The Higgs Boson was directly observed, only in its decay modes to the Gauge Bosons (photons, W and Z). No clear, direct signs for Higgs decaying to second generation quarks have been seen yet. Our group is developing a new charm tagger using advanced statistical methods (Deep Learning).
Until we clearly observe the Higgs Boson decay to second generation particles, one would not get a clear evidence for the role of the BEH mechanism in giving mass to matter particles. We are joining effort with TAU in developing an analysis to measure the Higgs coupling to Charm Quarks via the associate production of the Higgs with a Vector Boson (W,Z).
First ever measurement of Higgs production in association with a Charm Quark, pp-->Hc. The Higgs decays to a pair of Photons.
We work on GNN based models for parameterising the efficiency of a tagger, which shows significant improvement over the traiditional approach of using binned map
Jet classification is an important ingredient in measurements and searches for new physics at particle coliders, and secondary vertex reconstruction is a key intermediate step in building powerful jet classifiers.
In the papers: Secondary Vertex Finding in Jets with Neural Networks and: Set2Graph: Learning Graphs From Sets we explore using neural networks for the task of vertex reconstruction.
We use machine learning to seperate overlapping energy deposits in the calorimeter into different particles.