Tunable Inter-Moiré Physics in Consecutively-Twisted Trilayer Graphene

Kavli Affiliate: Ke Wang | First 5 Authors: Wei Ren, Konstantin Davydov, Ziyan Zhu, Jaden Ma, Kenji Watanabe | Summary: We fabricate a twisted trilayer graphene device with consecutive twist angles of 1.33 and 1.64 degrees, in which we electrostatically tune the electronic states from each of the two co-existing moir’e superlattices and the interactions […]


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Josephson Diode Effect in Topological Superconductor

Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Linghao Huang, Jing Wang, , | Summary: We investigate the Josephson diode effect in topological Josephson junctions. We find that while a Josephson junction in the topological phase may exhibit higher diode efficiency compared to that in the trivial phase, this behavior is not universal. […]


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Josephson Diode Effect in Topological Superconductor

Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Linghao Huang, Jing Wang, , | Summary: We investigate the Josephson diode effect (JDE) in topological Josephson junctions. By both analytic and numerical calculations, we find that while a Josephson junction in the topological phase may exhibit higher diode efficiency compared to that in the […]


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Black hole mass and Eddington ratio distributions of less-luminous quasars at $zsim4$ in the Subaru Hyper Suprime-Cam Wide field

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wanqiu He, Masayuki Akiyama, Motohiro Enoki, Kohei Ichikawa, Kohei Inayoshi | Summary: We investigate the black hole mass function (BHMF) and Eddington ratio distribution function (ERDF) of broad-line AGNs at z=4, based on a sample of 52 quasars with i<23.2 at 3.50 < z < 4.25 from […]


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The ALMA-QUARKS survey: — I. Survey description and data reduction

Kavli Affiliate: Ke Wang | First 5 Authors: Xunchuan Liu, Tie Liu, Lei Zhu, Guido Garay, Hong-Li Liu | Summary: This paper presents an overview of the QUARKS survey, which stands for `Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures’. The QUARKS survey is observing 139 massive clumps covered by […]


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Charged vacancy in graphene: interplay between Landau levels and atomic collapse resonances

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Wen-Sheng Zhao, Yue Hu, R. N. Costa Filho, Francois M. Peeters | Summary: The interplay between a magnetic field and the Coulomb potential from a charged vacancy on the electron states in graphene is investigated within the tight-binding model. The Coulomb potential removes locally Landau […]


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Black holes regulate cold gas accretion in massive galaxies

Kavli Affiliate: Luis C. Ho | First 5 Authors: Tao Wang, Ke Xu, Yuxuan Wu, Yong Shi, David Elbaz | Summary: Nearly every massive galaxy contains a supermassive black hole (BH) at its center. For decades, both theory and numerical simulations have indicated that BHs play a central role in regulating the growth and quenching […]


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Probabilistic Inference of the Structure and Orbit of Milky Way Satellites with Semi-Analytic Modeling

Dylan Folsom, Oren Slone, Mariangela Lisanti, Fangzhou Jiang, Manoj Kaplinghat | Summary: [[{“value”:”Semi-analytic modeling furnishes an efficient avenue for characterizing the properties of dark matter halos associated with satellites of Milky Way-like systems, as it easily accounts for uncertainties arising from halo-to-halo variance, the orbital disruption of satellites, baryonic feedback, and the stellar-to-halo mass (SMHM) […]


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The High Energy X-ray Probe (HEX-P): The Future of Hard X-ray Dual AGN Science

Kavli Affiliate: Claudio Ricci | First 5 Authors: Ryan W. Pfeifle, Peter G. Boorman, Kimberly A. Weaver, Johannes Buchner, Francesca Civano | Summary: A fundamental goal of modern-day astrophysics is to understand the connection between supermassive black hole (SMBH) growth and galaxy evolution. Merging galaxies offer one of the most dramatic channels for galaxy evolution […]


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Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Raman Goyal, Suman Chakravorty, , | Summary: This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of the iterative linear quadratic regulator (iLQR) to design closed-loop feedback control for high-dimensional dynamical […]


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