Minor fixes to noise estimation work #730
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with 8 or 16 processes per group: * When duplicating an observation, also duplicate per-detector flags. * When redistributing an observation, reset per-detector flags before setting. * Make the common mode removal an option (default True) prior to noise estimation. This is useful if the data has already had the common mode removed prior to this operator. * When high-pass filtering data that is distributed by time slices there may be some chunks that are fully flagged. This should not be an error. Instead, the flagged timestream is set to zero. * When communicating overlaps, ensure that the span used (lagmax + half_average) is less than the number of samples.
keskitalo
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Jan 26, 2024
* Fix parallelization problems in noise estimation * Small fixes for self.view=None * Some small fixes, discovered with unit tests and batch jobs (#730) with 8 or 16 processes per group: * When duplicating an observation, also duplicate per-detector flags. * When redistributing an observation, reset per-detector flags before setting. * Make the common mode removal an option (default True) prior to noise estimation. This is useful if the data has already had the common mode removed prior to this operator. * When high-pass filtering data that is distributed by time slices there may be some chunks that are fully flagged. This should not be an error. Instead, the flagged timestream is set to zero. * When communicating overlaps, ensure that the span used (lagmax + half_average) is less than the number of samples. * Ignore flagged detectors in poly2d fit --------- Co-authored-by: Theodore Kisner <tskisner@users.noreply.github.com> Co-authored-by: Ted Kisner <tskisner.public@gmail.com>
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Some small fixes, discovered with unit tests and batch jobs with 8 or 16 processes per group:
When duplicating an observation, also duplicate per-detector flags.
When redistributing an observation, reset per-detector flags before setting.
Make the common mode removal an option (default True) prior to noise estimation. This is useful if the data has already had the common mode removed prior to this operator.
When high-pass filtering data that is distributed by time slices there may be some chunks that are fully flagged. This should not be an error. Instead, the flagged timestream is set to zero.
When communicating overlaps, ensure that the span used (lagmax