Velocities of an Erupting Filament

TL;DR

This study analyzes the velocity, temperature, and structural evolution of an erupting solar filament using multi-instrument high-resolution spectra and imaging, revealing insights into eruption dynamics and potential for real-time CME prediction.

Contribution

It demonstrates that full-disk chromospheric Dopplergrams can effectively trace initial filament eruption phases in real-time, aiding CME modeling.

Findings

Filament velocities reached up to 430 km/s during eruption.

Temperature increased by 13,000 K during eruption.

Filament acceleration followed an exponential trend.

Abstract

Solar filaments exist as stable structures for extended periods of time before many of them form the core of a CME. We examine the properties of an erupting filament on 2017 May 29--30 with high-resolution He I 10830 A and Halpha spectra from the Dunn Solar Telescope, full-disk Dopplergrams of He I 10830 A from the Chromospheric Telescope, and EUV and coronograph data from SDO and STEREO. Pre-eruption line-of-sight velocities from an inversion of He I with the HAZEL code exhibit coherent patches of 5 Mm extent that indicate counter-streaming and/or buoyant behavior. During the eruption, individual, aligned threads appear in the He I velocity maps. The distribution of velocities evolves from Gaussian to strongly asymmetric. The maximal optical depth of He I 10830 A decreased from tau = 1.75 to 0.25, the temperature increased by 13 kK, and the average speed and width of the filament increased from 0 to 25 km s-1 and 10 to 20 Mm, respectively. All data sources agree that the filament rose with an exponential acceleration reaching 7.4 m s-2 that increased to a final velocity of 430 km s-1 at 22:24 UT; a CME was associated with this filament eruption. The properties during the eruption favor a kink/torus instability, which requires the existence of a flux rope. We conclude that full-disk chromospheric Dopplergrams can be used to trace the initial phase of on-disk filament eruptions in real-time, which might potentially be useful for modelling the source of any subsequent CMEs.