Published July 27, 2025 | Version v1
Journal article Open

NASIM: Revealing the Low Surface Brightness Universe from Legacy VISTA Data

  • 1. ROR icon Instituto de Astrofísica de Canarias
  • 2. ROR icon University of Southampton
  • 3. ROR icon Centro de Estudios de Física del Cosmos de Aragón
  • 4. INAF

Description

Automatic reproducible paper pipeline for the paper titled "NASIM: Revealing the Low Surface Brightness Universe from Legacy VISTA Data" accepted for publication in the A&A Journal. In this paper, we present NASIM (Near-infrared Automated low Surface brightness reduction In Maneage), a fully automated and reproducible data reduction pipeline optimised for VISTA/VIRCAM observations. NASIM builds on advanced techniques from the GNU Astronomy Utilities (Gnuastro) to effectively remove large-scale instrumental artefacts and detector patterns while preserving faint, diffuse emission crucial for low surface brightness (LSB) science.

Below is a description of the contents. Note that the version string b3c5416 refers to the Git commit identifier. For the full Git history (which may include modifications made after this publication), please see the project's Git repository on GitLab. The source code has also been archived in Software Heritage for long-term preservation.

  • software-b3c5416.tar.gz: Tarballs/source code of all the software used in this project.
  • NASIM-inputs.tar.xz: Necessary input files for running the project.
  • maneaged-b3c5416.tar.gz: A snapshot/checkout of the published pipeline's raw (plain text) source, that doesn't need Git to open and read/inspect.
  • paper-b3c5416.pdf: The PDF of the paper corresponding to this commit.
  • NASIM-NGC1494.fits: FITS files of the galaxy NGC 1494 in the Ks band from the KEDFS survey (tile: KEDFS_2_4), as released by NASIM.
  • NASIM-IC2000.fits: FITS files of the galaxy IC 2000 in the Ks band from the KEDFS survey (tile: KEDFS_1_5), as released by NASIM.

For more on reproducing this paper, please see the README.md file in the repository. Generally, this paper was written using Maneage (Managing data lineage); for more, please see Akhlaghi et al. (2021).

For any issues with the pipeline/processing, please feel free to contact Elham Saremi (saremy.elham@gmail.com).

 

 

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Additional details

Dates

Accepted
2025-07-27