OutlierDetectionStep

class jwst.outlier_detection.OutlierDetectionStep(name=None, parent=None, config_file=None, _validate_kwds=True, **kws)[source]

Bases: JwstStep

Flag outlier bad pixels and cosmic rays in DQ array of each input image.

Input images can be listed in an input association file or already opened with a ModelContainer. DQ arrays are modified in place.

Parameters:

input_data (asn file or ModelContainer) – Single filename association table, or a datamodels.ModelContainer.

Create a Step instance.

Parameters:
  • name (str, optional) – The name of the Step instance. Used in logging messages and in cache filenames. If not provided, one will be generated based on the class name.

  • parent (Step instance, optional) – The parent step of this step. Used to determine a fully-qualified name for this step, and to determine the mode in which to run this step.

  • config_file (str or pathlib.Path, optional) – The path to the config file that this step was initialized with. Use to determine relative path names of other config files.

  • **kws (dict) – Additional parameters to set. These will be set as member variables on the new Step instance.

Attributes Summary

class_alias

spec

Methods Summary

check_input()

Use this method to determine whether input is valid or not.

process(input_data)

Perform outlier detection processing on input data.

Attributes Documentation

class_alias = 'outlier_detection'
spec
weight_type = option('ivm','exptime',default='ivm')
pixfrac = float(default=1.0)
kernel = string(default='square') # drizzle kernel
fillval = string(default='INDEF')
nlow = integer(default=0)
nhigh = integer(default=0)
maskpt = float(default=0.7)
snr = string(default='5.0 4.0')
scale = string(default='1.2 0.7')
backg = float(default=0.0)
kernel_size = string(default='7 7')
threshold_percent = float(default=99.8)
ifu_second_check = boolean(default=False)
save_intermediate_results = boolean(default=False)
resample_data = boolean(default=True)
good_bits = string(default="~DO_NOT_USE")  # DQ flags to allow
scale_detection = boolean(default=False)
search_output_file = boolean(default=False)
allowed_memory = float(default=None)  # Fraction of memory to use for the combined image
in_memory = boolean(default=False)

Methods Documentation

check_input()[source]

Use this method to determine whether input is valid or not.

process(input_data)[source]

Perform outlier detection processing on input data.