Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Rokita, Przemysław"'
Simulating detector responses is a crucial part of understanding the inner-workings of particle collisions in the Large Hadron Collider at CERN. The current reliance on statistical Monte-Carlo simulations strains CERN's computational grid, underscori
Externí odkaz:
http://arxiv.org/abs/2406.03263
In High Energy Physics simulations play a crucial role in unraveling the complexities of particle collision experiments within CERN's Large Hadron Collider. Machine learning simulation methods have garnered attention as promising alternatives to trad
Externí odkaz:
http://arxiv.org/abs/2406.03233
The research of innovative methods aimed at reducing costs and shortening the time needed for simulation, going beyond conventional approaches based on Monte Carlo methods, has been sparked by the development of collision simulations at the Large Had
Externí odkaz:
http://arxiv.org/abs/2405.14049
Currently, over half of the computing power at CERN GRID is used to run High Energy Physics simulations. The recent updates at the Large Hadron Collider (LHC) create the need for developing more efficient simulation methods. In particular, there exis
Externí odkaz:
http://arxiv.org/abs/2306.13606
Autor:
Dubiński, Jan, Kowalczuk, Antoni, Pawlak, Stanisław, Rokita, Przemysław, Trzciński, Tomasz, Morawiecki, Paweł
Generative diffusion models, including Stable Diffusion and Midjourney, can generate visually appealing, diverse, and high-resolution images for various applications. These models are trained on billions of internet-sourced images, raising significan
Externí odkaz:
http://arxiv.org/abs/2306.12983
Autor:
Nowakowski, Piotr, Rokita, Przemysław
Vector fields are one of the fundamental parts of mathematics which are key for modelling many physics phenomena such as electromagnetic fields or fluid and gas flows. Fields found in nature often exhibit complex structures which can be difficult to
Externí odkaz:
http://arxiv.org/abs/2212.11813
Publikováno v:
Computer Physics Communications, Volume 294, 2024, 108912, ISSN 0010-4655
The ALICE Collaboration at CERN developed a 3D visualisation tool capable of displaying a representation of collected collision data (particle trajectories, clusters and calorimeter towers) called the Event Display. The Event Display is constantly ru
Externí odkaz:
http://arxiv.org/abs/2212.03627
Autor:
Kowaleczko, Pawel, Tarasiewicz, Tomasz, Ziaja, Maciej, Kostrzewa, Daniel, Nalepa, Jakub, Rokita, Przemyslaw, Kawulok, Michal
Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. This is inherent to remote sensing, including Sentinel-2 satellite imag
Externí odkaz:
http://arxiv.org/abs/2210.02745
Generative Adversarial Networks (GANs) are powerful models able to synthesize data samples closely resembling the distribution of real data, yet the diversity of those generated samples is limited due to the so-called mode collapse phenomenon observe
Externí odkaz:
http://arxiv.org/abs/2207.01561
Publikováno v:
Comput.Phys.Commun. 271 (2022)
The ALICE detector at CERN uses properties of the magnetic field acting on charged particles as part of the particle tracking and identification system -- via measuring the strength of bending of charged particles in a magnetic field supplied by elec
Externí odkaz:
http://arxiv.org/abs/2110.11760