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