`numina.datamodel` — Model of data

class numina.datamodel.DataModel(name='UNKNOWN', mappings=None)

Model of the Data being processed

Parameters:

name (str) – Name of the DataModel
mappings (dict, optional) – A dictionary of str keys and values convertibles to FITSKeyExtractor

do_sky_correction(img): Perform sky correction

gather_info(dframe): Obtain a summary of information about the image.

gather_info_dframe(img): Obtain a summary of information about the image.

gather_info_hdu(hdulist): Obtain a summary of information about the image.

get_darktime(img): Obtain DARKTIME

get_data(img): Obtain the primary data from the image

get_exptime(img): Obtain EXPTIME

get_header(img): Obtain the primary header from the image

get_imgid(img)

Obtain a unique identifier of the image.

Parameters:: img (astropy.io.fits.HDUList) –
Returns:: Identification of the image
Return type:: str

get_quality_control(img): Obtain quality control flag from the image.

get_variance(img): Obtain the variance of the primary data from the image

class numina.datamodel.FITSKeyExtractor(values): Extract values from FITS images

numina.datamodel.get_imgid(img, prefix=True)

Obtain a unique identifier of the image.

Parameters:: img (astropy.io.fits.HDUList) –
Returns:: Identification of the image
Return type:: str

numina.datamodel.get_imgid_header(hdr, prefix=True)

Obtain a unique identifier of the image.

Parameters:: hdr (astropy.io.fits.Header) –
Returns:: Identification of the image
Return type:: str