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

CUE Vectors: Modular Training of Language Models Conditioned on Diverse Contextual Signals

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Scott Novotney, Sreeparna Mukherjee, Zeeshan Ahmed, Andreas Stolcke, | Summary: We propose a framework to modularize the training of neural language models that use diverse forms of sentence-external context (including metadata) by eliminating the need to jointly train sentence-external and within-sentence encoders. Our approach, contextual universal embeddings […]


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Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Kavli Affiliate: Salman Habib | First 5 Authors: Aurora Cossairt, Michael Buehlmann, Eve Kovacs, Xin Liu, Salman Habib | Summary: We present a detailed study of fossil group candidates identified in "Last Journey", a gravity-only cosmological simulation covering a $(3.4, h^{-1}mathrm{Gpc})^3$ volume with a particle mass resolution of $m_p approx 2.7 times 10^9, h^{-1}mathrm{M}_odot$. The […]


Continue.. Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Cosmo-Paleontology: Statistics of Fossil Groups in a Gravity-Only Simulation

Kavli Affiliate: Salman Habib | First 5 Authors: Aurora Cossairt, Michael Buehlmann, Eve Kovacs, Xin Liu, Salman Habib | Summary: We present a detailed study of fossil group candidates identified in "Last Journey", a gravity-only cosmological simulation covering a $(3.4, h^{-1}mathrm{Gpc})^3$ volume with a particle mass resolution of $m_p approx 2.7 times 10^9, h^{-1}mathrm{M}_odot$. The […]


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Learning Representation for Bayesian Optimization with Collision-free Regularization

Kavli Affiliate: Brian Nord | First 5 Authors: Fengxue Zhang, Brian Nord, Yuxin Chen, , | Summary: Bayesian optimization has been challenged by datasets with large-scale, high-dimensional, and non-stationary characteristics, which are common in real-world scenarios. Recent works attempt to handle such input by applying neural networks ahead of the classical Gaussian process to learn […]


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A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV mass range. Looking to the future, the Collaboration has developed […]


Continue.. A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: The SuperCDMS Collaboration is currently building SuperCDMS SNOLAB, a dark matter search focused on nucleon-coupled dark matter in the 1-5 GeV/c$^2$ mass range. Looking to the future, the Collaboration has developed […]


Continue.. A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility