Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

Kavli Affiliate: Maria Elena Monzani | First 5 Authors: Antonio Boveia, Thomas Y. Chen, Caterina Doglioni, Alex Drlica-Wagner, Stefania Gori | Summary: The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have […]


Continue.. Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

Kavli Affiliate: Maria Elena Monzani | First 5 Authors: Antonio Boveia, Thomas Y. Chen, Caterina Doglioni, Alex Drlica-Wagner, Stefania Gori | Summary: The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have […]


Continue.. Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

TF1 Snowmass Report: Quantum gravity, string theory, and black holes

Kavli Affiliate: Emil Martinec | First 5 Authors: Daniel Harlow, Shamit Kachru, Juan Maldacena, Ibou Bah, Mike Blake | Summary: We give an overview of the field of quantum gravity, string theory and black holes summarizing various white papers in this subject that were submitted as part of the Snowmass process. | Search Query: ArXiv […]


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Resting-State Electroencephalography for Continuous, Passive Prediction of Coma Recovery After Acute Brain Injury

Kavli Affiliate: Michael Young | Authors: Morteza Zabihi, Daniel B. Rubin, Sophie E. Ack, Emily J. Gilmore, Valdery Moura Junior, Sahar F. Zafar, Quanzheng Li, Michael J. Young, Brian L. Edlow, Yelena G. Bodien and Eric S. Rosenthal | Summary: Abstract Accurately predicting emergence from disorders of consciousness (DoC) after acute brain injury can profoundly […]


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A Quarter Century of Guitar Nebula/Filament Evolution

Kavli Affiliate: Roger W. Romani | First 5 Authors: Martijn de Vries, Roger W. Romani, Oleg Kargaltsev, George Pavlov, Bettina Posselt | Summary: We have collected a new deep {it Chandra X-ray Observatory} ({it CXO}) exposure of PSR B2224+65 and the `Guitar Nebula’, mapping the complex X-ray structure. This is accompanied by a new {it […]


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Stacked binding of a small molecule PET tracer to Alzheimer’s tau paired helical filaments

Kavli Affiliate: Stanley Prusiner | Authors: Gregory E. Merz, Matthew J. Chalkley, Sophia Tan, Eric Tse, Joanne Lee, Stanley B. Prusiner, Nick A. Paras, William F. DeGrado and Daniel R. Southworth | Summary: Abstract Neurodegenerative diseases (NDs) are characterized by the formation of amyloid filaments that adopt disease-specific conformations in the brain. Recently developed small […]


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A Roadmap For Scientific Ballooning 2020-2030

Kavli Affiliate: Abigail Vieregg | First 5 Authors: Peter Gorham, James Anderson, Pietro Bernasconi, Supriya Chakrabarti, T. Gregory Guzik | Summary: From 2018 to 2020, the Scientific Balloon Roadmap Program Analysis Group (Balloon Roadmap PAG) served as an community-based, interdisciplinary forum for soliciting and coordinating community analysis and input in support of the NASA Scientific […]


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OGLE-BLG504.12.201843: A possible extreme dwarf nova

Kavli Affiliate: Subo Dong | First 5 Authors: Camille Landri, Ondřej Pejcha, Michał Pawlak, Andrzej Udalski, Jose L. Prieto | Summary: We present the analysis of existing optical photometry and new optical spectroscopy of the candidate cataclysmic variable star OGLE-BLG504.12.201843. As was shown previously, this object has an orbital period of 0.523419 days and exhibits […]


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Omnigrok: Grokking Beyond Algorithmic Data

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric J. Michaud, Max Tegmark, , | Summary: Grokking, the unusual phenomenon for algorithmic datasets where generalization happens long after overfitting the training data, has remained elusive. We aim to understand grokking by analyzing the loss landscapes of neural networks, identifying the mismatch between training […]


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