MAR: A Multiband Astronomical Reduction package

IF 1.9 4区物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS

Astronomy and Computing Pub Date : 2024-11-22 DOI:10.1016/j.ascom.2024.100899

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

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引用次数: 0

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.

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来源期刊

Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.10

自引率

8.00%

发文量

期刊介绍： Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.