Research

Experimental High Energy Physics

Research Interests:

Heavy Flavor Physics:

Heavy-flavor physics explores the behavior of particles containing heavy quarks, such as charm and bottom. Studying their production in hadronic and heavy-ion collisions reveals the properties of the hot and dense Quark–Gluon Plasma (QGP). These investigations provide essential insights into heavy-quark energy loss, collective flow, and hadronization, while also serving as stringent tests of perturbative Quantum Chromodynamics (pQCD).

Our group focuses on azimuthal correlations between HF hadrons and charged particles in proton–proton and heavy-ion collisions, aiming to uncover the dynamics of heavy-flavor production and its modification in the QGP environment.

QGP Phenomenology:

QGP (Quark–Gluon Plasma) Phenomenology is the study of the properties and behaviour of the quark–gluon plasma, a state of matter formed in high-energy heavy-ion collisions. This field of research focuses on understanding various observable features of the quark–gluon plasma, such as its equation of state, transport properties, and particle production patterns. QGP phenomenology also involves comparing experimental data with theoretical models to gain insights into the fundamental properties of the strong nuclear force and the behaviour of matter under extreme temperatures and densities.

Detector Simulation:

Detector simulation is a computational technique used in particle physics research to simulate the behavior of particles as they interact with detectors. This involves modeling the interactions of particles with matter, as well as the electronic response of the detectors. Detector simulation is an essential tool for designing new detectors and optimizing their performance, as well as for analyzing the data collected in experiments. By comparing the simulated data with experimental data, researchers can test theoretical models, search for new physics, and better understand the properties of particles and their interactions.

Machine Learning:

Machine learning is a powerful tool used in particle physics research to analyze large and complex datasets generated from particle collider experiments. It involves developing algorithms and models that can automatically identify patterns, classify particles, and distinguish signal from background. Machine learning is used for a variety of applications in particle physics, such as event reconstruction, particle identification, anomaly detection, and optimization of data selection criteria. The use of machine learning has the potential to significantly enhance our understanding of fundamental particles and interactions, as well as to discover new physics beyond the Standard Model.

Quantum Computing:

Quantum computing is an emerging technology that uses quantum mechanics to process information in ways that are fundamentally different from classical computing. It has the potential to revolutionize high-energy physics by enabling more efficient simulations of complex quantum systems, such as the behavior of subatomic particles. Quantum computing can also be used to solve optimization problems and to improve the analysis of large datasets generated by particle collider experiments. Additionally, quantum computing may lead to the discovery of new algorithms and computational techniques that can aid in our understanding of fundamental physics.

Experiments:

ALICE@LHC, CERN: ALICE (A Large Ion Collider Experiment) is one of the four major particle detectors at the Large Hadron Collider (LHC) at CERN. Its primary goal is to study the properties of the quark-gluon plasma, a state of matter that existed in the early universe just after the Big Bang. ALICE is designed to detect the particles produced in heavy-ion collisions at the LHC, which are used to study the properties of the quark-gluon plasma. The detector is made up of several sub-detectors that measure different properties of the particles produced in the collisions. The research conducted at ALICE provides important insights into the fundamental properties of matter and the evolution of the universe. In addition, ALICE also studies other topics such as the behaviour of exotic particles and the properties of matter under extreme conditions. The ALICE experiment involves thousands of scientists and engineers from around the world and has produced numerous important discoveries.

CBM@FAIR, GSI: CBM (Compressed Baryonic Matter) is a future experiment that will be located at the Facility for Antiproton and Ion Research (FAIR) at the GSI Helmholtz Center for Heavy Ion Research in Germany. CBM will investigate the properties of nuclear matter at high densities and temperatures, with the aim of understanding the behavior of matter in the early universe. The detector will measure the rarest and most energetic collisions of heavy ions at the FAIR facility, enabling the study of extreme states of matter. The CBM experiment will consist of several sub-detectors, including a Time Projection Chamber and a Ring Imaging Cherenkov detector, which will allow for the measurement of the properties of the produced particles. The research conducted at CBM will contribute to our understanding of the nature of the strong nuclear force and the evolution of the universe.

Electron Proton Ion Collider Experiment, BNL, USA: The Electron Ion Collider (EIC) is a proposed particle accelerator facility at Brookhaven National Laboratory (BNL) in the United States. The EIC will be designed to collide beams of electrons and protons or ions at high energies, providing a unique tool for studying the structure of nucleons and the behavior of the strong nuclear force. The EIC will use a series of accelerators to produce and accelerate the beams, and will include a complex of detectors to measure the particles produced in the collisions. The scientific goals of the EIC include understanding the origin of the mass of protons and neutrons, the role of gluons in the structure of nucleons, and the properties of nuclear matter at high energies. The EIC is a collaborative project involving researchers from the United States and around the world, and is expected to begin operation in the next decade. The facility will offer unprecedented opportunities for researchers to explore the fundamental properties of matter and the evolution of the universe.

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