This work introduces a statistical framework to obtain Bayesian constraints on planet formation parameters, which offers a probabilistic interpretation of uncertainties and degeneracies contained ...
1 Physics Laboratory 1, Department of Physics and Applied Sciences, Faculty of Science, National Pedagogical University, Kinshasa, Democratic Republic of Congo. 2 English Department, Teachers Training ...
The goal of this library is to provide a starting point for users in metrology and related areas who deal with time-dependent i.e., dynamic, measurements. The initial version of this software was ...
Journal of Nuclear Medicine September 2025, jnumed.125.269539; DOI: https://doi.org/10.2967/jnumed.125.269539 ...
NVIDIA Omniverse is an extensible simulation and 3D world-building platform built around Universal Scene Description (OpenUSD) for representing complex scenes. It emphasizes physically-based realism ...
With the experiences of the pandemic, an active war on its doorstep, and the sharp increase of foreign hybrid operations on European soil within the last few years, the European Union (EU) has found ...
hemipy is an open-source Python module for deriving forest biophysical variables and uncertainties from digital hemispherical photographs in an automated manner. hemipy is well-suited to batch ...
Electrolytes are considered crucial for the performance of batteries, and therefore indispensable for future energy storage research. This paper presents data that describes the effect of the ...
We present a Python-based framework for the complete operation of a robotic telescope observatory. It provides out-of-the-box support for many popular camera types while other hardware like telescopes ...
Laboratory of Computational Science and Modeling, IMX, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland National Centre for Computational Design and Discovery of Novel Materials ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results