使用人工神经网络搜索边缘星系

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

Astronomy and Computing Pub Date : 2023-11-30 DOI:10.1016/j.ascom.2023.100771

S.S. Savchenko , D.I. Makarov , A.V. Antipova , I.S. Tikhonenko

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引用次数: 0

摘要

我们提出了一种人工神经网络方法在现代宽视场巡天Pan-STARRS1上的应用，以建立一个高质量的盘状星系在边缘方向上可见的样本。这样的星系在研究恒星、气体和尘埃的垂直分布方面起着重要的作用，这在银河系以外的其他星系通常是无法研究的。详细描述了网络结构和学习过程。该方法显示出良好的有效性，检测率约为97%，而且它对各种亮度和大小的星系同样有效，结果创建了一个包含105个物体的边缘星系目录。目录以开放获取方式在线发布。

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Search for the edge-on galaxies using an artificial neural network

We present an application of an artificial neural network methodology to a modern wide-field sky survey Pan-STARRS1 in order to build a high-quality sample of disk galaxies visible in edge-on orientation. Such galaxies play an important role in the study of the vertical distribution of stars, gas and dust, which is usually not available to study in other galaxies outside the Milky Way. We give a detailed description of the network architecture and the learning process. The method demonstrates good effectiveness with detection rate about 97% and it works equally well for galaxies over a wide range of brightnesses and sizes, which resulted in a creation of a catalogue of edge-on galaxies with $1 0^{5}$ of objects. The catalogue is published on-line with an open access.

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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.