Mechanical Quantum Sensing in the Search for Dark Matter

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Daniel Carney, Gordan Krnjaic, David C. Moore, Cindy A. Regal, Gadi Afek | Summary: Numerous astrophysical and cosmological observations are best explained by the existence of dark matter, a mass density which interacts only very weakly with visible, baryonic matter. Searching for the extremely weak signals […]


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First exotic hadron with open heavy flavor: $csbar ubar d$ tetraquark

Kavli Affiliate: Jonathan L. Rosner | First 5 Authors: Marek Karliner, Jonathan L. Rosner, , , | Summary: The LHCb Collaboration has reported resonant activity in the channel $D^+ K^-$, identifying two components: $X_0(2900)$ with $J^P = 0^+$ at $2866 {pm} 7$ MeV, $Gamma_0=57{pm} 13$ MeV and $X_1(2900)$ with $J^P = 1^-$ at $2904 {pm} […]


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REQUIEM-2D: Spatially Resolved Stellar Populations from HST 2D Grism Spectroscopy

Kavli Affiliate: Michael D. Gladders | First 5 Authors: Mohammad Akhshik, Katherine E. Whitaker, Gabriel Brammer, Guillaume Mahler, Keren Sharon | Summary: We present a novel Bayesian methodology to jointly model photometry and deep Hubble Space Telescope (HST) 2d grism spectroscopy of high-redshift galaxies. Our requiem2d code measures both unresolved and resolved stellar populations, ages, […]


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Revisiting AGN as the Source of IceCube’s Diffuse Neutrino Flux

Kavli Affiliate: Abigail Vieregg | First 5 Authors: Daniel Smith, Dan Hooper, Abigail Vieregg, , | Summary: The origin of the astrophysical neutrino flux reported by the IceCube Collaboration remains an open question. In this study, we use three years of publicly available IceCube data to search for evidence of neutrino emission from the blazars […]


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Dust Reverberation Mapping in Distant Quasars from Optical and Mid-Infrared Imaging Surveys

Kavli Affiliate: Joshua Frieman | First 5 Authors: Qian Yang, Yue Shen, Xin Liu, Michel Aguena, James Annis | Summary: The size of the dust torus in Active Galactic Nuclei (AGN) and their high-luminosity counterparts, quasars, can be inferred from the time delay between UV/optical accretion disk continuum variability and the response in the mid-infrared […]


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Thermal Instability in the CGM of $L_{star}$ Galaxies: Testing “Precipitation” Models with the FIRE Simulations

Kavli Affiliate: Andrey V. Kravtsov | First 5 Authors: Clarke J. Esmerian, Andrey V. Kravtsov, Zachary Hafen, Claude-Andre Faucher-Giguere, Eliot Quataert | Summary: We examine the thermodynamic state and cooling of the low-$z$ Circum-Galactic Medium (CGM) in five FIRE-2 galaxy formation simulations of Milky Way-mass galaxies. We find that the CGM in these simulations is […]


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Spatial Variation in Strong Line Ratios and Physical Conditions in Two Strongly-Lensed Galaxies at z~1.4

Kavli Affiliate: Michael D. Gladders | First 5 Authors: Michael K. Florian, Jane R. Rigby, Ayan Acharyya, Keren Sharon, Michael D. Gladders | Summary: For studies of galaxy formation and evolution, one of the major benefits of the James Webb Space Telescope is that space-based IFUs like those on its NIRSpec and MIRI instruments will […]


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Deep XMM-Newton Observations of the Most Distant SPT-SZ Galaxy Cluster

Kavli Affiliate: Lindsey E. Bleem | First 5 Authors: Adam B. Mantz, Steven W. Allen, R. Glenn Morris, Rebecca E. A. Canning, Matthew Bayliss | Summary: We present results from a 577 ks XMM-Newton observation of SPT-CL J0459-4947, the most distant cluster detected in the South Pole Telescope 2500 square degree (SPT-SZ) survey, and currently […]


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Will LISA Detect Harmonic Gravitational Waves from Galactic Cosmic String Loops?

Kavli Affiliate: Craig J. Hogan | First 5 Authors: Zimu Khakhaleva-Li, Craig J. Hogan, , , | Summary: Rapid advancement in the observation of cosmic strings has been made in recent years placing increasingly stringent constraints on their properties, with $Gmulesssim 10^{-11}$ from Pulsar Timing Array (PTA). Cosmic string loops with low string tension clump […]


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Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study

Kavli Affiliate: Elise Jennings | First 5 Authors: Himanshu Sharma, Elise Jennings, , , | Summary: Bayesian neural Networks (BNNs) are a promising method of obtaining statistical uncertainties for neural network predictions but with a higher computational overhead which can limit their practical usage. This work explores the use of high performance computing with distributed […]


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