Zobrazeno 1 - 10
of 14 726
pro vyhledávání: '"Manchester A"'
Autor:
Ahmad, A., Dai, S., Lazarević, S., Filipović, M. D., Johnston, S., Kerr, M., Li, D., Maitra, C., Manchester, R. N.
Detecting a pulsar associated with a supernova remnant (SNR) and/or pulsar wind nebula (PWN) is crucial for unraveling its formation history and pulsar wind dynamics, yet the association with a radio pulsar is observed only in a small fraction of kno
Externí odkaz:
http://arxiv.org/abs/2412.11345
Autor:
Liu, Weihao, Sokolov, Igor V., Zhao, Lulu, Gombosi, Tamas I., Chen, Xiaohang, Sachdeva, Nishtha, Tóth, Gábor, Manchester IV, Ward B., Lario, David, Whitman, Kathryn, Bruno, Alessandro, Cohen, Christina M. S., Mays, M. Leila, Bain, Hazel M.
Solar energetic particles (SEPs) can pose hazardous radiation risks to both humans in space and spacecraft electronics. Numerical modeling based on first principles offers valuable insights into SEPs, providing synthetic observables for SEPs at any t
Externí odkaz:
http://arxiv.org/abs/2412.07581
Autor:
You, Zhi-Qiang, Zhu, Xingjiang, Liu, Xiaojin, Müller, Bernhard, Heger, Alexander, Stevenson, Simon, Thrane, Eric, Chen, Zu-Cheng, Sun, Ling, Lasky, Paul, Galloway, Duncan K., Bailes, Matthew, Hobbs, George, Manchester, Richard N., Gao, He, Zhu, Zong-Hong
The birth mass function of neutron stars encodes rich information about supernova explosions, double star evolution, and properties of matter under extreme conditions. To date, it has remained poorly constrained by observations, however. Applying pro
Externí odkaz:
http://arxiv.org/abs/2412.05524
Autor:
Xue, Xiao, Dai, Shi, Luu, Hoang Nhan, Liu, Tao, Ren, Jing, Shu, Jing, Zhao, Yue, Zic, Andrew, Bhat, N. D. Ramesh, Chen, Zu-Cheng, Feng, Yi, Hobbs, George, Kapur, Agastya, Manchester, Richard N., Mandow, Rami, Mishra, Saurav, Reardon, Daniel J., Russell, Christopher J., Shannon, Ryan M., Wang, Shuangqiang, Zhang, Lei, Zhang, Songbo, Zhu, Xingjiang
We conduct the first-ever Pulsar Polarization Array (PPA) analysis to detect the ultralight Axion-Like Dark Matter (ALDM) using the polarization data of 22 millisecond pulsars from the third data release of Parkes Pulsar Timing Array. As one of the m
Externí odkaz:
http://arxiv.org/abs/2412.02229
In this work, we introduce a framework that enables highly maneuverable locomotion using non-periodic contacts. This task is challenging for traditional optimization and planning methods to handle due to difficulties in specifying contact mode sequen
Externí odkaz:
http://arxiv.org/abs/2411.01387
We propose a novel layer-wise parameterization for convolutional neural networks (CNNs) that includes built-in robustness guarantees by enforcing a prescribed Lipschitz bound. Each layer in our parameterization is designed to satisfy a linear matrix
Externí odkaz:
http://arxiv.org/abs/2410.22258
This paper presents PHODCOS, an algorithm that assigns a moving coordinate system to a given curve. The parametric functions underlying the coordinate system, i.e., the path function, the moving frame and its angular velocity, are exact -- approximat
Externí odkaz:
http://arxiv.org/abs/2410.07750
Recent spacecraft mission concepts propose larger payloads that have lighter, less rigid structures. For large lightweight structures, the natural frequencies of their vibration modes may fall within the attitude controller bandwidth, threatening the
Externí odkaz:
http://arxiv.org/abs/2410.07376
Autor:
Jin, Meng, Li, Gang, Nitta, Nariaki, Liu, Wei, Petrosian, Vahe, Manchester, Ward, Cohen, Christina, Effenberger, Frederic, Ding, Zheyi, Pesce-Rollins, Melissa, Omodei, Nicola, Gopalswamy, Nat
Shocks driven by coronal mass ejections (CMEs) are primary drivers of gradual solar energetic particle (SEP) events, posing significant risks to space technology and astronauts. Concurrently, particles accelerated at these shocks may also propagate b
Externí odkaz:
http://arxiv.org/abs/2409.18020
This paper presents a system for enabling real-time synthesis of whole-body locomotion and manipulation policies for real-world legged robots. Motivated by recent advancements in robot simulation, we leverage the efficient parallelization capabilitie
Externí odkaz:
http://arxiv.org/abs/2409.10469