TooLQit: Leptoquark Models and Limits
Arvind Bhaskar, Yash Chaurasia, Arijit Das, Atirek Kumar, Tanumoy, Mandal, Subhadip Mitra, Cyrin Neeraj, and Rachit Sharma

TL;DR
The paper presents TooLQit, a comprehensive toolkit for modeling leptoquarks and testing their parameter spaces against LHC dilepton search limits, facilitating new physics exploration.
Contribution
It introduces the TooLQit toolkit with models and a calculator for evaluating leptoquark constraints, including implementation details and example analyses.
Findings
LHC limits on leptoquark couplings are calculated for masses 1-5 TeV.
The toolkit enables simultaneous multi-coupling analysis.
Illustrative scans demonstrate the toolkit's application.
Abstract
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 parameter points are allowed by the LHC dilepton searches. The models include electroweak gauge interactions of the LQs and follow a set of intuitive notations. Currently, CaLQ can calculate the LHC limits on LQ ( and ) couplings (one or more simultaneously) for any mass between and TeV using a method. In this manual for TooLQit, we describe the FeynRules models and discuss the techniques used in CaLQ. We outline the workflow to check parameter spaces of LQ models with an example. We show some illustrative scans for one- and multi-coupling scenarios for the vector LQ. The TooLQit code is available at https://github.com/rsrchtsm/TooLQit
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Database Systems and Queries · Semantic Web and Ontologies
