orca.flagging.flag_bad_ants
===========================

.. py:module:: orca.flagging.flag_bad_ants

.. autoapi-nested-parse::

   Antenna flagging based on autocorrelation statistics.

   Identifies bad antennas by analyzing post-calibration autocorrelation
   amplitudes and time-series variability. Core and outrigger antennas
   are evaluated separately with appropriate thresholds.

   Functions
   ---------
   flag_ants_from_postcal_autocorr
       Identify bad antennas from post-calibration autocorrelation data.
   flag_bad_ants
       Identify bad antennas from raw autocorrelation statistics.



Functions
---------

.. autoapisummary::

   orca.flagging.flag_bad_ants.flag_ants_from_postcal_autocorr
   orca.flagging.flag_bad_ants.flag_bad_ants
   orca.flagging.flag_bad_ants.plot_autos
   orca.flagging.flag_bad_ants.main


Module Contents
---------------

.. py:function:: flag_ants_from_postcal_autocorr(msfile: str, tavg: bool = False, thresh: float = 4) -> Optional[str]

   Generates a text file containing the bad antennas.
   DOES NOT ACTUALLY APPLY FLAGS. CURRENTLY SHOULD ONLY BE RUN ON SINGLE SPW MSs.

   :param msfile:
   :param tavg: If set to True, will time average before evaluating flags.
   :param thresh: Threshold to use for flagging. Default is 4.

   :returns: Path to the text file with the list of antennas to flag.


.. py:function:: flag_bad_ants(msfile: str, debug: bool = False) -> str

   Generates a text file containing the bad antennas.
   DOES NOT ACTUALLY APPLY FLAGS.

   :param msfile: msfile to generate

   :returns: Path to the text file with list of antennas to flag.


.. py:function:: plot_autos(msfile: str)

   Plot autocorrelations, grouped by ARX board.


.. py:function:: main()