Abstract
Effective field theory techniques provide us important tools to probe for physics beyond the Standard Model in a relatively model-independent way. In this work, we revisit the CP-even dimension-6 purely gluonic operator to investigate the possible constraints on it by studying its effect on top-pair production at the LHC, in particular the high $p_T$ and $m_{t\bar{t}}$ tails of the distribution. Cut-based analysis reveals that the scale of New Physics when this operator alone contributes to the production process is greater than 3.4 TeV at 95% C.L., which is a much stronger bound compared to the bound of 850 GeV obtained from Run-I data using the same channel. This is reinforced by an analysis using Machine Learning techniques. Our study complements similar studies that have focussed on other collider channels to study this operator.
Highlights
The Standard Model (SM) has been put through great scrutiny by several collider experiments, like LEP, the Tevatron, Belle, BABAR and the LHC
Cut-based analysis reveals that the scale of new physics when this operator alone contributes to the production process is greater than 3.6 TeV at 95% C.L., which is a much stronger bound compared to the bound of 850 GeV obtained from Run-I data using the same channel
The events are binned in the eight bins formed by the pTðthÞ and mtt variables, arranged in a 2 × 4 matrix and this helps us construct the inputs to the convolutional neural Nnetwork (CNN)
Summary
The Standard Model (SM) has been put through great scrutiny by several collider experiments, like LEP, the Tevatron, Belle, BABAR and the LHC. Ðs; ˆt; u Þ are Mandelstam variables created using the momenta of the initial state gluons and final state top quarks These expressions can be used to calculate the parton-level differential cross section with respect to the invariant mass of the top pair (mtt). The reference provides unfolded distributions of various kinematic variables, like those of pT and mtt among others, in terms of parton level top quarks This involves reconstruction of the final state and unfolding of the obtained data. Jets arising from hard partons at the matrix level) in the final state is expected to change the differential cross-section distributions.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
