:py:mod:`aces.survey.survey_utils`
==================================

.. py:module:: aces.survey.survey_utils


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


Functions
~~~~~~~~~

.. autoapisummary::

   aces.survey.survey_utils.from_ra_dec_deg
   aces.survey.survey_utils.stale_files
   aces.survey.survey_utils.func_mosaic_info
   aces.survey.survey_utils.func_beam_info
   aces.survey.survey_utils.func_stats_info
   aces.survey.survey_utils.func_leakage_info
   aces.survey.survey_utils.func_cat_match_info
   aces.survey.survey_utils.catalogue_compare
   aces.survey.survey_utils.ast
   aces.survey.survey_utils.ast_self
   aces.survey.survey_utils.t_string
   aces.survey.survey_utils.my_grep
   aces.survey.survey_utils.get_input
   aces.survey.survey_utils.find_parset



Attributes
~~~~~~~~~~

.. autoapisummary::

   aces.survey.survey_utils.beam_colnames
   aces.survey.survey_utils.beam_coltypes
   aces.survey.survey_utils.beam_types
   aces.survey.survey_utils.stats_colnames
   aces.survey.survey_utils.stats_coltypes
   aces.survey.survey_utils.stats_types
   aces.survey.survey_utils.astrom_colnames
   aces.survey.survey_utils.astrom_coltypes
   aces.survey.survey_utils.astrom_types
   aces.survey.survey_utils.arcs
   aces.survey.survey_utils.adjacent


.. py:data:: beam_colnames
   :value: ['BEAM_NUM', 'BEAM_TIME', 'RA_DEG', 'DEC_DEG', 'GAL_LONG', 'GAL_LAT', 'PSF_MAJOR', 'PSF_MINOR',...

   

.. py:data:: beam_coltypes
   :value: ['i4', 'f4', 'f4', 'f4', 'f4', 'f4', 'f4', 'f4', 'f4', 'i4', 'i4']

   

.. py:data:: beam_types

   

.. py:data:: stats_colnames
   :value: ['FLD_NAME', 'SBID', 'NPIXV', 'MINIMUM', 'MAXIMUM', 'MED_RMS_uJy', 'MODE_RMS_uJy',...

   

.. py:data:: stats_coltypes
   :value: ['S20', 'i4', 'i4', 'f4', 'f4', 'f4', 'f4', 'f4', 'f4', 'f4']

   

.. py:data:: stats_types

   

.. py:data:: astrom_colnames
   :value: ['BEAM1', 'BEAM2', 'DX_MEAN', 'DX_STD', 'DY_MEAN', 'DY_STD']

   

.. py:data:: astrom_coltypes
   :value: ['i4', 'i4', 'f4', 'f4', 'f4', 'f4']

   

.. py:data:: astrom_types

   

.. py:data:: arcs

   

.. py:data:: adjacent

   

.. py:function:: from_ra_dec_deg(ra, dec)


.. py:function:: stale_files(pre, post)


.. py:function:: func_mosaic_info(sv_obj, row_num=None, field=None, sbid=None, **kwargs)


.. py:function:: func_beam_info(sv_obj, row_num=None, field=None, sbid=None, **kwargs)


.. py:function:: func_stats_info(sv_obj, row_num=None, field=None, sbid=None, stokes='i', method='iqr', **kwargs)


.. py:function:: func_leakage_info(sv_obj, row_num=None, field=None, sbid=None, pols=['v', 'q', 'u'], zone=-1.0, snr=0)

   Get Stokes V/Q/U leakage based on sources in selavy catalogue.


.. py:function:: func_cat_match_info(sv_obj, row_num=None, check_stale=True, field=None, sbid=None, **kwargs)


.. py:function:: catalogue_compare(cat_file, **kwargs)

   :param cat_file: Name of selavy components file

   :rtype: astropy Table

   Derived from Catherine Hale's Flux_Scale.py (Feb 2020).
   Tidied Apr 2021.


.. py:function:: ast(ra1, dec1, ra2, dec2, radius, nneigh)

   Matches two catalogues within a certain angular separation
   * Uses input of ra/dec in degrees and radius in degrees
   * Output match has best matches for catalogue 1 and may have sources that         are matched to the same source in catalogue 2
   * Returns matched (within radius) skycoord array and distances

   :param ra1: Catalogue 1 RA (degrees)
   :param dec1: Catalogue 1 Dec (degrees)
   :param ra2: Catalogue 2 RA (degrees)
   :param dec2: Catalogue 2 Dec (degrees)
   :param radius: Angular separation (degrees) required for match
   :param nneigh: Which closest neighbor to search for: 1 (1st) or 2 (2nd).
   :return: c1_out Cat 1 coords of matched sources
            c2_out Cat 2 coords of matched sources
            d2_out Source angular separation (degrees)
            id_match_1 Indices in Cat 1
            id_match_2 Indices in Cat 2


.. py:function:: ast_self(ra1, dec1, radius, cmp)

   Matches the same catalogues within a certain angular separation
   - Uses input of ra/dec in degrees and radius in arcsec
   - if type==gt then only keep those sources with matches father away,
   - if lt then chooses nearby matches


.. py:function:: t_string(db_time)


.. py:function:: my_grep(file_name, txt)


.. py:function:: get_input(file_name, key)


.. py:function:: find_parset(survey, inx)