Zobrazeno 1 - 10
of 2 668
pro vyhledávání: '"Rizzuti, A."'
The study of symmetries in the realm of manifolds can be approached in two different ways. On one hand, Killing vector fields on a (pseudo-)Riemannian manifold correspond to the directions of local isometries within it. On the other hand, from an alg
Externí odkaz:
http://arxiv.org/abs/2409.03138
Autor:
Rizzuti, Federico, Hirschi, Raphael, Varma, Vishnu, Arnett, William David, Georgy, Cyril, Meakin, Casey, Mocák, Miroslav, Murphy, Alexander St. John, Rauscher, Thomas
One-dimensional (1D) stellar evolution models are widely used across various astrophysical fields, however they are still dominated by important uncertainties that deeply affect their predictive power. Among those, the merging of independent convecti
Externí odkaz:
http://arxiv.org/abs/2407.15544
Autor:
Georgy, C., Rizzuti, F., Hirschi, R., Varma, V., Arnett, W. D., Meakin, C., Mocak, M., Murphy, A. StJ., Rauscher, T.
The treatment of convection remains a major weakness in the modelling of stellar evolution with one-dimensional (1D) codes. The ever increasing computing power makes now possible to simulate in 3D part of a star for a fraction of its life, allowing u
Externí odkaz:
http://arxiv.org/abs/2405.21033
Autor:
Orozco, Rafael, Witte, Philipp, Louboutin, Mathias, Siahkoohi, Ali, Rizzuti, Gabrio, Peters, Bas, Herrmann, Felix J.
InvertibleNetworks.jl is a Julia package designed for the scalable implementation of normalizing flows, a method for density estimation and sampling in high-dimensional distributions. This package excels in memory efficiency by leveraging the inheren
Externí odkaz:
http://arxiv.org/abs/2312.13480
Publikováno v:
Brazilian Journal of Physics 54, 93 (2024)
This work seeks to make explicit the operational connection between the preparation of two-level quantum systems with their corresponding description (as states) in a Hilbert space. This may sound outdated, but we show there is more to this connectio
Externí odkaz:
http://arxiv.org/abs/2312.09270
Autor:
Luca Sancineto, Francesca Mangiavacchi, Agnieszka Dabrowska, Agata J. Pacuła-Miszewska, Magdalena Obieziurska-Fabisiak, Cecilia Scimmi, Veronica Ceccucci, Juan Kong, Yao Zhao, Gianluca Ciancaleoni, Vanessa Nascimento, Bruno Rizzuti, Marco Bortoli, Laura Orian, Anna Kula-Pacurar, Haitao Yang, Jacek Ścianowski, Ying Lei, Krzysztof Pyrc, Claudio Santi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Although global vaccination campaigns alleviated the SARS-CoV-2 pandemic in terms of morbidity and mortality, the ability of the virus to originate mutants may reduce the efficacy of vaccines, posing a serious risk of a renewed pandemic. The
Externí odkaz:
https://doaj.org/article/226d7ea937b54aa098a61f09b34778cd
Autor:
Rizzuti, F., Hirschi, R., Arnett, W. D., Georgy, C., Meakin, C., Murphy, A. StJ., Rauscher, T., Varma, V.
Our knowledge of stellar evolution is driven by one-dimensional (1D) simulations. 1D models, however, are severely limited by uncertainties on the exact behaviour of many multi-dimensional phenomena occurring inside stars, affecting their structure a
Externí odkaz:
http://arxiv.org/abs/2305.13912
Publikováno v:
Eur. J. Phys. 44, 065204 (2023)
In this work, we demonstrate explicitly the unified nature of electric and magnetic fields, from the principles of special relativity and Lorentz transformations of the electromagnetic field tensor. Using an operational approach we construct the tens
Externí odkaz:
http://arxiv.org/abs/2305.15402
Autor:
Louboutin, Mathias, Yin, Ziyi, Orozco, Rafael, Grady II, Thomas J., Siahkoohi, Ali, Rizzuti, Gabrio, Witte, Philipp A., Møyner, Olav, Gorman, Gerard J., Herrmann, Felix J.
We present the Seismic Laboratory for Imaging and Modeling/Monitoring (SLIM) open-source software framework for computational geophysics and, more generally, inverse problems involving the wave-equation (e.g., seismic and medical ultrasound), regular
Externí odkaz:
http://arxiv.org/abs/2304.05592
Autor:
Orozco, Rafael, Louboutin, Mathias, Siahkoohi, Ali, Rizzuti, Gabrio, van Leeuwen, Tristan, Herrmann, Felix
We present a novel approach to transcranial ultrasound computed tomography that utilizes normalizing flows to improve the speed of imaging and provide Bayesian uncertainty quantification. Our method combines physics-informed methods and data-driven m
Externí odkaz:
http://arxiv.org/abs/2303.03478