全帧数据约简方法：一种用于探测光学测光中潜在光变的数据挖掘工具
Full-frame data reduction method: a data mining tool to detect the potential variations in optical photometry
AI总结：
本文提出全帧数据约简方法，开发 SPDE 和 LCA 程序对中小口径望远镜时间序列进行全视场测光数据挖掘，从两个激变变星场中识别出 32 条潜在变星光变曲线并汇编多波段物理参数。
摘要：
本文开发了一种同步测光数据提取（SPDE）程序，通过整合多个 Astropy 附属软件包，对天文图像同一视场中出现的所有恒星进行无差别监测，以充分利用传统中小口径地面望远镜观测到的时间序列。针对两个激变变星时间序列 RX J2102.0+3359 和 Paloma J0524+4244 实施的完整全帧恒星测光数据约简，分别产生了 363 条和 641 条最优光变曲线。与 SIMBAD 的交叉证认发现了 23 颗已知恒星，其中 16 颗为红巨星/水平支星，2 颗为 W UMa 型食双星，2 颗为程序目标星，1 个 X 射线源和 2 个小行星 terrestrial-impact last alert system 变星。基于 SPDE 程序的数据产出，后续的光变曲线分析（LCA）程序识别出 32 条潜在变星光变曲线，其中 18 条来自 RX J2102.0+3359 的时间序列，14 条来自 Paloma J0524+4244 的时间序列。这些光变曲线被初步分为周期型、暂现型和特殊型。通过查询 58 个 VizieR 在线数据星表，汇编了它们从 X 射线到射电波段的物理参数和多波段亮度，以供未来分析使用。
英文摘要：
A Synchronous Photometry Data Extraction (SPDE) program, performing indiscriminate monitors of all stars appearing at the same field of view of astronomical image, is developed by integrating several Astropy affiliated packages to make full use of time series observed by the traditional small/medium aperture ground-based telescope. The complete full-frame stellar photometry data reductions implemented for the two time series of cataclysmic variables: RX J2102.0+3359 and Paloma J0524+4244 produce 363 and 641 optimal light curves, respectively. A cross-identification with the SIMBAD finds 23 known stars, of which 16 red giant-/horizontal-branch stars, 2 W UMa-type eclipsing variables, 2 program stars, a X-ray source and 2 Asteroid Terrestrial-impact Last Alert System variables. Based on the data productions of the SPDE program, a followup Light Curve Analysis (LCA) program identifies 32 potential variable light curves, of which 18 are from the time series of RX J2102.0+3359, and 14 are from that of Paloma J0524+4244. They are preliminarily separated into periodical, transient, and peculiar types. By querying for the 58 VizieR online data catalogs, their physical parameters and multi-band brightness spanning from X-ray to radio are compiled for future analysis.
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