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Phoenix 2025

9–11 Jul 2025
Convention Centre
Asia/Kolkata timezone

Session

Parallel 2

10 Jul 2025, 15:00
Seminar hall-1 (Convention Center)

Seminar hall-1

Convention Center

Conveners

Parallel 2: BSM + Collider

  • Subhaditya Bhattacharya

Description

BSM + Collider

Presentation materials

There are no materials yet.

  1. 44. A multi-boson door into compositeness
    Abhishek Kumar Singh (Indian Institute Of Technology Delhi)
    10/07/2025, 15:00

    A multi-boson door into compositeness

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  2. 45. Probes of Anomalous Events at LHC with Self-Organizing Maps
    Shreecheta Chowdhury (SRM University-AP)
    10/07/2025, 15:15

    Self-organizing map (SOM), a special class of artificial neural network (ANN),
    has found extensive application in many science branches since its discovery in 1982 by
    Teuvo Kohonen. Inspired by the ability of the brain to map smells, sounds, images, etc., to
    different neurons in a self-organizing way and segregate them concerning their similarity,
    SOM is widely used for dimensional...

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  3. 46. Hyperchargeless Scalar Triplets and the Price of Minimalism
    Snehashis Parashar (IIT Hyderabad)
    10/07/2025, 15:30

    We study the most minimal scalar extension that offers a tree-level violation of the custodial symmetry, while containing a dark matter (DM) candidate. A hypercharge-less scalar triplet that obtains a small vev breaks the custodial symmetry, which translates to the charged component $T^\pm \to Z W^\pm$ decay. Adding an inert singlet to this extension as a stable DM also opens up the fully...

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  4. 48. Probing exotic Z → b¯bγ decay at HL-LHC with Machine Learning approaches
    Tejaswini Thallapalli
    10/07/2025, 15:45

    We investigate the sensitivity of high luminosity LHC for rare Z decay into b¯bγ . As a bench mark we consider a model with axion like particles where Z decays to axion
    and photon and axion decays into two bottom quarks, leading to a final state with two
    b-tagged jets and an isolated photon. We focus on distinguishing signal events from
    background using kinematic features and spatial...

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  5. 49. Bayesian Model Comparison: The Battle Royale of New Physics Models
    Rajneil Baruah (Bennett University)
    10/07/2025, 16:00

    Finding high-likelihood regions in BSM scenarios, particularly in high-dimensional models is a computationally expensive task and inefficient task using conventional statistical methods, due to the curse of dimensionality. In this work, we implement a generative framework, Real-valued Non-Volume Preserving(RealNVP) Normalizing Flows as our Machine Learning(ML) framework to assist Nested...

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