demo_compare_to_gaia
====================

.. py:module:: demo_compare_to_gaia

.. autoapi-nested-parse::

   Script to compare SynthPop output to GAIA DR3 Universe Model and Source Catalog



Attributes
----------

.. autoapisummary::

   demo_compare_to_gaia.DIRNAME
   demo_compare_to_gaia.DIRNAME
   demo_compare_to_gaia.coordtrans
   demo_compare_to_gaia.DIRNAME
   demo_compare_to_gaia.DIRNAME
   demo_compare_to_gaia.GaiaModel
   demo_compare_to_gaia.GUMS_QUERY
   demo_compare_to_gaia.gums_ids
   demo_compare_to_gaia.GREEN
   demo_compare_to_gaia.BLUE
   demo_compare_to_gaia.RED
   demo_compare_to_gaia.ORANGE
   demo_compare_to_gaia.field


Classes
-------

.. autoapisummary::

   demo_compare_to_gaia.CompareGaia


Functions
---------

.. autoapisummary::

   demo_compare_to_gaia.write_csv_in_chunks
   demo_compare_to_gaia._plot_density
   demo_compare_to_gaia.plot_log_ratio
   demo_compare_to_gaia.plot_lin_diff
   demo_compare_to_gaia._dense_hist


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

.. py:data:: DIRNAME

.. py:data:: DIRNAME
   :value: '.'


.. py:data:: coordtrans

.. py:data:: DIRNAME

.. py:data:: DIRNAME
   :value: '.'


.. py:data:: GaiaModel

.. py:data:: GUMS_QUERY

.. py:data:: gums_ids

.. py:data:: GREEN

.. py:data:: BLUE

.. py:data:: RED

.. py:data:: ORANGE

.. py:function:: write_csv_in_chunks(filename, df, chunksize=1000, columns=None)

   Write a pandas DataFrame to a CSV file in chunks of a specific size.

   Args:
       filename (str): Name of the output file.
       df (pandas.DataFrame): DataFrame to write to the output file.
       chunksize (int, optional): Size of the chunks to write. Default is 1000.

   Returns:
       None


.. py:class:: CompareGaia(n_locations=10, radius_deg=1 / np.sqrt(np.pi) / 10**0.5, loc='disk', **kwargs)

   Comparison between Gaia data/model and SynthPop model


   .. py:attribute:: loc
      :value: 'disk'



   .. py:attribute:: mod1


   .. py:attribute:: mod2


   .. py:attribute:: complete_synth1_filtered


   .. py:attribute:: complete_synth2_filtered


   .. py:method:: download_cat()


   .. py:method:: run_synthpop()

      generate the GUMS model



   .. py:method:: load_data(regenerate=False, redownload=True)


   .. py:method:: plot_hist_G()


   .. py:method:: plot_cmd()


   .. py:method:: plot_cmd_diff()


   .. py:method:: plot_density(maglim=20.5, bin_width=0.15)


   .. py:method:: plot_density_hist()


   .. py:method:: get_combined_density(pop_ids, d_kpc)


   .. py:method:: plot_comp_cmds(alpha=0.1, ms=0.1, **kwargs)


   .. py:method:: plot_dens_hist_pop(g_lim=20, bin_width=0.2)


.. py:function:: _plot_density(mass, dist, solid_angle, bin_width, label='', **kwargs)

.. py:function:: plot_log_ratio(data, xlim, ylim, vmin=0.1, vmax=10.0, cmap='bwr', **kwargs)

.. py:function:: plot_lin_diff(data, xlim, ylim, vmin=None, vmax=None, cmap='bwr', **kwargs)

.. py:function:: _dense_hist(weights, dist, bins, solid_angle, **kwargs)

.. py:data:: field