Fitting pseudo-S${rm acute{e}}$rsic(Spergel) light profiles to galaxies in interferometric data: the excellence of the $uv$-plane

Posted by dbos Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Qing-Hua Tan, Emanuele Daddi, Victor de Souza Magalhães, Carlos Gómez-Guijarro, Jérôme Pety | Summary: Modern (sub)millimeter interferometers, such as ALMA and NOEMA, offer high angular resolution and unprecedented sensitivity. This provides the possibility to characterize the morphology of the gas and dust in distant galaxies. To […]


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Programmable patchy particles for materials design

Posted by dbos Harvard

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Ella M. King, Chrisy Xiyu Du, Qian-Ze Zhu, Samuel S. Schoenholz, Michael P. Brenner | Summary: Direct design of complex functional materials would revolutionize technologies ranging from printable organs to novel clean energy devices. However, even incremental steps towards designing functional materials have proven challenging. If […]


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Differential Equations for Cosmological Correlators

Posted by Chicago

Kavli Affiliate: Austin Joyce | First 5 Authors: Nima Arkani-Hamed, Daniel Baumann, Aaron Hillman, Austin Joyce, Hayden Lee | Summary: Cosmological fluctuations retain a memory of the physics that generated them in their spatial correlations. The strength of correlations varies smoothly as a function of external kinematics, which is encoded in differential equations satisfied by […]


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Differential Equations for Cosmological Correlators

Posted by Chicago

Kavli Affiliate: Austin Joyce | First 5 Authors: Nima Arkani-Hamed, Daniel Baumann, Aaron Hillman, Austin Joyce, Hayden Lee | Summary: Cosmological fluctuations retain a memory of the physics that generated them in their spatial correlations. The strength of correlations varies smoothly as a function of external kinematics, which is encoded in differential equations satisfied by […]


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Kinematic Flow and the Emergence of Time

Posted by Chicago

Kavli Affiliate: Austin Joyce | First 5 Authors: Nima Arkani-Hamed, Daniel Baumann, Aaron Hillman, Austin Joyce, Hayden Lee | Summary: Perhaps the most basic question we can ask about cosmological correlations is how their strength changes as we smoothly vary kinematic parameters. The answer is encoded in differential equations that govern this evolution in kinematic […]


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Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Yuquan Zhang, Zhong Cao, Feng Wang, Lam, Man I | Summary: The Chinese Space Station Telescope (abbreviated as CSST) is a future advanced space telescope. Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) images is of great value during CSST survey. While recent research on […]


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Detecting DBMS Bugs with Context-Sensitive Instantiation and Multi-Plan Execution

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Jiaqi Li, Ke Wang, Yaoguang Chen, Yajin Zhou, Lei Wu | Summary: DBMS bugs can cause serious consequences, posing severe security and privacy concerns. This paper works towards the detection of memory bugs and logic bugs in DBMSs, and aims to solve the two innate challenges, including […]


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Integrating the PanDA Workload Management System with the Vera C. Rubin Observatory

Posted by dbos Stanford

Kavli Affiliate: Richard Dubois | First 5 Authors: Edward Karavakis, Wen Guan, Zhaoyu Yang, Tadashi Maeno, Torre Wenaus | Summary: The Vera C. Rubin Observatory will produce an unprecedented astronomical data set for studies of the deep and dynamic universe. Its Legacy Survey of Space and Time (LSST) will image the entire southern sky every […]


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Low Resistance Ohmic Contact to P-type Monolayer WSe2

Posted by dbos Berkeley

Kavli Affiliate: Michael Crommie | First 5 Authors: Jingxu Xie, Zuocheng Zhang, Haodong Zhang, Vikram Nagarajan, Wenyu Zhao | Summary: Advanced microelectronics in the future may require semiconducting channel materials beyond silicon. Two-dimensional (2D) semiconductors, characterized by their atomically thin thickness, hold immense promise for high-performance electronic devices at the nanometer scale with lower heat […]


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Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Jun Xie, Yuqi Zhang, Yu Zhao, | Summary: Improving neural machine translation (NMT) systems with prompting has achieved significant progress in recent years. In this work, we focus on how to integrate multi-knowledge, multiple types of knowledge, into NMT models to enhance the performance with […]


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