jwst_snowblind_mask

grizli.utils.jwst_snowblind_mask(rate_file, require_prefix='jw', max_fraction=0.3, new_jump_flag=1024, min_radius=4, growth_factor=1.5, unset_first=True, verbose=True, skip_after_cal_version='1.14', **kwargs)

Update JWST DQ mask with snowblind. See https://github.com/mpi-astronomy/snowblind.

Requires snowblind > 0.1.2, which currently is just in the fork at https://github.com/gbrammer/snowblind.

Parameters

rate_filestr

Filename of a rate.fits exposure

require_prefixstr

Only run if rate_file.startswith(require_prefix)

max_fractionfloat

Maximum allowed fraction of flagged pixels relative to the total

new_jump_flagint

Integer DQ flag of identified snowballs

min_radiusint

Minimum radius of JUMP_DET flagged groups of pixels

growth_factorfloat

Scale factor of the DQ mask

unset_firstbool

Unset the new_jump_flag bit of the DQ array before processing

verbosebool

Whether to print verbose output

kwargsdict

Additional keyword arguments to be passed to snowblind.SnowblindStep.call()

Returns

dqarray-like

Image array with values new_jump_flag with identified snowballs

mask_fracfloat

Fraction of masked pixels