Carnegie Supernova Project (CSP)¶

The csp module provides access to data from the Carnegie Supernova Project (CSP). It includes data from the first (DR1) and third (DR3) data releases.

Data Release	Class Name	Data Type	Publication
Data Release 1	DR1	Spectroscopic	Folatelli et al. 2013
Data Release 3	DR3	Photometric	Krisciunas et al. 2017

Data Release 1¶

class sndata.csp.DR1[source]¶

The DR1 class provides access to spectra from the first release of optical spectroscopic data of low-redshift Type Ia supernovae (SNe Ia) by the Carnegie Supernova Project. It includes 604 previously unpublished spectra of 93 SNe Ia. The observations cover a range of phases from 12 days before to over 150 days after the time of B-band maximum light. (Source: Folatelli et al. 2013)

Important

The DR1 spectra are both published and returned by sndata in units of rest frame wavelength.

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

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

Data Release 3¶

class sndata.csp.DR3[source]¶

The DR3 class provides access to data from the third data release of the Carnegie Supernova Project (CSP) which includes natural-system optical (ugriBV) and near-infrared (YJH) photometry of 134 supernovae (SNe) that were observed in 2004-2009 as part of the first stage of the Carnegie Supernova Project (CSP-I). The sample consists of 123 Type Ia SNe, 5 Type Iax SNe, 2 super-Chandrasekhar SN candidates, 2 Type Ia SNe interacting with circumstellar matter, and 2 SN 2006bt-like events. The redshifts of the objects range from z=0.0037 to 0.0835; the median redshift is 0.0241. For 120 (90%) of these SNe, near-infrared photometry was obtained. (Source: Krisciunas et al. 2017)