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The study of the CKM matrix elements with increasing precision requires a reliable evaluation of hadronic matrix elements of axial and vector currents which can be done with Lattice QCD. The tiniest entry, |V_{ub}|, can be estimated…

High Energy Physics - Phenomenology · Physics 2013-07-22 Piotr Korcyl

At future electron-positron colliders, one of the largest irreducible backgrounds to top searches in the channel `4 jets + lepton + missing energy' comes from QCD events of order $\alpha_s^2$. We compute here such processes exactly at the…

High Energy Physics - Phenomenology · Physics 2011-09-13 Stefano Moretti

The extraction of hadron matrix elements in lattice QCD using the standard two- and three-point correlator functions demands careful attention to systematic uncertainties. One of the most commonly studied sources of systematic error is…

Extracting scientific results from high-energy collider data involves the comparison of data collected from the experiments with synthetic data produced from computationally-intensive simulations. Comparisons of experimental data and…

High Energy Physics - Experiment · Physics 2022-11-23 Matthew Feickert , Mihir Katare , Mark Neubauer , Avik Roy

Machine learning has the potential to aid our understanding of phase structures in lattice quantum field theories through the statistical analysis of Monte Carlo samples. Available algorithms, in particular those based on deep learning,…

High Energy Physics - Lattice · Physics 2020-05-27 Stefan Bluecher , Lukas Kades , Jan M. Pawlowski , Nils Strodthoff , Julian M. Urban

This paper presents an extension of the matrix element method to next-to-leading order in perturbation theory. To accomplish this we have developed a method to calculate next-to-leading order weights on an event-by-event basis. This allows…

High Energy Physics - Phenomenology · Physics 2015-06-04 John M. Campbell , Walter T. Giele , Ciaran Williams

We apply the matrix element method (MEM) to the search for non-resonant Higgs boson pair ($\textrm{HH}$) production in the channel $\textrm{HH} \to \textrm{b}\bar{\textrm{b}}\textrm{W}\textrm{W}^{*}$ at the LHC and study the separation…

High Energy Physics - Phenomenology · Physics 2022-03-02 Karl Ehatäht , Christian Veelken

In this article, we present a method to calculate a posteriori event weights at next-to-leading-order (NLO) QCD accuracy for a given jet event defined by the (anti-)$k_t$ algorithm relying on the conventional $2\to 1$ recombination. This is…

High Energy Physics - Phenomenology · Physics 2019-10-17 Manfred Kraus , Till Martini , Peter Uwer

Generative networks are an exciting tool for fast LHC event fixed number of particles. Autoregressive transformers allow us to generate events containing variable numbers of particles, very much in line with the physics of QCD jet…

High Energy Physics - Phenomenology · Physics 2026-01-13 Anja Butter , François Charton , Javier Mariño Villadamigo , Ayodele Ore , Tilman Plehn , Jonas Spinner

LHC analyses directly comparing data and simulated events bear the danger of using first-principle predictions only as a black-box part of event simulation. We show how simulations, for instance, of detector effects can instead be inverted…

High Energy Physics - Phenomenology · Physics 2022-12-06 Marco Bellagente , Anja Butter , Gregor Kasieczka , Tilman Plehn , Ramon Winterhalder

The extraction of hadron form factors in lattice QCD using the standard two- and three-point correlator functions has its limitations. One of the most commonly studied sources of systematic error is excited state contamination, which occurs…

Modern causal decision-making increasingly demands individualized treatment-effect estimation in networks where interventions are high-dimensional, combinatorial vectors. While network interference, effect heterogeneity, and…

Methodology · Statistics 2026-02-24 Yunping Lu , Haoang Chi , Qirui Hu , Zhiheng Zhang

Maximizing the Kullback-Leibler divergence (KLD) is a fundamental problem in waveform design for active sensing and hypothesis testing, as it directly relates to the error exponent of detection probability. However, the associated…

Signal Processing · Electrical Eng. & Systems 2026-01-05 Jeongwoo Park , Seongkyu Jung , Kaiming Shen , Jeonghun Park

We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the "history tree" of how the measured data point might have evolved out of any simpler…

High Energy Physics - Phenomenology · Physics 2022-10-12 Stefan Prestel , Michael Spannowsky

The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by conventional classification algorithms. Machine learning (ML)…

We deploy an advanced Machine Learning (ML) environment, leveraging a multi-scale cross-attention encoder for event classification, towards the identification of the $gg\to H\to hh\to b\bar b b\bar b$ process at the High Luminosity Large…

High Energy Physics - Phenomenology · Physics 2024-02-16 A. Hammad , S. Moretti , M. Nojiri

We suggest a simple highly predictive ansatz for charged lepton and light neutrino mass matrices, based on the assumption of universality of Yukawa couplings. Using as input the charged lepton masses and light neutrino masses, the six…

High Energy Physics - Phenomenology · Physics 2009-11-05 G. C. Branco , J. I. Silva-Marcos

In this article we study a Standard Model extension modifying the top-quark Yukawa coupling to the Higgs boson by allowing a mixture of CP-odd and -even couplings. Single top-quark production in association with an additional Higgs boson…

High Energy Physics - Phenomenology · Physics 2019-08-27 Manfred Kraus , Till Martini , Sascha Peitzsch , Peter Uwer

The properties of decays that take place during jet formation cannot be easily deduced from the final distribution of particles in a detector. In this work, we first simulate a system of particles with well defined masses, decay channels,…

Computational Physics · Physics 2022-01-19 Marko Jercic , Ivan Jercic , Nikola Poljak

The implementation of convolutional neural networks in programmable logic, for applications in fast online event selection at hadron colliders is studied. In particular, an approach based on full event images for classification is studied,…

Instrumentation and Detectors · Physics 2025-03-13 James Brooke , Emyr Clement , Maciej Glowacki , Sudarshan Paramesvaran , Jeronimo Segal