Origin of the in-orbit instrumental background of the Hard X-ray Imager onboard Hitomi

Posted by dbos Tokyo

Kavli Affiliate: Shinichiro Takeda | First 5 Authors: Kouichi Hagino, Hirokazu Odaka, Goro Sato, Tamotsu Sato, Hiromasa Suzuki | Summary: Understanding and reducing the in-orbit instrumental backgrounds are essential to achieving high sensitivity in hard X-ray astronomical observations. The observational data of the Hard X-ray Imager (HXI) on board the Hitomi satellite provides useful information […]


Continue.. Origin of the in-orbit instrumental background of the Hard X-ray Imager onboard Hitomi

Generalised velocity-dependent one-scale model for current-carrying strings

Posted by klaurent Cambridge

Kavli Affiliate: E. P. S. Shellard | First 5 Authors: C. J. A. P. Martins, Patrick Peter, I. Yu. Rybak, E. P. S. Shellard, | Summary: We develop an analytic model to quantitatively describe the evolution of superconducting cosmic string networks. Specifically, we extend the velocity-dependent one-scale (VOS) model to incorporate arbitrary currents and charges […]


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Three-flavor collective neutrino conversions with multi-azimuthal-angle instability in an electron-capture supernova model

Posted by klaurent Tokyo

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Masamichi Zaizen, Shunsaku Horiuchi, Tomoya Takiwaki, Kei Kotake, Takashi Yoshida | Summary: We investigate the multi-azimuthal angle (MAA) effect on collective neutrino oscillation by considering the three-dimensional neutrino momentum distribution in a realistic electron-capture supernova model with an $8.8 M_{odot}$ progenitor. We find that the MAA effect […]


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Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique

Posted by klaurent Stanford

Kavli Affiliate: C. M. Ignarra | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: This paper presents a novel technique for mitigating electrode backgrounds that limit the sensitivity of searches for low-mass dark matter (DM) using xenon time projection chambers. In the LUX detector, signatures of […]


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

Posted by dbos Peking

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

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

Posted by klaurent Peking

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 […]


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Constraints on Lightly Ionizing Particles from CDMSlite

Posted by klaurent Stanford

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

Posted by klaurent Peking

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

Posted by klaurent Peking

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

Posted by klaurent MIT

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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