DetectorModelOrder

class jwst.extract_1d.soss_extract.soss_extract.DetectorModelOrder(spectral_order: int, wavemap: ndarray, spectrace: ndarray, specprofile: ndarray, throughput: Callable, kernel: WebbKernel | ndarray | None = None, kernel_native: WebbKernel | None = None, kernel_func: WebbKernel | None = None, subarray: str | None = None, trace_cutoff: int = 2048, short_cutoff: float | None = None, orderengine: ExtractionEngine | None = None, order12engine: ExtractionEngine | None = None, mederr: ndarray | None = None, m_inv: ndarray | None = None, bmat: ndarray | None = None, mask: ndarray | None = None)[source]

Bases: object

Model of detector properties for the ATOCA algorithm for a single spectral order.

Attributes:

spectral_orderint: The spectral order number.
wavemapndarray: The 2-D map of the expected wavelengths at each pixel for this order as determined by PASTASOSS.
spectracendarray: The 1-D spectral trace as determined by PASTASOSS.
specprofilendarray: The 2-D spatial profile of the spectral trace from the SPECPROFILE reference file.
throughputcallable: An interpolation function for the throughput of the order, computed from the throughput in the PASTASOSS reference file.
kernelWebbKernel, ndarray, or None: The spectral resolution kernel for this order on the input wavelength grid, either as a WebbKernel object (callable) or as a 2-D array.
kernel_nativeWebbKernel, ndarray, or None: The spectral resolution kernel for this order on the native pixel grid, either as a WebbKernel object (callable) or as a 2-D array.
kernel_funcWebbKernel or None: The spectral resolution kernel for this order. This is intended not to be modified, so the ExtractionEngine can use it to generate a kernel at any wavelength grid.
subarraystr or None: The name of the subarray used for the extraction.
trace_cutoffint: The maximum x pixel to consider for this order, as determined by the PASTASOSS reference file.
short_cutofffloat or None: The shortest wavelength to consider for this order, in microns, as determined by the PASTASOSS reference file.
orderengineExtractionEngine or None: Precomputed extraction engine for this order. This is intended to be computed for the first integration and stored thereafter.
order12engineExtractionEngine or None: Precomputed extraction engine for orders 1+2. This is intended to be computed for the first integration and stored thereafter.
mederrndarray or None: Median error across integrations
m_invndarray or None: Inverse of the design matrix of the regularized least squares problem. Intended to be computed for the first integration and stored thereafter.
bmatndarray or None: Matrix of pixel values divided by the median error. Intended to be computed for the first integration and stored thereafter.
maskndarray or None: Mask for pixels valid in at least some integrations. Intended to be computed for the first integration and stored thereafter.

Attributes Summary

`bmat`
`kernel`
`kernel_func`
`kernel_native`
`m_inv`
`mask`
`mederr`
`native_grid`	Make a 1D grid of the pixels boundary based on the wavelength solution.
`order12engine`
`orderengine`
`short_cutoff`
`specprofile`
`spectrace`
`spectral_order`
`subarray`
`throughput`
`trace`	Get the x, y, wavelength of the trace after applying the transform.
`trace_cutoff`
`wavemap`

Methods Summary

get_grid_from_trace(n_os)

Make a 1D grid of the pixels boundary based on the wavelength solution.

Attributes Documentation

bmat: ndarray | None = None

kernel: WebbKernel | ndarray | None = None

kernel_func: WebbKernel | None = None

kernel_native: WebbKernel | None = None

m_inv: ndarray | None = None

mask: ndarray | None = None

mederr: ndarray | None = None

native_grid

Make a 1D grid of the pixels boundary based on the wavelength solution.

Returns:

wavendarray: Grid of the pixels boundaries at the native sampling (1D array)
colndarray: The column number of the pixel

order12engine: ExtractionEngine | None = None

orderengine: ExtractionEngine | None = None

short_cutoff: float | None = None

specprofile: ndarray = <dataclasses._MISSING_TYPE object>

spectrace: ndarray = <dataclasses._MISSING_TYPE object>

spectral_order: int = <dataclasses._MISSING_TYPE object>

subarray: str | None = None

throughput: Callable = <dataclasses._MISSING_TYPE object>

trace

Get the x, y, wavelength of the trace after applying the transform.

Returns:

xtrace, ytrace, wavetracendarray: The x, y, and wavelength of the trace, respectively.

trace_cutoff: int = 2048

wavemap: ndarray = <dataclasses._MISSING_TYPE object>

Methods Documentation

get_grid_from_trace(n_os)[source]

Make a 1D grid of the pixels boundary based on the wavelength solution.

Parameters:

n_osint or ndarray: The oversampling factor of the wavelength grid used when solving for the uncontaminated flux.

Returns:

ndarray: Grid of the pixels boundaries at the native sampling (1D array).