Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Arka Banerjee, Kimberly K. Boddy, Francis-Yan Cyr-Racine, Adrienne L. Erickcek, Daniel Gilman | Summary: Over the past several decades, unexpected astronomical discoveries have been fueling a new wave of particle model building and are inspiring the next generation of ever-more-sophisticated simulations to reveal the nature of Dark […]


Continue.. Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Kavli Affiliate: Mark Vogelsberger, Lina Necib | First 5 Authors: Arka Banerjee, Kimberly K. Boddy, Francis-Yan Cyr-Racine, Adrienne L. Erickcek, Daniel Gilman | Summary: Over the past several decades, unexpected astronomical discoveries have been fueling a new wave of particle model building and are inspiring the next generation of ever-more-sophisticated simulations to reveal the nature […]


Continue.. Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

Kavli Affiliate: Ke Wang | First 5 Authors: Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang | Summary: Recently, various multimodal networks for Visually-Rich Document Understanding(VRDU) have been proposed, showing the promotion of transformers by integrating visual and layout information with the text embeddings. However, most existing approaches utilize the position embeddings to […]


Continue.. XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

Kavli Affiliate: Ke Wang | First 5 Authors: Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang | Summary: Recently, various multimodal networks for Visually-Rich Document Understanding(VRDU) have been proposed, showing the promotion of transformers by integrating visual and layout information with the text embeddings. However, most existing approaches utilize the position embeddings to […]


Continue.. XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

Snowmass2021 Cosmic Frontier: The landscape of cosmic-ray and high-energy photon probes of particle dark matter

Kavli Affiliate: Tom Melia, Shigeki Matsumoto | First 5 Authors: Tsuguo Aramaki, Mirko Boezio, James Buckley, Esra Bulbul, Philip von Doetinchem | Summary: This white paper discusses the current landscape and prospects for experiments sensitive to particle dark matter processes producing photons and cosmic rays. Much of the gamma-ray sky remains unexplored on a level […]


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Snowmass2021 Cosmic Frontier White Paper: Puzzling Excesses in Dark Matter Searches and How to Resolve Them

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Rebecca K. Leane, Seodong Shin, Liang Yang, Govinda Adhikari, Haider Alhazmi | Summary: Intriguing signals with excesses over expected backgrounds have been observed in many astrophysical and terrestrial settings, which could potentially have a dark matter origin. Astrophysical excesses include the Galactic Center GeV gamma-ray excess detected […]


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FEMA: Fast and efficient mixed-effects algorithm for population-scale whole brain imaging data

Kavli Affiliate: Terry Jernigan, Anders Dale, Wesley Thompson | Authors: Chun Chieh Fan, Clare E Palmer, John Iverson, Diliana Pecheva, Oleksandr Frei, Dominic Holland, Wesley K Thompson, Donald Hagler, Terry L Jernigan, Ole Andreassen, Anders M. Dale and Thomas Nichols | Summary: The linear mixed effects model (LME) is a versatile modeling approach to deal […]


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Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Kavli Affiliate: John E. Carlstrom | First 5 Authors: Eric J. Baxter, Chihway Chang, Andrew Hearin, Jonathan Blazek, Lindsey E. Bleem | Summary: Cosmological data in the next decade will be characterized by high-precision, multi-wavelength measurements of thousands of square degrees of the same patches of sky. By performing multi-survey analyses that harness the correlated […]


Continue.. Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Kavli Affiliate: John E. Carlstrom | First 5 Authors: Eric J. Baxter, Chihway Chang, Andrew Hearin, Jonathan Blazek, Lindsey E. Bleem | Summary: Cosmological data in the next decade will be characterized by high-precision, multi-wavelength measurements of thousands of square degrees of the same patches of sky. By performing multi-survey analyses that harness the correlated […]


Continue.. Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes

Kavli Affiliate: Jia Liu | First 5 Authors: Eric J. Baxter, Chihway Chang, Andrew Hearin, Jonathan Blazek, Lindsey E. Bleem | Summary: Cosmological data in the next decade will be characterized by high-precision, multi-wavelength measurements of thousands of square degrees of the same patches of sky. By performing multi-survey analyses that harness the correlated nature […]


Continue.. Snowmass2021: Opportunities from Cross-survey Analyses of Static Probes