科学研究
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2024.09.03
The role of mixing, mass-loss and rotation in stellar evolution
Despite the efforts made in recent decades to obtain more realistic stellar models, considerable uncertainties still remain due to our incomplete knowledge of some complex physical processes that occur within them, such as accretion, convection, mass loss, rotation, to name a few of them. Modeling these processes still relies on empirical calibrations and this has a significant impact on theore...
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2024.08.29
Exploring Stellar Astrophysics and Star-Planet Interactions Through Observational Studies
Photometric and spectroscopic observations of individual stars, binaries, and group of stars in coeval populations offer valuable insights into various stellar characteristics, such as chemical abundance, radial velocity, multiplicity, mass, distance, and age. The chemical abundances provide critical information about the internal physics of stars, the interactions between planets and their hos...
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2024.08.26
The stellar environment's influence on protoplanetary discs and planet formation
Stars born in dense clusters often form binary systems, surrounded by circumbinary discs of gas and dust. Misalignments between these discs and the binary orbit are common during stellar evolution, driven by dissipation. My research, utilizing 3D hydrodynamical simulations, focuses on the evolution of highly misaligned circumbinary discs. I demonstrate that polar-aligned circumbinary discs are ...
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2024.08.23
Role of dark matter halo angular momentum distribution on bar formation, evolution and dynamical friction
In this study, we investigated the role of the inner halo's angular momentum distribution on bar formation and evolution processes. We performed a series of high-resolution N-body experiments with Milky Way-type disk galaxies. These models were initiated with similar disks but with varying inner halo angular momentum in the surrounding dark matter halo. The bar triggered earlier in the model wi...
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2024.08.19
Beyond Summary Statistics: Leveraging Generative Models for Field-Level Weak Lensing Analysis
Current and future weak lensing surveys contain significant information about our universe. However, their optimal cosmological analysis is challenging, with traditional analyses often resulting in information loss due to reliance on summary statistics like two-point functions. While deep learning methods offer promise in capturing the complex non-linear features of these cosmological fields, t...
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