15–17 Nov 2023
CERN
Europe/Zurich timezone

Session

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4/3-006 - TH Conference Room (CERN)

4/3-006 - TH Conference Room

CERN

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  1. Ben Stefanek

    Any new physics (NP) lying at the TeV scale must pass stringent flavor as well as collider bounds. Since the top Yukawa gives the largest quantum correction to the Higgs mass, one well-motivated expectation is TeV-scale NP dominantly coupled to the third family. This setup delivers U(2) flavor symmetries that allow one to start explaining flavor at the TeV scale, while simultaneously improving...

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  2. Davide Valsecchi (ETH Zurich (CH))

    This work presents a novel strategy to enhance and expedite the computation of the Matrix Element Method (MEM), a powerful technique for calculating the probability of an event generated by a given theory, using generative machine learning architectures. Despite the theoretical knowledge contained in the MEM, its practical application is hindered by the need for many approximations to compute...

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  3. Ajdin Palavric (University of Basel)

    Standard Model Effective Field Theory (SMEFT) provides a robust approach to explore short-distance new physics effects in a model-independent way. One of the inherent shortcomings of SMEFT is the number of independent parameters, which need to be taken into account to perform the SMEFT analysis in full generality. In this presentation, some of the well-motivated options to reduce the number of...

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  4. Prof. Joydeep Chakrabortty

    I will discuss the computation of effective action after integrating out heavy scalars and fermions respectively up to dimension eight. The result is very universal. The generic expressions for the effective operators up to dimension eight are computed for the first time and applicable for any UV model. At this current situation when we are looking more precise calculation beyond dimension...

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  5. Dr SUPRATIM DAS BAKSHI (Granada University)

    Here, we will propose a github repository for collecting and
    displaying the best limits on SMEFT Wilson coefficients. We will
    explain the bound submission and automated display process for new
    contributors and the minimal coding steps included for that. We will
    elaborate on how we keep it open-source and involve minimal (or null)
    human maintenance. Also, We will discuss the template in...

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  6. Vincent Alexander Croft (Nikhef National institute for subatomic physics (NL))

    In the quest for new physics at the LHC, Effective Field Theory (EFT) provides a robust framework for interpreting data. While classical machine learning is an excellent tool for isolating the effects of individual Wilson Coefficients in experimental data, it is limited in its ability to capture the underlying quantum correlations that these coefficients parametrize. This research proposes the...

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  7. Jacob Julian Kempster (University of Sussex (GB))

    The ATLAS Collaboration produced a roadmap detailing the challenges of combining top+X measurements to produce coherent probes of the Standard Model predictions and Effective Field Theory (EFT) interpretations. Different approaches for combinations and EFT parameter extractions are outlined, and prerequisites on the harmonisation of physics objects and phase-space regions are described. A plan...

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