English
Related papers

Related papers: Stochastic Optimization for Collision Selection in…

200 papers

Current measurements of the top quark mass which have achieved a precision of less than 1 GeV involve a theoretical problem that the definition of the measured mass is ambiguous in perturbation theory. As a possible solution to the problem,…

High Energy Physics - Phenomenology · Physics 2015-05-27 Sayaka Kawabata

The matrix element technique provides a superior statistical sensitivity for precision measurements of important parameters at hadron colliders, such as the mass of the top quark or the cross section for the production of Higgs bosons. The…

High Energy Physics - Experiment · Physics 2014-11-20 Oleg Brandt , Gaston Gutierrez , Michael H. L. S. Wang , Zhenyu Ye

Future lepton colliders will have a rich top quark physics program which would add to our understanding of this interesting quark and promise an ultimate precision on the experimental knowledge of top-quark mass. We present possible…

High Energy Physics - Experiment · Physics 2019-08-14 Min Suk Kim

With a high instantaneous luminosity and the large top quark pair production cross section, the Large Hadron Collider (LHC) will be a "top factory" allowing the analysis of millions of top events. After a short description of the top quark…

High Energy Physics - Experiment · Physics 2007-05-23 Florian Beaudette

In this contribution I review the physics of top quarks at a future Linear Collider. Main emphasis is put on the process e+ e- to ttbar close to threshold. Different physical observables, their sensitivity to the basic parameters and their…

High Energy Physics - Phenomenology · Physics 2007-05-23 Thomas Teubner

As the heaviest known fundamental particle, the top quark has taken a central role in the study of fundamental interactions. Production of top quarks in pairs provides an important probe of strong interactions. The top quark mass is a key…

High Energy Physics - Experiment · Physics 2008-11-26 R. Kehoe , M. Narain , A. Kumar

Reaching a high precision of the top quark mass is an important task of the Large Hadron Collider. We perform a feasibility study of measuring the top quark mass through the three-point energy correlator. The expected sensitivity of the top…

High Energy Physics - Phenomenology · Physics 2024-10-14 Meng Xiao , Yulei Ye , Xinyu Zhu

As the heaviest known fundamental particle, the top quark has taken a central role in the study of fundamental interactions. The top quark mass is a fundamental parameter of the standard model which places constraints on the Higgs boson…

High Energy Physics - Phenomenology · Physics 2012-10-03 Michele Gallinaro

Identification of boosted, hadronically-decaying top quarks is a problem of central importance for physics goals of the Large Hadron Collider. We present a theoretical analysis of top quark tagging, establishing zeroth-order, minimal…

High Energy Physics - Phenomenology · Physics 2024-11-04 Andrew J. Larkoski

In recent years, an interest in the study of quantum information has grown within the high-energy particle physics community. The possibility to establish the presence of entanglement at particle colliders, such as the Large Hadron Collider…

High Energy Physics - Phenomenology · Physics 2022-11-09 Luca Mantani

Studies of top quark properties using data collected by the CMS experiment are presented, including direct measurements of properties or extractions using differential cross section measurements. The latest results on top quark mass…

High Energy Physics - Experiment · Physics 2022-11-10 Dennis Schwarz

Compelling arguments suggest the presence of new physics at energy scales that will be probed by frontier energy colliders over the next decade. Arguments for each of the many flavors of new physics that have been proposed seem much less…

High Energy Physics - Experiment · Physics 2014-11-17 Bruce Knuteson

Several methods for the determination of the mass of the top quark with the ATLAS detector at the LHC are presented. All dominant decay channels of the top quark can be explored. The measurements are in most cases dominated by systematic…

Accurate state estimation requires careful consideration of uncertainty surrounding the process and measurement models; these characteristics are usually not well-known and need an experienced designer to select the covariance matrices. An…

Machine Learning · Statistics 2025-07-18 Pardha Sai Krishna Ala , Ameya Salvi , Venkat Krovi , Matthias Schmid

In this work, we develop a numerical technique for the optimal estimation of the new physics (NP) couplings applicable to any collider process without any simplifying assumptions. This approach also provides a way to measure the quality of…

High Energy Physics - Phenomenology · Physics 2025-11-14 Subhaditya Bhattacharya , Sahabub Jahedi , Jayita Lahiri , Jose Wudka

The study of the properties of the top quark is one of the main goals of the Large Hadron Collider (LHC) physics program. The experimental precision expected at the LHC requires the calculation of several top-quark related observables…

High Energy Physics - Phenomenology · Physics 2014-11-20 R. Bonciani , A. Ferroglia

Energy distributions of decay products carry information on the kinematics of the decay in ways that are at the same time straightforward and quite hidden. I will review these properties and discuss their early historical applications as…

High Energy Physics - Phenomenology · Physics 2018-01-17 Roberto Franceschini

The techniques used to study top quarks at hadron colliders are presented. The analyses that discovered the top quark are described, with emphasis on the techniques used to tag b-quark jets in candidate events. The most recent measurements…

High Energy Physics - Experiment · Physics 2007-05-23 Pekka K. Sinervo

We first review the decade-old, broad collider physics research program dubbed energy-peaks. We consider the energy distribution of a massless particle in the lab frame arising from the two-body decay of a heavy particle produced…

High Energy Physics - Phenomenology · Physics 2022-04-07 Kaustubh Agashe , Sagar Airen , Roberto Franceschini , Doojin Kim , Deepak Sathyan

We introduce a statistical physics inspired supervised machine learning algorithm for classification and regression problems. The method is based on the invariances or stability of predicted results when known data is represented as…

Machine Learning · Statistics 2018-11-19 Patrick Chao , Tahereh Mazaheri , Bo Sun , Nicholas B. Weingartner , Zohar Nussinov