2024 – Page 14 – Kavli Institute Pre-Print Publications

Development of a bipolar 50 V output digital-to-analog converter system for ion-shuttling operations

Posted by klaurent December 10, 2024Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: T. Oshio, R. Nishimoto, T. Higuchi, K. Hayasaka, K. Koike | Summary: The quantum charge-coupled device (QCCD) is one of the notable architectures to achieve large-scale trapped-ion quantum computers. To realize QCCD architecture, ions must be transported quickly while minimizing motional excitation. High-voltage sources are necessary to […]

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Development of a bipolar 50 V output digital-to-analog converter system for ion-shuttling operations

Posted by dbos December 10, 2024Tokyo

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Relativistic Mott transition in strongly correlated artificial graphene

Posted by dbos December 10, 2024January 13, 2025Cornell

Kavli Affiliate: Jie Shan | First 5 Authors: Liguo Ma, Raghav Chaturvedi, Phuong X. Nguyen, Kenji Watanabe, Takashi Taniguchi | Summary: The realization of graphene has provided a bench-top laboratory for quantum electrodynamics. The low-energy excitations of graphene are two-dimensional massless Dirac fermions with opposite chiralities at the $pm$K valleys of the graphene Brillouin zone. […]

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Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning

Posted by klaurent December 9, 2024Peking

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:Imitation learning (IL) is a paradigm for learning sequential decision making policies from experts, leveraging offline demonstrations, interactive annotations, or both. Recent advances show that when annotation cost is tallied per trajectory, Behavior Cloning (BC) which relies solely on offline demonstrations cannot […]

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Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s Disease

Posted by dbos December 9, 2024January 13, 2025UCSF

Kavli Affiliate: Jeremy Willsey | Authors: Elina Kostyanovskaya, Micaela C. Lasser, Belinda Wang, James Schmidt, Ethel Bader, Chad Buteo, Juan Arbelaez, Aria Rani Sindledecker, Kate E. McCluskey, Octavio Castillo, Sheng Wang, Jeanselle Dea, Kathryn A. Helde, J. Michael Graglia, Elise Brimble, David B. Kastner, Aliza T. Ehrlich, Matthew W. State, A. Jeremy Willsey and Helen […]

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Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

Posted by dbos December 9, 2024January 13, 2025Columbia

Kavli Affiliate: Liam Paninski | Authors: Stefano Fusi and Liam Paninski | Summary: The brain is highly structured both at anatomical and functional levels. However, within individual brain areas, neurons often exhibit very diverse and seemingly disorganized responses. A more careful analysis shows that these neurons can sometimes be grouped together into specialized subpopulations (categorical […]

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How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by klaurent December 9, 2024Stanford

Kavli Affiliate: Risa Wechsler | Summary:Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these uncertainties, we examine quenched and star-forming galaxies using two distinct approaches to modeling galaxy […]

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How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by klaurent December 9, 2024Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: , , , , | Summary: Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these uncertainties, we examine quenched […]

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The Sloan Digital Sky Survey Reverberation Mapping Project: Insights on Maximizing Efficiency in Lag Measurements and Black-Hole Masses

Posted by dbos December 9, 2024Peking

Kavli Affiliate: Luis C. Ho | First 5 Authors: Y. Homayouni, Yuanzhe Jiang, W. N. Brandt, C. J. Grier, Jonathan R. Trump | Summary: Multi-year observations from the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) project have significantly increased the number of quasars with reliable reverberation-mapping lag measurements. We statistically analyze target properties, light-curve characteristics, […]

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How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by dbos December 9, 2024January 13, 2025Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Mahlet Shiferaw, Nickolas Kokron, Risa H. Wechsler, , | Summary: Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these […]

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