MiriResolutionModel¶
-
class
jwst.datamodels.
MiriResolutionModel
(init=None, **kwargs)[source]¶ Bases:
jwst.datamodels.ResolutionModel
A data model for MIRI Resolution reference files.
- Parameters
data (numpy table) – Resolving Power table A table containing resolving power of the MRS. THe table consist of 11 columns and 12 rows. Each row corresponds to a band. The columns give the name of band, central wavelength, and polynomial coefficeints (a,b,c) needed to obtain the limits and average value of the spectral resolution.
psf_fwhm_alpha_table (table) – PSF FWHM Alpha A table with 5 columns. Column 1 gives the cutoff wavelength where the polynomials describing alpha FWHM change. Columns 2 and 3 give the polynomial cofficients (a,b) describing alpha FWHM for wavelengths shorter than cuttoff. Columns 4 and 5 give the polynomial coefficients (a,b) describing alpha FWHM for wavelengths longer than the cutoff.
psf_fwhm_beta_table (table) – PSF FWHM Beta A table with 5 columns. Column 1 gives the cutoff wavelength where the polynomials describing alpha FWHM change. Columns 2 and 3 give the polynomial cofficients (a,b) describing beta FWHM for wavelengths shorter than cuttoff. Columns 4 and 5 give the polynomial coefficients (a,b) describing beta FWHM for wavelengths longer than the cutoff.
init (str, tuple,
HDUList
, ndarray, dict, None) –None : Create a default data model with no shape.
tuple : Shape of the data array. Initialize with empty data array with shape specified by the.
file path: Initialize from the given file (FITS or ASDF)
readable file object: Initialize from the given file object
HDUList
: Initialize from the givenHDUList
.A numpy array: Used to initialize the data array
dict: The object model tree for the data model
schema (dict, str (optional)) – Tree of objects representing a JSON schema, or string naming a schema. The schema to use to understand the elements on the model. If not provided, the schema associated with this class will be used.
memmap (bool) – Turn memmap of FITS file on or off. (default: False). Ignored for ASDF files.
pass_invalid_values (bool or None) – If
True
, values that do not validate the schema will be added to the metadata. IfFalse
, they will be set toNone
. IfNone
, value will be taken from the environmental PASS_INVALID_VALUES. Otherwise the default value isFalse
.strict_validation (bool or None) – If
True
, schema validation errors will generate an exception. IfFalse
, they will generate a warning. IfNone
, value will be taken from the environmental STRICT_VALIDATION. Otherwise, the default value isFalse
.validate_on_assignment (bool or None) – Defaults to ‘None’. If
None
, value will be taken from the environmental VALIDATE_ON_ASSIGNMENT, defaulting to ‘True’ if no environment variable is set. If ‘True’, attribute assignments are validated at the time of assignment. Validation errors generate warnings and values will be set toNone
. If ‘False’, schema validation occurs only once at the time of write. Validation errors generate warnings.ignore_missing_extensions (bool) – When
False
, raise warnings when a file is read that contains metadata about extensions that are not available. Defaults toTrue
.kwargs (dict) –
Additional keyword arguments passed to lower level functions. These arguments are generally file format-specific. Arguments of note are:
available built-in formats are (The) –
==== ===== ============= (=========) – Format Read Write Auto-identify
==== ===== ============= –
Yes Yes Yes (datamodel) –
==== ===== ============= –
Attributes Summary
The schema URI to validate the model against.
Attributes Documentation
-
schema_url
= 'http://stsci.edu/schemas/jwst_datamodel/miri_resolution.schema'¶ The schema URI to validate the model against. If None, only basic validation of required metadata properties (filename, model_type) will occur.