DECaPS 3D Dust Map and Stellar Inference Software
Code needed to reproduce the results for the DECaPS stellar inference and 3D dust map from Zucker, Saydjari, & Speagle et al. 2025. Each zip folder contains the code for a different part of the pipeline: perstar.zip: Code needed to generate the stellar parameters (distance, extinction, and stellar type) for 709 million stars used in the creation of the 3D dust map. This includes exact brutus configuration that was run (see https://doi.org/10.5281/zenodo.14915000), as well as the submission of batch jobs on the Harvard Cannon cluster. LOS.zip: Code needed to infer the distribution of dust along each line of sight. This includes the scripts for repixelation (grouping the stars into NSIDE=8192 pixels), the Bayestar LOS compilation used for MCMC sampling, and the submission of batch jobs on the Harvard Cannon cluster infill.zip: Code needed to infill the map in regions where there were too few stars needed to run the line-of-sight fit, including the submission of batch jobs on the Harvard Cannon cluster.
Institutions
- University of Toronto (CA)
- Princeton University (US)
- Center for Astrophysics Harvard & Smithsonian (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-01
- DOI
- https://doi.org/10.5281/zenodo.14952834
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00