中国天文底片数字化数据：单次曝光底片测光星表及变源候选集

中国底片数字化团队对国内15696张质量较高的单次曝光天文底片数字化数据进行了位置和流量测量，并于2024年4月释放了这批数据。 在本工作中，我们提出了一种针对底片数据的流量校准方法，使用BEST数据库中构建的标准星（https://nadc.china-vo.org/data/best/），将这些底片流量数据校准到标准的JKC测光系统。本次发布的测光星表包含3000多万颗唯一源的2亿余次观测数据，典型测光精度达到0.1-0.2mag。基于该测光星表（table目录下），我们筛选出了280万颗候选变源，并收集了它们的光变曲线，组成了变源候选集(vars目录下)。 其中测光星表命名格式为：底片名称-定标波段.fits；变源候选体命名格式为Gaia DR3的sourceID.fits。

The China Plate Digitization Team conducted position and flux measurements on high-quality single-exposure astronomical plate digitization data of 15,696 domestic astronomical plates, and released this dataset in April 2024. In this work, we propose a flux calibration method tailored for astronomical plate data: using standard stars constructed from the BEST database (https://nadc.china-vo.org/data/best/), we calibrated the plate flux data to the standard JKC photometric system. The newly released photometric catalog contains over 200 million observations of more than 30 million unique sources, with a typical photometric accuracy of 0.1–0.2 mag. Based on this photometric catalog stored under the `table` directory, we selected 2.8 million candidate variable sources and collected their light curves to form the variable source candidate set stored under the `vars` directory. The naming convention for photometric catalog files is: `plate_name-calibration_band.fits`; while variable source candidate files are named using their Gaia DR3 source ID as `sourceID.fits`.

搜集汇总

背景与挑战

背景概述

该数据集来自中国天文底片数字化项目，涵盖了五个天文台近100年观测的约15,000张单次曝光底片的测光星表，校准到JKC系统，精度高达0.05-0.23星等，并包含变源候选体，适用于天文数据校准和变星研究。