Conveners
Day 1: Session 4
- Juan Sebastian Castellanos Duran (MPS)
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Santiago Vargas-Domínguez (Universidad Nacional de Colombia - Observatorio Astronómico Nacional)02/06/2026, 16:00Science MeetingInvited
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Andreas Lagg (MPS)02/06/2026, 16:15Science Meeting
In this presentation I summarize my early-science paper, where we report on the direct measurement of the height dependence of $p$-mode phase shifts in the lower solar atmosphere.
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The line-core positions of 19 spectral lines in a 2 nm-wide window around the Ca II H line (396.8 nm) were used to determine the vertical oscillations at their respective formation heights. We find that the phases... -
Pietro Bernasconi (JHU/APL)02/06/2026, 16:30Science Meeting
We present our first result on the reconstruction of vector magnetic fields in the emerging flux region labeled 02_EMEF from vector polarimetric data acquired by TuMag/Sunrise III on July 10, 2024 from 19:14 to 21:47 UT. The full dataset is composed of a time series of 97 sets of vector polarimetric spectral images taken across the Fe I 5250.2 A (a photospheric line) and Mg I b2 5172.7 A (a...
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Manolis Georgoulis (Johns Hopkins APL)02/06/2026, 16:45Science Meeting
Following an effort (see abstract by P. Bernasconi et al.) to infer the magnetic field components of TuMag sample 02_EMEF (emerging flux region) in the absence of a full inversion process, we present a preliminary magnetic field analysis of this dataset. We possess 97 sets of Fe I and Mg I Stokes profiles at Levels 1.0 and 1.1, with a mean cadence of 82.8 sec, taken roughly between 19:14 and...
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Dusan Vukadinovic (Institute of Physics, University of Graz)02/06/2026, 17:00Science Meeting
To fully exploit the rich SCIP observations, it is important to update the atomic data of observed lines. In this contribution, I will discuss the procedure to identify lines with poorly constrained parameters, such as the transition probability, and how these are inferred from observations, self-consistently with the physical parameters. For this purpose I use SCIP observations of an emerging...
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Daniel Ramos (GNOI)02/06/2026, 17:15Science Meeting
We present an analysis of magnetic bright points (BPs) using high-resolution images from the SUSI instrument. We built a neural network to detect automatic BPs in thousands of reconstructed SJ images, and from this, a morphological analysis is performed to characterise properties such as area, length, and proper motion velocities.
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