The Thermal Properties of Solar Flares Over Three Solar Cycles Using GOES X-ray Observations
Daniel F. Ryan, Ryan O. Milligan, Peter T. Gallagher, Brian R. Dennis,, A. Kim Tolbert, Richard A. Schwartz, C. Alex Young

TL;DR
This study introduces an automated method (TEBBS) for analyzing GOES X-ray data to derive thermal properties of over 50,000 solar flares across three solar cycles, revealing new scaling relationships and trends.
Contribution
The paper presents a novel automated background subtraction method (TEBBS) for GOES X-ray data, enabling large-scale analysis of solar flare thermal properties over three solar cycles.
Findings
Peak emission measure and radiative losses scale with GOES flux as power-laws.
Peak temperature scales logarithmically with GOES flux.
Flares of a given GOES class have lower peak temperatures and higher emission measures than previously reported.
Abstract
Solar flare X-ray emission results from rapidly increasing temperatures and emission measures in flaring active region loops. To date, observations from the X-Ray Sensor (XRS) onboard the Geostationary Operational Environmental Satellite (GOES) have been used to derive these properties, but have been limited by a number of factors, including the lack of a consistent background subtraction method capable of being automatically applied to large numbers of flares. In this paper, we describe an automated temperature and emission measure-based background subtraction method (TEBBS), which builds on the methods of Bornmann (1990). Our algorithm ensures that the derived temperature is always greater than the instrumental limit and the pre-flare background temperature, and that the temperature and emission measure are increasing during the flare rise phase. Additionally, TEBBS utilizes the…
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