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arXiv 2303.06255astro-ph.HEastro-ph.IM
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BatAnalysis —— 用于Swift BAT巡天分析的综合Python流水线

BatAnalysis -- A Comprehensive Python Pipeline for Swift BAT Survey Analysis

Tyler Parsotan, Sibasish Laha, David M. Palmer, Amy Lien, S. Bradley Cenko, Hans Krimm, Craig Markwardt

AI总结:

针对Swift BAT巡天数据分析复杂且缺乏易用流水线的问题,提出开源Python包BatAnalysis作为HEASoftpy的封装,提供现代数据处理流水线,并通过分析Crab Pulsar等源验证其准确性,使约18年BAT巡天数据得以系统利用。

摘要:

Swift Burst Alert Telescope (BAT) 是一种具有大视场的编码孔径伽马射线仪器,在不触发瞬变事件时主要以巡天模式运行。巡天数据由八十通道探测器平面直方图组成,这些直方图在至少5分钟的时间段内累积光子计数。这些直方图在地面进行处理,用于生成14至195 keV之间的巡天数据集。按数据量计算,巡天数据占所有BAT数据的90%以上,可用于追踪已编目和未编目的硬X射线源的长期光变曲线和光谱特性。迄今为止,由于分析复杂性以及缺乏易于使用的流水线,巡天数据集尚未得到充分利用。在此,我们介绍BatAnalysis python包,它是HEASoftpy的封装,提供了一个现代的、开源的流水线来处理和分析BAT巡天数据。BatAnalysis允许社区成员将BAT巡天数据用于对天体物理源的更高级分析,包括脉冲星、脉冲星风云、活动星系核,以及可能在硬X射线波段检测到的其他已知/未知瞬变事件。我们概述了该python代码采取的步骤,并通过分析来自Crab Pulsar、NGC 2992以及一个先前未编目的MAXI Transient的巡天数据,展示了其有用性和准确性。BatAnalysis包允许以系统的方式使用约18年的BAT巡天数据来研究各种天体物理源。

英文摘要:

The Swift Burst Alert Telescope (BAT) is a coded aperture gamma-ray instrument with a large field of view that primarily operates in survey mode when it is not triggering on transient events. The survey data consists of eighty-channel detector plane histograms that accumulate photon counts over time periods of at least 5 minutes. These histograms are processed on the ground and are used to produce the survey dataset between $14$ and $195$ keV. Survey data comprises $> 90\%$ of all BAT data by volume and allows for the tracking of long term light curves and spectral properties of cataloged and uncataloged hard X-ray sources. Until now, the survey dataset has not been used to its full potential due to the complexity associated with its analysis and the lack of easily usable pipelines. Here, we introduce the BatAnalysis python package , a wrapper for HEASoftpy, which provides a modern, open-source pipeline to process and analyze BAT survey data. BatAnalysis allows members of the community to use BAT survey data in more advanced analyses of astrophysical sources including pulsars, pulsar wind nebula, active galactic nuclei, and other known/unknown transient events that may be detected in the hard X-ray band. We outline the steps taken by the python code and exemplify its usefulness and accuracy by analyzing survey data from the Crab Pulsar, NGC 2992, and a previously uncataloged MAXI Transient. The BatAnalysis package allows for $\sim$ 18 years of BAT survey to be used in a systematic way to study a large variety of astrophysical sources.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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