Welcome to irispreppy’s documentation

Contents:

• Quickstart
  • Installation
  • Simplest Usage
  • Saving files
• irispreppy API Documentation
  • Submodules
  • irispreppy.radcal.radcal module
  • irispreppy.radcal.iris_get_response module
  • irispreppy.radcal.calsave module
  • irispreppy.psf.deconvolve module
  • irispreppy.psf.decsave module

Introduction

irispreppy is built to perform radiometric calibration and point spread function deconvolution of data from the spectrograph onboard the Interface Region Imaging Spectrograph (IRIS).

The radiometric calibration follows the procedure laid out in section 5.2 of IRIS Technical Notes 26 (ITN 26; html; pdf), and more generally IRIS Technical Notes 24 (ITN 24; pdf).

The point spread function deconvolution is done using either the Richardson-Lucy deconvolution method, or through division in Fourier space. The number of default Richardson-Lucy iterations used is discussed in Courrier et al. (2018). Care is taken to account for the spatial binning factor such that the deconvolution is calculated correctly (not present in the IDL version).

Indices and tables

• Index

• Module Index

• Search Page

Special Thanks

Dr Graham S. Kerr: For the initial IDL to Python translation of the deconvolution script.

Dr Christopher M.J. Osborne: For general tips on how to package irispreppy.

Dr Tiago M.D. Pereira: For responding to my one email about a cryptic variable in ITN26.