Research
-
2024.09.05
Deep Synoptic Array and FRB
Fast radio bursts (FRBs) are typically milli-second-duration luminous radio transients whose source remain debatable. Caltech/ OVRO's Deep Synoptic Array-110 (DSA-110) is the only radio interferometer designed specifically for FRB searching and localization. By mid-2023, DSA-110 has doubled the number of localized FRBs. First, I will highlight the high-resolution burst morphology of a sample...
More -
2024.09.04
Comprehensive population synthesis predictions for massive binary stars in the Small Magellanic Cloud
The past and ongoing gravitational wave detections have fostered a wide interest in understanding the formation of binary black holes (BBHs). Several formation scenarios have been proposed, including the evolution of isolated massive binaries. While most of the observed merging black holes are at cosmological distances, and thus likely at low metallicity, the Small Magellanic Cloud (SMC) provid...
More -
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 ...
More -
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...
More -
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...
More