Difference between revisions of "Analysis A. Aguasca-Cabot lstchain v0.7.X"
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= Overview = | = Overview = | ||
| − | *Source-dependent analysis using LSTCHAIN v0.7.5 | + | *Source-dependent analysis using LSTCHAIN v0.7.5 and LSTCHAIN v0.7.3 in the stage of R0 to DL1 for MC and real data. |
| + | *Cleaning method tail cut 84 and dynamic cleaning. | ||
*Observations used in the analysis: 5580-5584, 5630-5639 and 5696-5704. | *Observations used in the analysis: 5580-5584, 5630-5639 and 5696-5704. | ||
*Results presented in the LST General meeting (Nov. 2021), link [https://indico.cta-observatory.org/event/3671/contributions/31293/attachments/20339/28377/Aguasca_20211119.pdf=edit here]. | *Results presented in the LST General meeting (Nov. 2021), link [https://indico.cta-observatory.org/event/3671/contributions/31293/attachments/20339/28377/Aguasca_20211119.pdf=edit here]. | ||
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== Monte Carlo information == | == Monte Carlo information == | ||
* Link to MC files used: | * Link to MC files used: | ||
| − | + | :- Particle types: gamma, proton | |
| − | + | :- ZD (deg): 40 | |
| − | + | :- AZ (deg): 180 | |
== DL1 data == | == DL1 data == | ||
* LSTCHAIN v0.7.5 | * LSTCHAIN v0.7.5 | ||
| − | + | :- Source-dependent parameters added using script `lstchain_add_source_dependent_parameters.py`. | |
| − | + | :- Dynamic cleaning applied using srcipt `lstchain_dl1ab.py`. | |
"dynamic_cleaning": { | "dynamic_cleaning": { | ||
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== Analysis results == | == Analysis results == | ||
| − | * High level analysis performed with gammapy | + | * High level analysis performed with gammapy v0.18.2 |
=== Alpha plot === | === Alpha plot === | ||
Latest revision as of 14:36, 16 February 2022
Contents
Overview[edit]
- Source-dependent analysis using LSTCHAIN v0.7.5 and LSTCHAIN v0.7.3 in the stage of R0 to DL1 for MC and real data.
- Cleaning method tail cut 84 and dynamic cleaning.
- Observations used in the analysis: 5580-5584, 5630-5639 and 5696-5704.
- Results presented in the LST General meeting (Nov. 2021), link here.
Monte Carlo information[edit]
- Link to MC files used:
- - Particle types: gamma, proton
- - ZD (deg): 40
- - AZ (deg): 180
DL1 data[edit]
- LSTCHAIN v0.7.5
- - Source-dependent parameters added using script `lstchain_add_source_dependent_parameters.py`.
- - Dynamic cleaning applied using srcipt `lstchain_dl1ab.py`.
"dynamic_cleaning": {
"apply": true,
"threshold": 267,
"fraction_cleaning_intensity": 0.03
}
Real data[edit]
- Original DL1a files
/fefs/aswg/data/real/DL1/{20210809,20210810,20210812}/v0.7.3/tailcut84/dl1_LST-1.Run0XXXX.XXXX.h5
MC data[edit]
- 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
Random forest[edit]
- LSTCHAIN v0.7.5
- Source-dependent, dispnorm
/fefs/aswg/workspace/arnau.aguasca/scripts/_configs/XXXXXXXXX
DL1 to DL2 data[edit]
- LSTCHAIN v0.7.5
- Config file
/fefs/aswg/workspace/arnau.aguasca/scripts/_configs/XXXXXXXXX
DL3 data selection[edit]
- Quality cuts
"EventSelector": {
"filters": {
"intensity": [100, Infinity],
"width": [0, Infinity],
"length": [0, Infinity],
"r": [0, 1],
"wl": [0.1, 1],
"leakage_intensity_width_2": [0, 0.2]
}
},
"DL3FixedCuts": {
"fixed_gh_cut": 0.6,
"fixed_alpha_cut": 20,
"allowed_tels": [1]
}
High-level analysis[edit]
DL2 to DL3 stage and IRF production performed using Seiya's fork of LSTCHAIN. Repository used: https://github.com/aaguasca/cta-lstchain
- IRF: point-like, single-offset
/fefs/aswg/workspace/arnau.aguasca/scripts/_configs/RSOph/LSTGeneralMeeting/lstchain_dl3_config.json
- Produced DL3 files
/fefs/aswg/workspace/arnau.aguasca/remote_results/RSOph
Analysis results[edit]
- High level analysis performed with gammapy v0.18.2
Alpha plot[edit]
- Filters in EventSelector applied: None
Spectral results[edit]
Light curve results[edit]
Crab Check[edit]
Data reduction Specifications[edit]
Spectral results[edit]
