Dynamics of fractionalized mean-field theories: consequences for Kitaev materials

Kavli Affiliate: Joel E. Moore | First 5 Authors: Tessa Cookmeyer, Joel E. Moore, , , | Summary: There have been substantial recent efforts, both experimentally and theoretically, to find a material realization of the Kitaev spin-liquid–the ground state of the exactly solvable Kitaev model on the honeycomb lattice. Candidate materials are now plentiful, but […]


Continue.. Dynamics of fractionalized mean-field theories: consequences for Kitaev materials

Sequential Flows by Irrelevant Operators

Kavli Affiliate: Savdeep Sethi | First 5 Authors: Christian Ferko, Savdeep Sethi, , , | Summary: We explore whether one can $T overline{T}$ deform a collection of theories that are already $T overline{T}$-deformed. This allows us to define classes of irrelevant deformations that know about subsystems. In some basic cases, we explore the spectrum that […]


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EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Yuki Isobe, Masami Ouchi, Kimihiko Nakajima, Shinobu Ozaki, Nicolas Bouche | Summary: We present kinematics of 6 local extremely metal-poor galaxies (EMPGs) with low metallicities ($0.016-0.098 Z_{odot}$) and low stellar masses ($10^{4.7}-10^{7.6} M_{odot}$). Taking deep medium-high resolution ($Rsim7500$) integral-field spectra with 8.2-m Subaru, we resolve the small […]


Continue.. EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

Kavli Affiliate: Masahiro Kawasaki | First 5 Authors: Yuki Isobe, Masami Ouchi, Kimihiko Nakajima, Shinobu Ozaki, Nicolas Bouche | Summary: We present kinematics of 6 local extremely metal-poor galaxies (EMPGs) with low metallicities ($0.016-0.098 Z_{odot}$) and low stellar masses ($10^{4.7}-10^{7.6} M_{odot}$). Taking deep medium-high resolution ($Rsim7500$) integral-field spectra with 8.2-m Subaru, we resolve the small […]


Continue.. EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

Field Level Neural Network Emulator for Cosmological N-body Simulations

Kavli Affiliate: David N. Spergel | First 5 Authors: Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho | Summary: We build a field level emulator for cosmic structure formation that is accurate in the nonlinear regime. Our emulator consists of two convolutional neural networks trained to output the nonlinear displacements and […]


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Magellan/IMACS spectroscopy of Grus I: a low metallicity ultra-faint dwarf galaxy

Kavli Affiliate: Anna Frebel | First 5 Authors: Anirudh Chiti, Joshua D. Simon, Anna Frebel, Andrew B. Pace, Alexander P. Ji | Summary: We present a chemodynamical study of the Grus I ultra-faint dwarf galaxy (UFD) from medium-resolution ($Rsim11,000$) Magellan/IMACS spectra of its individual member stars. We identify eight confirmed members of Grus I, based […]


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Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Kavli Affiliate: David N. Spergel | First 5 Authors: Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho | Summary: We train a neural network model to predict the full phase space evolution of cosmological N-body simulations. Its success implies that the neural network model is accurately approximating the Green’s function expansion that relates […]


Continue.. Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Kavli Affiliate: David N. Spergel | First 5 Authors: Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho | Summary: We train a neural network model to predict the full phase space evolution of cosmological N-body simulations. Its success implies that the neural network model is accurately approximating the Green’s function expansion that relates […]


Continue.. Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

The stellar halo in Local Group Hestia simulations II. The accreted component

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Sergey Khoperskov, Ivan Minchev, Noam Libeskind, Misha Haywood, Paola Di Matteo | Summary: In the Milky Way, recent progress in the exploration of its assembly history is driven by the tremendous amount of high-quality data delivered by Gaia, which has revealed a number of substructures potentially linked […]


Continue.. The stellar halo in Local Group Hestia simulations II. The accreted component

The stellar halo in Local Group Hestia simulations II. The accreted component

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Sergey Khoperskov, Ivan Minchev, Noam Libeskind, Misha Haywood, Paola Di Matteo | Summary: In the Milky Way, recent progress in the exploration of its assembly history is driven by the tremendous amount of high-quality data delivered by Gaia, which has revealed a number of substructures potentially linked […]


Continue.. The stellar halo in Local Group Hestia simulations II. The accreted component