《天文學與計算》是一本同行評議的雜志，主要關注天文學、計算機科學和信息技術之間的廣泛領域。該雜志旨在出版科學家和（軟件）工程師在天文學計算的各個方面的工作，包括收集、分析、減少、可視化、保存和傳播數據，以及開發天文學軟件和模擬。該雜志涵蓋了學術計算機科學技術在天文學中的應用，以及信息技術在天文學中的新應用。該雜志對天文學中使用計算的廣泛貢獻敞開了大門。它接受定期的科學文章和評論文章，但也將考慮天文學調查的新軟件和數據發布的手稿，以及描述天文學研究和操作中信息技術實際應用結果（正面和負面）的“實踐報告”?？偟膩碚f，手稿應該對這個領域做出有價值的貢獻，并且應該表現出對該領域先前工作的適當熟悉，以及對同一問題的替代方法。強烈建議提供與數據或源代碼的可持續鏈接。所有的手稿都要經過同行評審。該期刊歡迎對各種主題的貢獻，包括：?科學軟件工程?計算基礎設施?用于天體物理模擬的計算技術?可視化?數據管理、檔案和虛擬天文臺?數據分析、數據挖掘和統計?數據處理管道和自動化系統?語義、數據引用和數據保存

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.The journal is open to a broad range of contributions about the use of computing used in astronomy. It accepts regular scientific articles and review articles, but will also consider manuscripts on new software and data releases of astronomical surveys, and "reports on practice" which describe the outcomes (positive and negative) of the practical application of informatics techniques within astronomy research and operations. 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. All manuscripts are subject to peer-review.The journal welcomes contributions on a variety of topics including:?Scientific software engineering?Computational infrastructure?Computational techniques used for astrophysical simulations?Visualization?Data management, archives, and virtual observatory?Data analysis, data mining and statistics?Data processing pipeline and automated systems?Semantics, data citation and data preservation