BLLac2022flare

BL Lacertae 2022 flare project

General information

• Name of the source: BL Lacertae
• Brief description of the source:

- Object type : Blazar

- RA: 22 02 43.3 (hh mm ss), Dec: +42 16 40 (dd mm ss)

• Analysis by:
  • Jorge Otero Santos (IAA-CSIC, joteros@iaa.es)
  • Daniel Morcuende (IAA-CSIC, dmorcuende@iaa.es)

Data-taking information

• Dates of data-taking:
  • Date: 16/09/2022-25/11/2022 (53 h before cuts)
    • ZD range (deg): 15-60 deg
    • AZ range (deg): 0-60 and 300-360 deg
    • Joint observations with MAGIC? : No
    • Runs:

1 : 2022-09-16 : 9228 to 9232
2 : 2022-09-21 : 9262 to 9268
3 : 2022-09-22 : 9347 to 9350
4: 2022-10-01: 9453 to 9461
5: 2022-10-03: 9544 to 9555
6: 2022-10-15: 9631 to 9635
7: 2022-10-16: 9648
8: 2022-10-17: 9678 to 9685
9: 2022-10-18: 9697 to 9706
10: 2022-10-19: 9729 to 9739
11: 2022-10-20: 9753 to 9761
12: 2022-10-21: 9808 to 9815
13: 2022-10-23: 9836 to 9848
14: 2022-10-24: 9864 to 9873
15: 2022-10-25: 9892 to 9900
16: 2022-10-26: 9921 to 9924
17: 2022-10-27: 9940 to 9944
18: 2022-10-28: 9969 to 9973
19: 2022-10-29: 9993 to 9995
20: 2022-10-31: 10022 to 10029
21: 2022-11-01: 10069 to 10076
22: 2022-11-02: 10193 to 10204
23: 2022-11-13: 10508 to 10512
24: 2022-11-14: 10521 to 10523
25: 2022-11-15: 10586 to 10588
26: 2022-11-16: 10616 to 10620
27: 2022-11-17: 10652 to 10655
28: 2022-11-18: 10827 to 10830
29: 2022-11-19: 10870 to 10872
30: 2022-11-25: 11033 to 11037
 

Data-quality selection

Used latest version of the data quality selection notebook. Standard configuration + dR/dI cosmics rate @ 422 p.e. = 1.1 Cut of max_diffuse_nsb_std = 2.3 for moon data selection

720px

• Selected dark runs: 104 of 193 runs (29 h)

• Selected moon runs: 30 of 193 runs (8 h)

Monte Carlo information

• Link to MC files used:
  • Dark data: /fefs/aswg/data/mc/DL2/AllSky/20230925_v0.10.4_src3_dec3476_4822_tuned/TestingDataset/dec_3476/
  • Moon data: /fefs/aswg/data/mc/DL2/AllSky/20240426_v0.10.9_src3_dec3476_4822_tunedNSB/TestingDataset/dec_3476/ (tuned NSBs and cleaning to match that needed for the real data)

DL1 data

Dark data :

Standard data from /fefs/aswg/data/real/DL1/ with version v0.9 and cleaning tailcut84

Moon data :

Moon data reprocessed to produce the DL1b files with the optimal cleaning for moon analysis as calculated with lstchain_dvr_pixselector -f "/fefs/aswg/data/real/DL1/2022XXXX/v0.9/tailcut84/dl1_LST-1.RunXXXXX'.*.h5" Reprocessed using DL1a files produced by LSTOSA (lstchain v0.10.XX) and dl1ab script (v0.7.5)

• original DL1a files

/fefs/aswg/data/real/DL1/2022XXXX/v0.9/tailcut84/dl1_LST-1.Run0XXXX.XXXX.h5

SPECIFY THE CONFIGURATION FOR OPTIMIZING THE CLEANING

• Produced DL1b files

/fefs/aswg/workspace/seiya.nozaki/data/BLLac/v0.7.3/tailcut84_dynamic_v075/DL1_raw/Run0XXXX

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.