Astronomy and Computing

Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science, software development 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 of computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.

The journal is open to a broad range of contributions about the use of computing in astronomy. It encourages unsolicited submissions of regular scientific articles, of manuscripts on new software releases and data releases of astronomical surveys, and of "reports on practice" which describe the outcomes (positive and negative) of the practical application of informatics techniques within astronomy research and operations. Authors wishing instead to submit review articles, white papers and target articles, as well as ideas for special issues of the journal are expected to first contact members of the Editorial Board.

In general, manuscripts should make a valuable contribution to the field and should display an appropriate familiarity with previous work in the area and alternative approaches to the same problem. Providing a sustainable link to data or source code is strongly encouraged (and is required in the case of manuscripts on data or software releases, respectively). All manuscripts are subject to peer-review. The journal welcomes contributions on a variety of topics including:

• Astroinformatics and analytics

• Astrophysical simulations

• Astrostatistics and machine learning

• Computational infrastructure

• Data analysis and statistics

• Data curation and preservation

• Data management, archives, and virtual observatory

• Data mining

• Data processing pipelines and automated systems

• General computational techniques used for astronomy

• Scientific software engineering

• Semantics

• Visualization