Kavli Affiliate: Moritz Guenther | Summary:We present an overview of Sherpa, an open source Python project, and discuss its development history, broad design concepts and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can be fit to data using a variety of statistics and optimization methods. It is easily extensible […]
Kavli Affiliate: Moritz Guenther | Summary:The C IV doublet in the UV has long been associated with accretion in T Tauri stars. However, it is still unclear where and how the lines are formed. Here, we present a new C IV line model based on the currently available accretion shock and accretion flow models. We […]
Kavli Affiliate: Shigeki Matsumoto | Summary:Dark matter with mass in the crossover range between wave dark matter and particle dark matter, around $(10^-3,, 10^3),$eV, remains relatively unexplored by terrestrial experiments. In this mass regime, dark matter scatters coherently with macroscopic objects. The effect of the coherent scattering greatly enhances the accelerations of the targets that […]
Kavli Affiliate: Roland Vanderspek | First 5 Authors: Masafumi Niwano, Michael M. Fausnaugh, Ryan M. Lau, Kishalay De, Roberto Soria | Summary: The mechanism of X-ray outbursts in Be X-ray binaries remains a mystery, and understanding their circumstellar disks is crucial for a solution of the mass-transfer problem. In particular, it is important to identify […]
Kavli Affiliate: Michael M. Fausnaugh | First 5 Authors: Masafumi Niwano, Michael M. Fausnaugh, Ryan M. Lau, Kishalay De, Roberto Soria | Summary: The mechanism of X-ray outbursts in Be X-ray binaries remains a mystery, and understanding their circumstellar disks is crucial for a solution of the mass-transfer problem. In particular, it is important to […]
Kavli Affiliate: Zeeshan Ahmed | Summary:We evaluate the impact of inference model on uncertainties when using continuous wave Optically Detected Magnetic Resonance (ODMR) measurements to infer temperature. Our approach leverages a probabilistic feedforward inference model designed to maximize the likelihood of observed ODMR spectra through automatic differentiation. This model effectively utilizes the temperature dependence of […]
Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang | Summary: Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification […]