JP-3622 Update refpix step for NIR detectors to use convolution kernel

changes/321.feature.rst

@@ -0,0 +1 @@
+Adding datamodel schema for jwst refpix convolution kernel.

src/stdatamodels/jwst/datamodels/__init__.py

@@ -64,6 +64,7 @@
 from .rscd import RSCDModel
 from .saturation import SaturationModel
 from .segmap import SegmentationMapModel
+from .sirs_kernel import SIRSKernelModel
 from .slit import SlitModel, SlitDataModel
 from .pastasossmodel import PastasossModel
 from .sossextractmodel import SossExtractModel
@@ -140,7 +141,7 @@
     'ReferenceFileModel', 'ReferenceCubeModel', 'ReferenceImageModel', 'ReferenceQuadModel',
     'RegionsModel', 'ResetModel',
     'ResolutionModel', 'MiriResolutionModel',
-    'RSCDModel', 'SaturationModel', 'SlitDataModel', 'SlitModel', 'SpecModel',
+    'RSCDModel', 'SaturationModel', 'SIRSKernelModel', 'SlitDataModel', 'SlitModel', 'SpecModel',
     'SegmentationMapModel',
     'SossExtractModel',
     'SossWaveGridModel',

src/stdatamodels/jwst/datamodels/schemas/core.schema.yaml

@@ -1790,6 +1790,15 @@ properties:
                 type: string
                 fits_keyword: R_COLLIM
                 blend_table: True
+          sirskernel:
+            title: NIR Optimized Convolution Kernel reference file information
+            type: object
+            properties:
+              name:
+                title: NIR Simple Improved Reference Subtraction
+                type: string
+                fits_keyword: R_SIRSKL
+                blend_table: True
           cubepar:
             title: IFU cube reference file information
             type: object

src/stdatamodels/jwst/datamodels/schemas/sirs_kernel.schema.yaml

@@ -0,0 +1,16 @@
+%YAML 1.1
+---
+$schema: "http://stsci.edu/schemas/asdf/asdf-schema-1.0.0"
+id: "http://stsci.edu/schemas/jwst_datamodel/sirs_kernel.schema"
+allOf:
+- $ref: referencefile.schema
+- type: object
+  patternProperties:
+    "^(nrca1|nrca2|nrca3|nrca4|nrcalong|nrcb1|nrcb2|nrcb3|nrcb4|nrcblong|nrs1|nrs2|mirimage|mirifulong|mirifushort|nis)$":
+      type: object
+      properties:
+        gamma:
+          datatype: float64
+        zeta:
+          datatype: float64
+      required: [gamma, zeta]

src/stdatamodels/jwst/datamodels/sirs_kernel.py

@@ -0,0 +1,32 @@
+from .reference import ReferenceFileModel
+
+
+__all__ = ['SIRSKernelModel']
+
+
+class SIRSKernelModel(ReferenceFileModel):
+    """
+    A data model for the NIR Optimized Convolution Kernel Fourier Coefficients,
+    also called Simple Improved Reference Subtraction (SIRS).
+
+    Parameters
+    __________
+    data : numpy table
+        The reference waves to correct for 1/f at the REFPIX step for NIR data.
+        A table-like object containing the Fourier Coefficients for the
+        optimized convolution kernel. The format is the same for all NIR files
+        - Detector name: str
+        - gamma: float32 1D array
+        - zeta: float32 1D array
+    """
+    schema_url = "http://stsci.edu/schemas/jwst_datamodel/sirs_kernel.schema"
+    reftype = "sirskernel"
+
+    def __init__(self, init=None, **kwargs):
+        super(SIRSKernelModel, self).__init__(init=init, **kwargs)
+
+    def on_save(self, path=None):
+        self.meta.reftype = self.reftype
+
+    def validate(self):
+        super(SIRSKernelModel, self).validate()