Frequency Distribution of Acoustic Oscillation in the Solar Atmosphere During Flare Event

TL;DR

This study analyzes multi-wavelength solar observations to understand acoustic wave behavior during a flare, revealing frequency-specific wave generation and potential for improved flare prediction.

Contribution

It provides new insights into the spatial and frequency distribution of acoustic waves during a solar flare, using comprehensive multi-instrument data.

Findings

High-frequency waves originate at chromospheric foot-points before and after the flare.

Post-flare oscillation power concentrates in the pore area.

Detection of high-frequency waves can aid in flare prediction.

Abstract

We present a study of multi-wavelength observations, of a C 2.3 solar flare in Active Region NOAA 12353, observed on 2015 May 23, which reveal new properties of acoustic waves in the flaring region. The space-, and ground-based data measured by the HELioseismological Large Regions Interferometric Device, operating at the Vacuum Tower Telescope, the Atmospheric Imaging Assembly, and Helioseismic and Magnetic Imager on board the Solar Dynamic Observatory, were used in this paper. First, using power spectra of solar oscillations, we identified the dominant frequencies and their location at seven different atmospheric levels before and after the flare event. Second, based on AIA observations taken in six Extreme Ultraviolet filters, we derived Differential Emission Measure (DEM) profiles and DEM maps of the flare. Finally, we confirm the {\sigma}-classification of the magnetic field in the active area, directly related to the flare. Our results are as follows: the high-frequency waves ({\nu}>5 mHz) in the photosphere, in both cases, before and after the flare, are generated at the foot-points of the chromospheric loop, while in the chromosphere (H{\alpha} line), before the event the power enhancement exhibits for maximum of flare emission, and after the eruption the enhancement by all frequencies is observed only in the post flare loop area. Moreover, the power of oscillation in the pores surrounding area before the flare has a random character, while after the flare oscillation's power is concentrated in the pore, and weakened outside of. We conclude that the accurate detection of high-frequency acoustic waves in the active regions can lead to faster and easier prediction of high-energy events.