Step Arguments¶
The outlier_detection
step has the following optional arguments
that control the behavior of the processing:
--weight_type
(string, default=’exptime’)The type of data weighting to use during resampling; options are ‘exptime’, ‘error’, and ‘None’.
--pixfrac
(float, default=1.0)The pixel fraction used during resampling; valid values go from 0.0 to 1.0.
--kernel
(string, default=’square’)The form of the kernel function used to distribute flux onto a resampled image. Options are ‘square’, ‘turbo’, ‘point’, ‘lanczos’, and ‘tophat’.
--fillval
(string, default=’INDEF’)The value to assign to resampled image pixels that have zero weight or do not receive any flux from any input pixels during drizzling. Any floating-point value, given as a string, is valid. A value of ‘INDEF’ will use the last zero weight flux.
--nlow
(integer, default=0)The number of low values in each pixel stack to ignore when computing the median value.
--nhigh
(integer, default=0)The number of high values in each pixel stack to ignore when computing the median value.
--maskpt
(float, default=0.7)The percent of maximum weight to use as lower-limit for valid data; valid values go from 0.0 to 1.0.
--grow
(integer, default=1)The radius, in pixels, from a bad pixel for neighbor rejection.
--snr
(string, default=’4.0 3.0’)The signal-to-noise values to use for bad pixel identification. Valid values are a pair of floating-point values in a single string.
--scale
(string, default=’0.5 0.4’)The scaling factor applied to derivative used to identify bad pixels. Valid values are a pair of floating-point values in a single string.
--backg
(float, default=0.0)User-specified background value to apply to the median image.
--save_intermediate_results
(boolean, default=False)Specifies whether or not to save any intermediate products created during step processing.
--resample_data
(boolean, default=True)Specifies whether or not to resample the input images when performing outlier detection.
--good_bits
(string, default=”~DO_NOT_USE”)The DQ bit values from the input image DQ arrays that should be considered ‘good’ when building the weight mask. See DQ flag Parameter Specification for details.
--scale_detection
(bool, default=False)Specifies whether or not to rescale the individual input images to match total signal when doing comparisons.
--allowed_memory
(float, default=None)Specifies the fractional amount of free memory to allow when creating the resampled image. If
None
, the environment variableDMODEL_ALLOWED_MEMORY
is used. If not defined, no check is made. If the resampled image would be larger than specified, anOutputTooLargeError
exception will be generated.For example, if set to
0.5
, only resampled images that use less than half the available memory can be created.