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Giovanni Stagnitto (Istituto Nazionale di Fisica Nucleare)29/07/2024, 09:00
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Matt LeBlanc (CERN)29/07/2024, 09:45
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29/07/2024, 10:50
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Dilia Maria Portillo Quintero29/07/2024, 11:05
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Giulia Zanderighi29/07/2024, 11:50
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Magda Diamantopoulou29/07/2024, 14:00
Experimental uncertainties related to hadronic object reconstruction can limit the precision of physics analyses at the LHC, and so improvements in performance have the potential to broadly increase the impact of results. Recent refinements to reconstruction and calibration procedures for ATLAS jets and MET result in reduced uncertainties, improved pileup stability and other performance gains....
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Nurfikri Norjoharuddeen29/07/2024, 14:20
We present new developments in jet reconstruction and calibration for LHC Run3. A new regression approach for jet calibration is explored and pileup mitigation techniques are developed for joint reconstruction of hadronic taus and jets.
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Robert Les29/07/2024, 14:40
Hadronic object reconstruction is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented.
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Donato Troiano (Istituto Nazionale di Fisica Nucleare)29/07/2024, 15:00
A fundamental aspect of CMS researches concerns the identification and characterisation of jets originating from quarks and gluons produced in high-energy proton-proton collisions. Electroweak scale resonances (Z/W bosons), Higgs bosons and top quarks are often produced with high Lorentz-boosts, where their products become highly collimated large and massive jets, usually reconstructed as AK8...
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NEELAM KUMARI (DESY Hamburg)29/07/2024, 15:20
Flavour-tagging is a critical component of the ATLAS experiment physics programme. Existing flavour tagging algorithms rely on several low-level taggers, which are a combination of physically informed algorithms and machine learning models. A novel approach presented here instead uses a single machine learning model based on reconstructed tracks, avoiding the need for low-level taggers based...
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Simon Rothman (Massachusetts Inst. of Technology (US))29/07/2024, 15:40
New searches with exotic jet substructure techniques from CMS are presented. Signatures with challenging reconstruction techniques include displaced jets, closely merge photon-pairs and soft unclustered energy patterns. New reconstruction techniques making use of machine learning and physics results are presented.
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Cecilia Tosciri29/07/2024, 16:20
The ATLAS Level-1 Calorimeter (L1Calo) trigger is a custom-built hardware system that identifies events containing calorimeter-based physics objects, including electrons, photons, taus, jets, and missing transverse energy. The L1Calo system has been upgraded for Run 3 to respond to the challenging environment characterized by increasingly high luminosity and pileup conditions. As part of this...
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Chen Zhou29/07/2024, 16:40
Reconstructing heavy particles from their observed decay products becomes complex when decay chains with many intermediate and final state particles are involved and requires solving ambiguities. Modern machine learning techniques offer new solutions to this task. We discuss new applications of machine-learning techniques for event-level particle reconstruction in CMS.
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Vinicius Mikuni (LBNL)29/07/2024, 17:00
Machine learning has become an essential tool in jet physics. Due to their complex, high-dimensional nature, jets can be explored holistically by neural networks in ways that are not possible manually. However, innovations in all areas of jet physics are proceeding in parallel. We show that large machine learning models trained for a jet classification task can improve the accuracy,...
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Humberto Reyes-Gonzalez (RWTH Aachen)29/07/2024, 17:20
Multi-head attention based Transformers have taken the world by storm, given their outstanding capacity of learning accurate representations of diverse types of data. Famous examples include Large Language Models, such as ChatGPT, and Vision Transformers, like BEiT, for image generation. In this talk, we take these major technological advancements to the realm of jet physics. By creating a...
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Yoran Yeh30/07/2024, 09:00
The production of W/Z bosons in association with light or heavy flavor jets or hadrons at the LHC provides an important test of perturbative QCD. In this talk, measurements by the ATLAS experiment probing the charm and beauty content of the proton are presented. Inclusive and differential cross-sections of Z boson production with at least one c-jet, or one or two b-jets are measured for events...
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Dr Davide Zuliani30/07/2024, 09:20
LHCb is a spectrometer targeting the forward region of proton-proton collisions, focusing on a pseudo-rapidity range between 2 and 5. Due to its optimal reconstruction performance and its clean environment, LHCb is an excellent experiment to study jets and their substructure. In this contribution, the latest measurements on jets physics at LHCb are presented, with a focus on the latest...
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Kaustuv Datta30/07/2024, 09:40
Various measurements related to the study of jet substructure in proton collisions at 13 TeV with the CMS experiment are presented. Jet substructure measurements sensitive to the strong coupling are presented, namely the primary Lund jet plane and the energy-energy correlated. The measurements are motivated by their sensitivity to the strong coupling and present interesting experimental...
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Jingjing Pan30/07/2024, 10:00
Jets, the collimated streams of hadrons resulting from the fragmentation of highly energetic quarks and gluons, are some of the most commonly observed radiation patterns in hadron collider experiments. The distribution of quantum chromodynamic (QCD) radiation within jets is determined by complex processes, the production of showers of quarks and gluons and their subsequent recombination into...
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Cristian Baldenegro Barrera (Sapienza Università di Roma (IT))30/07/2024, 10:20
The Lund jet plane (LJP) is an observable introduced to better understand the radiation pattern of jets in terms of the jets-within-the-jets found with iterative Cambridge/Aachen declustering. The LJP is a two-dimensional representation of the phase space of $1\to 2$ branchings, where the logarithm of the relative transverse momentum ($k_t$) and the logarithm of the rapidity-azimuth distance...
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Alessandro Giachino30/07/2024, 11:00
Particle physics has entered an era where high-precision calculations are required to compare theoretical predictions with experimental data. In this talk, I will describe a new method to compute the virtual contributions in $k_T$-factorization [1,2], called the auxiliary parton method. This method, which was already successfully applied at LO [3] to describe the forward-forward dijet...
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Jack Helliwell (University of Oxford)30/07/2024, 11:20
Parton showers are immensely flexible tools that are currently undergoing significant development in terms of their logarithmic accuracy, first to next-to-leading logarithmic (NLL) and more recently towards next-to-NLL (NNLL) accuracy. These improvements should make them significantly more powerful tools for precision collider physics, including jet substructure studies. I will present recent...
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Samuel Alipour-fard (MIT, Center for Theoretical Physics)30/07/2024, 11:40
In this talk, we introduce energy-weighted observable correlations (EWOCs): generalizations of the energy-energy correlator (EEC) which use subjets to characterize a wide variety of correlations between collective degrees of freedom in high-energy particle collisions. EWOCs use subjets to produce a manifestly infrared and collinear safe extension of the EEC, which probes energy-weighted...
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Chang Wu (Technion)30/07/2024, 12:00
In this talk, we will present a theoretical framework for studying heavy flavor jet substructure for dense QGP medium based on the factorised picture between vacuum-like and medium-induced radiations, based on arXiv:2312.15560 and ongoing works. We studied the $z_g$ distribution for heavy flavor, i.e. bottom and charm quark, jets propagating through the dense QCD medium. However, unlike the...
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Michele Selvaggi (CERN)30/07/2024, 14:00
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Leonardo Bonino (University of Zurich)30/07/2024, 14:40
Fragmentation of heavy quarks into heavy-flavoured hadrons receives both perturbative and non-perturbative contributions. We consider perturbative QCD corrections to heavy quark production in $e^+e^-$ collisions to next-to-next-to-leading order accuracy in QCD with next-to-next-to-leading-logarithmic resummation of quasi-collinear and soft emissions.
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We study multiple matching schemes, and... -
Dr Francesco Giovanni Celiberto (UAH Madrid)30/07/2024, 15:00
We report progress on the Heavy-Flavor Non-Relativistic Evolution (HF-NRevo) setup, a novel methodology to address the quarkonium formation within the fragmentation approximation. Our analysis addresses the moderate to large transverse-momentum regime, where the production mechanism based on the leading-twist collinear fragmentation from a single parton is expected to prevail over the...
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Hugo Garcia Tecocoatzi (Istituto Nazionale di Fisica Nucleare)30/07/2024, 15:20
We present a study on single heavy baryons' spectra and strong decay widths. The masses of single heavy baryons up to the D-wave are calculated within a constituent quark model, employing the three-quark and quark-diquark schemes. In this contribution, we discuss the possible assignment of the recently discovered $\Omega_c^0(3327)$, $\Lambda_b(6146)^0$, $\Lambda_b(6152)^0$, $\Xi_b(6327)^{0}$,...
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Ilia Belov (Istituto Nazionale di Fisica Nucleare)30/07/2024, 15:40
We present the first theoretical calculation of nonfactorizable charm-quark loop contributions to the $B_s\to \gamma\, l^+l^-$ amplitude. This contribution involves the $B$-meson three-particle Bethe-Salpeter amplitude, $\langle 0|\bar s(y)G_{\mu\nu}(x)b(0)|\bar B_s(p)\rangle$, for which we take into account constraints from analyticity and continuity. We calculate the relevant form factors,...
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Komal Tauqeer30/07/2024, 16:20Poster
Identifying particles that form jets in the CMS detector is a crucial part of many physics analyses. It has generally proven quite difficult to infer the charge of the originating particles. In this poster, we demonstrate a novel method to discriminate between Lorentz-boosted W+, W-, and Z boson jets. In order to do so, we have designed a specialized Dynamic Graph Convolutional Neural Network...
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Claudio Muselli (Rulex Innovation Labs)30/07/2024, 16:20Poster
Most research in high-energy physics nowadays begins with data. In recent years, effectively managing an increasing volume of data has become crucial for most publications. This holds true not only for high-energy physics but also for a wide range of activities, including healthcare, economics, computing, and business.
Traditionally, researchers analyze data by writing extensive code in...
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Andrius Vaitkus (Department of Physics and Astronomy, University College London)30/07/2024, 16:20Poster
The precise measurement of the jet energy and mass scales are a crucial input to many physics measurements that use the proton-proton collision data recorded by the ATLAS detector at the LHC. The energy determination of quark jets, which originate from bottom quarks, is challenging as, for example, these types of jets can contain leptonic heavy-flavour decays into a charged lepton and an...
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Steffi Bower (CMS)30/07/2024, 16:20Poster
In our search using CMS data for low mass, boosted pseudoscalar (Ma<15GeV) decays to b-jet pairs and τ pairs predicted by the Two Higgs Doublet Model + Singlet (2HDM+S), we find that the b-jets tend to merge when run through the anti-kT jet reconstruction algorithm with R parameter of 0.4 (AK4). Standard CMS b taggers are not optimized for this signal. We look to discriminate this topology by...
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Dr Hannah Bossi30/07/2024, 16:20
Recently, the projected N-point energy correlators (ENCs) have seen a resurgence of interest for hadronic collisions at RHIC and the LHC to probe vacuum QCD. In this talk, we will show that the full three-point energy-energy-energy correlation (EEEC) function can be useful for studying the shape of energy flow within jets. In vacuum, it has been shown that these correlators elucidate the...
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Lata Panwar (Paris LPNHE)30/07/2024, 16:20Poster
We present a generic approach that deals with jet constituents to derive the jet energy scale (JES) uncertainty. It uses single-particle E/p response measurements obtained from 13 TeV Run 2 LHC data from proton-proton collisions. The E/p method offers a higher level of precision compared to the traditional pT-balance method, but, is in good agreement with it. Both methods are combined to...
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Daniele Atzori (Università degli Studi di Milano)30/07/2024, 16:20Poster
This research discusses topics in the field of Quantum CromoDynamics and high energy physics. We consider an electron-positron scattering process and introduce a so-called superinclusive observable, suggested to us by Giorgio Parisi. This observable allows one to study the energy flow of an event due to QCD final-state radiation. The aim of the research is to give a theoretical prediction of...
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Kevin Thomas Greif (University of California, Irvine)30/07/2024, 16:20Poster
The identification of top quark decays, known as top tagging, is a crucial component in many measurements and searches at the Large Hadron Collider (LHC). Recently machine learning techniques have greatly improved the performance of top tagging algorithms. This poster presents the performance of several machine learning based jet tagging methods. In particular the performance of a Lund jet...
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Sebastian Rutherford Colmenares (Cavendish Laboratory, University of Cambridge)30/07/2024, 16:20Poster
This poster presents the reconstruction of missing transverse momentum (pTmiss) in proton-proton collisions, in Run-2 and Run-3 data-taking at the ATLAS experiment. This is a challenging task involving many detector inputs, combining fully calibrated electrons, muons, photons, hadronically decaying τ-leptons, hadronic jets, and soft activity from remaining tracks. Several pTmiss 'working...
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Gabriele Milella (DESY)30/07/2024, 16:20Poster
Identifying boosted hadronic top quarks is a major challenge in the CMS physics program, both in Standard Model measurements and searches for new phenomena. Many excellent tools are available to identify wide-angle jets with top quark flavor. However, the intermediate regime between resolved and highly boosted jets is poorly covered. In recent years, CMS has introduced HOTVR, a variable...
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Vilius Cepaitis (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve)30/07/2024, 16:20Poster
Pileup, or the presence of multiple independent proton-proton collisions within the same bunch-crossing, has been critical to the success of the LHC, allowing for the production of enormous proton-proton collision datasets. However, the typical LHC physics analysis only considers a single proton-proton collision in each bunch crossing; the remaining pileup collisions are viewed as an...
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Lida Kalipoliti30/07/2024, 16:40
The substructure of bottom quark jets is of substantial interest both in terms of understanding radiation emitted from heavy quarks, where mass effects are important, as well as in the study of decays of massive (known and sought) particles into heavy quarks. Unfortunately, the decays of b hadrons, which are typically cascading, obscure the parton level branching, by filling the radiative dead...
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Simone Caletti (ETH Zurich)30/07/2024, 17:00
In this talk, we discuss hadronic jets that are tagged as heavy-flavoured, i.e. they contain either beauty or charm. In particular, we consider heavy-flavour jets that have been groomed with the Soft Drop algorithm. In order to achieve a deeper understanding of these objects, we apply resummed perturbation theory to jets initiated by a massive quark and we
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perform analytic calculations for... -
Andrea Ghira (Università di Genova and Istituto Nazionale di Fisica Nucleare (INFN) sezione di Genova)30/07/2024, 17:20
In this talk I will present our research activity on jets substructure with heavy flavour. Our primary goal is to obtain a more profound understanding of these objects. To this end, we employ resumed perturbation theory tailored specifically for jets initiated by heavy quarks. Furthermore, we will present analytical calculations targeting various observables that characterise jets, including...
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Evan Craft (Yale University)30/07/2024, 17:40
Understanding the behaviour of heavy quarks is important for painting a coherent picture of QCD, both formally and phenomenologically, and the upcoming runs at the LHC will provide unprecedented statistics for precision measurements related to heavy flavor. A natural object for initiating these studies are Energy Correlators, which measure correlations of energy flow at collider experiments....
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Jelena Mijuskovic (Istituto Nazionale di Fisica Nucleare)30/07/2024, 18:00
The development of iterative declustering techniques has brought the ability to reconstruct the jet tree and access the building blocks of the QCD parton shower. The iterative declustering of an angular-ordered jet allows to access the kinematic properties and mass effects at the level of each individual emission. In order to expose mass effects in heavy flavor-tagged jets, we study the...
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Fabrizio Parodi (Istituto Nazionale di Fisica Nucleare)31/07/2024, 09:00
Several physics scenarios beyond the Standard Model predict the existence of new particles that can subsequently decay into a pair of Higgs bosons. These include pairs of SM-like Higgs bosons (HH) as well as asymmetric decays into two scalars of different masses (SH). For sufficiently high masses, the scalar S and the Higgs boson are Lorentz-boosted, thus the decay products are produced...
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Suman Chatterjee (Austrian Academy of Sciences (AT))31/07/2024, 09:20
Search channels including at least one Higgs boson plus another particle have formed an important part of the program of new physics searches. In this talk, the status of these searches by the CMS Collaboration is reviewed. Searches are discussed for resonances decaying to two Higgs bosons, a Higgs and a vector boson, or a Higgs boson and another new resonance, with proton-proton collision...
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Umar Sohail Qureshi (Vanderbilt University)31/07/2024, 09:40
We present a phenomenology study probing the Supersymmetric Standard Model (SSM) at the Large Hadron Collider for a previously unexplored region of the parameter space.
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In particular, we consider proton-proton collisions at $\sqrt{s}=13$ and $\sqrt{s}=14$ TeV and investigate the production of GeV-scale first and second-generation neutralinos $\widetilde{\chi}_{1}^{0}$ and... -
Alberto Orso Maria Iorio (Istituto Nazionale di Fisica Nucleare)31/07/2024, 10:00
We present results from recent searches for resonances with enhanced couplings to top quarks or W bosons, collected with the CMS detector at a center-of-mass energy of 13 TeV. The analyses presented rely on state-of-the-art boosted-object identification techniques to reconstruct hadronic and leptonic top quark and W boson decays, targeting various signatures from single and pair production of...
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Benjamin Michael Wynne31/07/2024, 10:20
Various searches for new resonances using unsupervised machine learning for anomaly detection are presented. These searches look at two-body invariant masses including leptons, at a heavy resonance Y decaying into a Standard Model Higgs boson H and a new particle X in a fully hadronic final state, or at the masses of two jets.
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Roberto Seidita (Istituto Nazionale di Fisica Nucleare)31/07/2024, 11:00
A model-agnostic search for new physics in the dijet final state with the CMS experiment is presented. Other than the requirement of a narrow dijet resonance with a mass in the range of 1800-6000 GeV, minimal additional assumptions are placed on the signal hypothesis. Search regions are obtained by utilizing multivariate machine learning methods to select jets with anomalous substructure. A...
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davide melini (Technion)31/07/2024, 11:20
Many new-physics signatures at the LHC produce highly boosted particles, leading to close-by objects in the detector and necessitating jet substructure techniques to disentangle the hadronic decay products. This talk will illustrate the use of these techniques in recent ATLAS searches for heavy W' and Z' resonances in top-bottom and di-top final states, as well as in searches for vector-like...
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Florian Eble (ETH Zurich)31/07/2024, 11:40
The field of anomaly detection (AD) has been steadily gaining traction in high energy physics as a powerful tool in the search for physics beyond the standard model (BSM), reducing the reliance on exact modelling of specific signal hypotheses. Arguably the most commonly used architecture is some flavor of autoencoder (AE), a network trained to compress examples to a latent space and decompress...
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Rafał Masełek (LPSC (Grenoble))31/07/2024, 12:00
Approximately one-fourth of the energy density of the known Universe is attributed to Dark Matter (DM), the nature of which remains enigmatic. If DM is made of particles, producing and studying them at the Large Hadron Collider may be possible. A promising method to achieve it is to consider a monojet channel, in which at least one hard jet recoils against a missing transverse momentum, and...
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Luigi Favaro (ITP - University of Heidelberg)31/07/2024, 12:20
We present DarkCLR, a novel framework for detecting semi-visible jets at the LHC. DarkCLR uses a self-supervised contrastive-learning approach to create observables that are approximately invariant under relevant transformations. We use background-enhanced data to create a sensitive representation and evaluate the representations using a normalized autoencoder as a density estimator. Our...
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Lorenzo Rosasco (Università di Genova)31/07/2024, 14:00
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Congqiao Li (Peking University)31/07/2024, 14:40
The search for heavy resonances beyond the Standard Model (BSM) is a key objective at the LHC. While the recent use of advanced deep neural networks for boosted-jet tagging significantly enhances the sensitivity of dedicated searches, it is limited to specific final states, leaving vast potential BSM phase space underexplored. In this talk, we introduce a novel experimental method,...
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MIHOKO NOJIRI (KEK)31/07/2024, 15:00
Attention-based transformer models have become increasingly prevalent in collider analysis, offering enhanced performance for tasks such as jet tagging. However, they are computationally intensive and require substantial data for training. In this paper, we introduce a new jet classification network using an MLP mixer, where two subsequent MLP operations serve to transform particle and feature...
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Dr Marco Letizia (Università di Genova and INFN)31/07/2024, 15:20
The likelihood-ratio test can be used to perform a goodness-of-fit test between a reference model and observations if the alternative hypothesis is selected from data by exploring a rich parametrised family of functions. The New Physics Learning Machine (NPLM) methodology has been developed as a concrete realisation of this idea, to perform model-independent searches at collider experiments....
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Rikab Gambhir (Massachusetts Institute of Technology)31/07/2024, 15:40
The Energy Mover’s Distance (EMD) has seen use in collider physics as a metric between events and as a geometric method of defining infrared and collinear safe observables. Recently, the spectral Energy Mover’s Distance (SEMD) has been proposed as a more analytically tractable alternative to the EMD. In this work, we obtain a closed-form expression for the Riemannian-like p = 2 SEMD metric...
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Andre Hoang (University of Vienna)31/07/2024, 16:20
To control the scheme of the Monte-Carlo (MC) top quark mass parameter several ingredients are mandatory, concerning the knowledge of the IR dynamics of the top mass sensitive observable, the MC parton shower and the MC hadronization evolution. I discuss these ingredients and their interplay for the simple case of 2-jettiness for boosted top production in electron-positron annihilation, where...
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Naseem Bouchhar (IFIC (UV/CSIC) Valencia)31/07/2024, 16:40
In this contributions we will present new results that relate the top quark mass parameter in Monte Carlo generators with a field-theoretical mass scheme. In our study, Pythia8 predictions for the groomed top jet mass distribution in pp -> ttbar production are compared with first-principle calculations at NNLL accuracy. The formal accuracy is improved (from NLL to NNLL) with respect to...
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Aditya Pathak (DESY)31/07/2024, 17:00
Precision measurements of the top quark mass at hadron colliders have been notoriously difficult. Energy-energy correlators (EECs) provide clean access to angular correlations in the hadronic energy flux, but their application to the precision mass measurements is less direct since they measure a dimensionless angular scale.
Inspired by the use of standard candles in cosmology, I will show...
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Kunlin Ran31/07/2024, 17:20
Detailed measurements of Higgs boson properties can be performed using highly boosted objects, where the detector signatures of two or more decay products overlap. The talk will present several ATLAS analyses targeting these topologies, using collision data collected during Run 2 of the LHC. The talk will present studies of the properties of Higgs boson production at high transverse momentum,...
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mario campanelli (UCL)31/07/2024, 17:40
The large production cross section of top-quark pairs at the LHC allows for detailed studies of the substructure of jets arising from light quarks, b-quarks, and gluons. In this talk, recent measurements of the jet substructure in the decay products of top quarks performed by the ATLAS experiment are presented, using the reconstructed charged particles in the decay of W bosons and the...
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Sofia Palacios Schweitzer (ITP, Heidelberg University)31/07/2024, 18:00
Unfolded data can be used to measure the top mass, but also to search for unexpected kinematic correlations in top decay events. We show how generative unfolding can be used for both tasks and how the results benefit from the unbinned, high-dimensional unfolding. Our method includes an unbiasing step with respect to the top mass used during training data and promises significant advantages...
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Diptanil Roy (Rutgers University)01/08/2024, 09:00
In the past decade, there have been significant developments in jet measurements. Initially, the emphasis was primarily on measuring the jet production cross-sections in vacuum and their modification in the Quark-Gluon Plasma (QGP) medium. The current investigations have shifted towards probing jet substructure, aiming to understand the intricate interplay of the perturbative and the...
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Martin Rybar (Charles University)01/08/2024, 09:20
Measuring jet substructure in heavy-ion collisions provides an opportunity to study detailed aspects of the dynamics of jet quenching in the hot and dense QCD medium created in these collisions. This talk presents a set of complementary ATLAS measurements of jet suppression and substructure performed using various jet definitions, constituents, and grooming techniques in Pb+Pb collisions....
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Molly Park (Massachusetts Inst. of Technology (US))01/08/2024, 09:40
search for medium-induced jet transverse momentum broadening is performed with isolated photon-tagged jet events in proton-proton (pp) and lead-lead (PbPb) collisions at nucleon-nucleon center-of-mass energy $5.02\TeV$. The difference between jet axes as determined via energy-weight and winner-take-all clustering schemes, also known as the decorrelation of jet axes and denoted $\Delta j$, is...
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Bharadwaj Harikrishnan (LLR)01/08/2024, 10:00
This talk presents the first measurements of the groomed jet radius $R_{\mathrm{g}}$ and the jet girth $g$ in events with an isolated photon recoiling against a jet in lead-lead (PbPb) and proton-proton (pp) collisions at the LHC at a nucleon-nucleon center-of-mass energy of 5.02 TeV. The observables $R_{\mathrm{g}}$ and $g$ provide a quantitative measure of how narrow or broad a jet is. The...
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João Silva (LIP-Lisbon / ULisboa - IST)01/08/2024, 10:20
The modifications imprinted on jets due to their interaction with QGP are assessed by comparing samples of jets produced in AA collisions and pp collisions. The standard procedure for doing so, however, ignores the effect of bin migration, i.e, it compares specific observables for jet populations at the same reconstructed jet transverse momentum ($p_T$). Since jet $p_T$ is itself modified by...
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Cari Cesarotti (MIT)01/08/2024, 11:00
It is known that perturbative simulations of high-multiplicity jets can vary quite substantially from data collected at high-energy colliders like the LHC. It is therefore important to understand what is driving the discrepancy and if there are other possible tools to simulate these events without relying on individual particle simulation. We propose that another observable to manage...
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Mark Gonzalez (Yale University)01/08/2024, 11:20
Energy correlators, which as a jet-substructure observable measure correlations between energy detectors (calorimeters) in a collider experiment, have received significant attention over the last few years in both the theory/phenomenology and experimental communities. This success has prompted investigations into how energy correlators can be further used, such as in the study of both hot and...
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Dr Alexander Bogatskiy01/08/2024, 11:40
Abstract: The current best-performing networks in many ML for particle physics tasks are either custom-built Lorentz-equivariant architectures or more generic large transformer models. A major unanswered question is whether the high performance of equivariant architectures is in fact due to their equivariance. We design a study to isolate and investigate effects of equivariance on network...
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Qibin LIU (TDLI., Shanghai JiaoTong University)01/08/2024, 12:00
We propose a new approach to learning powerful jet representations directly from unlabelled data. The method employs a Particle Transformer to predict masked particle representations in a latent space, overcoming the need for discrete tokenization and enabling it to extend to arbitrary input features beyond the Lorentz four-vectors. We demonstrate the effectiveness and flexibility of this...
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01/08/2024, 12:20
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Melissa van Beekveld02/08/2024, 10:00
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Jennifer Roloff02/08/2024, 11:20
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02/08/2024, 12:20
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02/08/2024, 12:25
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Tianji Cai (SLAC National Accelerator Laboratory, Stanford University)
How can one fully harness the power of physics encoded in relativistic $N$-body phase space? Topologically, phase space is isomorphic to the product space of a simplex and a hypersphere and can be equipped with explicit coordinates and a Riemannian metric. This natural structure that scaffolds the space on which all collider physics events live opens up new directions for machine learning...
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