Article (Scientific journals)
The solar beryllium abundance revisited with 3D non-LTE models
Amarsi, A.M.; Ogneva, D.; Buldgen, Gaël et al.
2024In Astronomy and Astrophysics, 690, p. 128
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Keywords :
Atomic processes; Line: formation; Radiative transfer; Sun: abundances; Sun: evolution; Sun: photosphere; Atomic process; Line formations; Local thermodynamic equilibrium; Nonlocal; Solar atmosphere; Solar modeling; Thermodynamic equilibrium modeling; Astronomy and Astrophysics; Space and Planetary Science
Abstract :
[en] The present-day abundance of beryllium in the solar atmosphere provides clues about mixing mechanisms within stellar interiors. However, abundance determinations based on the BeII313.107 nm line are prone to systematic errors due to imperfect model spectra. These errors arise from missing continuous opacity in the UV, a significant unidentified blend at 313.102 nm, departures from local thermodynamic equilibrium (LTE), and microturbulence and macroturbulence fudge parameters associated with one-dimensional (1D) hydrostatic model atmospheres. Although these factors have been discussed in the literature, no study has yet accounted for all of them simultaneously. To address this, we present 3D non-LTE calculations for neutral and ionised beryllium in the Sun. We used these models to derive the present-day solar beryllium abundance, calibrating the missing opacity on high resolution solar irradiance data and the unidentified blend on the centre-to-limb variation. We find a surface abundance of 1.21 ± 0.05 dex, which is significantly lower than the value of 1.38 dex that has been commonly adopted since 2004. Taking the initial abundance via CI chondrites, our result implies that beryllium has been depleted from the surface by an extra 0.11 ± 0.06 dex, or 22 ± 11%, on top of any effects of atomic diffusion. This is in tension with standard solar models, which predict negligible depletion, as well as with contemporary solar models that have extra mixing calibrated on the abundances of helium and lithium, which predict excessive depletion. These discrepancies highlight the need for further improvements to the physics in solar and stellar models.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Amarsi, A.M. ;  Theoretical Astrophysics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
Ogneva, D.;  Theoretical Astrophysics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
Buldgen, Gaël ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Astrophysique stellaire théorique et astérosismologie
Grevesse, Nicolas ;  Université de Liège - ULiège > Centres généraux > CSL (Centre Spatial de Liège)
Zhou, Y. ;  School of Physical and Chemical Sciences - Te Kura Matū, University of Canterbury, Christchurch, New Zealand
Barklem, P.S. ;  Theoretical Astrophysics, Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
Language :
English
Title :
The solar beryllium abundance revisited with 3D non-LTE models
Publication date :
October 2024
Journal title :
Astronomy and Astrophysics
ISSN :
0004-6361
eISSN :
1432-0746
Publisher :
EDP Sciences
Volume :
690
Pages :
A128
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
The authors wish to thank S. Korotin for providing a constructive referee report. AMA acknowledges support from the Swedish Research Council (VR 2020-03940) and from the Crafoord Foundation via the Royal Swedish Academy of Sciences (CR 2024-0015). GB is funded by an Fonds National de La Recherche Scientifique (FNRS) postdoctoral fellowship. YZ gratefully acknowledges support from the Elaine P. Snowden Fellowship. PSB acknowledges support from the Swedish Research Council (VR 2020-03404). This research was supported by computational resources provided by the Australian Government through the National Computational Infrastructure (NCI) under the National Computational Merit Allocation Scheme and the ANU Merit Allocation Scheme (project y89). Some of the computations were also enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through grant agreement no. 2022-06725, at the PDC Center for High Performance Computing, KTH Royal Institute of Technology (project number PDCBUS- 2022-4).The authors wish to thank S. Korotin for providing a constructive referee report. AMA acknowledges support from the Swedish Research Council (VR 2020-03940) and from the Crafoord Foundation via the Royal Swedish Academy of Sciences (CR 2024-0015). GB is funded by an Fonds National de La Recherche Scientifique (FNRS) postdoctoral fellowship. YZ gratefully acknowledges support from the Elaine P. Snowden Fellowship. PSB acknowledges support from the Swedish Research Council (VR 2020-03404). This research was supported by computational resources provided by the Australian Government through the National Computational Infrastructure (NCI) under the National Computational Merit Allocation Scheme and the ANU Merit Allocation Scheme (project y89). Some of the computations were also enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through grant agreement no. 2022-06725, at the PDC Center for High Performance Computing, KTH Royal Institute of Technology (project number PDC-BUS-2022-4).
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