Specreduce

Latest version: v1.4.1

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1.5.0

------------------

New Features
^^^^^^^^^^^^

API Changes
^^^^^^^^^^^

Bug Fixes
^^^^^^^^^


Other changes

1.4.1

------------------

New Features
^^^^^^^^^^^^

API Changes
^^^^^^^^^^^

Bug Fixes
^^^^^^^^^
- Fix bug where Background one sided / two sided was not correctly assigning units to data. [221]

Other changes
^^^^^^^^^^^^^

1.4.0

------------------

New Features
^^^^^^^^^^^^

- Added 'interpolated_profile' option for HorneExtract. If The ``interpolated_profile`` option
is used, the image will be sampled in various wavelength bins (set by
``n_bins_interpolated_profile``), averaged in those bins, and samples are then
interpolated between (linear by default, interpolation degree can be set with
the ``interp_degree_interpolated_profile`` parameter) to generate a continuously varying
spatial profile that can be evaluated at any wavelength. [173]

- Added a function to measure a cross-dispersion profile. A profile can be
obtained at a single pixel/wavelength, or an average profile can be obtained
from a range/set of wavelengths. [214]

API Changes
^^^^^^^^^^^

- Fit residuals exposed for wavelength calibration in ``WavelengthCalibration1D.fit_residuals``. [446]

Bug Fixes
^^^^^^^^^

- Output 1D spectra from Background no longer include NaNs. Output 1D
spectra from BoxcarExtract no longer include NaNs when none are present
in the extraction window. NaNs in the window will still propagate to
BoxcarExtract's extracted 1D spectrum. [159]

- Backgrounds using median statistic properly ignore zero-weighted pixels.
[159]

- HorneExtract now accepts 'None' as a vaild option for ``bkgrd_prof``. [171]

- Fix in FitTrace to set fully-masked column bin peaks to NaN. Previously, for
peak_method='max' these were set to 0.0, and for peak_method='centroid' they
were set to the number of rows in the image, biasing the final fit to all bin
peaks. Previously for Gaussian, the entire fit failed. [205, 206]

- Fixed input of `traces` in `Background`. Added a condition to 'FlatTrace' that
trace position must be a positive number. [211]

Other changes
^^^^^^^^^^^^^

- The following packages are now optional dependencies because they are not
required for core functionality: ``matplotlib``, ``photutils``, ``synphot``.
To install them anyway, use the ``[all]`` specifier when you install specreduce; e.g.:
``pip install specreduce[all]`` [202]

1.3.0

------------------

New Features
^^^^^^^^^^^^

- The new FitTrace class (see "API Changes" below) introduces the
ability to take a polynomial trace of an image [128]

API Changes
^^^^^^^^^^^

- Renamed KosmosTrace as FitTrace, a conglomerate class for traces that
are fit to images instead of predetermined [128]

- The default number of bins for FitTrace is now its associated image's
number of dispersion pixels instead of 20. Its default peak_method is
now 'max' [128]

- All operations now accept Spectrum1D and Quantity-type images. All
accepted image types are now processed internally as Spectrum1D objects
[144, 154]

- All operations' ``image`` attributes are now coerced Spectrum1D
objects [144, 154]

- HorneExtract can now handle non-flat traces [148]

Bug Fixes
^^^^^^^^^

- Fixed passing a single ``Trace`` object to ``Background`` [146]

- Moved away from creating image masks with numpy's ``mask_invalid()``
function after change to upstream API. This will make specreduce
be compatible with numpy 1.24 or later. [155]

1.2.0

------------------

New Features
^^^^^^^^^^^^

- ``Background`` has new methods for exposing the 1D spectrum of the
background or background-subtracted regions [143]

Bug Fixes
^^^^^^^^^

- Improved errors/warnings when background region extends beyond bounds
of image [127]

- Fixed boxcar weighting bug that often resulted in peak pixels having
weight above 1 and erroneously triggered overlapping background errors
[125]

- Fixed boxcar weighting to handle zero width and edge of image cases
[141]

1.1.0

------------------

New Features
^^^^^^^^^^^^

- ``peak_method`` as an optional argument to ``KosmosTrace`` [115]

API Changes
^^^^^^^^^^^

- ``HorneExtract`` no longer requires ``mask`` and ``unit`` arguments [105]

- ``BoxcarExtract`` and ``HorneExtract`` now accept parameters (and
require the image and trace) at initialization, and allow overriding any
input parameters when calling [117]

Bug Fixes
^^^^^^^^^

- Corrected the default mask created in
``HorneExtract``/``OptimalExtract`` when a user doesn't specify one and
gives their image as a numpy array [118]

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