Difference between revisions of "STIX Tutorials"

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m (STIX + Other Instruments)
(Data Acquisition)
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== Data Acquisition ==
 
== Data Acquisition ==
 
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=== Accessing data from STIX data center ===
STIX data can be downloaded via the Data Center. A Python API is available: [https://github.com/drhlxiao/stixdcpy stixdcpy]. This allows querying and downloading the following data:
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STIX data can be downloaded from the Data Center. A Python API is available: [https://github.com/drhlxiao/stixdcpy stixdcpy]. This allows querying and downloading the following data:
  
 
* Quick-look light curves
 
* Quick-look light curves
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* Science data
 
* Science data
 
* Energy calibration data
 
* Energy calibration data
* Auxiliary data (ephemeris, pointing, light travel time, etc)
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* Auxiliary data (ephemeris, pointing, light travel time, etc.)
 
* STIX solar flare list
 
* STIX solar flare list
  
 
[https://github.com/drhlxiao/stixdcpy/blob/master/examples/tutorial.ipynb Tutorial]
 
[https://github.com/drhlxiao/stixdcpy/blob/master/examples/tutorial.ipynb Tutorial]
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=== Accessing data from STIX archive server ===
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*
  
 
== Data Preparation ==
 
== Data Preparation ==

Revision as of 10:57, 14 June 2022

This is a collection of tutorials prepared by the STIX team and other partners.

1 Data Acquisition

1.1 Accessing data from STIX data center

STIX data can be downloaded from the Data Center. A Python API is available: stixdcpy. This allows querying and downloading the following data:

  • Quick-look light curves
  • Housekeeping data
  • Science data
  • Energy calibration data
  • Auxiliary data (ephemeris, pointing, light travel time, etc.)
  • STIX solar flare list

Tutorial

1.2 Accessing data from STIX archive server

2 Data Preparation

[ (coming soon) Troubleshooting STIX image maps - IDL]

[ (coming soon) Troubleshooting STIX image maps - Python]

3 Spectroscopy

[STIX OSPEX tutorial]

[STIX XSPEC tutorial]

4 Imaging

[Data Center imaging tutorial]

[IDL imaging tutorial]

5 STIX + Other Instruments

5.1 Checking for joint visibility

[using DRMS or SPICE kernels, coordinate transformation tutorial]

5.2 Multiple instrument spectroscopy

XSPEC/pyXSPEC tutorial

5.3 Reprojecting images

[Image reprojection tutorial]

[composite map tutorial]