N. Chihara , T. Takata , Y. Fujiwara , K. Noda , K. Toyoda , K. Higuchi , M. Onizuka
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引用次数: 0
Abstract
This paper tackles the problem of effectively detecting variable celestial objects whose brightness periodically changes over time. This problem is crucial in studying the evolution and structure of the universe and elucidating physical phenomena. The method by Sesar et al. is one of the popular approaches used in detecting variable celestial objects that uses statistical data of celestial time series, such as intrinsic variability and , etc. However, since statistical data is an aggregation of celestial time series, the previous approaches do not take advantage of the periodicity, which is the inherent characteristic of variable celestial objects; it fails to find variable celestial objects effectively. To solve such a problem, we propose an approach to detecting variable celestial objects using periodic analysis. Our approach uses sparse modeling as periodic analysis since celestial time series is typically sparse and sparse modeling can effectively obtain periodicities of the celestial objects from sparse time series. By exploiting the periodicities of the celestial objects as features, we perform binary classification to estimate whether a celestial object is a variable celestial object. To show the effectiveness of our approach, we evaluated our approach using Hyper SuprimeCam (HSC) PDR2 dataset, and we confirmed that AUC of our approach is 0.939 while AUC of the previous approach is 0.750; our approach can more effectively detect variable celestial objects.
Astronomy and ComputingASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
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.