This project takes advantage of published data from multiple external research efforts. Listed below is a summary of data sets used by this project and their origins.
Repository Path: data/suominet/
Data Source: The SuomiNet Project
Meteorological measurements taken at various global positions are used to characterize atmospheric variability over time. This data is taken by the SuomiNet project and it’s affiliated teams / projects. Published values include the pressure, temperature, relative humidity, and precipitable water vapor concentration (at zenith) sampled at 30 minute intervals.
Repository Path: data/filters/ctio/
Data Source: SVO Filter Profile Service
Filter response curves corresponding to the Dark Energy Camera (DECam) used by the Cerro Telolo International Observatory (CTIO). These filter profiles were used primarily as a validation step during early development, and were later replaced by the LSST filter set.
Repository Path: data/filters/lsst/
Data Source: Cloned from https://github.com/lsst/throughputs
Filter response curves curves considered as the ‘baseline’ performance of the Legacy Survey of Space and Time (LSST). Throughput curves for other surveys are also available from the parent website, but only the LSST related data is used for this project. The filter profiles are generally identical to the profiles considered in the LSST Science Requirements Document (SRD).
Repository Path: Not included with project source code
Data Source: Data is published by DESC and hosted on Zenodo.
SN light-curves were simulated by the DESC PLAsTICC team using a variety of cadences and supernova models. The parameters used in these simulations (E.g., on sky position, salt2 parameters, observation time) are used as inputs for this project.
Note
Developers can reference the assumed PLAsTICC data model here.
Repository Path: data/stellar_spectra/
Data Source: Sourced from the Goettingen Spectral Library.
The Goettingen Spectral Library provides high-resolution, synthetic stellar spectra representing a variety of stellar types. Spectra were downloaded for a handful of spectral types, with additional spectra being downloaded on an “as needed” basis.