Birth cluster simulations of planetary systems with multiple super-Earths: initial conditions for white dwarf pollution drivers

Posted by klaurent Peking

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Katja Stock, Dimitri Veras, Maxwell X. Cai, Rainer Spurzem, Simon Portegies Zwart | Summary: Previous investigations have revealed that eccentric super-Earths represent a class of planets which are particularly effective at transporting minor bodies towards white dwarfs and subsequently polluting their atmospheres with observable chemical signatures. However, […]


Continue.. Birth cluster simulations of planetary systems with multiple super-Earths: initial conditions for white dwarf pollution drivers

Machine-learning interatomic potential for molecular dynamics simulation of ferroelectric KNbO3 perovskite

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Hao-Cheng Thong, XiaoYang Wang, Han Wang, Linfeng Zhang, Ke Wang | Summary: Ferroelectric perovskites have been ubiquitously applied in piezoelectric devices for decades, among which, eco-friendly lead-free (K,Na)NbO3-based materials have been recently demonstrated to be an excellent candidate for sustainable development. Molecular dynamics is a versatile theoretical […]


Continue.. Machine-learning interatomic potential for molecular dynamics simulation of ferroelectric KNbO3 perovskite

Cosmology and perturbations in tachyonic massive gravity

Posted by klaurent Peking

Kavli Affiliate: Lijing Shao | First 5 Authors: Amin Rezaei Akbarieh, Sobhan Kazempour, Lijing Shao, , | Summary: As massive gravity and its extensions offer physically well-defined gravitational theories with a nonzero graviton mass, we present a new extension of the de Rham-Gabadadze-Tolley (dRGT)massive gravity, which is tachyonic massive gravity theory. We firstly introduce the […]


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From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Posted by klaurent Stanford

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Sebastian Wagner-Carena, Jelle Aalbers, Simon Birrer, Ethan O. Nadler, Elise Darragh-Ford | Summary: Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos ($<10^{10} […]


Continue.. From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

A call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

Posted by klaurent Tokyo

Kavli Affiliate: Mark Vagins | First 5 Authors: Adam Bernstein, Hans Steiger, Viacheslav Li, Daine L. Danielson, John G. Learned | Summary: The High Energy Physics community can benefit from a natural synergy in research activities into next-generation large-scale water and scintillator neutrino detectors, now being studied for remote reactor monitoring, discovery and exclusion applications […]


Continue.. A call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

A Call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

Posted by klaurent Tokyo

Kavli Affiliate: Mark Vagins | First 5 Authors: Larry Bartoszek, Marc Bergevin, Adam Bernstein, Sandra Bogetic, Doug Cowen | Summary: The High Energy Physics community can benefit from a natural synergy in research activities into next-generation large-scale water and scintillator neutrino detectors, now being studied for remote reactor monitoring, discovery and exclusion applications in cooperative […]


Continue.. A Call to Arms Control: Synergies between Nonproliferation Applications of Neutrino Detectors and Large-Scale Fundamental Neutrino Physics Experiments

FIRE-3: Updated Stellar Evolution Models, Yields, & Microphysics and Fitting Functions for Applications in Galaxy Simulations

Posted by klaurent MIT

Kavli Affiliate: Lina Necib | First 5 Authors: Philip F. Hopkins, Andrew Wetzel, Coral Wheeler, Robyn Sanderson, Michael Y. Grudic | Summary: Increasingly, uncertainties in predictions from galaxy formation simulations (at sub-Milky Way masses) are dominated by uncertainties in stellar evolution inputs. In this paper, we present the full set of updates from the FIRE-2 […]


Continue.. FIRE-3: Updated Stellar Evolution Models, Yields, & Microphysics and Fitting Functions for Applications in Galaxy Simulations

Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Posted by klaurent Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Posted by klaurent Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks