An Interactive Multi-instrument Database of Solar Flares
An Interactive Multi-instrument Database of Solar Flares
复制标题
DOI：
10.3847/1538-4365/aa79a9
复制
发表时间：
2017-02
期刊：
影响因子：
--
通讯作者：
V. Sadykov;A. Kosovichev;Vincent Oria;G. Nita
中科院分区：
文献类型：
--
作者：
V. Sadykov;A. Kosovichev;Vincent Oria;G. Nita
太阳耀斑是一种复杂的物理现象，可以在从无线电波到γ射线的广泛电磁频谱范围内观察到。为了更全面地了解耀斑，有必要利用许多卫星和地面观测站的观测结果进行组合的多波长分析。为了有效地进行数据搜索，整合不同的耀斑列表，并表示观测数据，我们开发了太阳耀斑的交互式多仪器数据库（IMIDSF，https：//solarflare.njit.edu/）。可上网查阅的数据库功能齐全，用户可根据耀斑事件的物理描述符和特定一套仪器的观测数据搜索唯一确定的耀斑事件。目前，来自三个主要耀斑列表的数据（地球静止运行环境卫星、RHESSI和HEK）和各种其他事件目录（Hinode，Fermi GBM，Konus-WIND，OVSA耀斑目录，CACTus CME目录，Filament喷发目录）和观测日志（IRIS和Nobeyama覆盖范围）已整合，另外还提供了一套物理描述符（温度和发射测量）沿着以及自2002年1月以来每次耀斑事件的观测摘要、数据链路和多波长光变曲线。我们预计，这个新工具将使研究人员能够显着加快对统计和案例研究感兴趣的事件的搜索速度。
Solar flares are complicated physical phenomena that are observable in a broad range of the electromagnetic spectrum, from radio waves to γ-rays. For a more comprehensive understanding of flares, it is necessary to perform a combined multi-wavelength analysis using observations from many satellites and ground-based observatories. For an efficient data search, integration of different flare lists, and representation of observational data, we have developed the Interactive Multi-Instrument Database of Solar Flares (IMIDSF, https://solarflare.njit.edu/). The web-accessible database is fully functional and allows the user to search for uniquely identified flare events based on their physical descriptors and the availability of observations by a particular set of instruments. Currently, the data from three primary flare lists (Geostationary Operational Environmental Satellites, RHESSI, and HEK) and a variety of other event catalogs (Hinode, Fermi GBM, Konus-WIND, the OVSA flare catalogs, the CACTus CME catalog, the Filament eruption catalog) and observing logs (IRIS and Nobeyama coverage) are integrated, and an additional set of physical descriptors (temperature and emission measure) is provided along with an observing summary, data links, and multi-wavelength light curves for each flare event since 2002 January. We envision that this new tool will allow researchers to significantly speed up the search of events of interest for statistical and case studies.