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data:data_analysis_manual [2024/01/17 16:26]
Peter Young [Units and uncertainties]
data:data_analysis_manual [2024/03/29 14:20]
eric buchlin Update find data
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 <WRAP center round important 70%> <WRAP center round important 70%>
-This manual is very preliminary,​ please be patient or help adding what is missing.+This manual is preliminary,​ please be patient or help adding what is missing.
 </​WRAP>​ </​WRAP>​
  
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     - Run SPICE\_CAT     - Run SPICE\_CAT
   * The catalogue of all files in a specific data release is included with the data release (see below). This version of the catalogue also include additional columns for the list of windows, the file size, and a reference to the dark used for on-ground dark subtraction.   * The catalogue of all files in a specific data release is included with the data release (see below). This version of the catalogue also include additional columns for the list of windows, the file size, and a reference to the dark used for on-ground dark subtraction.
-  * How to use it in Python: ​a [[data:​data_analysis_manual:​read_catalog_python|simple script]] ​can be used to read it as a Python pandas DataFrame object. The same can be done using the ''​Catalog''​ object from the [[https://​sospice.readthedocs.io/​en/​stable/​|''​sospice''​ Python module]] (see examples in [[https://​git.ias.u-psud.fr/​spice/​data-analysis-club/​-/​blob/​main/​20230627-sospice/​sospice-demo.ipynb|this tutorial]]).+  * How to use it in Python: ​the catalogue ​can be read as a ''​Catalog''​ object from the [[https://​sospice.readthedocs.io/​en/​stable/​|''​sospice''​ Python module]], and then used to find observations with specific characteristics ​(see examples in [[https://​git.ias.u-psud.fr/​spice/​data-analysis-club/​-/​blob/​main/​20230627-sospice/​sospice-demo.ipynb|this tutorial]]).
   * How to use it in IDL: [[data:​data_analysis_manual#​the_spice_catalog|see below]]   * How to use it in IDL: [[data:​data_analysis_manual#​the_spice_catalog|see below]]
  
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   * All L1 and L2 files with their latest versions (at a given date) are collected in a data release   * All L1 and L2 files with their latest versions (at a given date) are collected in a data release
-  * The releases are provided under https://​spice.osups.universite-paris-saclay.fr/​spice-data/​+  * The releases are provided under https://​spice.osups.universite-paris-saclay.fr/​spice-data/​, in subdirectories named ''​release-{release_tag}/''​ 
 +  * The latest release tag can be obtained from the content of [[https://​spice.osups.universite-paris-saclay.fr/​spice-data/​metadata/​latest-release.txt|latest-release.txt]]
   * Released files are also sent to the SOAR (see below)   * Released files are also sent to the SOAR (see below)
   * The latest release is updated with new data as they arrive (and after a superficial validation step).   * The latest release is updated with new data as they arrive (and after a superficial validation step).
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 SOAR: SOAR:
-  * [[https://​soar.esac.esa.int/​|SOAR]] ([[https://​issues.cosmos.esa.int/​solarorbiterwiki/​display/​SOSP/​SOAR+(Solar+Orbiter+Archive)+-+How+to+Use|how to use it]], [[https://​www.cosmos.esa.int/​web/​soar/​home|SOAR help pages]])+  * [[https://​soar.esac.esa.int/​|SOAR]] ([[https://​issues.cosmos.esa.int/​solarorbiterwiki/​display/​SOSP/​SOAR+(Solar+Orbiter+Archive)+-+How+to+Use|how to use it]], [[https://​www.cosmos.esa.int/​web/​soar/​home|SOAR help pages]], [[https://​www.cosmos.esa.int/​web/​soar/​inventory-plots|SOAR data coverage]])
   * SOAR has a TAP interface that can be used for automated queries ([[https://​www.cosmos.esa.int/​web/​soar/​tables-views-and-columns|documentation of available tables]])   * SOAR has a TAP interface that can be used for automated queries ([[https://​www.cosmos.esa.int/​web/​soar/​tables-views-and-columns|documentation of available tables]])
   * The ''​sunpy-soar''​ [[https://​github.com/​sunpy/​sunpy-soar/​|Python module]] uses this TAP interface for queries through SunPy/Fido   * The ''​sunpy-soar''​ [[https://​github.com/​sunpy/​sunpy-soar/​|Python module]] uses this TAP interface for queries through SunPy/Fido
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   * Quicklook archive (to be developed)   * Quicklook archive (to be developed)
   * [[https://​github.com/​ITA-Solar/​solo-spice-ql/​wiki/​spice_xfiles|Quicklooks procedure in SSW]]   * [[https://​github.com/​ITA-Solar/​solo-spice-ql/​wiki/​spice_xfiles|Quicklooks procedure in SSW]]
-  * A quicklook app (in Python) is in development at IAS.+  * A [[https://​git.ias.u-psud.fr/​spice/​data_quicklook|quicklook app]] (in Python) is in development at IAS.
   * [[https://​git.ias.u-psud.fr/​spice/​pre-analysis/​|"​Pre-analysis"​]]:​ already processed quicklook images (per STP)   * [[https://​git.ias.u-psud.fr/​spice/​pre-analysis/​|"​Pre-analysis"​]]:​ already processed quicklook images (per STP)
  
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   * Released SPICE files are ingested from SOAR to the VSO ([[https://​sdac.virtualsolar.org/​cgi/​search|search form]])   * Released SPICE files are ingested from SOAR to the VSO ([[https://​sdac.virtualsolar.org/​cgi/​search|search form]])
   * Accessible through IDL/SSW and Python/Fido   * Accessible through IDL/SSW and Python/Fido
 +  * <note warning>​As of 2024-03-29, the SPICE files on VSO are old files from release 3.0 only</​note>​
  
 ===== Tips and Advice on Analyzing SPICE Data ===== ===== Tips and Advice on Analyzing SPICE Data =====
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 ==== Burn-in Effects ==== ==== Burn-in Effects ====
  
-The SPICE detectors have microchannel plates (MCPs). Over time, the sensitivity of MCPs decreases at the locations of strong emission lines. This effect is referred to as "​burn-in"​ and results in a flat-top or "​self-reversal"​ to the line profile. This has already been noticed for the C III 977 line. As of November 2023internal ​level-2 files are corrected for burn-in for six lines (files planned to be part of release 4.0). The effects of burn-in continue to be monitored, particularly for weaker lines for which a correction is not currently available.+The SPICE detectors have microchannel plates (MCPs). Over time, the sensitivity of MCPs decreases at the locations of strong emission lines. This effect is referred to as "​burn-in"​ and results in a flat-top or "​self-reversal"​ to the line profile. This has already been noticed for the C III 977 line. From data release 4.0, level-2 files are corrected for burn-in for six lines. The effects of burn-in continue to be monitored, particularly for weaker lines for which a correction is not currently available.
  
 The lines that are being corrected (as of 2023-11) are: N IV 76.5 nm, Ne VIII 77.0 nm, Ne VIII 78.0 nm, C III 97.7 nm, Lyman-beta 102.6 nm, and O VI 103.2 nm. The lines that are being corrected (as of 2023-11) are: N IV 76.5 nm, Ne VIII 77.0 nm, Ne VIII 78.0 nm, C III 97.7 nm, Lyman-beta 102.6 nm, and O VI 103.2 nm.
data/data_analysis_manual.txt · Last modified: 2024/03/29 14:21 by eric buchlin