Simplified Models for LHC New Physics Searches
Daniele Alves, Nima Arkani-Hamed, Sanjay Arora, Yang Bai, Matthew, Baumgart, Joshua Berger, Matthew Buckley, Bart Butler, Spencer Chang,, Hsin-Chia Cheng, Clifford Cheung, R. Sekhar Chivukula, Won Sang Cho, Randy, Cotta, Mariarosaria D'Alfonso, Sonia El Hedri

TL;DR
This paper introduces simplified models for LHC new physics searches, providing a framework that links theoretical parameters to collider observables, aiding in the design and interpretation of experimental results, especially for early data.
Contribution
It formalizes the use of simplified models with effective Lagrangians for LHC searches, encouraging their broader adoption by ATLAS and CMS to improve new physics characterization.
Findings
Defines simplified models with effective Lagrangians and key parameters.
Provides a set of representative models for early LHC data analysis.
Summarizes workshop results and offers future development suggestions.
Abstract
This document proposes a collection of simplified models relevant to the design of new-physics searches at the LHC and the characterization of their results. Both ATLAS and CMS have already presented some results in terms of simplified models, and we encourage them to continue and expand this effort, which supplements both signature-based results and benchmark model interpretations. A simplified model is defined by an effective Lagrangian describing the interactions of a small number of new particles. Simplified models can equally well be described by a small number of masses and cross-sections. These parameters are directly related to collider physics observables, making simplified models a particularly effective framework for evaluating searches and a useful starting point for characterizing positive signals of new physics. This document serves as an official summary of the results…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
