Quickstart

Installation

Installation should be simple through PyPI, and the package is pure python.

python -m pip install irispreppy

Simplest Usage

Once installed, the simplest way to radiometrically calibrate and point spread function deconvolve your data is like so,

from astropy.io import fits
import irispreppy as ip

f=fits.open("iris_raster.fits")
frc=ip.radiometric_calibrate(f)
frcd=ip.deconvolve(frc)

The files returned by irispreppy are structured identically to that of Level-2 IRIS fits.

Saving files

In order to radiometrically calibrate, point spread function deconvolve, and save your data you can do,

from astropy.io import fits
import irispreppy as ip

f=fits.open("iris_raster.fits")
ip.calibrate_and_save(f)
frc=fits.open("iris_raster_rc.fits")
ip.deconvolve_and_save(frc)
frcd=fits.open("iris_raster_rcd.fits")

Where we also reopen the data that has been saved to disk.

calibrate_and_save will append _rc to the end of your filename, and deconvolve will append _d to your filename, unless it has _rc on the end already, where it will append d. To change this behaviour, simply specify the filename (and path) like so,

from astropy.io import fits
import irispreppy as ip

f=fits.open("iris_raster.fits")
ip.calibrate_and_save(f, filename="iris_raster_calibrated.fits")
frc=fits.open("iris_raster_calibrated.fits")
ip.deconvolve_and_save(frc, filename="iris_raster_calibrated_and_deconvolved.fits")
frcd=fits.open("iris_raster_calibrated_and_deconvolved.fits"