Zobrazeno 1 - 10
of 16 092
pro vyhledávání: '"P Kurtz"'
Autor:
Kurtz, Donald W., Handler, Gerald, Holdsworth, Daniel L., Cunha, Margarida S., Saio, Hideyuki, Medupe, Thebe, Murphy, Simon J., Krüger, Joachim, Brunsden, E., Antoci, Victoria, Hey, Daniel R., Shitrit, Noi, Matthews, Jaymie M.
HD 60435 is a well-known rapidly oscillating (roAp) Ap star with a series of alternating even and odd degree modes, making it a prime asteroseismic target. It is also an oblique pulsator with rotational inclination, $i$, and magnetic/pulsation obliqu
Externí odkaz:
http://arxiv.org/abs/2412.04840
Autor:
Kurtz, Felix, von Witte, Gevin, Jehn, Lukas, Akbiyik, Alp, Vinograd, Igor, Tacon, Matthieu Le, Haghighirad, Amir A., Chen, Dong, Shekhar, Chandra, Felser, Claudia, Ropers, Claus
The discovery of the kagome metal CsV$_3$Sb$_5$ sparked broad interest, due to the coexistence of a charge density wave (CDW) phase and possible unconventional superconductivity in the material. In this study, we use low-energy electron diffraction (
Externí odkaz:
http://arxiv.org/abs/2412.02599
Autor:
Besançon, Mathieu, Kurtz, Jannis
We tackle robust optimization problems under objective uncertainty in the oracle model, i.e., when the deterministic problem is solved by an oracle. The oracle-based setup is favorable in many situations, e.g., when a compact formulation of the feasi
Externí odkaz:
http://arxiv.org/abs/2411.19848
Stars in close binaries are tidally distorted, and this has a strong effect on their pulsation modes. We compute the mode frequencies and geometries of tidally distorted stars using perturbation theory, accounting for the effects of the Coriolis forc
Externí odkaz:
http://arxiv.org/abs/2411.09743
Despite the popularity of large language model (LLM) quantization for inference acceleration, significant uncertainty remains regarding the accuracy-performance trade-offs associated with various quantization formats. We present a comprehensive empir
Externí odkaz:
http://arxiv.org/abs/2411.02355
Large language models (LLMs) are being used in data science code generation tasks, but they often struggle with complex sequential tasks, leading to logical errors. Their application to geospatial data processing is particularly challenging due to di
Externí odkaz:
http://arxiv.org/abs/2410.18792
Autor:
Kurtz, Vince, Burdick, Joel W.
The recent success of diffusion-based generative models in image and natural language processing has ignited interest in diffusion-based trajectory optimization for nonlinear control systems. Existing methods cannot, however, handle the nonlinear equ
Externí odkaz:
http://arxiv.org/abs/2410.01939
Autor:
Rahman, Arefur, Wasserbeck, Noah I., Goisman, Zachary, Fernandes, Rhea P., Kirby, Brian T., Alshowkan, Muneer, Kurtz, Chris, Lukens, Joseph M.
The development of large-scale quantum networks requires reliable quantum channels, the quality of which can be quantified by the framework of quantum process tomography. In this work, we leverage ancilla-assisted process tomography and Bayesian infe
Externí odkaz:
http://arxiv.org/abs/2410.00892
Autor:
Shi, Fangfei, Zhang, Huawei, Hubrig, Swetlana, Jarvinen, Silva, Chen, Huiling, Cang, Tianqi, Fu, Jianning, Kurtz, Donald
KIC 10685175 is a roAp star whose polar magnetic field is predicted to be 6 kG through a non-adiabatic axisymmetric pulsation theoretical model. In this work, we aim to measure the magnetic field strength of KIC 10685175 using high-resolution spectro
Externí odkaz:
http://arxiv.org/abs/2409.19593
Achieving human-like dexterity is a longstanding challenge in robotics, in part due to the complexity of planning and control for contact-rich systems. In reinforcement learning (RL), one popular approach has been to use massively-parallelized, domai
Externí odkaz:
http://arxiv.org/abs/2409.14562