Applications of Deep Learning to physics workflows

Kavli Affiliate: George Ricker | First 5 Authors: Manan Agarwal, Jay Alameda, Jeroen Audenaert, Will Benoit, Damon Beveridge | Summary: Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient […]


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Dark matter search with a strongly-coupled hybrid spin system

Kavli Affiliate: Jia Liu | First 5 Authors: Kai Wei, Zitong Xu, Yuxuan He, Xiaolin Ma, Xing Heng | Summary: Observational evidence suggests the existence of dark matter (DM), which comprises approximately $84.4%$ of matter in the universe. Recent advances in tabletop quantum sensor technology have enabled searches for nongravitational interactions of DM. Our experiment […]


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Dark Matter Search with a Resonantly-Coupled Hybrid Spin System

Kavli Affiliate: Jia Liu | First 5 Authors: Kai Wei, Zitong Xu, Yuxuan He, Xiaolin Ma, Xing Heng | Summary: Recent advances in tabletop quantum sensor technology have enabled searches for nongravitational interactions of dark matter (DM). Traditional axion DM experiments rely on sharp resonance, resulting in extensive scanning time to cover a wide mass […]


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Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


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Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Kavli Affiliate: Debora Sijacki | First 5 Authors: Rosie Y. Talbot, Debora Sijacki, Martin A. Bourne, , | Summary: In this work, we use hydrodynamical simulations to explore the effects of kinetic AGN jet feedback on the progression and outcome of the major merger of two isolated, gas-rich galaxies. We present simulations that use the […]


Continue.. Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Kavli Affiliate: Debora Sijacki | First 5 Authors: Rosie Y. Talbot, Debora Sijacki, Martin A. Bourne, , | Summary: In this work, we use hydrodynamical simulations to explore the effects of kinetic AGN jet feedback on the progression and outcome of the major merger of two isolated, gas-rich galaxies. We present simulations that use the […]


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RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Kavli Affiliate: Ke Wang | First 5 Authors: Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian | Summary: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instructions, having great limitations […]


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