# Interactive Multi-Instrument Database of Solar Flares

## TL;DR

The paper introduces an interactive, web-based multi-instrument database for solar flares that integrates various observational data and catalogs, facilitating comprehensive multi-wavelength analysis and faster event search for researchers.

## Contribution

It presents a new fully functional database that combines multiple flare catalogs and observational data, enabling efficient multi-wavelength solar flare analysis.

## Key findings

- Integrated data from multiple flare catalogs and observatories.
- Provides physical descriptors, observation summaries, and light curves.
- Enhances speed and efficiency of solar flare event searches.

## Abstract

Solar flares are complicated physical phenomena that are observable in a broad range of the electromagnetic spectrum, from radiowaves to $\gamma$-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 efficient data search, integration of different flare lists and representation of observational data, we have developed an Interactive Multi-Instrument Database of Solar Flares (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 availability of observations by a particular set of instruments. Currently, the data from three primary flare lists (GOES, RHESSI and HEK) and a variety of other event catalogs (Hinode, Fermi GBM, Konus-Wind, OVSA flare catalogs, CACTus CME catalog, 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 January, 2002. We envision that this new tool will allow researchers to significantly speed up the search of events of interest for statistical and case studies.