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Nurfikri Norjoharuddeen (Lappeenranta-Lahti University of Technology (FI))7/13/26, 9:00 AM
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Andrea Ghira (TUM)7/13/26, 9:45 AM
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Nicole Michelle Hartman (TUM (DE))7/13/26, 11:15 AMInvited talk
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Simone Caletti (Università degli Studi di Torino, INFN Torino and ETH Zurich)7/13/26, 12:00 PM
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Fang-Ying Tsai (Stony Brook University (US))7/13/26, 2:00 PM
Hadronic objects reconstruction, classification & calibration are key ingredients of many physics analysis in ATLAS. The collaboration is continuously improving their performance by refining various aspects of the related procedures such as statistical methods, data-driven approach or cutting-edge machine learning techniques. This contribution presents highlights of the work and its impact of...
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Theodoros Chatzistavrou (Helsinki Institute of Physics(FI))7/13/26, 2:20 PM
The LHC managed to deliver more than 200/fb of integrated luminosity to ATLAS + CMS in 2024 and 2025, and with this exceeded the expectations for Run 3. Data were collected with an average of 60 pileup interactions happening at the same bunch crossing, and thus challenging the CMS detector and jet reconstruction. We present the latest developments in pileup mitigation, jet calibration, and jet...
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Andreas Hinzmann (Deutsches Elektronen-Synchrotron (DE))7/13/26, 2:40 PM
Ongoing developments of the particle-flow reconstruction for the Phase-2 upgrade of the CMS experiment are presented, with emphasis on algorithmic changes relevant for extreme pileup conditions. The contribution focuses on the integration of new detector inputs, in particular high-granularity calorimetry and precision timing, and their use in particle reconstruction and pileup mitigation....
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Mr Buddhadeb Mondal (Czech Academy of Sciences (CZ))7/13/26, 3:00 PM
Employing machine-learned local calibrations for the basic calorimeter signals in the ATLAS experiment at the Large Hadron Collider (LHC), which are formed by clustering topologically connected cell signals (topo-clusters), shows indications of significant performance improvements in terms of accuracy and precision. The most successfully trained model so far is a dense neural network (DNN)...
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Jingyu Zhang (Vanderbilt University (US))7/13/26, 3:50 PM
The one-point charge correlator probes the charge-asymmetric angular structure of hadronic final states in $e^+e^-$ collisions. In perturbative QCD, the structure is intimately linked to the axial-vector-vector triangle anomaly, making it highly robust against higher-order corrections and offering a novel, theoretically clean perspective on the forward-backward asymmetry, $A_{\rm FB}$. We...
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Simon Rothman (Massachusetts Inst. of Technology (US))7/13/26, 4:10 PM
The immense flux of high-momentum jets produced by the LHC provides a unique opportunity to study the detailed dynamics of high-energy QCD. So-called “energy-energy correlator” observables provide a particularly compelling opportunity to uncover these dynamics by probing the internal structure of jets while maintaining a close connection to fundamental ingredients of QCD theory. The bulk...
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Santeri Laurila (CERN & Helsinki Institute of Physics (FI))7/13/26, 4:30 PM
We present advances in hadronic object tagging for the Phase 2 Upgrade of the CMS Level 1 Trigger. With advances in Fast Machine Learning; more powerful FPGA processors; and the introduction of track and particle flow reconstruction at the Level 1 Trigger, jet tagging will become feasible for the first time in this system. We show the implementation of tiny jet taggers using a DeepSets...
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Tianjia Du (University of Chicago (US))7/13/26, 4:50 PM
We present a convolutional neural network (CNN) for real-time jet substructure identification in the ATLAS hardware trigger at the High-Luminosity LHC (HL-LHC). This approach introduces substructure discrimination at Level-1, enabling efficient separation of jets from hadronically decaying boosted objects (e.g. W/Z/H bosons and top quarks) from the dominant QCD background under extreme pileup...
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Daniel Reichelt (CERN)7/13/26, 5:10 PM
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Maria Hernandez Sanz7/13/26, 5:30 PMPoster
Hadronic object reconstruction & classification 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 QCD and boosted-object identification, MET reconstruction and other tasks will be presented.
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Jennifer Roloff (Brown University (US))7/13/26, 5:30 PMPoster
The suppression of collinear gluon emissions from a massive quark, or the “dead- cone effect,” is the primary manifestation of quark mass effects in parton showers. A differential measurement is presented of the emission density of bottom quarks, studied as a function of the angular separation between the emissions from the same emitter. The measurement is performed in bottom quark-initiated...
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Congqiao Li (Peking University (CN))7/13/26, 5:30 PMPoster
We introduce the Global Particle Transformer (GloParT), a large-scale pretrained model developed within the CMS experiment for boosted-jet tasks. Initiated in mid-2022, GloParT is designed as a “foundation model” to support a wide range of tagging and regression applications. It is pretrained on jets from over 300 categories, learning a rich and generalizable representation of jet...
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Dr Gian Michele Innocenti (Massachusetts Inst. of Technology (US))7/13/26, 5:30 PMPoster
Heavy-quark production inside jets provides a sensitive probe of parton shower evolution and flavor creation in QCD. In particular, constraining $g \to c\bar{c}$ and $g \to b\bar{b}$ splittings in pp collisions is important both for understanding heavy-flavor production in vacuum and for establishing a reference for future studies in heavy ion collisions, where long-distance gluon splitting...
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Julia Leszczynska (Polish Academy of Sciences (PL))7/13/26, 5:30 PMPoster
Charged Higgs bosons are predicted in many extensions to the Standard Model and represent a direct signature of an extended Higgs sector. This talk presents the ATLAS Run 2 results of searches for charged Higgs bosons decaying to a tau lepton and a neutrino, using 140fb-1 of proton-proton collision data recorded at √s = 13 TeV. Depending on the charged Higgs boson mass, it is produced either...
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Aritra Mandal (The State University of New York SUNY (US))7/13/26, 5:30 PMPoster
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Yi-Ren Wu (National Taiwan University (TW))7/13/26, 5:30 PMPoster
Precise reconstruction of event kinematics in the presence of invisible particles constitutes a fundamental underconstrained inference problem in particle physics. In processes such as dileptonic $t\bar{t}$ production, multiple undetected neutrinos lead to a multimodal solution space, where several kinematically consistent configurations can explain a single observed event.
We present a...
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Christos Leonidou (University of Cyprus (CY))7/13/26, 5:30 PM
The discovery of the 125 GeV Higgs boson opened a new era in the search for heavy resonances at the LHC. Many BSM scenarios, such as 2HDM, 2HDM+S, TRSM, and NMSSM, predict extended scalar sectors with additional Higgs-like states. These models often produce final states with high-pT Higgs bosons, requiring advanced jet-tagging techniques. This talk presents the latest searches from the CMS...
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Adam Albert Kobert (Rutgers State Univ. of New Jersey (US))7/13/26, 5:30 PMPoster
A search for low-mass resonances decaying into a quark-antiquark pair in the mass range of 10 to 150 GeV is presented. This search uses data from the LHC in proton-proton collisions at √s = 13 TeV, collected by the CMS detector at the CERN LHC in 2016–2018, corresponding to an integrated luminosity of 138 fb−1. The analysis strategy makes use of an initial state photon recoiling against the...
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Haifa Rejeb Sfar (The State University of New York SUNY (US))7/13/26, 5:30 PMPoster
A search for new particles decaying to top quark-antiquark pairs is performed using proton-proton collision data at a centre-of-mass energy of 13 TeV. The data set recorded with the CMS detector between 2016 and 2018 is used, corresponding to an integrated luminosity of 138 fb − 1 −1 . Final states with 0, 1, and 2 leptons are analyzed, covering all decay modes of the top quark-antiquark...
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Xinyue Geng (Peking University (CN))7/13/26, 5:30 PMPoster
A search for nonresonant triple Higgs boson production in the six b quark final state is performed using proton-proton collisions at √s = 13 TeV corresponding to an integrated luminosity of 138 fb−1 recorded by the CMS experiment. Each Higgs boson is reconstructed either from two small-radius jets (resolved) or a single large-radius jet (merged). No significant excess of events over the...
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Petar Maksimovic (Johns Hopkins University (US))7/13/26, 5:30 PMPoster
Vector-Like Quarks (VLQs) are a central feature of many BSM scenarios, including Composite Higgs and Extra-Dimensional models. These heavy fermions offer a natural solution to the hierarchy problem and provide a framework for understanding the Standard Model flavor structure. Unlike chiral fourth-generation quarks, VLQs are consistent with current Higgs boson measurements as their masses are...
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Amartya Rej (Technische Universitaet Dortmund (DE))7/13/26, 5:30 PMPoster
W and Z boson polarization is a direct probe of electroweak symmetry breaking, as the longitudinal states are physical remnants of the Higgs mechanism and their production fraction is uniquely sensitive to anomalous gauge couplings and new physics.
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While leptonic decay channels of W/Z provide clean polarization measurements through the lepton angular distribution, they suffer from limited... -
Osama Karkout (Nikhef National institute for subatomic physics (NL))7/14/26, 9:00 AM
The identification of Higgs bosons with high transverse momenta is essential for the Higgs-boson research programme at the LHC, reaching across cross-section measurements in high transverse momentum regimes, Higgs-boson pair production searches, and searches for new heavy resonances. We present recent advances in Higgs-boson identification algorithms for cases where the Higgs-boson decay...
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Congqiao Li (Peking University (CN))7/14/26, 9:20 AM
This talk summarizes recent progress in boosted object tagging in the CMS experiment, focusing on developments targeting Run 3 analyses. Updates to deep learning–based taggers are presented, including improvements in training strategies, input representations, and robustness to pileup and detector effects. Advances in calibration and systematic uncertainty evaluation are discussed, with...
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Donato Troiano (Universita e INFN, Bari (IT))7/14/26, 9:40 AM
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Tommaso Tedeschi (Universita e INFN, Perugia (IT))7/14/26, 10:00 AM
The application of quantum algorithms to jet substructure analysis is of growing interest as Noisy Intermediate-Scale Quantum (NISQ) hardware continues to mature in qubit count and gate depth. Jet substructure remains essential for addressing challenges at the LHC and beyond, notably object classification and polarization tagging. However, existing quantum machine learning approaches typically...
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Yicong Huang (Charles University (CZ))7/14/26, 10:50 AM
Large radius jets are useful objects to describe massive resonances produced with a high boost which decay fully hadronically. During the Run~2 run of the LHC, the ATLAS experiment developed a new algorithm to define large-radius jets, clustering Unified Flow Objects (UFO) constituents and applying the constituent subtraction (CS), soft killer (SK) and soft drop (SD) techniques. In this paper,...
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Snigdho Chakraborty (University of Warwick (GB))7/14/26, 11:10 AM
Decays of the Higgs and Z bosons to bottom quarks are essential for measurements of the bottom quark Yukawa coupling, the Higgs self-coupling, and production modes in highly boosted phase spaces. In ATLAS, these decay products are reconstructed as jets using a clustering radius parameter of R=0.4 and R=1.0 for resolved and boosted decays, respectively. Improvements in flavour tagging, which...
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Conrado Munoz Diaz (Riga Technical University (LV))7/14/26, 11:30 AM
This talk presents a comprehensive overview of recent measurements of the mass and substructure of boosted top quarks and W bosons using full Run 2 data from ATLAS and CMS. Particular emphasis is placed on the extraction of the top quark mass in highly collimated topologies, contrasting precision determinations from ATLAS with advanced reclustering strategies used by CMS, such as the use of...
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Christos Leonidou (University of Cyprus (CY))7/14/26, 11:50 AM
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Gabriel Facini (University of London (GB))7/14/26, 12:10 PM
Measurements of Higgs boson productions in the very high pT regime is of great interest because it is sensitive to potential new physics beyond the Standard Model. Such measurements are typically carried out in channels with large branching ratios (such as H->bb) due to the low rate. The decay products of the Higgs boson will be so collimated in the high pT regime that they can be...
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Greta Brianti (Nikhef)7/14/26, 2:00 PMTalk
The identification of jets containing b-hadrons is essential for many physics analyses at the LHC, including precision measurements of Higgs boson and top-quark processes, as well as searches for physics beyond the Standard Model. We present recent improvements in the discrimination of b-jets from jets originating from lighter quarks using the ATLAS detector. These advances are driven by...
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Philipp Gadow (Hamburg University (DE))7/14/26, 2:20 PMTalk
Innovation in jet tagging techniques to identify (heavy) quark flavours or gluons, as well as hadronic tau reconstruction and identification, has been an important driver to maximally exploit the physics potential of LHC data, and remains an active area of study in CMS. In this talk we present the latest algorithm developments and performance results.
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Apranik Fatehi (University of Hamburg - CERN - DESY)7/14/26, 2:40 PMTalk
Jet flavour identification algorithms are essential to maximise the physics output in e+e- collisions at the Future Circular Collider (FCC-ee). Within the broad FCC-ee physics programme, jet flavour tagging plays a central role in QCD studies as well as in precision measurements of the Higgs boson, electroweak bosons, and top quark, owing to the dominance of hadronic decays of the heaviest...
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Sung Hak Lim (IBS CTPU-PTC)7/14/26, 3:00 PMTalk
Modern jet taggers operating directly on jet constituents have shown impressive performance, yet the high-level physics features they exploit to outperform classical methods remain only partially understood. In this paper, we discuss hidden particle flavor information imprinted in the kinematics of jet constituents; this flavor information is less accounted for in constructing high-level...
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Samuel Jankovych (Nikhef National institute for subatomic physics (NL))7/14/26, 3:20 PMTalk
Distinguishing quark-initiated jets from gluon-initiated jets is impactful for numerous LHC physics analyses, including precision Higgs boson measurements and searches for a production of two Higgs bosons in vector-boson fusion topologies. This talk presents DeParT, a transformer-based quark/gluon tagger developed by ATLAS that exploits the full information from jet constituents reconstructed...
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Dr Gian Michele Innocenti (Massachusetts Inst. of Technology (US))7/14/26, 4:10 PM
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Lee Sawyer (Louisiana Tech University (US))7/14/26, 4:30 PM
We present new jet production results from ATLAS. Measurements of multi-differential dijet production using the full Run 2 data set are compared to state-of-the-art predictions. In addition a new measurement of W production in association with b-jets provides an important test of perturbative quantum chromodynamics (pQCD) in the presence of heavy quarks.
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Andrea Ghira (TUM)7/14/26, 4:50 PM
We compute resummed and matched predictions for jet angularities in hadronic $Z+$jet events, where the jet is initiated by a $b$-quark. The analysis is performed both with and without grooming the candidate jets using the SoftDrop algorithm. Mass effects are consistently included at both fixed-order and resummed levels.
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Our theoretical predictions also incorporate non-perturbative... -
Cristian Baldenegro (Massachusetts Inst. of Technology (US)), Florian Damas (UNESP - Universidade Estadual Paulista (BR)), Matthew Nguyen (Centre National de la Recherche Scientifique (FR)), Paul Ghinderelli7/14/26, 5:10 PM
Measurements of quarkonium-in-jet fragmentation have established that hidden heavy-flavor hadrons, such as $J/\psi$ ($c\bar c$) and $\Upsilon$ ($b\bar b$) states, are produced copiously within active jet showers. This has motivated new developments in parton shower algorithms, opening a broader avenue for heavy-flavor jet substructure studies. We present a comparative phenomenological study of...
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Songshaptak De (Jožef Stefan Institute)7/14/26, 5:30 PM
We present a jet substructure-based polarimetry framework for boosted heavy neutrino fat jets at the HL-LHC, with the goal of probing the chiral structure of heavy $W'$ interactions. In the boosted regime, a heavy neutrino $N$ produced via $pp \to W' \to \ell N$ and decaying as $N \to \ell jj$ gives rise to a collimated final state. This final state can be reconstructed as a large-radius...
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Taoya Gao (Shandong University)7/15/26, 9:00 AM
Jet production in high-energy collisions at RHIC provides direct access to the spin and flavor structure of the nucleon, as well as to the mechanisms of spin-dependent fragmentation and hadronization. This talk will present recent STAR results on jet production in proton-proton collisions, with emphasis on cold QCD and spin physics. The topics to be discussed include jet spin asymmetries,...
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Shuangyi (Bill) Zhou (Vanderbilt University)7/15/26, 9:20 AM
Electron-positron collisions provide a uniquely clean environment for precision studies of jets and Quantum Chromodynamics, free from hadronic initial-state effects and with a well-defined hard-process energy scale. Recent progress in archival-data preservation and modern analysis techniques has opened a new program of jet and energy-flow measurements using LEP data, allowing contemporary...
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Chen-Hua Hsu (National Taiwan University (TW))7/15/26, 9:40 AM
Precision studies of $τ⁺τ⁻$ production at the Z pole provide a clean environment for investigating electroweak spin correlations and quantum information observables. Using archived LEP-1 data collected by the DELPHI experiment, the process $e⁺e⁻ → Z → τ⁺τ⁻$ is well measured, but the presence of multiple neutrinos in $τ$ decays limits reconstruction of the $τ$-pair rest frame. This constrains...
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Van Dung Le (Helsinki Institute of Physics)7/15/26, 10:00 AM
We present a measurement of a set of generalized jet angularities using proton-proton collision data at $\sqrt{s} = 7$ and $13$ TeV from the CMS Open Data. The measured distributions are unfolded to particle level to correct for detector resolution and acceptance effects, accompanied by evaluations of experimental and methodological systematic uncertainties. Measurements at two or more...
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Monika Robotková (Nuclear Physics Institute, Czech Academy of Sciences)7/15/26, 10:50 AM
Jets are multiscale objects that provide a direct connection between partons and hadrons, making jet substructure measurements a powerful probe of both perturbative and non-perturbative QCD dynamics. At STAR, a broad set of jet substructure observables, including SoftDrop-groomed observables and N-point Energy Correlators (ENCs), is used to investigate parton shower evolution and hadronization...
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Nima Zardoshti (CERN)7/15/26, 11:10 AM
[TBC]
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Raffaele Delli Gatti (Universita e INFN Trieste (IT))7/15/26, 11:30 AM
The production of jets in association with Z bosons offers a uniquely clean probe of the quark-gluon plasma (QGP), as the Z boson's decay products bypass strong medium interactions, preserving the initial hard-scattering kinematics. We present the latest measurement of Z+jet correlations in the dimuon channel using the new 5.36 TeV Run 3 data collected by the CMS experiment in 2023 and 2024....
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Petr Balek (AGH University of Krakow (PL))7/15/26, 11:50 AM
In ultra-relativistic heavy-ion collisions, jet yields are suppressed relative to proton–proton baselines due to partonic energy loss in the quark–gluon plasma. This phenomenon, known as jet quenching, reflects the interaction of hard-scattered partons with the hot and dense medium created in the early stages of the collision. This ATLAS contribution presents a set of measurements that go...
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Diogo Costa (Universidad de Granada)7/15/26, 12:10 PM
The theoretical interpretation of jet observables in heavy-ion collisions is a complex task due to the intricate interplay of perturbative and non-perturbative effects. One way to reduce this complexity is to groom away soft, wide-angle radiation so that perturbative dynamics dominates. Even in this simplified scenario, there are competing explanations for the physical origin of the measured...
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Daniele Atzori (LPTHE Paris & INFN Genova)7/16/26, 9:00 AM
It has recently been proposed that collider events can be equipped with a metric, the Energy Mover’s Distance (EMD), which allows one to rephrase multiple aspects of jet physics in a geometric language. Further, the EMD can be exploited to define new observables that measure the distance between a given event and an idealised one. For instance, event isotropy quantifies the resemblance of an...
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Alexander Fraley (University of Manchester)7/16/26, 9:20 AM
It has been shown recently that defining a jet by a transverse-momentum style resolution parameter produces a fragmentation function that evolves with the standard timelike $\overline{\rm MS}$ DGLAP kernels, to next-to—single logarithmic ($\alpha_s^n L^{n-1}$) accuracy. In contrast the NSL fragmentation function for a purely angular cut like a small jet radius deviates from time-like DGLAP...
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Joon-Bin Lee (Seoul National University (KR))7/16/26, 9:40 AM
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Kazuki Sakurai (University of Warsaw)7/16/26, 10:00 AM
Fully hadronic events at hadron colliders are difficult to analyse because extra QCD radiation creates many possible jet combinations and varying jet multiplicities. I will discuss how the two-point correlation spectral function can provide a compact, permutation-invariant event representation for machine-learning analyses. As a benchmark, I apply this method to gluino pair production followed...
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Benoit Assi (Fermilab)7/16/26, 10:50 AM
We begin by reviewing how NLL accuracy is achieved in modern parton showers, highlighting the recent Sherpa implementation, and then introduce our new information-theoretic matching framework to achieve beyond NLL accuracy. By minimizing a Kullback–Leibler functional under constraints set by precision QCD input observables (including theory uncertainties), we embed high-order predictions into...
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Nina Elmer (University of Cambridge)7/16/26, 11:10 AM
With the vast amount of data already produced by the LHC and the upcoming HL-LHC runs, reliable and precise uncertainty quantification for numerical tools, in particular neural networks, is essential. We present a systematic study of uncertainty estimation using various machine learning approaches, including neural networks, Gaussian processes, and neural tangent kernels.
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As an underlying... -
Anthony Badea (University of Chicago (US)), Hannah Bossi (Massachusetts Inst. of Technology (US))7/16/26, 11:30 AM
Agentic AI systems are rapidly moving beyond information retrieval and code completion toward the execution of complex, multi-step technical tasks. For experimental particle physics, this creates both an opportunity and a challenge: AI agents can accelerate analysis implementation, validation, and documentation, but physics measurements require controlled reasoning, reproducibility, and expert...
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Ethan Lewis Simpson (The University of Manchester (GB))7/16/26, 11:50 AM
Modern analysis of collider data relies heavily on machine learning. This talk will discuss geometric machine learning methods, focusing on the HyPER tool: applying hypergraph representation learning to reconstruct short-lived particles in collider data. The method is extended through generative ML techniques to include production processes featuring neutrinos, making the HyPER tool a...
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Ana Rita Ferreira Carvalho (Instituto Superior Técnico and Laboratory of Instrumentation and Experimental Particle Physics (PT))7/16/26, 12:10 PM
The measurement of the trilinear Higgs boson self coupling, accessible through Higgs pair production, is one of the most important goals of the High-Luminosity LHC (HL-LHC), since it allows to probe the shape of the Higgs potential, a crucial prediction of the electroweak symmetry breaking mechanism. However, the low pair production cross-section is a challenge, namely for the online event...
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Radha Mastandrea7/16/26, 2:00 PM
Fixed-order perturbative calculations for differential cross sections can suffer from non-physical artifacts: they can be non-positive, non-normalizable, and non-finite, none of which occur in experimental measurements. We propose a framework, the Resummed Distribution Function (RDF), that, given a perturbative calculation for an observable to some finite order in $\alpha_s$, will ``resum''...
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Jennifer Roloff (Brown University (US))7/16/26, 2:20 PM
As the accuracy of experimental results increases in high energy physics, so too must the precision of Monte Carlo simulations. Currently, event generation at next-to-leading order (NLO) accuracy in QCD and beyond results in the production of negatively-weighted events. The presence of these weights increases strain on computational resources by degrading the statistical power of MC samples,...
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Rikab Gambhir (University of Cincinnati)7/16/26, 2:40 PM
The issue of negative weights in the simulation of particle collider events at higher orders in perturbation theory can significantly reduce numerical precision, for a given statistical sample size. Several methods for reducing or even eliminating negative event weights have been proposed, including resampling techniques that involve summing or ``smearing over'' nearby events on phase space...
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Sophia Vent7/16/26, 3:00 PM
Precision event generation is an increasingly important bottleneck for collider phenomenology. At higher orders in QCD, local cancellations between real-emission matrix elements and subtraction terms can lead to large weight fluctuations and negative-weight events, reducing the effective statistics of Monte Carlo samples. We explore a machine-learning approach to reshape these cancellations...
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Petar Maksimovic (Johns Hopkins University (US))7/16/26, 3:50 PM
In the absence of direct evidence for new physics in targeted searches, model-independent strategies are becoming increasingly important. In this talk, we present recent results of model-agnostic searches that are facilitated by advanced machine learning techniques, opening a new avenue for unbiased detection of potential new physics signals.
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Antti Pirttikoski (Universite de Geneve (CH))7/16/26, 4:10 PM
Many theories beyond the Standard Model (SM) have been proposed to address several of the SM shortcomings. Some of these beyond-the-SM extensions predict new particles or interactions directly accessible at the LHC. These signatures range from relatively standard, to those needing special reconstruction algorithms or techniques. This talk will cover several such recent searches at ATLAS.
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Rafal Maselek7/16/26, 4:30 PM
Anomaly detection has emerged as a promising paradigm for BSM searches at the LHC, leveraging modern machine learning techniques to identify subtle deviations directly in data. In particular, out-of-distribution (OOD) approaches target signals that populate the tails of an anomaly score, offering sensitivity to a wide range of unforeseen signatures. A central challenge in such searches is the...
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Chitrakshee Yede (Hamburg University (DE))7/16/26, 4:50 PM
The search for physics beyond the standard model is one of the main focuses in high-energy physics. Conventional searches at the LHC, though comprehensive, have not yet shown signs for new physics. Machine learning based anomaly detection has emerged offering a model-agnostic way to enhance the sensitivity of generic searches as compared to those targeting specific signal model. CATHODE...
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Adam Albert Kobert (Rutgers State Univ. of New Jersey (US))7/16/26, 5:10 PM
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Matteo Cacciari (LPTHE Jussieu)7/17/26, 9:00 AM
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Hannah Bossi (Massachusetts Inst. of Technology (US))7/17/26, 10:30 AMInvited talk
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Simon Rothman (Massachusetts Inst. of Technology (US))
The Large Hadron Collider (LHC) provides an ideal environment in which to study the strong nuclear force in the high-energy regime. Studying the internal structure of jets at the LHC provides a particularly compelling opportunity to uncover the detailed dynamics of the strong force, covering a range of energy scales from the high-momentum scale of the jet itself down to the scales at which...
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