_20deg/south_pointing/20210923_v0.7.5_prod5_trans_80_dynamic_cleaning/lstchain_standard_config_v075_Tel1_tail84_dynamic_clean.json
- lstchain v0.7.3 source-indep, zenith 40 deg, azimuth 180 deg
/fefs/aswg/data/models/20200629_prod5_trans_80/zenith_40deg/south_pointing/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4/lstchain_standard_config_v073_Tel1_tail_8_4_MC_config.json
DL2 data[edit]
Similar to DL1 files
DL3 data selection[edit]
For energy-dependent cuts[edit]
Information about your DL3 data selection.
- intensity > 0
- r: [0, 1]
- wl: [0.01, 1]
- leakage_intensity_width_2: [0, 1]
- source-indep
- gh_efficiency: 0.8
- theta_containment: 0.8
For global cuts[edit]
Information about your DL3 data selection.
- intensity > 0
- r: [0, 1]
- wl: [0.01, 1]
- leakage_intensity_width_2: [0, 1]
- source-indep
- global_gh_cut: 0.7
- global_theta_cut: 0.2
High-level analysis[edit]
- lstchain Tools to generate source-independent IRF and DL3
- Science Tool: gammapy 0.20.dev309+gb11005a (Developer build to extract signal from energy-dependent regions)
- point-like IRF, 1D analysis
A total of 8.69 hrs of data was analyzed
For DL3 data reduction to DL4 dataset,
- OFF regions selected - 1 Wobble
- Safe Energy mask for systematics - No
- Energy axes -
- True: 10 GeV to 100 TeV with 10 bins per decade
- Reco: 10 GeV to 40 TeV with 5 bins per decade
For spectral analysis,
- Model used - Log Parabola, Power Law
- Reference energy used by calculating the decorrelation energy with a Power Law fit, ~86 GeV
- Spectral Fit energy range - 10 GeV to 40 TeV with 5 bins per decade
- Spectral fit with gammapy default optimization - minuit
Analysis Results[edit]
Theta2 plot[edit]
Significance map[edit]
Excess map[edit]
Spectral results[edit]
For energy-dependent cuts[edit]
Preliminary LC and SED, for the full dataset-
- With Log Parabola model
- With Power Law model
For global cuts[edit]
- With Power Law model