Effect of the Large Magellanic Cloud on the kinematics of Milky Way satellites and virial mass estimate

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Andrey Kravtsov, Sophia Winney, , , | Summary: We present a study illustrating the effects of the passage of a Large Magellanic Cloud (LMC) mass satellite on the distance and velocity distributions of satellites in $Lambda+$Cold Dark Matter simulations of Milky Way (MW) sized halos. In agreement […]


Continue.. Effect of the Large Magellanic Cloud on the kinematics of Milky Way satellites and virial mass estimate

Effect of the Large Magellanic Cloud on the kinematics of Milky Way satellites and virial mass estimate

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Andrey Kravtsov, Sophia Winney, , , | Summary: We present a study illustrating the effects of the passage of a Large Magellanic Cloud (LMC) mass satellite on the distance and velocity distributions of satellites in $Lambda+$Cold Dark Matter simulations of Milky Way (MW) sized halos. In agreement […]


Continue.. Effect of the Large Magellanic Cloud on the kinematics of Milky Way satellites and virial mass estimate

JADES — The small blue bump in GN-z11: insights into the nuclear region of a galaxy at z=10.6

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Xihan Ji, Roberto Maiolino, Gary Ferland, Francesco D’Eugenio, Rachana Bhatawdekar | Summary: We report the detection of continuum excess in the rest-frame UV between 3000 {AA} and 3550 {AA} in the JWST/NIRSpec spectrum of GN-z11, a galaxy hosting an active galactic nucleus (AGN) at z = 10.603. […]


Continue.. JADES — The small blue bump in GN-z11: insights into the nuclear region of a galaxy at z=10.6

TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy

Kavli Affiliate: Jing Wang | First 5 Authors: Meixu Chen, Kai Wang, Michael Dohopolski, Howard Morgan, Jing Wang | Summary: Early identification of head and neck cancer (HNC) patients who would experience significant anatomical change during radiotherapy (RT) is important to optimize patient clinical benefit and treatment resources. This study aims to assess the feasibility […]


Continue.. TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy

The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Kavli Affiliate: Jeffrey J. McMahon | First 5 Authors: Nicholas Galitzki, Tran Tsan, Jake Spisak, Michael Randall, Max Silva-Feaver | Summary: The Simons Observatory (SO) is a cosmic microwave background (CMB) survey experiment that includes small-aperture telescopes (SATs) observing from an altitude of 5,200 m in the Atacama Desert in Chile. The SO SATs will […]


Continue.. The Simons Observatory: Design, integration, and testing of the small aperture telescopes

The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Kavli Affiliate: Jeffrey J. McMahon | First 5 Authors: Nicholas Galitzki, Tran Tsan, Jake Spisak, Michael Randall, Max Silva-Feaver | Summary: The Simons Observatory (SO) is a cosmic microwave background (CMB) survey experiment that includes small-aperture telescopes (SATs) observing from an altitude of 5,200 m in the Atacama Desert in Chile. The SO SATs will […]


Continue.. The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Kavli Affiliate: Ran Wang | First 5 Authors: Yuchen Shi, Shihong Duan, Cheng Xu, Ran Wang, Fangwen Ye | Summary: This work introduces a novel value decomposition algorithm, termed textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs to articulate the decomposition of value functions, offering enhanced flexibility and adaptability to […]


Continue.. Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Kavli Affiliate: Ran Wang | First 5 Authors: Yuchen Shi, Shihong Duan, Cheng Xu, Ran Wang, Fangwen Ye | Summary: This work introduces a novel value decomposition algorithm, termed textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs to articulate the decomposition of value functions, offering enhanced flexibility and adaptability to […]


Continue.. Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation

Kavli Affiliate: Jing Wang | First 5 Authors: Meixu Chen, Kai Wang, Jing Wang, , | Summary: A comprehensive and reliable survival prediction model is of great importance to assist in the personalized management of Head and Neck Cancer (HNC) patients treated with curative Radiation Therapy (RT). In this work, we propose IMLSP, an Interpretable […]


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Cosmological Consequences of Unconstrained Gravity and Electromagnetism

Kavli Affiliate: Tom Melia | First 5 Authors: Loris Del Grosso, David E Kaplan, Tom Melia, Vivian Poulin, Surjeet Rajendran | Summary: Motivated by the quantum description of gauge theories, we study the cosmological effects of relaxing the Hamiltonian and momentum constraints in general relativity and Gauss’ law in electromagnetism. We show that the unconstrained […]


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