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Calibration Access and Data Handbook

Description

This CCF component is used by the SAS. The LargeScaleSens file describes the large scale response uniformity of the combination filter and detector. The large scale flat field correction is applied to an image by multiplication, thus the inverse normalized sensitivity is stored in the CCF component.

The LargeScaleSens file maps the relative sensitivity variations over longer spatial scale for the combination of a filter element and the detector. The FOV is mapped at a coarser grid. An interpolation of the large-scale map is required in order to obtain a map at a finer grid.

The LargeScaleSens file consists of 12 image extensions. Generally there is one extension associated with each filter element, except for the grism where there is one extension for the zero and first order respectively. In total there are 12 image extension contained in the LargeScaleSens file.

FILTER-U	large scale response of U-filter
FILTER-B	large scale response of B-filter
FILTER-V	large scale response of B-filter
FILTER-UVW1	large scale response of UVW1-filter
FILTER-UVM2	large scale response of UVM2-filter
FILTER-UVW2	large scale response of UVW2-filter
FILTER-WHITE	large scale response of WHITE-filter
FILTER-MAGNI	large scale response of MAGNI-filter
FILTER-GRISM1	large scale response of GRISM1 1st order
FILTER-GRISM2	large scale response of GRISM2 1st order
FILTER-GRISM10	large scale response of GRISM1 0th order
FILTER-GRISM20	large scale response of GRISM2 0th order

The format of each extensions is as listed below:

Image: FILTER-FilterId

keyword	keyword type	keyword unit	keyword value	comment
BITPIX		not applicable	-32
NAXIS	I	not applicable	2
NAXIS1	I	not applicable	may vary
NAXIS2	I	not applicable	may vary
CTYPE1	S	not applicable	rawx
CRVAL1	E	pixel	may vary
CDELT1	E	pixel	may vary
CTYPE2	S	not applicable	rawy
CRVAL2	E	pixel	may vary
CDELT2	E	pixel	may vary
AVGERAGE	E	not applicable	may vary	avg. flatfield value of good pixel
DAVGERAGE	E	not applicable	may vary	1$\sigma$ uncertainty of AVERAGE
PIXERR	E	%	may vary	avg. % of 1$\sigma$ uncerainty of
				a single pixel value