Kavli Affiliate: Herman L. Marshall | First 5 Authors: Alexandra Veledina, Fabio Muleri, Michal Dovciak, Juri Poutanen, Ajay Ratheesh | Summary: We report the first detection of the X-ray polarization of the bright transient Swift J1727.8-1613 with the Imaging X-ray Polarimetry Explorer. The observation was performed at the beginning of the 2023 discovery outburst, when […]
Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Vasily Belokurov, Andrey Kravtsov, , , | Summary: We present a new scheme for the classification of the in-situ and accreted globular clusters (GCs). The scheme uses total energy $E$ and $z$-component of the orbital angular momentum and is calibrated using [Al/Fe] abundance ratio. We demonstrate that […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]
Kavli Affiliate: John D. Silverman | First 5 Authors: Kiyoaki Christopher Omori, Connor Bottrell, Mike Walmsley, Hassen M. Yesuf, Andy D. Goulding | Summary: We take a deep learning-based approach for galaxy merger identification in Subaru HSC-SSP, specifically through the use of deep representation learning and fine-tuning, with the aim of creating a pure and […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aklant K Bhowmick, Laura Blecha, Paul Torrey, Rainer Weinberger, Luke Zoltan Kelley | Summary: The nature of the first seeds of supermassive black holes (SMBHs) is currently unknown, with postulated initial masses ranging from $sim10^5~M_{odot}$ to as low as $sim10^2~M_{odot}$. However, most existing cosmological simulations resolve BHs […]
Kavli Affiliate: Tom Abel | First 5 Authors: William R. Coulton, Tom Abel, Arka Banerjee, , | Summary: Searches for primordial non-Gaussianity in cosmological perturbations are a key means of revealing novel primordial physics. However, robustly extracting signatures of primordial non-Gaussianity from non-linear scales of the late-time Universe is an open problem. In this paper, […]