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Nasim: revealing the low surface brightness Universe from legacy VISTA data

Nasim: revealing the low surface brightness Universe from legacy VISTA data
Nasim: revealing the low surface brightness Universe from legacy VISTA data

Near-infrared imaging is a powerful technique in observational astronomy, but the bright background – primarily from the Earth’s atmosphere – makes the detection of faint features particularly challenging. To recover low surface brightness (LSB) structures in such data, 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 LSB science. As a key science application, we focus on the deep K s-band observations of the Euclid Deep Field South (KEDFS), one of the deepest VISTA/VIRCAM datasets and a high-priority field for synergy with current and future facilities, including Euclid, JWST, LSST, Roman, Spitzer, and ALMA. Situated near the South Ecliptic Pole, KEDFS offers favourable conditions for deep extragalactic observations due to minimal Galactic foreground contamination. With VIRCAM no longer operational, it now stands as a unique and irreplaceable legacy dataset for near-infrared astronomy. We release selected tiles from the KEDFS survey and highlight representative science cases – including galaxy outskirts, LSB galaxies, and intracluster light – that demonstrate NASIM’s ability to recover diffuse structures. Our reduction reaches a surface brightness limit of ∼27.7 mag arcsec −2 (3σ over 100 arcsec 2) in the K s band, approximately 67 times deeper than 2MASS and 11 times deeper than VISTA Hemisphere Survey (VHS). A direct comparison with conventional VISTA data reduction pipelines demonstrates the advantages of NASIM in preserving diffuse emission without compromising compact source detection. All quantitative results presented in this paper are fully reproducible with Maneage (commit a02b40dd).

Galaxy: general, infrared: diffuse background, methods: data analysis, surveys, techniques: image processing, telescopes
0004-6361
Saremi, Elham
c98e5648-c606-4bbc-8289-609b5d0deaba
Trujillo, Ignacio
7927507e-bddb-4d56-9acd-ea43b2f67705
Akhlaghi, Mohammad
4983bc9c-34a1-4af4-b9e9-5db006e7fcd8
Ghaffari, Zohreh
3d1779d4-31c4-4bc1-95ba-621ceca2f013
Knapen, Johan H.
cd5f0053-deeb-4067-bb99-6897985a0a2d
Banerji, Manda
ce0a04bf-70a4-4b64-9027-b1a01def7325
Dannerbauer, Helmut
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Comerón, Sébastien
b829f8a9-3a12-4856-8801-539e17db4fda
Saremi, Elham
c98e5648-c606-4bbc-8289-609b5d0deaba
Trujillo, Ignacio
7927507e-bddb-4d56-9acd-ea43b2f67705
Akhlaghi, Mohammad
4983bc9c-34a1-4af4-b9e9-5db006e7fcd8
Ghaffari, Zohreh
3d1779d4-31c4-4bc1-95ba-621ceca2f013
Knapen, Johan H.
cd5f0053-deeb-4067-bb99-6897985a0a2d
Banerji, Manda
ce0a04bf-70a4-4b64-9027-b1a01def7325
Dannerbauer, Helmut
0033708d-d105-48e1-9d7f-1b6d3b34c197
Comerón, Sébastien
b829f8a9-3a12-4856-8801-539e17db4fda

Saremi, Elham, Trujillo, Ignacio, Akhlaghi, Mohammad, Ghaffari, Zohreh, Knapen, Johan H., Banerji, Manda, Dannerbauer, Helmut and Comerón, Sébastien (2025) Nasim: revealing the low surface brightness Universe from legacy VISTA data. Astronomy and Astrophysics, 701. (doi:10.1051/0004-6361/202555929).

Record type: Article

Abstract

Near-infrared imaging is a powerful technique in observational astronomy, but the bright background – primarily from the Earth’s atmosphere – makes the detection of faint features particularly challenging. To recover low surface brightness (LSB) structures in such data, 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 LSB science. As a key science application, we focus on the deep K s-band observations of the Euclid Deep Field South (KEDFS), one of the deepest VISTA/VIRCAM datasets and a high-priority field for synergy with current and future facilities, including Euclid, JWST, LSST, Roman, Spitzer, and ALMA. Situated near the South Ecliptic Pole, KEDFS offers favourable conditions for deep extragalactic observations due to minimal Galactic foreground contamination. With VIRCAM no longer operational, it now stands as a unique and irreplaceable legacy dataset for near-infrared astronomy. We release selected tiles from the KEDFS survey and highlight representative science cases – including galaxy outskirts, LSB galaxies, and intracluster light – that demonstrate NASIM’s ability to recover diffuse structures. Our reduction reaches a surface brightness limit of ∼27.7 mag arcsec −2 (3σ over 100 arcsec 2) in the K s band, approximately 67 times deeper than 2MASS and 11 times deeper than VISTA Hemisphere Survey (VHS). A direct comparison with conventional VISTA data reduction pipelines demonstrates the advantages of NASIM in preserving diffuse emission without compromising compact source detection. All quantitative results presented in this paper are fully reproducible with Maneage (commit a02b40dd).

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Accepted/In Press date: 4 August 2025
e-pub ahead of print date: 9 September 2025
Additional Information: 14 pages, 12 figures, 1 table, 4 Appendices, Accepted in the Astronomy & Astrophysics Journal. The downloadable source (on arXiv) includes the full reproduction info in Maneage: https://maneage.org . It is also available with its Git history: https://gitlab.com/nasim-projects/pipeline (archived in SoftwareHeritage), and in Zenodo: https://zenodo.org/records/16152699
Keywords: Galaxy: general, infrared: diffuse background, methods: data analysis, surveys, techniques: image processing, telescopes

Identifiers

Local EPrints ID: 506804
URI: http://eprints.soton.ac.uk/id/eprint/506804
ISSN: 0004-6361
PURE UUID: b20aae73-10ec-411f-8f6a-bd535c413b9a
ORCID for Manda Banerji: ORCID iD orcid.org/0000-0002-0639-5141

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Date deposited: 18 Nov 2025 17:58
Last modified: 19 Nov 2025 02:59

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Contributors

Author: Elham Saremi
Author: Ignacio Trujillo
Author: Mohammad Akhlaghi
Author: Zohreh Ghaffari
Author: Johan H. Knapen
Author: Manda Banerji ORCID iD
Author: Helmut Dannerbauer
Author: Sébastien Comerón

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