Software for distance-binned HEALPix summary layers derived from REGALADE

Read full text
Authors: Hitaishi Chillara
Cited by: 0

Abstract

Python pipeline used to generate the REGALADE HEALPix derivative dataset from the official CDS/VizieR distribution of REGALADE. The pipeline resolves the source table at runtime, hashes the exact bytes retrieved, streams the fixed-width catalog, and writes compressed FITS HEALPix layers together with a machine-readable JSON manifest. The release is intended to reproduce the accompanying dataset record for distance-binned galaxy-count, stellar-mass-sum, and mass-coverage layers.

Fields of Study & Subjects

Galaxies: Formation Evolution Phenomena Stellar planetary and galactic studies Astronomy and Astrophysical Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 March 2026
Language
EN