7 Papers
8 Citations
B. Seli is an academic researcher from Konkoly Thege Miklós Astronomical Institute. The author has contributed to research in topics: Stars & Flare. The author has an hindex of 2, co-authored 7 publications. Previous affiliations of B. Seli include Eötvös Loránd University.
Chat about Author
Papers
Activity of TRAPPIST–1 analog stars observed with TESS
TL;DR: In this paper, a volume-limited sample up to 50 pc is constructed consisting of 339 stars closer than 0.5m 5 to TRAPPIST-1 on the Gaia color-magnitude diagram.
Towards the true number of flaring giant stars in the Kepler field. Are there flaring specialities associated with the giant nature
TL;DR: In this paper, the role of oscillation in suppressing magnetic activity is investigated, and the number of flaring giant stars in the Kepler field is estimated by analyzing the flaring activity of these stars.
11
Constraints on the physical properties of Type Ia supernovae from photometry
R. Konyves-Toth,J. Vinko,A. Ordasi,Krisztián Sárneczky,A. Bódi,B. Cseh,G. Csörnyei,Zoltán Dencs,O. Hanyecz,B. Ignácz,Cs. Kalup,L. Kriskovics,A. Pal,B. Seli,Ádám Sódor,R. Szakats,P. Székely,E. Varga-Verebélyi,K. Vida,G. Zsidi +19 more
TL;DR: In this paper, a photometric study of 17 Type Ia supernovae (SNe) based on multi-color (Bessell BVRI) data taken at Piszkesteto mountain station of Konkoly Observatory, Hungary between 2016 and 2018 is presented.
Toward the true number of flaring giant stars in the Kepler field: Are their flaring specialities associated with their being giant stars?
Katalin Oláh,Zs. Kővári,Maximilian N. Günther,Krisztián Vida,Patrick Gaulme,B. Seli,B. Seli,András Pál +7 more
TL;DR: In this paper, the number of flaring giant stars in the Kepler field has been estimated by analyzing the flaring activity of these stars, and the released flare energies have been explored.
9
•Posted Content
Extending the FIP bias sample to magnetically active stars. Challenging the FIP bias paradigm
B. Seli,K. Oláh,L. Kriskovics,Zs. Kővári,K. Vida,Lajos G. Balázs,J. M. Laming,L. van Driel-Gesztelyi,D. N. Baker +8 more
TL;DR: In this article, the authors used principal component analysis and linear discriminant analysis to find correlations with other astrophysical parameters within the sample which may influence the stellar FIP bias, the logarithmic abundance difference between low and high FIP elements in the corona, compared to the photosphere.
5