An UBVRI calibration method based on Pan-STARRS photometric survey

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-10-01 DOI:10.1016/j.ascom.2023.100755

X. Li , X. Zeng , A. Esamdin , S. Zheng , Y. Zhang

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引用次数: 0

Abstract

The Landolt’s standard stars catalog is the most widely utilized for CCD astronomy in the $U B V R I$ broad band photometry system. The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is one of the usage of the newly $g r i z y$ photometric system. In this work, the main objective of this paper is to calibrate observations in the U, B, V, R, and I bands by utilizing data in the g, r, and i bands from the literature. First, the machine learning based method XGBoost is employed to train a model for selecting objects with linear relations between the two catalogs. Then, the color transformation method is utilized to convert objects with $g r i$ magnitudes of Pan-STARRS1 (PS1) catalog to the $U B V R I$ system, and a set of transformation coefficients is presented. A photometric calibration system is developed and the color based calibration method is implemented in the system. The typical calibration errors of standard field $G D 279$ from instrumental magnitudes to those of standard $U B V R I$ system are derived as 0.173mag, 0.053mag, 0.024mag, 0.019mag, 0.020mag, respectively. Furthermore, the light curve comparison of SN 2017hpa of a large number of observations from different nights suggests that this method can be qualified for various astrometric observations.

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基于泛STARRS光度测量的UBVRI校准方法

Landolt标准星表是UBVRI宽带测光系统中CCD天文学应用最广泛的星表。全景巡天望远镜和快速反应系统(Pan-STARRS)是新型灰光测光系统的应用之一。在这项工作中，本文的主要目标是利用文献中g、R和I波段的数据来校准U、B、V、R和I波段的观测值。首先，采用基于机器学习的XGBoost方法训练一个模型，用于选择两个目录之间具有线性关系的对象。然后，利用颜色变换方法将Pan-STARRS1 (PS1)星表的灰度等对象转换为UBVRI系统，并给出了一组变换系数。开发了光度校正系统，并在系统中实现了基于颜色的校正方法。从仪器震级推导出标准场GD279与标准UBVRI系统的典型标定误差分别为0.173、0.053、0.024、0.019、0.020。此外，通过对SN 2017hpa不同夜晚大量观测数据的光曲线比较，表明该方法可以适用于各种天文测量观测。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.