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  • Search for vector-like leptons at the Large Hadron Collider 
    SANTPUR, SAI NEHA (2016-05)
    I study the scope of discovering vector-like leptons at the Large Hadron Collider. Unlike the Standard Model leptons, vector-like leptons are non-chiral. Many beyond the Standard Model theories like composite Higgs model, ...
  • Probing Right-Handed Neutrinos at Current and Future Colliders through Displaced Lepton Jets 
    GADKARI, DIVYA (2017-04)
    In this thesis, the sensitivity of searches for the MSM model in a 13 TeV and a 100 TeV hadron-hadron collider, were compared. The MSM predicts heavy right-handed neutrinos which mix with the SM neutrinos. This model ...
  • A Search for the evidence of typr-III seesaw mechanism in multileptonic final states at the LHC 
    KOTHEKAR, KUNAL (Dept. of Physics, 2018-12)
    The standard model(SM) of particle physics is an experimentally tested successful the- ory of the modern physics era. However there exist phenomena which the SM does not describe. Among others, the neutrino mass hierarchy ...
  • Electron Classification using deep learning 
    JOHNSON, STEENU (2019-04)
    In this thesis, we examine to what extend machine learning techniques like convolutional neu- ral networks can differentiate real and fake electrons better than the observables constructed by physicists. Our approach is ...
  • Search for vector-like leptons in final states with multiple leptons 
    KAPOOR, ANSHUL (Dept. of Physics, 2019-11)
  • Search for new phenomena at CMS in the multilepton final state 
    CHAUHAN, SHUBHANSHU (Dept. of Physics, 2019-11)
    The standard model of particle physics has been extremely successful in describing the fundamental particles and their interactions via electroweak and strong forces. Despite this, there are various experimental observations ...
  • Classification of High Energy Track Using CNNs 
    PAWAR, VIPUL DINESH (Dept. of Physics, 2020-04)
    Image recognition is a topic that focuses on finding and identifying various specified objects, classes of objects, features in a given input image or video frame, even it's no so clear to see. Deep Convolutional Neural ...
  • Applications of Deep Learning: Sequence Modelling in Industrial Sound Analytics 
    CHOUDHARY, ABHISHEK (2021-06)
    In today's world of data and information, deep learning has proven to be the ace in data science applications. While we hear much of deep learning concerning computer vision, NLP (Natural Language Processing), audio analysis ...
  • Inclusive nonresonant multilepton probes of new phenomena 
    RASTOGI, ANGIRA (Dept. of Physics, 2022-03)
    The Standard Model (SM) of particle physics is a very successful breakthrough in our current understanding of the universe. It is a framework built on quantum field theory approach, unifying the three out of the four ...
  • Simulating Collision Events using Neural Networks 
    JAYARAJ, APARNA (2023-05)
    In this work, we study the use of machine learning techniques to generate simulation of pp collisions at the CMS experiment at the LHC. Standard model processes such as W +jets form a background for beyond standard model ...
  • Reconstruction of Merged Electrons at CMS 
    SARKAR, SOUMYA (2024-05)
    The fundamental composition of and interactions of matter in the universe is described by a collection of quantum field theories known as the Standard Model (SM). Though the SM has been thoroughly tested at colliders such ...
  • Study of low-momentum taus at CMS 
    BANERJEE, PARIJAT (2024-05)
    The tau lepton, which is the third-generation lepton, is the only lepton that decays hadronically as well as leptonically. Tau lepton reconstruction is thus challenging at a hadron collider such as the LHC. Standard tau ...

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