Difference between revisions of "RS Oph"

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===== Monte Carlo information =====
 
===== Monte Carlo information =====
* Link to MC files used: /fefs/aswg/data/mc/DL1/20200629_prod5_trans_80/{particle}/{zenith}/{azimuth}/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4
+
* Link to MC files used:  
 
** Particle types: gamma, proton
 
** Particle types: gamma, proton
 
** ZD (deg): 40
 
** ZD (deg): 40
 
** AZ (deg): 180
 
** AZ (deg): 180
  
Added source dependent analysis using script `lstchain_add_source_dependent_parameters.py` and dynamic cleaning using srcipt `` from lstchain v0.7.3.
+
===== DL1 data =====
 +
 
 +
====== real data ======
 +
 
 +
* original DL1a files
 +
/fefs/aswg/data/real/DL1/{20210809,20210810,20210812}/v0.7.3/tailcut84/dl1_LST-1.Run0XXXX.XXXX.h5
 +
 
 +
Added dynamic cleaning using srcipt `lstchain_dl1ab.py` by LSTCHAIN v0.7.3.
 +
 
 +
* Cleaning: dynamic cleaning
 +
** Threshold: 267
 +
** Fraction_cleaning_intensity: 0.03
 +
 
 +
* Produced DL1b files
 +
 
 +
====== MC data ======
 +
 
 +
* original DL1a files
 +
/fefs/aswg/data/mc/DL1/20200629_prod5_trans_80/{particle}/{zenith}/{azimuth}/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4
 +
 
 +
Added source dependent analysis using script `lstchain_add_source_dependent_parameters.py` and dynamic cleaning using srcipt `lstchain_dl1ab.py` by LSTCHAIN v0.7.3.
  
 
* Cleaning: dynamic cleaning
 
* Cleaning: dynamic cleaning
Line 61: Line 81:
 
** Fraction_cleaning_intensity: 0.03
 
** Fraction_cleaning_intensity: 0.03
  
===== DL1 data =====  
+
* Produced DL1b files
 +
 
 +
 
 +
===== Random forest =====
 +
 
 +
===== DL2 data ======
  
 
=== Analysis February 2022 ===
 
=== Analysis February 2022 ===
  
 
==== Analysis A. Aguasca-Cabot ====
 
==== Analysis A. Aguasca-Cabot ====

Revision as of 10:17, 10 February 2022

General information

  • Name of the source: RS Ophiuchi
  • Brief description of the source:
    • Object type : Nova
    • Distance (kpc) : 1.2 - 2
    • Other relevant information: Outburst in August 8 2021 (ATel #14834)
    • RA: 17 50 13.16 (hh mm ss), Dec: -06 42 28.48 (dd mm ss)
    • RA, Dec in deg (ICRS): 267.55, -6.71

Data-taking information

  • Dates of data-taking: 20210809, 20210810, 20210812, 20210813, 20210814, 20210815, 20210829, 20210830, 20210901, 20210902.
    • Date (time of observation h): 20210809 (1.23)
      • ZD range (deg): [36,42]
      • AZ range (deg): [181, 226]
      • Transmission9km: XXX
      • Runs: 5580-5584
      • Joint observations with MAGIC? : Yes/No
    • Date (time of observation h): 20210910 (2.55)
      • ZD range (deg): [36, 58]
      • AZ range (deg): [181, 240]
      • Transmission9km: XXX
      • Runs: 5630-5639
      • Joint observations with MAGIC? : Yes/No
      • Comments: Spikes in camera rate.
    • Date (time of observation h): 20210912 (2.10)
      • ZD range (deg): [36,54]
      • AZ range (deg): [184, 235]
      • Transmission9km: XXX
      • Runs: 5696-5704
      • Joint observations with MAGIC? : Yes/No
      • Comments: Spikes in camera rate.
    • Date (time of observation h): 20210913 ()
      • ZD range (deg): Zenith Range
      • AZ range (deg): Azimuth Range
      • Transmission9km: XXX
      • Runs: XXXX-XXXX
      • Joint observations with MAGIC? : Yes/No

RS Oph data analysis

Analysis November 2021

Analysis A. Aguasca-Cabot

Source-dependent analysis

Monte Carlo information
  • Link to MC files used:
    • Particle types: gamma, proton
    • ZD (deg): 40
    • AZ (deg): 180
DL1 data
real data
  • original DL1a files

/fefs/aswg/data/real/DL1/{20210809,20210810,20210812}/v0.7.3/tailcut84/dl1_LST-1.Run0XXXX.XXXX.h5

Added dynamic cleaning using srcipt `lstchain_dl1ab.py` by LSTCHAIN v0.7.3.

  • Cleaning: dynamic cleaning
    • Threshold: 267
    • Fraction_cleaning_intensity: 0.03
  • Produced DL1b files
MC data
  • original DL1a files

/fefs/aswg/data/mc/DL1/20200629_prod5_trans_80/{particle}/{zenith}/{azimuth}/20210506_v0.7.3_prod5_trans_80_zen40deg_local_tailcut_8_4

Added source dependent analysis using script `lstchain_add_source_dependent_parameters.py` and dynamic cleaning using srcipt `lstchain_dl1ab.py` by LSTCHAIN v0.7.3.

  • Cleaning: dynamic cleaning
    • Threshold: 267
    • Fraction_cleaning_intensity: 0.03
  • Produced DL1b files


Random forest
DL2 data =

Analysis February 2022

Analysis A. Aguasca-Cabot