Python Analysis Roadmap

FITs pipeline - June 2021

• Processing raw TM to LB, L0, L1 fits files (L1 to L2 IDL for now)
• Packages: STIXcore
• Inputs: raw TM, spice kernels, SOC data, IDB

Basic science (count-rate) - July 2021

• Search, download and plot count-rate data for all products (expected inputs are L1/L2 fits)
• Combine data from requests and transform data from one product to another e.g. compressed pixel data to visibly or spectrogram
• Slice and combine time/energy bins
• Apply energy offsets and per detector energy channels corrections
• Packages: stixpy
• Inputs: ELUTS, Energy offsets, FITs files

Science (photon) - August 2021 😅

• Fit observed count-rate spectra to to solar models to obtain photon spectrum
• Build spectrometer response matrix, detector response matrix, detector model (based on IDL code)
  • For initial versions could use high res IDL generated DRMs
• Create model photon spectrum, pass through SRM to obtain count-rate for model and then fits to obtain parameters
• Direct inversion ?
• Packeges:
  • stixpy - main interface
  • rontogen? - possibly extend need to add versioned xcom data + detector model
  • STIXcore - build per-detector SRM
  • sunxpec - solar model and fitting?
• Inputs:

Basic Imaging - December 2021

• Apply phase correction to
• Packages:
  • stixpy - main interface will use STIXcore and xrayvsion
  • STIXcore - non-visibility based imaging
  • xrayvision - visibility imaging
• Inputs: