Functions

refstis.functions.RemoveIfThere(item)[source]

Remove a file only if it already exists

Parameters:

item (str) – file to be removed

Examples

>>> RemoveIfThere('/path/to/file.txt')
refstis.functions.apply_dark_correction(filename, expstart)[source]

Perform temperature scaling to input dark file

All science extensions in the input filename will be scaled to the reference temperatue of 18.0 c.

Parameters:
  • filename (str) – full path to input FITS file

  • expstart (str) – start time in MJD of the dataset

refstis.functions.bd_calstis(joinedfile, thebiasfile=None)[source]

Run CalSTIS on the joined file.

Header keywords will be set for ocrreject to work correctly and not flag regions outside the original aperture: APERTURE –> 50CCD APER_FOV –> ‘50x50’ DARKCORR –> ‘OMIT’ FLATCORR –> ‘OMIT’

Parameters:
  • joinedfile (str) – join of multiple input darks

  • thebiasfile (str, bool) – the biasfile to be subtracted by basic2d

refstis.functions.bd_crreject(joinedfile)[source]

Check if cosmic-ray rejection has been performed on input file

if cosmic-ray rejection has already been done on the input bias image, skip all calstis-related calibration steps

refstis.functions.bias_subtract_data(filename, biasfile, outdir='')[source]

Perform bias subtraction on input dataset

basic2d from calstis will be run on the input dataset with the steps DQICORR, BLEVCORR, and BIASCORR set to perform.

Parameters:
  • filename (str) – full path to input FITS file

  • biasfile (str) – full path to the bias FITS file to be subtracted

  • outdir (str, optional) – if specified, the directory to send the bias-subtracted output file

Returns:

filename – full_path to the bias subtracted file

Return type:

str

refstis.functions.count_imsets(file_list)[source]

Count the total number of imsets in a file list.

The total number of imsets is counted by dividing the total number of extensions (NEXTEND) by 3 (SCI, ERR, DQ).

Parameters:

file_list (list) – list of all files to be counted

Returns:

total – number of imsets

Return type:

int

refstis.functions.get_keyword(file_list, keyword, ext=0)[source]

Return the value from a header keyword over a list of files.

if the value is not consistent accross the input files, an assertion error will be raised

refstis.functions.make_path_safe(filename)[source]

Make a full path to file safe for use in FITS headers.

For full paths that are less than 67 characters, the filename is simply returned. When the full path is equal to or greater than 67, then the path is inserted into the environment as ‘refdir’ and the filename is returned as ‘refdir$filename’. This will prevent the filename from being split accross multiple FITS keywords, and is a convention understood by many tasks/pipelines.

Parameters:

filename (str) – Full path + name to the file.

Returns:

filename – Safe filename that can fit in a single FITS keyword.

Return type:

str

Examples

>>> make_path_safe('/short/path/reference_file.fits')
/short/path/reference_file.fits
>>> make_path_safe('/really/really/really/really/really/really/really/really/reference_file.fits')
refdir$reference_file.fits
refstis.functions.make_residual(mean_bias, kern=(3, 15))[source]

Create residual image

Median filter the median with a 15 x 3 box and subtract from the mean to produce the residual image.

refstis.functions.msjoin(imset_list, out_name='joined_out.fits')[source]

Replicate msjoin functionality in pure python

refstis.functions.normalize_crj(filename)[source]

Normalize the input filename by exptime / gain and flush hdu

refstis.functions.refaver(reffiles, combined_name)[source]

Average two reference files together using itools msarith.

Parameters:
  • reffiles (list) – List of reference files to be averaged together

  • combined_name (str) – Output name of the combined file

refstis.functions.update_header_from_input(filename, input_list)[source]

Updates header of output file using keywords from the input data

If a header keyword is not consistent in this step, an error will be raised.