Cosmological and Astrophysical Parameter Inference from Stacked Galaxy Cluster Profiles Using CAMELS-zoomGZ

Kavli Affiliate: David N. Spergel | First 5 Authors: Elena Hernández-Martínez, Shy Genel, Francisco Villaescusa-Navarro, Ulrich P. Steinwandel, Max E. Lee | Summary: We present a study on the inference of cosmological and astrophysical parameters using stacked galaxy cluster profiles. Utilizing the CAMELS-zoomGZ simulations, we explore how various cluster properties–such as X-ray surface brightness, gas […]


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Dynamics of McMillan mappings III. Symmetric map with mixed nonlinearity

Kavli Affiliate: Young-kee Kim | Summary:This article extends the study of dynamical properties of the symmetric McMillan map, emphasizing its utility in understanding and modeling complex nonlinear systems. Although the map features six parameters, we demonstrate that only two are irreducible: the linearized rotation number at the fixed point and a nonlinear parameter representing the […]


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Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation

Kavli Affiliate: Aaron Roodman | Summary:Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To enable time-delay cosmography from a sample of $mathcalO(10^3)$ lenses, which will soon become available from surveys like the Rubin Observatory’s Legacy Survey of Space […]


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A relativistic model of b-EMRI systems and their gravitational radiation

Kavli Affiliate: Xian Chen | First 5 Authors: Yucheng Yin, Josh Mathews, Alvin J. K. Chua, Xian Chen, | Summary: A binary extreme-mass-ratio inspiral (b-EMRI) is a hierarchical triple system consisting of a stellar-mass binary black hole (BBH) orbiting a central Kerr supermassive black hole (SMBH). Although predicted by several astrophysical models, b-EMRIs pose a […]


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Recurring tidal disruption events a decade apart in IRAS F01004-2237

Kavli Affiliate: Subo Dong | First 5 Authors: Luming Sun, Ning Jiang, Liming Dou, Xinwen Shu, Jiazheng Zhu | Summary: We report the discovery of a second optical flare that occurred in September 2021 in IRAS F01004-2237, where the first flare occurred in 2010 has been reported, and present a detailed analysis of multi-band data. […]


Continue.. Recurring tidal disruption events a decade apart in IRAS F01004-2237

Recurring tidal disruption events a decade apart in IRAS F01004-2237

Kavli Affiliate: Subo Dong | First 5 Authors: Luming Sun, Ning Jiang, Liming Dou, Xinwen Shu, Jiazheng Zhu | Summary: We report the discovery of a second optical flare that occurred in September 2021 in IRAS F01004-2237, where the first flare occurred in 2010 has been reported, and present a detailed analysis of multi-band data. […]


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Dubrovin conjecture and the second structure connection

Kavli Affiliate: Todor Milanov | Summary:We give a reformulation of the Dubrovin conjecture about the semisimplicity of quantum cohomology in terms of the so-called second structure connection of quantum cohomology. The key ingredient in our work is the notion of a twisted reflection vector which allows us to give an elegant description of the monodromy […]


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Dubrovin conjecture and the second structure connection

Kavli Affiliate: Todor Milanov | Summary:We give a reformulation of the Dubrovin conjecture about the semisimplicity of quantum cohomology in terms of the so-called second structure connection of quantum cohomology. The key ingredient in our work is the notion of a twisted reflection vector which allows us to give an elegant description of the monodromy […]


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On Fine-Grained I/O Complexity of Attention Backward Passes

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Large Language Models (LLMs) exhibit exceptional proficiency in handling extensive context windows in natural language. Nevertheless, the quadratic scaling of attention computation relative to sequence length creates substantial efficiency bottlenecks, necessitating the development of I/O-optimized algorithms. In this work, we conduct a […]


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LLMD: A Large Language Model for Interpreting Longitudinal Medical Records

Kavli Affiliate: Troy Porter| First 5 Authors: Robert Porter, Robert Porter, , , | Summary:We introduce LLMD, a large language model designed to analyze a patient’s medical history based on their medical records. Along with domain knowledge, LLMD is trained on a large corpus of records collected over time and across facilities, as well as […]


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