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Research article2025

MAR: A Multiband Astronomical Reduction package

G.B. Oliveira Schwarz†, F. Herpich, F. Almeida-Fernandes, L. Nakazono, N.M. Cardoso, E. Machado-Pereira, W. Schoenell, H.D. Perottoni, K. Menéndez-Delmestre, L. Sodré, A. Kanaan, T. Ribeiro

† Corresponding author

Astronomy & Computing, 2025DOI:10.1016/j.ascom.2024.100899

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Cross-index citation summary

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Web of Science1
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NASA Astrophysical Data System3
Google Scholar7

Citation counts updated 19 October 2026

Cover of Astronomy & Computing
ElsevierElsevierElsevier

Impact Factor • 2.6

Journal Impact Factor from the Journal Citation Reports 2025Journal Impact Factor from the Journal Citation Reports 2025

Astronomy & Computing

April 2025

Elsevier

Abstract

The Multiband Astronomical Reduction (MAR) is a multithreaded data reduction pipeline designed to handle raw astronomical images from the Southern Photometric Local Universe Survey, transforming them into frames that are ready for source extraction, photometry and flux calibration. MAR is a complete software written almost entirely in Python, with a flexible object-oriented approach, simplifying the implementation of new moduli. It contains a Python package, mar, with all essential operations to be used, a server where the pipeline resides, an interface that allows users to navigate quickly, and a database to store all data as well as important information and procedures applied to the images. MAR is now regularly used to process data from the Southern Photometric Local Universe Survey, but its methods may be used for developing other multiband data reduction packages. This paper explains each pipeline modulus of MAR and describes how its routines work.

Citation

reference.bib
@article{mar,
  title = {{MAR}: {A} {Multiband} {Astronomical} {Reduction} package},
  volume = {51},
  issn = {22131337},
  shorttitle = {{MAR}},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S2213133724001148},
  doi = {10.1016/j.ascom.2024.100899},
  language = {en},
  urldate = {2025-01-18},
  journal = {Astronomy and Computing},
  author = {Schwarz, G.B. Oliveira and Herpich, F. and Almeida-Fernandes, F. and Nakazono, L. and Cardoso, N.M. and Machado-Pereira, E. and Schoenell, W. and Perottoni, H.D. and Menéndez-Delmestre, K. and Sodré, L. and Kanaan, A. and Ribeiro, T.},
  month = apr,
  year = {2025},
  pages = {100899},
}

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