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Title: MARMOSET: The Path from LHC Data to the New Standard Model via On-Shell Effective Theories

Abstract

We describe a coherent strategy and set of tools for reconstructing the fundamental theory of the TeV scale from LHC data. We show that On-Shell Effective Theories (OSETs) effectively characterize hadron collider data in terms of masses, production cross sections, and decay modes of candidate new particles. An OSET description of the data strongly constrains the underlying new physics, and sharply motivates the construction of its Lagrangian. Simulating OSETs allows efficient analysis of new-physics signals, especially when they arise from complicated production and decay topologies. To this end, we present MARMOSET, a Monte Carlo tool for simulating the OSET version of essentially any new-physics model. MARMOSET enables rapid testing of theoretical hypotheses suggested by both data and model-building intuition, which together chart a path to the underlying theory. We illustrate this process by working through a number of data challenges, where the most important features of TeV-scale physics are reconstructed with as little as 5 fb{sup -1} of simulated LHC signals.

Authors:
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Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
902546
Report Number(s):
FERMILAB-FN-0800-CD
arXiv eprint number hep-ph/0703088; TRN: US0702978
DOE Contract Number:  
AC02-07CH11359
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; CONSTRUCTION; CROSS SECTIONS; DECAY; HADRONS; LAGRANGIAN FUNCTION; PHYSICS; PRODUCTION; STANDARD MODEL; TESTING; Phenomenology-HEP

Citation Formats

Arkani-Hamed, Nima, Schuster, Philip, Toro, Natalia, /Harvard U., Phys. Dept., Thaler, Jesse, /UC, Berkeley /LBL, Berkeley, Wang, Lian-Tao, /Princeton U., Knuteson, Bruce, /MIT, LNS, Mrenna, Stephen, and /Fermilab. MARMOSET: The Path from LHC Data to the New Standard Model via On-Shell Effective Theories. United States: N. p., 2007. Web. doi:10.2172/902546.
Arkani-Hamed, Nima, Schuster, Philip, Toro, Natalia, /Harvard U., Phys. Dept., Thaler, Jesse, /UC, Berkeley /LBL, Berkeley, Wang, Lian-Tao, /Princeton U., Knuteson, Bruce, /MIT, LNS, Mrenna, Stephen, & /Fermilab. MARMOSET: The Path from LHC Data to the New Standard Model via On-Shell Effective Theories. United States. doi:10.2172/902546.
Arkani-Hamed, Nima, Schuster, Philip, Toro, Natalia, /Harvard U., Phys. Dept., Thaler, Jesse, /UC, Berkeley /LBL, Berkeley, Wang, Lian-Tao, /Princeton U., Knuteson, Bruce, /MIT, LNS, Mrenna, Stephen, and /Fermilab. Thu . "MARMOSET: The Path from LHC Data to the New Standard Model via On-Shell Effective Theories". United States. doi:10.2172/902546. https://www.osti.gov/servlets/purl/902546.
@article{osti_902546,
title = {MARMOSET: The Path from LHC Data to the New Standard Model via On-Shell Effective Theories},
author = {Arkani-Hamed, Nima and Schuster, Philip and Toro, Natalia and /Harvard U., Phys. Dept. and Thaler, Jesse and /UC, Berkeley /LBL, Berkeley and Wang, Lian-Tao and /Princeton U. and Knuteson, Bruce and /MIT, LNS and Mrenna, Stephen and /Fermilab},
abstractNote = {We describe a coherent strategy and set of tools for reconstructing the fundamental theory of the TeV scale from LHC data. We show that On-Shell Effective Theories (OSETs) effectively characterize hadron collider data in terms of masses, production cross sections, and decay modes of candidate new particles. An OSET description of the data strongly constrains the underlying new physics, and sharply motivates the construction of its Lagrangian. Simulating OSETs allows efficient analysis of new-physics signals, especially when they arise from complicated production and decay topologies. To this end, we present MARMOSET, a Monte Carlo tool for simulating the OSET version of essentially any new-physics model. MARMOSET enables rapid testing of theoretical hypotheses suggested by both data and model-building intuition, which together chart a path to the underlying theory. We illustrate this process by working through a number of data challenges, where the most important features of TeV-scale physics are reconstructed with as little as 5 fb{sup -1} of simulated LHC signals.},
doi = {10.2172/902546},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Mar 01 00:00:00 EST 2007},
month = {Thu Mar 01 00:00:00 EST 2007}
}

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