Extract1dStep
- class jwst.extract_1d.Extract1dStep(name=None, parent=None, config_file=None, _validate_kwds=True, **kws)[source]
Bases:
JwstStepExtract a 1D spectrum from 2D data.
Create a
Stepinstance.- 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
Methods Summary
process(input_data)Execute the step.
Attributes Documentation
- class_alias = 'extract_1d'
- reference_file_types: ClassVar = ['extract1d', 'apcorr', 'pastasoss', 'specprofile', 'speckernel', 'psf']
- spec
subtract_background = boolean(default=None) # subtract background? apply_apcorr = boolean(default=True) # apply aperture corrections? extraction_type = option("box", "optimal", None, default="box") # Perform box or optimal extraction use_source_posn = boolean(default=None) # use source coords to center extractions? position_offset = float(default=0) # number of pixels to shift source trace in the cross-dispersion direction model_nod_pair = boolean(default=True) # For optimal extraction, model a negative nod if possible optimize_psf_location = boolean(default=True) # For optimal extraction, optimize source location smoothing_length = integer(default=None) # background smoothing size bkg_fit = option("poly", "mean", "median", None, default=None) # background fitting type bkg_order = integer(default=None, min=0) # order of background polynomial fit log_increment = integer(default=50) # increment for multi-integration log messages save_profile = boolean(default=False) # save spatial profile to disk save_scene_model = boolean(default=False) # save flux model to disk save_residual_image = boolean(default=False) # save residual image to disk center_xy = float_list(min=2, max=2, default=None) # IFU extraction x/y center ifu_autocen = boolean(default=False) # Auto source centering for IFU point source data. bkg_sigma_clip = float(default=3.0) # background sigma clipping threshold for IFU ifu_rfcorr = boolean(default=True) # Apply 1d residual fringe correction (MIRI MRS only) ifu_set_srctype = option("POINT", "EXTENDED", None, default=None) # user-supplied source type ifu_rscale = float(default=None, min=0.5, max=3) # Radius in terms of PSF FWHM to scale extraction radii ifu_covar_scale = float(default=1.0) # Scaling factor to apply to errors to account for IFU cube covariance soss_atoca = boolean(default=True) # use ATOCA algorithm soss_threshold = float(default=1e-2) # TODO: threshold could be removed from inputs. Its use is too specific now. soss_n_os = integer(default=2) # minimum oversampling factor of the underlying wavelength grid used when modeling trace. soss_wave_grid_in = input_file(default = None) # Input wavelength grid used to model the detector soss_wave_grid_out = string(default = None) # Output wavelength grid solution filename soss_estimate = input_file(default = None) # Estimate used to generate the wavelength grid soss_rtol = float(default=1.0e-4) # Relative tolerance needed on a pixel model soss_max_grid_size = integer(default=20000) # Maximum grid size, if wave_grid not specified soss_tikfac = float(default=None) # regularization factor for NIRISS SOSS extraction soss_width = float(default=40.) # aperture width used to extract the 1D spectrum from the de-contaminated trace. soss_bad_pix = option("model", "masking", default="masking") # method used to handle bad pixels soss_modelname = output_file(default = None) # Filename for optional model output of traces and pixel weights
Methods Documentation