Abstract Details


Name: Vaibhav Pant
Affiliation: Aryabhatta Research Institute of Observational Sciences
Conference ID: TVS202510315
Title: Inferring physical parameters of solar filaments using co-existing longitudinal and transverse oscillations
Authors and Co-Authors: Upasna Baweja, Iñigo Arregui
Abstract Type: Contributory Presentation
Abstract: Oscillations in solar filaments are widely reported, offering valuable insights into the plasma and magnetic field structure of the solar atmosphere. While both longitudinal and transverse modes have been studied independently, the simultaneous occurrence of these oscillations in a single filament is relatively rare. Such observations are particularly important, as they allow more stringent constraints on filament parameters through magnetohydrodynamic (MHD) seismology. In this study, we apply Bayesian inference to perform magneto-seismological inversions of coexisting longitudinal and transverse oscillations. Specifically, we derive the magnetic field strength and the length of the supporting flux tube by employing three different prior distributions for the magnetic field: uniform, gamma, and Gaussian. The estimated flux-tube length is subsequently used to calculate the number of magnetic twists. Our results indicate that the twist numbers in the filaments under study do not exceed two. Furthermore, the Bayesian framework provides a robust means of quantifying uncertainties and assessing the sensitivity of inferred parameters to prior assumptions. Overall, this work demonstrates the potential of Bayesian magneto-seismology as a systematic approach to probing filament properties. By combining rare multi-mode oscillation events with probabilistic inference, we highlight a pathway to more precise diagnostics of solar prominences and their magnetic environments.