24 Result(s)
within
Matthew D. Schwartz
Quantum Field Theories, String Theory
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Article
Open AccessReconstructing S-matrix Phases with Machine Learning
An important element of the S-matrix bootstrap program is the relationship between the modulus of an S-matrix element and its phase. Unitarity relates them by an integral equation. Even in the simplest case of el...
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Open AccessNNLL resummation of Sudakov shoulder logarithms in the heavy jet mass distribution
The heavy jet mass event shape has large perturbative logarithms near the leading order kinematic threshold at ρ ...
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Open AccessConstraints on sequential discontinuities from the geometry of on-shell spaces
We present several classes of constraints on the discontinuities of Feynman integrals that go beyond the Steinmann relations. These constraints follow from a geometric formulation of the Landau equations that ...
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Article
Open AccessProspects for strong coupling measurement at hadron colliders using soft-drop jet mass
We compute the soft-drop jet-mass distribution from pp collisions to NNLL accuracy while including nonperturbative corrections through a field-theory based formalism. Using these calculations, we assess the theor...
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Open AccessChallenges for unsupervised anomaly detection in particle physics
Anomaly detection relies on designing a score to determine whether a particular event is uncharacteristic of a given background distribution. One way to define a score is to use autoencoders, which rely on the...
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Article
Open AccessQuark-gluon backscattering in the Regge limit at one-loop
At small momentum transfer, the quark-gluon scattering cross section dσ/dt has a power-law divergence in the backward scattering region where the outgoing quark is nearly collinear to the incoming gluon. In this ...
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Open AccessParameter inference from event ensembles and the top-quark mass
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...
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Open AccessSequential discontinuities of Feynman integrals and the monodromy group
We generalize the relation between discontinuities of scattering amplitudes and cut diagrams to cover sequential discontinuities (discontinuities of discontinuities) in arbitrary momentum channels. The new rel...
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Open AccessJUNIPR: a framework for unsupervised machine learning in particle physics
In applications of machine learning to particle physics, a persistent challenge is how to go beyond discrimination to learn about the underlying physics. To this end, a powerful tool would be a framework for u...
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Open AccessJet charge and machine learning
Modern machine learning techniques, such as convolutional, recurrent and recursive neural networks, have shown promise for jet substructure at the Large Hadron Collider. For example, they have demonstrated eff...
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Open AccessPileup Mitigation with Machine Learning (PUMML)
Pileup involves the contamination of the energy distribution arising from the primary collision of interest (leading vertex) by radiation from soft collisions (pileup). We develop a new technique for removing ...
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Open AccessReducing the top quark mass uncertainty with jet grooming
The 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 uncertainty can be reduce...
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Open AccessDeep learning in color: towards automated quark/gluon jet discrimination
Artificial intelligence offers the potential to automate challenging data-processing tasks in collider physics. To establish its prospects, we explore to what extent deep learning with convolutional neural net...
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Open AccessPrecision direct photon spectra at high energy and comparison to the 8 TeV ATLAS data
The direct photon spectrum is computed to the highest currently available precision and compared to ATLAS data from 8 TeV collisions at the LHC. The prediction includes threshold resummation at next-to-next-to...
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Open AccessStreamlining resummed QCD calculations using Monte Carlo integration
Some of the most arduous and error-prone aspects of precision resummed calculations are related to the partonic hard process, having nothing to do with the resummation. In particular, interfacing to parton-dis...
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Article
Open AccessFactorization for groomed jet substructure beyond the next-to-leading logarithm
Jet grooming algorithms are widely used in experimental analyses at hadron colliders to remove contaminating radiation from within jets. While the algorithms perform a great service to the experiments, their i...
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Jet sampling: improving event reconstruction through multiple interpretations
The classification of events involving jets as signal-like or background-like can depend strongly on the jet algorithm used and its parameters. This is partly due to the fact that standard jet algorithms yield...
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Quark and gluon jet substructure
Distinguishing quark-initiated jets from gluon-initiated jets has the potential to significantly improve the reach of many beyond-the-standard model searches at the Large Hadron Collider and to provide additio...
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Pure samples of quark and gluon jets at the LHC
Having pure samples of quark and gluon jets would greatly facilitate the study of jet properties and substructure, with many potential standard model and new physics applications. To this end, we consider mult...
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Article
Top condensation as a motivated explanation of the top forward-backward asymmetry
Models of top condensation can provide both a compelling solution to the hierarchy problem as well as an explanation of why the top-quark mass is large. The spectrum of such models, in particular topcolor-assi...
