126 citations · 1.4k across the 64 of their papers we have counts for
5 papers · 1 filter
Loss function to optimise signal significance in particle physics
Jai Bardhan, Cyrin Neeraj, Subhadip Mitra +1
We construct a surrogate loss to directly optimise the significance metric used in particle physics. We evaluate our loss function for a simple event classification task using a li…
TooLQit: Leptoquark Models and Limits
Arvind Bhaskar, Yash Chaurasia, Arijit Das +5
We introduce the leptoquark (LQ) toolkit, TooLQit, which includes leading-order FeynRules models for all types of LQs and a Python-based calculator, named CaLQ, to test if a set of…
Machine learning tagged boosted dark photon: A signature of fermionic portal matter at the LHC
Shivam Verma, Sanjoy Biswas, Tanumoy Mandal +1
We use a Hybrid Deep Neural Network (HDNN) to identify a boosted dark photon jet as a signature of a heavy vector-like fermionic portal matter (PM) connecting the visible and the d…
Vector leptoquark contributions to lepton dipole moments
Arvind Bhaskar, Diganta Das, Soumyadip Kundu +3
Leptoquarks (LQs) can contribute to the magnetic and electric dipole moments of charged leptons, which the current experiments have measured with good accuracy. We revisit the para…
Unsupervised and lightly supervised learning in particle physics
Jai Bardhan, Tanumoy Mandal, Subhadip Mitra +2
We review the main applications of machine learning models that are not fully supervised in particle physics, i.e., clustering, anomaly detection, detector simulation, and unfoldin…