Skykatana: a scalable framework to construct sky masks for the Vera Rubin Observatory and large astronomical surveys
Abstract
This archive corresponds to the version of Skykatana used in Lopez et al. (2026), as submitted to Astronomy & Computing Journal. We includes the source code snapshot (skykatana v0.2.2), pinned core dependencies, and a conda environment specification file. The python version was 3.11.14.
Fields of Study & Subjects
Astronomy and Astrophysical Research
Astronomical Observations and Instrumentation
Galaxies: Formation
Evolution
Phenomena
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026