survey.snls

survey.snls#

This module defines the SNLS survey class, including the SNLS field coordinates, MegaCam footprint, and tools to load the observing logs.

skysurvey.survey.snls.get_snls_field_coordinates(fieldid_name='fieldid')[source]#

Get the radec location of the 4 SNLS fields.

Parameters:

fieldid_name (str) – name of the fieldid column.

Return type:

pandas.DataFrame

skysurvey.survey.snls.get_snls_footprint()[source]#

Returns a 1-degree side square footprint.

Return type:

shapely.geometry.Polygon

skysurvey.survey.snls.get_weblogs(url='https://supernovae.in2p3.fr/snls5/snls_obslogs.csv')[source]#

Load and parse data from the input url.

Parameters:

url (str) – url to the data.

Return type:

pandas.DataFrame

skysurvey.survey.snls.register_snls_bandpasses(filters=['g', 'r', 'i', 'z', 'y'], prefix='megacampsf', at_radius=13.0)[source]#

Register snls band passes to sncosmo assuming a single radius.

Parameters:

  • filters (list) – names of the snls filters

  • prefix (str) – prefix for the megacam filters format: {prefix}{filter}

  • at_radius (float) – bandpass will be estimated at this entry radius.

Return type:

None

class skysurvey.survey.snls.SNLS(data=None, **kwargs)[source]#

Bases: GridSurvey

A class to model the SNLS survey.

Parameters:

  • data (pandas.DataFrame) – observing data.

  • **kwargs – goes to GridSurvey.__init__

classmethod from_logs(logpath=None, **kwargs)[source]#

Loads the data from the observing logs.

If None provided, this uses: https://supernovae.in2p3.fr/snls5/snls_obslogs.csv

Parameters:
Return type:

instance

classmethod from_pointings(data, **kwargs)[source]#

Loads from observing log data.

Parameters:

  • data (pandas.DataFrame, dict) – observing logs, must contains: [‘zp’, ‘fieldid’, ‘gain’, ‘skynoise’, ‘mjd’, ‘band’]

  • GridSurvey.__init__ (**kwargs goes to)

Returns:

  • instance

  • See also

  • ———

  • :func:`from_logs()` (loads the data from input file (or web).)