Coherent Sheaves, Chern Classes, and Superconnections on Compact Complex-Analytic Manifolds

Posted by klaurent Tokyo

Kavli Affiliate: Alexey Bondal | First 5 Authors: Alexey Bondal, Alexei Rosly, , , | Summary: We construct a twist-closed enhancement of the category ${mathcal D}^b_{rm coh}(X)$, the bounded derived category of complexes of ${mathcal O}_X$-modules with coherent cohomology, by means of the DG-category of $barpartial$-superconnections. Then we apply the techniques of $barpartial$-superconnections to define […]


Continue.. Coherent Sheaves, Chern Classes, and Superconnections on Compact Complex-Analytic Manifolds

An Information-State Based Approach to Linear Time Varying System Identification and Control

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty, Ran Wang, | Summary: This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the state vector, where the "information-state" is composed of a […]


Continue.. An Information-State Based Approach to Linear Time Varying System Identification and Control

Radiation from Global Topological Strings using Adaptive Mesh Refinement: Massive Modes

Posted by klaurent Cambridge

Kavli Affiliate: E. P. S. Shellard | First 5 Authors: Amelia Drew, E. P. S. Shellard, , , | Summary: We implement adaptive mesh refinement (AMR) simulations of global topological strings using the public code, GRChombo. We perform a quantitative investigation of massive radiation from single sinusoidally displaced string configurations, studying a range of string […]


Continue.. Radiation from Global Topological Strings using Adaptive Mesh Refinement: Massive Modes

Line Emission Mapper (LEM): Probing the physics of cosmic ecosystems

Posted by klaurent MIT

Kavli Affiliate: Eric D. Miller | First 5 Authors: Ralph Kraft, Maxim Markevitch, Caroline Kilbourne, Joseph S. Adams, Hiroki Akamatsu | Summary: The Line Emission Mapper (LEM) is an X-ray Probe for the 2030s that will answer the outstanding questions of the Universe’s structure formation. It will also provide transformative new observing capabilities for every […]


Continue.. Line Emission Mapper (LEM): Probing the physics of cosmic ecosystems

The Pandora project. I: the impact of radiation and cosmic rays on baryonic and dark matter properties of dwarf galaxies

Posted by klaurent Cambridge

Kavli Affiliate: Debora Sijacki | First 5 Authors: Sergio Martin-Alvarez, Debora Sijacki, Martin G. Haehnelt, Marion Farcy, Yohan Dubois | Summary: Enshrouded in several well-known controversies, dwarf galaxies have been extensively studied to learn about the underlying cosmology, notwithstanding that physical processes regulating their properties are poorly understood. To shed light on these processes, we […]


Continue.. The Pandora project. I: the impact of radiation and cosmic rays on baryonic and dark matter properties of dwarf galaxies

Robust and Fast Quantum State Transfer on Superconducting Circuits

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Xiao-Qing Liu, Jia Liu, Zheng-Yuan Xue, , | Summary: Quantum computation attaches importance to high-precision quantum manipulation, where the quantum state transfer with high fidelity is necessary. Here, we propose a new scheme to implement the quantum state transfer of high fidelity and long distance, by adding […]


Continue.. Robust and Fast Quantum State Transfer on Superconducting Circuits

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Posted by klaurent Stanford

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello | Summary: We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest […]


Continue.. Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Posted by klaurent Stanford

Kavli Affiliate: Aaron Roodman | First 5 Authors: Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello | Summary: We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest in […]


Continue.. Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Spectral bounds for exit times on metric measure Dirichlet spaces and applications

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Phanuel Mariano, Jing Wang, , , | Summary: Assuming the heat kernel on a doubling Dirichlet metric measure space has a generalized sub-Gaussian bound, we prove an asymptotically sharp spectral upper bound on the survival probability of the associated diffusion process. As a consequence, we can show […]


Continue.. Spectral bounds for exit times on metric measure Dirichlet spaces and applications