Difference between revisions of "Fast Offline Analysis Template"
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+ | Go back to [[Logbook_of_ToO]] | ||
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=Fast offline analysis template= | =Fast offline analysis template= | ||
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2024-02-28: [16895, 16896, 16897, 16898] | 2024-02-28: [16895, 16896, 16897, 16898] | ||
− | |||
− | *Data quality selection: it is not mandatory to apply data selection for these preliminary analyses. But | + | *Data quality selection: it is not mandatory to apply data selection for these preliminary analyses. But if you do it and select good-quality runs, please also add the plot in which the distribution of the different quality parameters are shown together with the limit values. |
*Joint observations with MAGIC?: | *Joint observations with MAGIC?: | ||
− | *Information on data-taking (observations summaries): | + | *Information on data-taking (observations summaries): Write here if there was any problem with data-taking. (check ELOG for weather info, rate values 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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Write below the MC production ID among the existing MC | 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 | |
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==DL2 data== | ==DL2 data== | ||
− | + | The config file to produce the DL2 files must be the one used to produce the RF models. Should be located together with model's files. | |
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==DL3 data & IRF== | ==DL3 data & IRF== | ||
+ | |||
+ | (Specify the path to your DL3 files so the other FOA or anyone can also use the files for performing a stacked analysis with all available DL3 data) | ||
+ | |||
+ | Files in: | ||
+ | /fefs/aswg/workspace/your.name/files/to/your/dl3/files | ||
+ | |||
+ | Configuration used for producing IRF/DL3 files (you can leave standard settings): | ||
"EventSelector": { | "EventSelector": { | ||
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}, | }, | ||
− | * 70 % efficiency for both gammaness and theta gamma-ray selection cuts | + | * Standard cuts: Intensity > 50 p.e., 70 % efficiency for both gammaness and theta gamma-ray selection energy-dependent cuts. |
− | * Point-like IRF | + | * Recommended to produce unzipped DL3 files since the Gammapy analysis Gammapy is faster. |
+ | * You can set the max theta cut (and filling value to the same value) to e.g. 0.2 deg. In this way, you can use more off-regions in Gammapy. | ||
+ | * Point-like IRF. | ||
− | == High-level analysis | + | == High-level analysis and results == |
+ | === Analysis settings === | ||
* Gammapy version: 1.1 | * Gammapy version: 1.1 | ||
* 1D analysis (point-like IRF) | * 1D analysis (point-like IRF) | ||
− | |||
− | |||
=== Theta2 plot === | === Theta2 plot === |
Latest revision as of 04:19, 25 September 2024
Go back to Logbook_of_ToO
Contents
Fast offline analysis template[edit]
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[edit]
- 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[edit]
- 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]
- Data quality selection: it is not mandatory to apply data selection for these preliminary analyses. But if you do it and select good-quality runs, please also add the plot in which the distribution of the different quality parameters are shown together with the limit values.
- Joint observations with MAGIC?:
- Information on data-taking (observations summaries): Write here if there was any problem with data-taking. (check ELOG for weather info, rate values and e.g. add link https://www.lst1.iac.es/datacheck/observation_overview/2024/03/run_summary_2024_03_17.pdf)
General analysis information[edit]
- 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[edit]
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[edit]
Path to the models used: (example below)
/fefs/aswg/data/models/AllSky/20230901_v0.10.4_allsky_base_prod/dec_3476
DL2 data[edit]
The config file to produce the DL2 files must be the one used to produce the RF models. Should be located together with model's files.
Files in:
/fefs/aswg/workspace/daniel.morcuende/data/real/DL2/OP313_ToO_Dec2023/dec_3476
DL3 data & IRF[edit]
(Specify the path to your DL3 files so the other FOA or anyone can also use the files for performing a stacked analysis with all available DL3 data)
Files in:
/fefs/aswg/workspace/your.name/files/to/your/dl3/files
Configuration used for producing IRF/DL3 files (you can leave standard settings):
"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] },
- Standard cuts: Intensity > 50 p.e., 70 % efficiency for both gammaness and theta gamma-ray selection energy-dependent cuts.
- Recommended to produce unzipped DL3 files since the Gammapy analysis Gammapy is faster.
- You can set the max theta cut (and filling value to the same value) to e.g. 0.2 deg. In this way, you can use more off-regions in Gammapy.
- Point-like IRF.
High-level analysis and results[edit]
Analysis settings[edit]
- Gammapy version: 1.1
- 1D analysis (point-like IRF)
Theta2 plot[edit]
Settings:
- Theta2 cut for signal extraction: X.XX deg2
- Normalization range: X.X - Y.Y deg2
- Number of off positions:
- Energy range:
Daily results[edit]
- YYYY-MM-DD
Stacked observations[edit]
Significance and Excess sky maps[edit]
Spectral results[edit]
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