Simple method for flagging UWL data.
Project description
atflagger
A simple flagger for continuum UWL data. Flag persistent RFI first, then run this auto-flagger.
Installation
Installing requires pip
and python3
(3.8 and up).
Stable version:
pip install atflagger
Latest version:
pip install git+https://github.com/AlecThomson/atflagger
Usage
❯ atflagger -h
usage: atflagger [-h] [-i] [-b BEAM] [-s SIGMA] [-n N_WINDOWS] [-w] [-r REPORT] [-c CORES] [-t THREADS_PER_WORKER] filenames [filenames ...]
atflagger - Automatic flagging of UWL data. This flagger divides each subband into a number of windows, and then uses sigma clipping to remove outliers. The number of windows is set by the 'n-windows' argument, and the number of sigma is set by the 'sigma' argument. Parallelism is handled by dask.distributed. The 'cores' argument sets the number of
Dask workers, and 'threads-per-worker' sets the number of threads. See https://docs.dask.org/en/stable/deploying-python.html#reference for more information.
positional arguments:
filenames Input SDHDF file(s)
optional arguments:
-h, --help show this help message and exit
-i, --inplace Update flags in-place (default: create new file)
-b BEAM, --beam BEAM Beam label
-s SIGMA, --sigma SIGMA
Sigma clipping threshold
-n N_WINDOWS, --n-windows N_WINDOWS
Number of windows to use in box filter
-w, --use-weights Use weights table instead of flag table
-r REPORT, --report REPORT
Optionally save the Dask (html) report to a file
-c CORES, --cores CORES
Number of workers to use (default: Dask automatic configuration)
-t THREADS_PER_WORKER, --threads-per-worker THREADS_PER_WORKER
Number of threads per worker (default: Dask automatic configuration)
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