Parameter inference from event ensembles and the top-quark mass

@article{Flesher2021ParameterIF,
  title={Parameter inference from event ensembles and the top-quark mass},
  author={Forrest Flesher and Katherine Fraser and Charles Hutchison and Bryan Ostdiek and Matthew D. Schwartz},
  journal={Journal of High Energy Physics},
  year={2021}
}
Abstract One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many parameters. Sometimes, when the effects of varying different parameters are highly correlated, a large ensemble of data may be needed to resolve parameter-space degeneracies. An important example is measuring the top-quark mass, where other physical and unphysical parameters in the simulation must be profiled when fitting the top-quark… 
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References

SHOWING 1-10 OF 82 REFERENCES
MadMiner: Machine Learning-Based Inference for Particle Physics
Precision measurements at the LHC often require analyzing high-dimensional event data for subtle kinematic signatures, which is challenging for established analysis methods. Recently, a powerful
Reducing the top quark mass uncertainty with jet grooming
A bstractThe measurement of the top quark mass has large systematic uncertainties coming from the Monte Carlo simulations that are used to match theory and experiment. We explore how much that
Top Quark Mass Calibration for Monte Carlo Event Generators.
TLDR
A calibration procedure is presented to determine the relation between hadron level QCD predictions for observables with kinematic mass sensitivity and the top quark mass of a Monte Carlo event generator.
What Is the Top Quark Mass?
  • A. Hoang
  • Physics
    Annual Review of Nuclear and Particle Science
  • 2020
This review provides an overview of the conceptual issues regarding the interpretation of so-called direct top quark mass measurements, which are based on the kinematic reconstruction of top quark
Simulation assisted likelihood-free anomaly detection
Given the lack of evidence for new particle discoveries at the Large Hadron Collider (LHC), it is critical to broaden the search program. A variety of model-independent searches have been proposed,
Jets from massive unstable particles: Top-mass determination
We construct jet observables for energetic top quarks that can be used to determine a short-distance top quark mass from reconstruction in e+e- collisions with accuracy better than LambdaQCD. Using a
Calibration of the Top-Quark Monte Carlo Mass.
TLDR
A simultaneous fit of m_{t}^{MC} and an observable sensitive to m_t is proposed, which does not rely on any prior assumptions about the relation between m_{ t} and m-MC, and can be used subsequently for a determination of m-t.
Study of Monte Carlo approach to experimental uncertainty propagation with MSTW 2008 PDFs
A bstractWe investigate the Monte Carlo approach to propagation of experimental uncertainties within the context of the established “MSTW 2008” global analysis of parton distribution functions (PDFs)
Neural networks for full phase-space reweighting and parameter tuning
Precise scientific analysis in collider-based particle physics is possible because of complex simulations that connect fundamental theories to observable quantities. The significant computational
Telescoping jets: Probing hadronic event structure with multiple R's
Jets at high energy colliders are complicated objects to identify. Even if jets are widely separated, there is no reason for jets to have the same size. A single reconstruction, or interpretation, of
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5
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