School: Mount Carmel Senior Secondary School,
Cement Nagar, India
Subjects: Physics, Maths, Chemistry, Biology,
English
Board of Examination: Central Board of Secondary
Education (CBSE)
Duration: 2 years (July 2017 to July 2019)
Percentage of marks obtained: 92.8%
Matriculation
School: Vianney Vidya Mandir, Ghugus, India
Subjects: Physics, Chemistry, Maths, Biology,
English literature and grammar, Home Science
Board of Examination: Indian Certificate of
Secondary Education (ICSE)
Year of Completion: 2017
Percentage of marks obtained: 89%
Master's Thesis
Project Title: “Background Estimation of Mono-Higgs
in 𝑏𝑏̅ final state using 2018 data of the CMS detector at the LHC,
CERN”
Supervisor: Dr Bhawna Gomber, University of
Hyderabad
Description:
Among the many open questions in physics, the question of what
Dark Matter is, is a mysterious one.
In this thesis, I studied a specific 'simplified model' of dark
matter. The simplified model is a supersymmetric model called
the two-Higgs doublet model - a (2HDMa). The 2HDMa model
introduces a new pseudoscalar 'a', which mediates the
interaction between the Dark sector (denoted by $\chi$ and
$\bar{\chi}$) and the usual standard model particles.
The signal signature is a high missing transverse momentum and a
standard model Higgs which decays to two bottom quarks. These
bottom quarks produce particle jets which are identified as
'b-jets' using a b-tagging algorithm.
The analysis involves the identification of the signal (large
$p_T^{miss} + H\rightarrow b\bar{b} $) from various backgrounds
which are estimated by defining control regions and by
Monte-Carlo simulation.
I use the COFFEA framework (Columnar Object
Framework for Effective Analysis) as my analysis tool.
The analysis is originally going on at the University of
Wisconsin, Madison. I collaborate with the Wisconsin group to
perform control region studies.
The two major backgrounds for this analysis are top pairs
($t\bar{t}$) and $Z\rightarrow \nu\bar{\nu}$. These two
backgrounds are estimated by estimating four different control
regions: single muon, single electron, double muon, and double
electron. I have contributed to the estimation of Top muon and
Top electron control region studies.
Internships and other projects
HSF-India Trainee Project
Project: Building examples for Future Circular
Collider (FCC) analyses using the Columnar Framework For Effective
Analysis (COFFEA) framework and developing the schema class
implementation of FCC simulation samples in COFFEA
Mentors: David Lange (Princeton University), Bhawna
Gomber (University of Hyderabad)
Duration: June 2023 - Ongoing
Description:
The purpose of this project is to build the necessary schema class
for FCC simulation samples in COFFEA and create examples of simple
analyses done in COFFEA utilizing FCC simulation samples. The schema
classes for the NanoAOD data structure are already present in
COFFEA. Developing a schema class for FCC samples would enable
analyses to be performed in Python and take advantage of parallel
processing with less time-to-insight. Based on the existing examples
of FCC analyses, COFFEA examples of the same are to be built and
documented, which will streamline the reproducibility of the
results.
Internship with CMS group at the University of Hyderabad
Supervisor: Dr Bhawna Gomber
Duration: 20 th July 2022 to 4 th July 2023
Before starting my master's project, I did an internship with
the CMS (Compact Muon Solenoid) Group at the University of
Hyderabad. I did this in parallel to my coursework classes.
During this time, I learnt the basics of analysis in
experimental HEP.
I learnt a lot of tools: C++, ROOT, CMSSW, Python, COFFEA, bash
scripting and submitting jobs to Dask and HTCondor schedulers.
I took up the job of setting up and maintaining the newly bought
server for my lab. I learnt how to install RHEL-based enterprise
Linux on the server, installed ROOT and other HEP-relevant
software, deployed containerized solutions to HEP analysis like
singularity and docker containers, and hosted an internal
Jupyterhub server with containerized backends.
At the physics analysis part of things, I helped the PhD
students with an estimation of Dielectron backgrounds in their
analyses using ROOT and C++.
Project in experimental nuclear physics
Title: 'Study of entanglement of photons in
para-positronium decay and its implications'
Supervisor: Prof. Rudrajyoti Palit
Duration: (May 2021 to July 2021) and (Dec 2021 to
Jan 2022)
I did a reading project on the above-mentioned title. I learnt
in detail about Gamma-ray spectroscopy and double Compton
scattering cross sections.
I focused on the use of segmented HPGe detectors to detect the
correlation between two entangled photons produced because of a
positronium decay ($e^+ + e^-$)
I learnt about the signal processing and data acquisition
required for such an analysis. I also learnt about CZT detectors
and NaI (Tl) gamma spectroscopy
At the end of my project, my guide posed a problem. The problem
was to find the relative contributions of Compton Scattering and
Photoelectric absorption in a full photopeak corresponding to an
E=0.511MeV. I solved the problem by creating a simulation in
Python from scratch
Technical Skills
Working experience in Python programming and use of modern data
analysis tools relating to high energy physics: COFFEA Framework
(Columnar Object Framework for Effective Analysis), uproot,
awkward array, boost histogram's hist, NumPy, Dask, HTCondor,
matplotlib, pandas, SciPy, etc.
Working experience in C++, ROOT Framework, pyROOT and CMSSW
Very good experience with the GNU/Linux operating system.
Working experience with Debian-based and RHEL-based systems.
Worked with docker, singularity and Jupyterhub
Familiar with machine learning and Neural Networks. Know the
basics of ANN, RNN and CNN and their implementation using Keras
and TensorFlow. Deployed TensorFlow docker and singularity
containers to utilize hardware acceleration through Nvidia GPU
in my project lab servers
Familiarity with other languages: Fortran, HTML, CSS,
JavaScript, Typescript, Bash, and Octave
Experience in Web Development: Made websites using React-based
frameworks like NextJS. Hands-on experience with maintaining a
web server which hosts php-based frameworks like docuwiki