Chromospheric swirls I. Automated detection in H$\alpha$ observations and their statistical properties

TL;DR

This study presents an automated detection method for chromospheric swirls in H-alpha observations, revealing their higher abundance, larger sizes, and longer lifetimes than previously reported, thus advancing understanding of solar atmospheric dynamics.

Contribution

The paper introduces a novel automated detection algorithm for chromospheric swirls, enabling comprehensive statistical analysis and revealing new properties of these features.

Findings

Detected an average of 146 swirls at any time in the observed region.

Found swirl radii between 0.5 and 2.5 Mm, averaging 1.3 Mm.

Estimated mean swirl lifetime of approximately 10.3 minutes.

Abstract

Chromospheric swirls are considered to play a significant role in the dynamics and heating of the upper solar atmosphere. It is important to automatically detect and track them in chromospheric observations and determine their properties. We applied a recently developed automated chromospheric swirl detection method to time-series observations of a quiet region of the solar chromosphere obtained in the H$\alpha$-0.2 \r{A} wavelength of the H$\alpha$ spectral line by the CRISP instrument at the Swedish 1-m Solar Telescope. The algorithm exploits the morphological characteristics of swirling events in high contrast chromospheric observations and results in the detection of these structures in each frame of the time series and their tracking over time. We conducted a statistical analysis to determine their various properties, including a survival analysis for deriving the mean lifetime. A mean number of 146 $\pm$ 9 swirls was detected within the FOV at any given time. The mean surface density is found equal to $\sim$0.08 swirls$ $Mm$^{-2}$ and the occurrence rate is $\sim$10$^{-2}$ swirls$ $Mm$^{-2}$ min$^{-1}$. These values are much higher than those previously reported from chromospheric observations. The radii of the detected swirls range between 0.5 and 2.5 Mm, with a mean value equal to 1.3 $\pm$ 0.3 Mm, which is slightly higher than previous reports. The lifetimes range between 1.5 min and 33.7 min with an arithmetic mean value of $\sim$8.5 min. A survival analysis of the lifetimes, however, using the Kaplan-Meier estimator in combination with a parametric model results in a mean lifetime of 10.3 $\pm$ 0.6 min. An automated method sheds more light on their abundance than visual inspection, while higher cadence, higher resolution observations will most probably result in the detection of a higher number of such features on smaller scales and with shorter lifetimes.