论文标题

开放群集的差分和全天圈光度法分析的基础

Fundamentals of Differential and All-Sky Aperture Photometry Analysis for an Open Cluster

论文作者

Kaur, Kanwar Preet, Joshi, Pankaj S.

论文摘要

本文提供了有关孔径光度法分析的基本原理的详细说明。彻底描述了差分和全天空光孔光度计技术,以描述两种技术之间的差异及其选择,以确定恒星的幅度及其各自的幅度误差。全面的光度法分析所需的关键校准参数,例如大气灭绝提高,空气,零点,颜色项和颜色指数,并通过从斯隆数字天空调查(SDSS)存档中进行了全面讨论。全天空孔径光度法技术应用于开放群集NGC 2420的恒星,以确定它们在G,R和I频段中的校准幅度和幅度误差。分析所需的图像是从SDSS III存档的数据发布DR12中提取的。在此,光度法分析由Makali'i:Subaru Image处理器(基于Windows的软件)执行。该软件具有简单而有效的GUI,它可以单击一键,可提供星光。本文将有助于通过手动扫描天文图像来提供对光圈光度法物理学的见解。此外,将g,r和i的幅度转换为约翰逊·库素UBVRI光度法的B,V和R带幅度。还提供了两个标准光度法系统的颜色级图。

This article provides detailed description on the fundamentals of aperture photometry analysis. The differential and all-sky aperture photometry techniques are described thoroughly to depict the difference between the two techniques and their selection for determining the stars' magnitudes and their respective magnitude errors. The crucial calibration parameters required for the all-sky photometry analysis such as atmospheric extinctioncoefficient, air-mass, zero point, color term and color index are discussed comprehensively with their extraction from the Sloan Digital Sky Survey (SDSS) archive. The all-sky aperture photometry technique is applied on the stars of an open cluster NGC 2420 to determine their calibrated magnitudes and magnitude errors in the g, r, and i bands. The images required for the analysis are extracted from data release DR12 of SDSS III archive. Herein, the photometry analysis is performed by the Makali'i: SUBARU Image Processor, a Windows-based software. This software has a simple yet effective GUI and it provides the starlight minus the background sky light value with a single click. This article would aid in providing the insight into the physics of aperture photometry by manually scanning the astronomical images. In addition, the g, r, and i magnitudes are transformed to B, V, and R band magnitudes of Johnson-Cousins UBVRI photometric system. The color magnitude diagram for both the standard photometry systems are also provided.

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