Scalar-mediated dark matter model at colliders and gravitational wave detectors — A White paper for Snowmass 2021

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Xiao-Ping Wang, Ke-Pan Xie, , | Summary: The weakly interacting massive particles (WIMPs) have been the most popular particle dark matter (DM) candidate for the last several decades, and it is well known that WIMP can be probed via the direct, indirect and collider experiments. […]


Continue.. Scalar-mediated dark matter model at colliders and gravitational wave detectors — A White paper for Snowmass 2021

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

Kavli Affiliate: Jing Wang | First 5 Authors: Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying | Summary: Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language processing, model development, and data exchange. For many decades, these knowledge graphs have been built […]


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EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Akinori Matsumoto, Masami Ouchi, Kimihiko Nakajima, Masahiro Kawasaki, Kai Murai | Summary: The primordial He abundance $Y_P$ is a powerful probe of cosmology. Currently, $Y_P$ is best determined by observations of metal-poor galaxies, while there are only a few known local extremely metal-poor ($<0.1 Z_odot$) galaxies (EMPGs) […]


Continue.. EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Akinori Matsumoto, Masami Ouchi, Kimihiko Nakajima, Masahiro Kawasaki, Kai Murai | Summary: The primordial He abundance $Y_mathrm{P}$ is a powerful probe of cosmology. Currently, $Y_mathrm{P}$ is best determined by observations of metal-poor galaxies, while there are only a few known local extremely metal-poor ($<0.1 Z_odot$) galaxies (EMPGs) […]


Continue.. EMPRESS. VIII. A New Determination of Primordial He Abundance with Extremely Metal-Poor Galaxies: A Suggestion of the Lepton Asymmetry and Implications for the Hubble Tension

Radio pulsations from a neutron star within the gamma-ray binary LS I +61$^{circ}$ 303

Kavli Affiliate: Renxin Xu | First 5 Authors: Shan-Shan Weng, Lei Qian, Bo-Jun Wang, D. F. Torres, A. Papitto | Summary: LS I +61$^{circ}$ 303 is one of the rare gamma-ray binaries, emitting most of their luminosity in photons with energies beyond 100 MeV. The $sim$26.5 d orbital period is clearly detected at many wavelengths. […]


Continue.. Radio pulsations from a neutron star within the gamma-ray binary LS I +61$^{circ}$ 303

The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Zhongxu Zhai, Jeremy L. Tinker, Arka Banerjee, Joseph DeRose, Hong Guo | Summary: We analyze clustering measurements of BOSS galaxies using a simulation-based emulator of two-point statistics. We focus on the monopole and quadrupole of the redshift-space correlation function, and the projected correlation function, at scales […]


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Near-Zone Symmetries of Kerr Black Holes

Kavli Affiliate: Austin Joyce | First 5 Authors: Lam Hui, Austin Joyce, Riccardo Penco, Luca Santoni, Adam R. Solomon | Summary: We study the near-zone symmetries of a massless scalar field on four-dimensional black hole backgrounds. We provide a geometric understanding that unifies various recently discovered symmetries as part of an SO(4,2) group. Of these, […]


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Discovering the building blocks of dark matter halo density profiles with neural networks

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks

Discovering the building blocks of dark matter halo density profiles with neural networks

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The density profiles of dark matter halos are typically modeled using empirical formulae fitted to the density profiles of relaxed halo populations. We present a neural network model that is trained to learn the […]


Continue.. Discovering the building blocks of dark matter halo density profiles with neural networks