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Mainly due to their outstanding performance the position sensitive silicon detectors are widely used in the tracking systems of High Energy Physics experiments such as the ALICE, ATLAS, CMS and LHCb at LHC, the world's largest particle…

Instrumentation and Detectors · Physics 2017-11-16 Timo Peltola

Within the framework of the LHC Injector Upgrade (LIU), the new LINAC4 is currently being commissioned to replace the existing LINAC2 proton source at CERN. After the expected completion at the end of 2016, the LINAC4 will accelerate H-…

Accelerator Physics · Physics 2016-08-24 T. Hofmann , G. E. Boorman , A. Bosco , E. Bravin , S. M. Gibson , K. O. Kruchinin , U. Raich , F. Roncarolo , F. Zocca

The concept of Space-Time Crystals (STC), i.e. translational symmetry breaking in time and space, was recently proposed and experimentally demonstrated for quantum systems. Here, we transfer this concept to magnons and experimentally…

We propose a novel training-free image generation algorithm that precisely controls the occlusion relationships between objects in an image. Existing image generation methods typically rely on prompts to influence occlusion, which often…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Xiaohang Zhan , Dingming Liu

A next-to-leading order QCD calculation for single-inclusive jet photoproduction in unpolarized and longitudinally polarized lepton-hadron collisions is presented which consistently includes ``direct'' and ``resolved'' photon contributions.…

High Energy Physics - Phenomenology · Physics 2008-11-26 B. Jager

Simulating large quantum circuits on hardware with limited qubit counts is often attempted through methods like circuit knitting, which typically incur sample costs that grow exponentially with the number of connections cut. In this work,…

Quantum Physics · Physics 2026-03-11 Junxiang Huang , Yunxin Tang , Xiao Yuan

In this letter we update our predictions for exclusive $J/\Psi$ and $\Upsilon$ photoproduction in proton-proton and nucleus - nucleus collisions at the Run 2 LHC energies obtained with the color dipole formalism and considering the impact…

High Energy Physics - Phenomenology · Physics 2017-03-22 V. P. Goncalves , B. D. Moreira , F. S. Navarra

The latent space of many generative models are rich in unexplored valleys and mountains. The majority of tools used for exploring them are so far limited to Graphical User Interfaces (GUIs). While specialized hardware can be used for this…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Diego Porres

We review recent progress in hadron structure using lattice QCD simulations, with main focus in the evaluation of nucleon quantities such as the axial and tensor charges, and the spin con- tent of the nucleon, using simulations at pion…

High Energy Physics - Lattice · Physics 2015-11-24 Martha Constantinou

We tackle the challenge of learning a distribution over complex, realistic, indoor scenes. In this paper, we introduce Generative Scene Networks (GSN), which learns to decompose scenes into a collection of many local radiance fields that…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Terrance DeVries , Miguel Angel Bautista , Nitish Srivastava , Graham W. Taylor , Joshua M. Susskind

We consider Higgs boson production through gluon--gluon fusion in hadron collisions. We present a numerical program that computes the cross section up to NNLO in QCD perturbation theory. The program allows the user to apply arbitrary cuts…

High Energy Physics - Phenomenology · Physics 2008-06-23 M. Grazzini

The SuperChic Monte Carlo generator provides a common platform for QCD-mediated, photoproduction and photon-induced Central Exclusive Production (CEP), with a fully differential treatment of soft survival effects. In these proceedings we…

High Energy Physics - Phenomenology · Physics 2017-09-04 L. A. Harland-Lang , V. A. Khoze , M. G. Ryskin

Conditional image generation is effective for diverse tasks including training data synthesis for learning-based computer vision. However, despite the recent advances in generative adversarial networks (GANs), it is still a challenging task…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Yutaro Miyauchi , Yusuke Sugano , Yasuyuki Matsushita

The scattering of a positron by a muon in the presence of a linearly polarized laser field is investigated in the first Born approximation. The theoretical results reveals: 1) at large scattering angle, an amount of multiphoton processes…

Atomic Physics · Physics 2018-03-14 Wen-Yuan Du , Bing-Hong Wang , Shu-Min Li

Many phenomena and fundamental predictions, ranging from Hawking radiation to the early evolution of the Universe rely on the interplay between quantum mechanics and gravity or more generally, quantum mechanics in curved spacetimes.…

Quantum Physics · Physics 2022-12-22 Marko Toroš , Marion Cromb , Mauro Paternostro , Daniele Faccio

This paper presents a novel approach for directly generating full events at detector-level from parton-level information, leveraging cutting-edge machine learning techniques. To address the challenge of multiplicity variations between…

High Energy Physics - Phenomenology · Physics 2024-11-01 Guillaume Quétant , John Andrew Raine , Matthew Leigh , Debajyoti Sengupta , Tobias Golling

A wealth of new physics models which are motivated by questions such as the nature of dark matter, the origin of the neutrino masses and the baryon asymmetry in the universe, predict the existence of hidden sectors featuring new particles.…

High Energy Physics - Phenomenology · Physics 2019-05-22 Luca Buonocore , Claudia Frugiuele , Fabio Maltoni , Olivier Mattelaer , Francesco Tramontano

We discuss a concept of a lower-energy version of the Large Hadron-electron Collider (LHeC), delivering electron-hadron collisions concurrently to the hadron-hadron collisions at the high-luminosity LHC at CERN. Assuming the use of a 20 GeV…

High Energy Physics - Experiment · Physics 2026-05-05 Kevin David J André , Laurent Forthomme , Bernhard Holzer , Krzysztof Piotrzkowski

To help agents reason about scenes in terms of their building blocks, we wish to extract the compositional structure of any given scene (in particular, the configuration and characteristics of objects comprising the scene). This problem is…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Rishabh Kabra , Daniel Zoran , Goker Erdogan , Loic Matthey , Antonia Creswell , Matthew Botvinick , Alexander Lerchner , Christopher P. Burgess

This paper combines observational datasets and cosmological simulations to generate realistic numerical replicas of the nearby Universe. These latter are excellent laboratories for studies of the non-linear process of structure formation in…