Stcal

==================

General
-------

- Add TweakReg submodule. [267]

ramp_fitting
~~~~~~~~~~~~

- Move the CHARGELOSS read noise variance recalculation from the JWST step
code to the C extension to simplify the code and improve performance.[275]

Changes to API
--------------

- Add ``outlier_detection`` submodule with ``utils`` included
from jwst. [270]

==================

Bug Fixes
---------

ramp_fitting
~~~~~~~~~~~~

- Fix bugs in the C algorithm Poisson variance calculation when provided with
an average dark current. [269]

- When OLS_C was selected as the ramp fitting algorithm with multiprocessing, the C
extension was not called. The old python code was called. This bug has been fixed,
so the C extension is properly run when selecting multiprocessing. [268]

==================

General
-------

- build with Numpy 2.0 release candidate [260]

Bug Fixes
---------

jump
~~~~
- Flag asymmetrical snowballs that are missed by the current code (JP-3638). This was changed to
not require that the center of the snowball jump ellipse is a saturated
pixel. [261]

==================

Bug Fixes
---------

jump
~~~~

- Catch some additional warnings about all-NaN slices. [258]

ramp_fitting
~~~~~~~~~~~~

- Fix a bug in Poisson variance calculation visible when providing an average
dark current value in which the specified dark current was not converted to the
appropriate units for pixels with negative slopes. This resulted in
incorrect SCI, ERR, and VAR_POISSON values. Also required revising the approach
for catching all-zero variance cases when average dark current was not
specified. [255]

- Refactor ramp fitting using a C extension to improve performance. [156]

==================

Changes to API
--------------

jump
~~~~

- Switch multiprocessing method to ``fork_server``. [249]

ramp_fitting
~~~~~~~~~~~~

- Switch multiprocessing method to ``fork_server``. [249]

Bug Fixes
---------

jump
~~~~

- Updated the shower flagging code to mask reference pixels, require a minimum
number of groups to trigger the detection, and use all integrations to determine
the median value. [248]

ramp_fitting
~~~~~~~~~~~~

- Changed the data type of three variables that are used in measuring
the jump free segments of integrations. The variables were uint8 and
they would yield wrong results for integrations with more than 256
groups. [251]

- Use ``sqrtf`` instead of ``sqrt`` in ols_cas22 ramp fitting with
jump detection to avoid small numerical errors on different systems
due to a cast to/from double. [252]


Other
-----

jump
~~~~

- Enable the use of multiple integrations to find outliers. Also,
when the number of groups is above a threshold, use single pass
outlier flagging rather than the iterative flagging. [242]

- Use ``sqrtf`` instead of ``sqrt`` in ols_cas22 ramp fitting with
jump detection to avoid small numerical errors on different systems
due to a cast to/from double. [252]

==================

Changes to API
--------------

ramp_fitting
~~~~~~~~~~~~

- Add ``average_dark_current`` to calculations of poisson variance. [243]