ZWCL 1856.8 : A rare double radio relic system captured within NuSTAR and Chandra field of view

Kavli Affiliate: Marshall W. Bautz | First 5 Authors: Ayşegül Tümer, Daniel R. Wik, Gerrit Schellenberger, Eric D. Miller, Marshall W. Bautz | Summary: Observations of galaxy cluster mergers provide insights on the particle acceleration and heating mechanisms taking place within the intracluster medium. Mergers form shocks that propagate through the plasma, which result in […]


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The CO outflow components ejected by a recent accretion event in B335

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Chul-Hwan Kim, Jeong-Eun Lee, Carlos Contreras Peña, Doug Johnstone, Gregory J. Herczeg | Summary: Protostellar outflows often present a knotty appearance, providing evidence of sporadic accretion in stellar mass growth. To understand the direct relation between mass accretion and ejection, we analyze the contemporaneous accretion activity […]


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Mid-Infrared Variability of Young Stellar Objects on Timescales of Days to Years

Kavli Affiliate: Gregory Herczeg | First 5 Authors: Sieun Lee, Jeong-Eun Lee, Carlos Contreras Peña, Doug Johnstone, Gregory Herczeg | Summary: Variability in the brightness of Young Stellar Objects (YSOs) is a common phenomenon that can be caused by changes in various factors, including accretion, extinction, disk morphology, interactions between the disk and the stellar […]


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

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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Kinematic Flow and the Emergence of Time

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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Differential Equations for Cosmological Correlators

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

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

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

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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Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting

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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