Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Kong, Kyoungchul"'
Top quark polarization provides an important tool for studying its production mechanisms, spin correlations, top quark properties, and new physics searches. Unlike lighter quarks, the top quark's polarization remains intact until its decay, enabling
Externí odkaz:
http://arxiv.org/abs/2407.07147
Precision studies for top quark physics are a cornerstone of the Large Hadron Collider program. Polarization, probed through decay kinematics, provides a unique tool to scrutinize the top quark across its various production modes and to explore poten
Externí odkaz:
http://arxiv.org/abs/2407.01663
Autor:
Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 2024, 13(5), 323
We introduce a hybrid quantum-classical vision transformer architecture, notable for its integration of variational quantum circuits within both the attention mechanism and the multi-layer perceptrons. The research addresses the critical challenge of
Externí odkaz:
http://arxiv.org/abs/2405.10284
The stransverse mass variable $M_{T2}$ was originally proposed for the study of hadron collider events in which $N=2$ parent particles are produced and then decay semi-invisibly. Here we consider the generalization to the case of $N\ge 3$ semi-invisi
Externí odkaz:
http://arxiv.org/abs/2402.04312
Autor:
Unlu, Eyup B., Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia
Publikováno v:
Axioms v. 13, no 3, (2024) 187
Models based on vision transformer architectures are considered state-of-the-art when it comes to image classification tasks. However, they require extensive computational resources both for training and deployment. The problem is exacerbated as the
Externí odkaz:
http://arxiv.org/abs/2402.00776
We explore extensive N-body simulations with two-component cold dark matter candidates. We delve into the temperature evolution, power spectrum, density perturbation, and maximum circular velocity functions. We find that the substantial mass differen
Externí odkaz:
http://arxiv.org/abs/2312.07660
Autor:
Dong, Zhongtian, Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Forestano, Roy T., Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 2024, 13 (3), 188
This paper presents a comprehensive comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNN) and Quantum Neural Networks (QNN), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENN) and Deep N
Externí odkaz:
http://arxiv.org/abs/2311.18744
Autor:
Forestano, Roy T., Cara, Marçal Comajoan, Dahale, Gopal Ramesh, Dong, Zhongtian, Gleyzer, Sergei, Justice, Daniel, Kong, Kyoungchul, Magorsch, Tom, Matchev, Konstantin T., Matcheva, Katia, Unlu, Eyup B.
Publikováno v:
Axioms 13 (2024) 160
Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data from such collision events can naturally be represented with graph structu
Externí odkaz:
http://arxiv.org/abs/2311.18672
Autor:
Cassidy, Morgan E., Dong, Zhongtian, Kong, Kyoungchul, Lewis, Ian M., Zhang, Yanzhe, Zheng, Ya-Juan
We study the top-Higgs coupling with a CP violating phase $\xi$ at a future multi-TeV muon collider. We focus on processes that are directly sensitive to the top quark Yukawa coupling: $t\bar{t}h$, $tbh\mu\nu$, and $t\bar{t}h\nu\bar{\nu}$ with $h\rig
Externí odkaz:
http://arxiv.org/abs/2311.07645
Autor:
Shyamsundar, Prasanth, Scott, Jacob L., Mrenna, Stephen, Matchev, Konstantin T., Kong, Kyoungchul
Monte Carlo (MC) integration is an important calculational technique in the physical sciences. Practical considerations require that the calculations are performed as accurately as possible for a given set of computational resources. To improve the a
Externí odkaz:
http://arxiv.org/abs/2309.12369