Benchmarking simplified template cross sections in production
arXiv:1908.06980 · doi:10.1007/JHEP11(2019)034
Abstract
Simplified template cross sections define a framework for the measurement and dissemination of kinematic information in Higgs measurements. We benchmark the currently proposed setup in an analysis of dimension-6 effective field theory operators for production. Calculating the Fisher information allows us to quantify the sensitivity of this framework to new physics and study its dependence on phase space. New machine-learning techniques let us compare the simplified template cross section framework to the full, high-dimensional kinematic information. We show that the way in which we truncate the effective theory has a sizable impact on the definition of the optimal simplified template cross sections.
arXiv comment30 pages, 12 figures. Code repository at https://github.com/shomiller/wh-madminer. Version accepted for publication in JHEP
References in corpus (39)
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- An Introduction to PYTHIA 8.2
- DELPHES 3, A modular framework for fast simulation of a generic collider experiment
- Dimension-Six Terms in the Standard Model Lagrangian
- PDF4LHC recommendations for LHC Run II
- The Standard Model as an Effective Field Theory
- Update of the global electroweak fit and constraints on two-Higgs-doublet models
- Updated Global SMEFT Fit to Higgs, Diboson and Electroweak Data
- The SMEFTsim package, theory and tools
- Robust Determination of the Higgs Couplings: Power to the Data
- Constraining Effective Field Theories with Machine Learning
- A Guide to Constraining Effective Field Theories with Machine Learning
- The Gauge-Higgs Legacy of the LHC Run I
- The Gauge-Higgs Legacy of the LHC Run II
- Feynman Rules for the Standard Model Effective Field Theory in -gauges
- HEPData: a repository for high energy physics data
- Electroweak Sector Under Scrutiny: A Combined Analysis of LHC and Electroweak Precision Data
- A global view on the Higgs self-coupling at lepton colliders
- Electroweak Precision Tests in High-Energy Diboson Processes
- The complete HEFT Lagrangian after the LHC Run I
- Diboson Interference Resurrection
- Anomalous Higgs Couplings
- On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
- Better Higgs-CP Tests Through Information Geometry
- Higher dimensional operators and LHC Higgs data : the role of modified kinematics
- Scheming in the SMEFT... and a reparameterization invariance!
- Better Higgs Measurements Through Information Geometry
- Probing Electroweak Precision Physics via boosted Higgs-strahlung at the LHC
- Incorporating doubly resonant data in a global fit of SMEFT parameters to lift flat directions
- Higgs Physics: It ain't over till it's over
- Pushing Higgs Effective Theory over the Edge
- Diboson at the LHC vs LEP
- Mad-Maximized Higgs Pair Analyses
- Exploring SMEFT in VH with Machine Learning
- Maximum Significance at the LHC and Higgs Decays to Muons
- Decoupling Theoretical Uncertainties from Measurements of the Higgs Boson
- The Scikit-HEP Project
- MadMax, or Where Boosted Significances Come From
- Polarisations of the and bosons in the processes and
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