Exploring the origin of stars on bound and unbound orbits causing tidal disruption events

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Shiyan Zhong, Kimitake Hayasaki, Shuo Li, Peter Berczik, Rainer Spurzem | Summary: Tidal disruption events (TDEs) probe properties of supermassive black holes (SMBHs), their accretion disks, and the surrounding nuclear stellar cluster. Light curves of TDEs are related to orbital properties of stars falling SMBHs. We study […]


Continue.. Exploring the origin of stars on bound and unbound orbits causing tidal disruption events

Exploring the origin of stars on bound and unbound orbits causing tidal disruption events

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Shiyan Zhong, Kimitake Hayasaki, Shuo Li, Peter Berczik, Rainer Spurzem | Summary: Tidal disruption events (TDEs) provide a clue to the properties of a central supermassive black hole (SMBH) and an accretion disk around it, and to the stellar density and velocity distributions in the nuclear star […]


Continue.. Exploring the origin of stars on bound and unbound orbits causing tidal disruption events

Constraints on Lightly Ionizing Particles from CDMSlite

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, I. Alkhatib, D. W. P. Amaral, T. Aralis, T. Aramaki | Summary: The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) achieved efficient detection of very small recoil energies in its germanium target, resulting in sensitivity to Lightly Ionizing Particles (LIPs) in a […]


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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong | Summary: The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification. Unlike […]


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A Review of Generalized Zero-Shot Learning Methods

Kavli Affiliate: Ran Wang | First 5 Authors: Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang | Summary: Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples under the condition that some output classes are unknown during supervised learning. To address this challenging task, GZSL leverages semantic information of […]


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Dynamically Tagged Groups of Very Metal-poor Halo Stars from the HK and Hamburg/ESO Surveys

Kavli Affiliate: Anna Frebel | First 5 Authors: Guilherme Limberg, Silvia Rossi, Timothy C. Beers, Hélio D. Perottoni, Angeles Pérez-Villegas | Summary: We analyze the dynamical properties of $sim$1500 very metal-poor (VMP; [Fe/H] $lesssim -2.0$) halo stars, based primarily on medium-resolution spectroscopic data from the HK and Hamburg/ESO surveys. These data, collected over the past […]


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Minimal Zeeman field requirement for a topological transition in superconductors

Kavli Affiliate: Michael Wimmer | First 5 Authors: Kim Pöyhönen, Daniel Varjas, Michael Wimmer, Anton R. Akhmerov, | Summary: Platforms for creating Majorana quasiparticles rely on superconductivity and breaking of time-reversal symmetry. By studying continuous deformations to known trivial states, we find that the relationship between superconducting pairing and time reversal breaking imposes rigorous bounds […]


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From the Black Hole Conundrum to the Structure of Quantum Gravity

Kavli Affiliate: Yasunori Nomura | First 5 Authors: Yasunori Nomura, , , , | Summary: We portray the structure of quantum gravity emerging from recent progress in understanding the quantum mechanics of an evaporating black hole. Quantum gravity admits two different descriptions, based on Euclidean gravitational path integral and a unitarily evolving holographic quantum system, […]


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Alzheimer’s-associated upregulation of mitochondria-associated ER membranes after traumatic brain injury

Kavli Affiliate: Daphna Shohamy | Authors: Jonathan Nicholas, Christian Amlang, Chi-Ying Lin, Leila Montaser-Kouhsari, Natasha Desai, Ming-Kai Pan, Sheng-Han Kuo and Daphna Shohamy | Summary: Abstract Traumatic brain injury (TBI) can lead to neurodegenerative diseases such as Alzheimer’s disease (AD) through mechanisms that remain incompletely characterized. Similar to AD, TBI models present with cellular metabolic […]


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Weak Value Amplification in High Energy Physics: A Case Study for Precision Measurement of CP Violation in B Meson Decays

Kavli Affiliate: Takeo Higuchi | First 5 Authors: Satoshi Higashino, Yuichiro Mori, Yosuke Takubo, Takeo Higuchi, Akimasa Ishikawa | Summary: The technique of weak value amplification, proposed by Aharonov et al. in 1988, has been applied for various fields of physics for the purpose of precision measurement, which is made possible by exploiting the freedom […]


Continue.. Weak Value Amplification in High Energy Physics: A Case Study for Precision Measurement of CP Violation in B Meson Decays