Identifying strongly lensed gravitational waves through their phase consistency

Kavli Affiliate: Wayne Hu | First 5 Authors: Jose MarĂ­a Ezquiaga, Wayne Hu, Rico K. L. Lo, , | Summary: Strongly lensed gravitational waves (GWs) from binary coalescence manifest as repeated chirps from the original merger. At the detectors, the phase of the lensed GWs and its arrival time differences will be consistent modulo a […]


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Two of a Kind: Comparing big and small black holes in binaries with gravitational waves

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Amanda M. Farah, Maya Fishbach, Daniel E. Holz, , | Summary: When modeling the population of merging binary black holes, analyses have generally focused on characterizing the distribution of primary (i.e. more massive) black holes in the binary, while simplistic prescriptions are used for the distribution […]


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Screen-based 3D Subjective Experiment Software

Kavli Affiliate: Wei Gao | First 5 Authors: Songlin Fan, Wei Gao, , , | Summary: Recently, widespread 3D graphics (e.g., point clouds and meshes) have drawn considerable efforts from academia and industry to assess their perceptual quality by conducting subjective experiments. However, lacking a handy software for 3D subjective experiments complicates the construction of […]


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Carnegie Supernova Project-I and -II: Measurements of $H_0$ using Cepheid, TRGB, and SBF Distance Calibration to Type Ia Supernovae

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Syed A. Uddin, Christopher R. Burns, Mark M. Phillips, Nicholas B. Suntzeff, Wendy L. Freedman | Summary: We present an analysis of Type Ia Supernovae (SNe~Ia) from both the Carnegie Supernova Project~I (CSP-I) and II (CSP-II), and extend the Hubble diagram from the optical to the […]


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Supermassive Primordial Black Holes From Inflation

Kavli Affiliate: Albert Stebbins | First 5 Authors: Dan Hooper, Aurora Ireland, Gordan Krnjaic, Albert Stebbins, | Summary: There is controversy surrounding the origin and evolution of our universe’s largest supermassive black holes (SMBHs). In this study, we consider the possibility that some of these black holes formed from the direct collapse of primordial density […]


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Supermassive Primordial Black Holes From Inflation

Kavli Affiliate: Albert Stebbins | First 5 Authors: Dan Hooper, Aurora Ireland, Gordan Krnjaic, Albert Stebbins, | Summary: There is controversy surrounding the origin and evolution of our universe’s largest supermassive black holes (SMBHs). In this study, we consider the possibility that some of these black holes formed from the direct collapse of primordial density […]


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Supermassive Primordial Black Holes From Inflation

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Dan Hooper, Aurora Ireland, Gordan Krnjaic, Albert Stebbins, | Summary: There is controversy surrounding the origin and evolution of our universe’s largest supermassive black holes (SMBHs). In this study, we consider the possibility that some of these black holes formed from the direct collapse of primordial density […]


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Explainable Equivariant Neural Networks for Particle Physics: PELICAN

Kavli Affiliate: David W. Miller | First 5 Authors: Alexander Bogatskiy, Timothy Hoffman, David W. Miller, Jan T. Offermann, Xiaoyang Liu | Summary: PELICAN is a novel permutation equivariant and Lorentz invariant or covariant aggregator network designed to overcome common limitations found in architectures applied to particle physics problems. Compared to many approaches that use […]


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Reinforcement Learning for Sequential Decoding of Generalized LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, David G. M. Mitchell, , , | Summary: In this work, we propose reinforcement learning (RL) for sequential decoding of moderate length generalized low-density parity-check (GLDPC) codes. Here, sequential decoding refers to scheduling all the generalized constraint nodes (GCNs) and single parity-check nodes (SPCNs) of […]


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Reinforcement Learning for Sequential Decoding of Generalized LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, David G. M. Mitchell, , , | Summary: In this work, we propose reinforcement learning (RL) for sequential decoding of moderate length generalized low-density parity-check (GLDPC) codes. Here, sequential decoding refers to scheduling all the generalized constraint nodes (GCNs) and single parity-check nodes (SPCNs) of […]


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