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Dark and Luminous Matter in the Coma Cluster — Probing Galaxy Cluster Assembly Through Filaments with Weak Lensing and Multiwavelength Observations

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Dark and Luminous Matter in the Coma Cluster — Probing Galaxy Cluster Assembly Through Filaments with Weak Lensing and Multiwavelength Observations

·10 min read·K. HyeongHan, K. Finner, M. James Jee et al.

This paper presents a comprehensive weak-lensing (WL) and multiwavelength analysis of the nearby, rich Coma galaxy cluster (Abell 1656, z=0.023), aiming to characterize its dark matter distribution…

researchweak-lensinggalaxy-clustersdark-matter-mappingdeep-learning

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Doc-to-Atom — Learning to Compile and Compose Memory Atoms

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Doc-to-Atom — Learning to Compile and Compose Memory Atoms

·8 min read·Xingjian Diao, Wenbo Li, Yashas Malur Saidutta et al.

Doc-to-Atom (Doc2Atom) addresses the inefficiencies and limitations of prior document internalization approaches like Doc-to-LoRA, which compress an entire document into a single monolithic low-ran…

researchlarge-language-modelsparametric-memorycontext-distillationlow-rank-adapters

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Getting to know the Stellar Clusters in NGC 1569 — Bayesian inference of stellar cluster properties in a dwarf starburst galaxy

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Getting to know the Stellar Clusters in NGC 1569 — Bayesian inference of stellar cluster properties in a dwarf starburst galaxy

·10 min read·Bjarki Björgvinsson, Anna F. McLeod, Bronwyn Reichardt Chu et al.

This paper addresses the challenge of accurately inferring the physical properties—age and mass—of star clusters in the dwarf starburst galaxy NGC 1569, which is located about 3.25 Mpc away and und…

researchbayesian-inferencestochastic-modelingstar-clustersdwarf-galaxies

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