Lick Observatory Supernova Search (LOSS)

The loss module provides access to supernova data from the Lick Observatory Supernova Search (LOSS). For the spectroscopic compliment to this survey, see the bsnip module.

Data Release Class Name Data Type Publication
Ganeshalingam et al. 2013 Ganeshalingam13 Photometric Ganeshalingam et al. 2013

Ganeshalingam et al. 2013

class sndata.loss.Ganeshalingam13[source]

The Ganeshalingam13 class provides access to BVRI light curves of 165 objects published by the first data release of the Lick Observatory Supernova Search (LOSS) conducted between 1998 and 2008. (Source: Ganeshalingam et al. 2013)

Deviations from the standard UI:
  • None
Cuts on returned data:
  • None
delete_module_data() → None

Delete any data for the current survey / data release

download_module_data(force: bool = False, timeout: float = 15)

Download data for the current survey / data release

Parameters:
  • force – Re-Download locally available data
  • timeout – Seconds before timeout for individual files/archives
get_available_ids() → List[str]

Return a list of target object IDs for the current survey

Returns:A list of object IDs as strings
get_available_tables() → List[Union[str, int]]

Get Ids for available vizier tables published by this data release

get_data_for_id(obj_id: str, format_table: bool = True) → astropy.table.table.Table

Returns data for a given object ID

See get_available_ids() for a list of available ID values.

Parameters:
  • obj_id – The ID of the desired object
  • format_table – Format data into the sndata standard format
Returns:

An astropy table of data for the given ID

classmethod get_zp_for_band(band: str) → str

Get the zeropoint for a given band name

Parameters:band – The name of the bandpass
iter_data(verbose: bool = False, format_table: bool = True, filter_func: bool = None) → astropy.table.table.Table

Iterate through all available targets and yield data tables

An optional progress bar can be formatted by passing a dictionary of tqdm arguments. Outputs can be optionally filtered by passing a function filter_func that accepts a data table and returns a boolean.

Parameters:
  • verbose – Optionally display progress bar while iterating
  • format_table – Format data for SNCosmo (Default: True)
  • filter_func – An optional function to filter outputs by
Yields:

Astropy tables

load_table(table_id: Union[int, str]) → astropy.table.table.Table

Return a Vizier table published by this data release

Parameters:table_id – The published table number or table name
register_filters(force: bool = False)

Register filters for this survey / data release with SNCosmo

Parameters:force – Re-register a band if already registered