RampFitStep

class jwst.ramp_fitting.RampFitStep(name=None, parent=None, config_file=None, _validate_kwds=True, **kws)[source]

Bases: JwstStep

This step fits a straight line to the value of counts vs. time to determine the mean count rate for each pixel.

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

`algorithm`
`class_alias`
`reference_file_types`
`spec`
`weighting`

Methods Summary

process(input)

This is where real work happens.

Attributes Documentation

algorithm = 'ols'

class_alias = 'ramp_fit'

reference_file_types: ClassVar = ['readnoise', 'gain']

spec

int_name = string(default='')
save_opt = boolean(default=False) # Save optional output
opt_name = string(default='')
suppress_one_group = boolean(default=True)  # Suppress saturated ramps with good 0th group
maximum_cores = string(default='1') # cores for multiprocessing. Can be an integer, 'half', 'quarter', or 'all'

weighting = 'optimal'

Methods Documentation

process(input)[source]: This is where real work happens. Every Step subclass has to override this method. The default behaviour is to raise a NotImplementedError exception.