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Exploring Damping Properties of IRIS Bright Points using Deep Learning Techniques

Published online by Cambridge University Press:  23 December 2024

E. Tavabi Open the ORCID record for E. Tavabi [Opens in a new window]  and
R. Sadeghi Open the ORCID record for R. Sadeghi [Opens in a new window]
E. Tavabi*
Affiliation:
Physics Department, Payame Noor University, Tehran, Iran, 19395-3697
R. Sadeghi
Affiliation:
Physics Department, Payame Noor University, Tehran, Iran, 19395-3697
*
email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

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This study analyzed the Doppler shift in the solar spectrum using the Interface Region Imaging Spectrograph (IRIS). Two types of oscillations were investigated: long period damp and short period damp. The researchers observed periodic perturbations in the Doppler velocity oscillations of bright points (BPs) in the chromosphere and transition region (TR). Deep learning techniques were used to examine the statistical properties of damping in different solar regions. The results showed variations in damping rates, with higher damping in coronal hole areas. The study provided insights into the damping behavior of BPs and contributed to our understanding of energy dissipation processes in the solar chromosphere and TR.

Keywords

deep learningbright pointsoscillationDoppler velocity
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 19 , Symposium S365: Dynamics of Solar and Stellar Convection Zones and Atmospheres , December 2023 , pp. 399 - 403
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

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