Difference between revisions of "Fast Offline Analysis Template"
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** Date (time of observation h) | ** Date (time of observation h) | ||
***ZD range (deg): Zenith Range | ***ZD range (deg): Zenith Range | ||
| − | *** | + | ***Observations: (see example below) |
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| − | + | 2024-02-28: [16895, 16896, 16897, 16898] | |
| − | + | 2024-03-03: [16912, 16913, 16917, 16918, 16919, 16920, 16921, 16922, 16923, 16924, 16925, 16926, 16927, 16928, 16929, 16930, 16931, 16932] | |
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| − | *Data quality selection not | + | *Data quality selection: it is not mandatory to apply data selection for these preliminary analyses. But in case you do it and select good-quality runs, please also add the plot in which the |
| − | *Joint observations with MAGIC? : | + | *Joint observations with MAGIC?: |
| − | *Information on data-taking (observations summaries): https://www.lst1.iac.es/datacheck/observation_overview/2024/03/run_summary_2024_03_17.pdf | + | *Information on data-taking (observations summaries): Was there any problem with data-taking (check ELOG and e.g. add link https://www.lst1.iac.es/datacheck/observation_overview/2024/03/run_summary_2024_03_17.pdf) |
==General analysis information== | ==General analysis information== | ||
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==Monte Carlo information== | ==Monte Carlo information== | ||
| − | Write below the MC production | + | Write below the MC production ID among the existing MC |
* All-sky MC production used: (e.g. 20230901_v0.10.4_allsky_base_prod) | * All-sky MC production used: (e.g. 20230901_v0.10.4_allsky_base_prod) | ||
** Declination line (training): dec_XXXX | ** Declination line (training): dec_XXXX | ||
| Line 62: | Line 51: | ||
===Random forest=== | ===Random forest=== | ||
| − | Path to the models used: | + | Path to the models used: (example below) |
/fefs/aswg/data/models/AllSky/20230901_v0.10.4_allsky_base_prod/dec_3476 | /fefs/aswg/data/models/AllSky/20230901_v0.10.4_allsky_base_prod/dec_3476 | ||
Revision as of 14:27, 2 May 2024
Contents
Fast offline analysis template
Name your fast offline analysis wiki page following the scheme:
Fast_Offline_Analysis_SourceName_Month(s)_Year_ObsPeriod
where:
- ObsPeriod should be e.g. P063
For example: https://www.lst1.iac.es/wiki/index.php/Fast_Analysis_OP313_ToO_Feb_Mar_2024_P062
General information
- Name of the source:
- Brief description of the source:
- Object type :
- Redshift (z) :
- Other relevant information
- RA: XX XX XX.XXX (hh mm ss), Dec: YY YY YY.YYY (dd mm ss)
- RA, Dec in deg (ICRS): XX.XX, YY.YY
- Analysis by:
- Analyzer 1 name (Institute - email)
- Analyzer 2 name (Institute - email)
Data-taking information
- Dates of data-taking:
- Date (time of observation h)
- ZD range (deg): Zenith Range
- Observations: (see example below)
- Date (time of observation h)
2024-02-28: [16895, 16896, 16897, 16898] 2024-03-03: [16912, 16913, 16917, 16918, 16919, 16920, 16921, 16922, 16923, 16924, 16925, 16926, 16927, 16928, 16929, 16930, 16931, 16932]
- Data quality selection: it is not mandatory to apply data selection for these preliminary analyses. But in case you do it and select good-quality runs, please also add the plot in which the
- Joint observations with MAGIC?:
- Information on data-taking (observations summaries): Was there any problem with data-taking (check ELOG and e.g. add link https://www.lst1.iac.es/datacheck/observation_overview/2024/03/run_summary_2024_03_17.pdf)
General analysis information
- source-independent analysis
- lstchain version: (e.g. v0.10.10)
- DL1b standard production (v0.10/tailcut84), run-wise merged files in:
/fefs/aswg/data/real/DL1/YYYYMMDD/v0.10/tailcut84/dl1_LST-1.Run?????.h5
Monte Carlo information
Write below the MC production ID among the existing MC
- All-sky MC production used: (e.g. 20230901_v0.10.4_allsky_base_prod)
- Declination line (training): dec_XXXX
Random forest
Path to the models used: (example below)
/fefs/aswg/data/models/AllSky/20230901_v0.10.4_allsky_base_prod/dec_3476
DL2 data
Config file:
Files in:
/fefs/aswg/workspace/daniel.morcuende/data/real/DL2/OP313_ToO_Dec2023/dec_3476
DL3 data & IRF
"EventSelector": {
"filters": {
"intensity": [50, Infinity],
"width": [0, Infinity],
"length": [0, Infinity],
"r": [0, 1],
"wl": [0.01, 1],
"leakage_intensity_width_2": [0, 1],
"event_type": [32, 32]
}
},
"DL3Cuts": {
"min_event_p_en_bin": 100,
"min_gh_cut": 0.1,
"max_gh_cut": 0.95,
"min_theta_cut": 0.0,
"max_theta_cut": 0.2,
"fill_theta_cut": 0.2,
"allowed_tels": [1]
},
- 70 % efficiency for both gammaness and theta gamma-ray selection cuts
- Point-like IRF
High-level analysis
- Gammapy 1.1
- 1D analysis (point-like IRF)
Analysis Results
Theta2 plot
Settings:
- Theta2 cut for signal extraction: X.XX deg2
- Normalization range: X.X - Y.Y deg2
- Number of off positions:
- Energy range:
Daily results
- YYYY-MM-DD
Stacked observations
Significance and Excess sky maps
Spectral results
Include the spectral parameters (see example below) and the SED plot (best-fit model + spectral flux points)
For example:
type name value unit error min max frozen is_norm link -------- ---------- ---------- -------------- --------- --------- --- ------ ------- ---- spectral index 2.8255e+00 3.298e-01 1.000e+00 nan False False spectral amplitude 1.7730e-09 TeV-1 s-1 cm-2 4.988e-10 nan nan False True spectral reference 1.0000e+02 GeV 0.000e+00 nan nan True False
