Equation of State: Supernovae trace Cosmic Expansion (ESSENCE)

The essence module provides access to data from the Equation of State: Supernovae trace Cosmic Expansion survey (ESSENCE). It includes spectroscopic and photometric data published in Foley et al. 2009 and Narayan et al. 2016 respectively.

Data Release Class Name Data Type Publication
Narayan et al. 2016 Narayan16 photometric Narayan et al. 2016

Narayan et al. 2016

class sndata.essence.Narayan16[source]

The Narayan16 class provides access to photometric data for 213 Type Ia supernovae discovered by the ESSENCE survey at redshifts 0.1 <= z <= 0.81 between 2002 and 2008. It includes R and I band photometry measured from images obtained using the MOSAIC II camera at the CTIO Blanco telescope. (Source: Narayan et al. 2016)

Deviations from the standard UI:
  • None
Cuts on returned 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

  • 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[int, str]]

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.

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

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.

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

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