Astronomy and Computing

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官方网站：http://www.journals.elsevier.com/astronomy-and-computing/

投稿网址：https://www.evise.com/evise/faces/pages/navigation/NavController.jspx?JRNL_ACR=ASCOM

PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2213-1337%5BISSN%5D

《天文学与计算》是一本同行评议的杂志，主要关注天文学、计算机科学和信息技术之间的广泛领域。该杂志旨在出版科学家和（软件）工程师在天文学计算的各个方面的工作，包括收集、分析、减少、可视化、保存和传播数据，以及开发天文学软件和模拟。该杂志涵盖了学术计算机科学技术在天文学中的应用，以及信息技术在天文学中的新应用。该杂志对天文学中使用计算的广泛贡献敞开了大门。它接受定期的科学文章和评论文章，但也将考虑天文学调查的新软件和数据发布的手稿，以及描述天文学研究和操作中信息技术实际应用结果（正面和负面）的“实践报告”。总的来说，手稿应该对这个领域做出有价值的贡献，并且应该表现出对该领域先前工作的适当熟悉，以及对同一问题的替代方法。强烈建议提供与数据或源代码的可持续链接。所有的手稿都要经过同行评审。该期刊欢迎对各种主题的贡献，包括：?科学软件工程?计算基础设施?用于天体物理模拟的计算技术?可视化?数据管理、档案和虚拟天文台?数据分析、数据挖掘和统计?数据处理管道和自动化系统?语义、数据引用和数据保存

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