I am interested in a wide array of topics, e.g. Particle Physics Phenomenology, Collider Physics, Dark Matter Physics, Color Superconductivity,  Neutron Star Equations of States and Fluid Dynamics. I am currently engaged in setting precise exclusion limits on Leptoquark Parameter spaces and determining the effects of intense Neutron Star magnetic fields on 2SC chiral-diquark phase transition. Apart from work, I read non-fiction, lift heavy weights and blast my brains out with Heavy Metal. 

I'm deeply immersed in the exciting field of collider phenomenology, with a focus on both scalar and vector leptoquarks. Currently, I'm exploring mono W signatures at the LHC across various dark matter models. Additionally, I've introduced vector-like leptons to the leptoquark framework, employing collider data to set new bounds. My future endeavors involve investigating higher gauge theories, which could lead to a myriad of scalar and  vector leptoquarks. I'm also delving into the intriguing topic of early universe first-order phase transitions within leptoquark scenarios, with a particular interest in early universe gravitational wave signals resulting from these transitions.

My central research revolves around exploring various anomaly-free extensions of the Standard Model. Presently, my work is dedicated to studying models featuring exotic fermionic couplings to Z' gauge boson. I also have a deep fascination with neutrino physics and related phenomenology. Beyond research, I find relaxation and inspiration in chess and music.

My primary research interest is addressing the Anomalous Magnetic Dipole Moment of the Muon, through various Leptoquark scenarios. I also have a keen interest in the application of statistical methods within the field of particle physics. In my free time, I play chess , and take long walks outdoors to unwind and recharge from academic demands.

I use a blend of theory and computation to study the equation of states and structural properties of neutron stars (NS) in various contexts. A few examples can be a dark matter admixed NS, a NS with density dependant nucleon masses, and so on. The properties of matter at extreme densities, like those found in the interior of such stars, are not yet understood, and I, using my models, try to investigate and infer the kind of interactions possible from the observations of the macro properties of the NS.

In my minor project in data science, I used machine learning methods for signal-background classification. I created a multilayer perceptron neural network in Python, and trained and tested models with different parameters on collision data for leptoquark decays and ttbar decays generated using Monte Carlo simulations. The aim was to improve the performance of the neural network on uneven datasets. 

My interest lies particularly in Astroparticle Physics and the conjuncture of Cosmology and Particle Physics. For my major project, I am working on Beyond the Standard Model Physics, particularly Leptoquarks, both scalar and vector. In my leisure time, I prefer reading as well as playing and watching Cricket and Football.

I explored statistical methods in high-energy physics, leading a project on signal-background event distinction using Counting Experiments by applying hypothesis testing, Neyman Pearson test, and likelihood ratio as a test statistic. Now, my work focuses on uncertainties and methods to delve into physics beyond the standard model. I am interested in using statistics for quantitative accuracy in understanding particle dynamics.  I am intrigued by astro-particle physics, connecting microscopic particles to the grand cosmic narrative.

My present work lies in the area characterised by high baryonic density and low temperature in the QCD phase diagram which corresponds to the neutron stars cores. I am interested in the charge neutrality effects on two flavour color superconductivity (2SC) phase of dense quark matter. The framework we are using for our study is the extended Nambu-Jona-Lasinio (NJL) Model.

IPhD student.

For my BS-MS final year project, I explored the discovery potential of a new decay channel of vector-like top quarks at the High Luminosity Large Hadron Collider. I studied Monte Carlo simulation, extra-dimensional models, and machine learning techniques for efficient signal/background classification. As of 2023 I am a PhD student with the ATLAS collaboration at the University of Freiburg, Germany. I work on measuring the luminosity of Pb+Pb collisions using the ATLAS Inner Detector; I then use these collisions to measure the electromagnetic dipole moments of the tau lepton.

Current contact: kartik.bhide@physik.uni-freiburg.de

A summary of my work can be found here: https://inspirehep.net/authors/2069269/

I studied the Inverse See-Saw (ISS) model of neutrino mass generation in a minimal U(1) extended Standard Model (SM), with lepton asymmetry driven by the Majorana phases. Further, the effective Majorana mass for those values of Majorana phases that produced successful leptogenesis in the model was calculated. This was done by constraining the Majorana phases and the flavored charge-parity (CP) asymmetry due to heavy neutrino mixing using the Planck bound on the Baryon Asymmetry of the Universe. And the constrained values of Majorana phases and flavored CP asymmetry was used to calculate the effective Majorana mass.

I explored U(1) extension of the standard model, introducing leptophobic Z' bosons and right-handed neutrinos. Observed symmetry breaking patterns, and a scalar field helps determine the Z' boson's mass. I investigated various decay modes, with a focus on the previously unexplored monoleptonic decay channel. Constraints are established using LHC data, and intelligent cuts, analysis and computational techniques are employed to mitigate background events, showing preliminary results.

Former major Project Student.

Current Position: PhD Scholar at Institut d'Astrophysique de Paris

InspireHep Profile:

My major project titled "Implications of Perturbative Unitarity in BSM Theories" applied perturbative unitarity to analyze scattering processes with Standard Model bosons. It established an upper limit for the Higgs boson's mass and explored the behavior of longitudinally polarized W bosons at high energies. The project also briefly examined BSM theories like the Singlet Scalar Extension and 2HDM models, focusing on their unitarity constraints and parameter space. It studied how perturbative unitarity affects the 2HDM model's decoupling behavior.

The central objective of my Master's research project, titled "Discovery Prospects of Singlet Vector-like Leptons through Leptoquark channels", was to explore the interactions involving vector-like leptons, third-generation leptons, and a scalar leptoquark. This investigation aimed to shed light on their potential for discovery in the Large Hadron Collider (LHC). To accomplish this, I have reviewed the existing literature on the interactions of vector-like leptons with other particles and found a possible interaction among the particles under consideration in this project. Furthermore, I have identified and characterized the potential sources of background interference that may arise in the LHC as a consequence of Standard Model processes and studied techniques to classify between signal and the background.

My major project was about using modern machine-learning techniques like Autoencoders, DNNs, CNNs, and PCA to detect the phase transitions in the 2D Ising Model and the Potts model. Mixture Density Networks were used to study the distribution of magnetization values for the 3D Ising model to locate its critical temperature. A non-universal mapping between the 3D Ising Model and the QCD Critical End Point is being developed and if the parameters are found, the QCD CEP can be located with good precision.

Former project student.

Current Position: Deutsches Elektronen-Synchrotron (DESY)

Former major project sudent.

Current Position: PhD scholar at Radboud University

InspireHep Profile:

Former project student.

Former major project student.

Present position:  PhD student at University of Tartu.

Email: arpan.chatterjee@ut.ee