Pareto-optimal clustering with the primal deterministic information bottleneck

Kavli Affiliate: Max Tegmark | First 5 Authors: Andrew K. Tan, Max Tegmark, Isaac L. Chuang, , | Summary: At the heart of both lossy compression and clustering is a trade-off between the fidelity and size of the learned representation. Our goal is to map out and study the Pareto frontier that quantifies this trade-off. […]


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Surrogate model for gravitational wave signals from non-spinning, comparable- to large-mass-ratio black hole binaries built on black hole perturbation theory waveforms calibrated to numerical relativity

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Tousif Islam, Scott E. Field, Scott A. Hughes, Gaurav Khanna, Vijay Varma | Summary: We present a reduced-order surrogate model of gravitational waveforms from non-spinning binary black hole systems with comparable to large mass-ratio configurations. This surrogate model, texttt{BHPTNRSur1dq1e4}, is trained on waveform data generated by […]


Continue.. Surrogate model for gravitational wave signals from non-spinning, comparable- to large-mass-ratio black hole binaries built on black hole perturbation theory waveforms calibrated to numerical relativity

The binary black hole spin distribution likely broadens with redshift

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Sylvia Biscoveanu, Thomas A. Callister, Carl-Johan Haster, Ken K. Y. Ng, Salvatore Vitale | Summary: The population-level distributions of the masses, spins, and redshifts of binary black holes (BBHs) observed using gravitational waves can shed light on how these systems form and evolve. Because of the complex […]


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The orientations of the binary black holes in GWTC-3

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Salvatore Vitale, Sylvia Biscoveanu, Colm Talbot, , | Summary: It is expected that the orbital planes of gravitational-wave (GW) sources are isotropically distributed. However, both physical and technical factors, such as alternate theories of gravity with birefringence, catalog contamination, and search algorithm limitations, could result in inferring […]


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The Chemical Composition of Extreme-Velocity Stars

Kavli Affiliate: Anna Frebel | First 5 Authors: Henrique Reggiani, Alexander P. Ji, Kevin C. Schlaufman, Anna Frebel, Lina Necib | Summary: Little is known about the origin of the fastest stars in the Galaxy. Our understanding of the Milky Way and surrounding dwarf galaxies chemical evolution history allows us to use the chemical composition […]


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Simulations of black hole fueling in isolated and merging galaxies with an explicit, multiphase ISM

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aneesh Sivasankaran, Laura Blecha, Paul Torrey, Luke Zoltan Kelley, Aklant Bhowmick | Summary: We study gas inflows onto supermassive black holes using hydrodynamics simulations of isolated galaxies and idealized galaxy mergers with an explicit, multiphase interstellar medium (ISM). Our simulations use the recently developed ISM and stellar […]


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AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Varun Madhavan, Max Tegmark, , | Summary: We present a machine learning algorithm that discovers conservation laws from differential equations, both numerically (parametrized as neural networks) and symbolically, ensuring their functional independence (a non-linear generalization of linear independence). Our independence module can be viewed as […]


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Galactic angular momentum in the IllustrisTNG simulation — I. Connection to morphology, halo spin, and black hole mass

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Vicente Rodriguez-Gomez, Shy Genel, S. Michael Fall, Annalisa Pillepich, Marc Huertas-Company | Summary: We use the TNG100 simulation of the IllustrisTNG project to investigate the stellar specific angular momenta ($j_{ast}$) of $sim$12~000 central galaxies at $z=0$ in a full cosmological context, with stellar masses ($M_{ast}$) ranging from […]


Continue.. Galactic angular momentum in the IllustrisTNG simulation — I. Connection to morphology, halo spin, and black hole mass