5–9 Oct 2026
Antalya, Türkiye 🇹🇷
Europe/Istanbul timezone

Contribution List

62 out of 62 displayed
Export to PDF
  1. Didar Dobur (Ghent University (BE))
    05/10/2026, 08:30
  2. Uli Haisch, Ulrich Andreas Haisch (University of Oxford (GB))
    05/10/2026, 08:45
  3. 05/10/2026, 09:30
  4. Francesco Romeo (Vanderbilt University)
    05/10/2026, 10:30
  5. Carlo Schiavi (INFN e Universita Genova (IT))
    05/10/2026, 11:00
  6. Luigi Favaro (Universite Catholique de Louvain (UCL) (BE))
    05/10/2026, 11:30
  7. 05/10/2026, 12:00
  8. Luca Martinelli (INFN Sezione di Roma (IT))
    05/10/2026, 15:30
  9. Nils Faltermann (Karlsruher Institut für Technologie (DE))
    05/10/2026, 16:00
  10. Joscha Ahäuser (Karlsruher Institut für Technologie (DE))
    05/10/2026, 16:30
  11. 05/10/2026, 17:30
  12. David Kavtaradze (Ghent University (BE))
    05/10/2026, 18:00
  13. Marius Wiesemann (Max Planck Institute for Physics)
    05/10/2026, 18:30
  14. Ian Brock (University of Bonn (DE))
    05/10/2026, 19:00
  15. Ken Mimasu (University of Southampton)
    05/10/2026, 21:00
  16. Teresa Barillari (Max Planck Society (DE))
    06/10/2026, 08:30
  17. Kun Cheng (University of Pittsburgh)
    06/10/2026, 09:00
  18. Luca Buonocore (CERN)
    06/10/2026, 09:30
  19. Benedikt Gurdon (RWTH Aachen)
    06/10/2026, 10:30
  20. Annika Stein (Johannes Gutenberg Universitaet Mainz (DE))
    06/10/2026, 11:00
  21. Beatriz Ribeiro Lopes (Ghent University (BE))
    06/10/2026, 11:30
  22. Elie Hammou (Nikhef National institute for subatomic physics (NL))
    06/10/2026, 14:30
  23. Ricardo Barrué (Marietta Blau Institute for Particle Physics)
    06/10/2026, 15:00
  24. Niels Van den Bossche (MBI - Austrian Academy of Sciences (AT))
    07/10/2026, 08:30
    BSM
  25. Lidia Dell'Asta (Università degli Studi e INFN Milano (IT))
    07/10/2026, 09:00
    BSM
  26. Giuseppe Bevilacqua (Istituto Nazionale Fisica Nucleare (IT))
    07/10/2026, 09:30
    BSM
  27. Stefano Di Noi (KIT (ITP))
    07/10/2026, 10:00
    BSM
  28. Reza Goldouzian (University of Notre Dame (US))
    07/10/2026, 11:00
    BSM
  29. Farida Fassi (Universite Mohammed V (MA))
    07/10/2026, 11:30
    BSM
  30. Bogdan Dobrescu
    07/10/2026, 12:00
    BSM
  31. 07/10/2026, 13:30
  32. Oleksii Matsedonskyi (University of Cambridge)
    08/10/2026, 09:00
  33. Dorival Gonçalves (Oklahoma State University)
    08/10/2026, 10:30
  34. Dr Adil Jueid (Institute for Basic Science)
    08/10/2026, 11:00
  35. Wolfgang Wagner (Bergische Universitaet Wuppertal (DE))
    08/10/2026, 15:00
  36. James Alfred Mueller (University of Pittsburgh (US))
    08/10/2026, 15:30
  37. Luigi Marchese (ETH Zurich (CH))
    08/10/2026, 16:00
  38. 08/10/2026, 17:00
  39. 08/10/2026, 17:30
  40. 08/10/2026, 18:00
  41. 08/10/2026, 18:30
  42. 08/10/2026, 21:00
  43. Dr Maria Moreno Llacer (Univ. of Valencia and CSIC (ES))
    09/10/2026, 08:30
  44. Michelangelo Mangano (CERN)
    09/10/2026, 09:00
  45. Daniele Lombardi (Max-Planck Institut für Physik), Daniele Lombardi
    09/10/2026, 09:45
  46. LUIGI BELLAFRONTE (IGFAE), Luigi Bellafronte (Florida State University)
    09/10/2026, 10:45
  47. Alexander Grohsjean (Hamburg University (DE))
    09/10/2026, 11:45
  48. 09/10/2026, 12:30
  49. Didar Dobur (Ghent University (BE))
    09/10/2026, 12:40
  50. Ethan Lewis Simpson (The University of Manchester (GB))
    Young Scientist Forum

    Precision measurements in top-quark physics require accurate kinematic reconstruction, definition of interesting observables, and performant signal-to-background separation. This talk will introduce a supervised learning method for generic event reconstruction, highlighting its application to top-quark physics specifically in channels with multiple neutrinos. The approach will be contrasted...

    Go to contribution page
  51. Torben Mohr (Ghent University (BE))
    Young Scientist Forum

    Precision measurements in top quark physics increasingly rely on machine-learning techniques, yet their outputs are often difficult to publish in a form that enables future reinterpretation. We present the Optimal Observable Machine (OOM), a machine-learning framework that constructs unfoldable generator-level observables optimized for the extraction of a parameter of interest. The training...

    Go to contribution page
  52. Olimpia Miniati
    Young Scientist Forum

    Within the framework currently adopted for the description of the fundamental interactions, the particles involved in high-energy collisions are expected to exhibit a basic quantum behaviour.
    As a consequence of this statement, a novel class of "quantum" observables for collider studies naturally arises, whose physical interpretation is rooted in the characteristics of the underlying quantum...

    Go to contribution page
  53. Diego Baron (The University of Manchester (GB))
    Young Scientist Forum

    Machine-learning (ML) methods are increasingly important in collider searches, particularly in scenarios where conventional analysis strategies lose sensitivity. For instance, in searches for heavy top-philic scalar resonances, destructive interference between signal and Standard Model (SM) contributions can strongly distort the invariant-mass spectra and suppress the performance of...

    Go to contribution page
  54. Michele Lupattelli (Muenster University)
    Young Scientist Forum

    The production of four top quarks is one of the rarest Standard Model processes accessible at the LHC, where it was observed in 2023. Studying this process offers valuable insights into the top-quark Yukawa coupling and may reveal new physics. Thus, comparing theoretical predictions with current and future measurements is a crucial test for the Standard Model.
    I will present state-of-the-art...

    Go to contribution page
  55. Manal Alsairafi
    Young Scientist Forum

    I present full off-shell predictions of the production of a top quark pair in association with flavoured jets in the $2\ell$ decay channel at the LHC. Thereby reporting results of the NLO QCD computation for the $pp\to e^+ \nu_e \, \mu^- \bar{\nu}_\mu + nb +X$ process, where $n=3,4$. This calculation includes all resonant and non-resonant diagrams as well as interferences and finite width...

    Go to contribution page
  56. Zihan Zhang (The University of Manchester (GB))
    Young Scientist Forum

    Precision measurements at LHC and HL-LHC require reconstruction of the full event kinematics to derive the observables of interest, a task complicated by two distinct source of ambiguity: the kinematics of neutrinos, which escape the detector undetected, and parton origin of the observed final states. We present VyPER, a Graph Neural Network that provides comprehensive event reconstruction...

    Go to contribution page
  57. Priyanka Lamba
    Young Scientist Forum

    High-energy colliders probe fundamental interactions through direct searches and precision measurements. In the absence of direct signals for new physics, it is important to identify complementary observables that can enhance sensitivity to different underlying dynamics. Conventional observables such as total cross sections and asymmetries have been widely used for indirect searches, but they...

    Go to contribution page
  58. Alexander Lind (INFN Laboratori Nazionali di Frascati (LNF))
    Young Scientist Forum

    The interpretation of the top quark mass measurements in terms of well-known field theory definitions has been the topic of a long-standing discussion. In this work we reconsider this issue and simulate fictitious top-flavoured mesons, whose mass can be related to any top mass definition, such as the pole mass, by means of Heavy Quark Effective Theory. We explore final-state observables for...

    Go to contribution page
  59. Vishakha Lingadahally

    The process of top quark pair production through the decay of the scalars in the 1 Higgs Singlet extension of the Standard Model is associated with large interference effects between the loop-induced 'SM-like' Higgs and heavy Higgs amplitudes, and the QCD continuum background. We attach leptonic decays to the di-top final state at NLO and study the effects of spin correlation in the process....

    Go to contribution page
  60. Sergio Rodríguez Benítez (Instituto de Física Teórica IFT-UAM/CSIC)
    Young Scientist Forum

    Recent LHC measurements near the $t\bar{t}$ production threshold show a cross-section enhancement consistent with a toponium bound state. This work provides the first comprehensive assessment of how toponium affects advanced quantum correlations, specifically quantum steering and Bell nonlocality, in this kinematic region.

    We model the continuum background ($pp \to b\bar{b}W^+W^-$)...

    Go to contribution page
  61. Sergio Rodríguez Benítez (Instituto de Física Teórica IFT-UAM/CSIC)

    Recent LHC measurements near the $t\bar{t}$ production threshold show a cross-section enhancement consistent with a toponium bound state. This work provides the first comprehensive assessment of how toponium affects advanced quantum correlations, specifically quantum steering and Bell nonlocality, in this kinematic region.

    We model the continuum background ($pp \to b\bar{b}W^+W^-$)...

    Go to contribution page
  62. Juhee Song (Hanyang University (KR))
    Poster

    Precise identification of heavy-flavour (HF) jets in tt events is essential for tt+cc/bb measurements. c-jets are often mistagged as b-jets of light-flavour (LF) jets, since their properties lie between those of LF and b-jets. Deep learning algorithms are used to improve the separation of tt+cc/bb events from other tt contributions. Particle Transformer multiclass classifiers are trained to...

    Go to contribution page