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Jet sampling: improving event reconstruction through multiple interpretations

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  1. Article

    Open Access

    Reconstructing 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...

    Aurélien Dersy, Matthew D. Schwartz, Alexander Zhiboedov in Journal of High Energy Physics (2024)

  2. Article

    Open Access

    NNLL 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 ...

    Arindam Bhattacharya, Johannes K. L. Michel in Journal of High Energy Physics (2023)

  3. Article

    Open Access

    Constraints 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 ...

    Holmfridur S. Hannesdottir, Andrew J. McLeod in Journal of High Energy Physics (2023)

  4. Article

    Open Access

    Prospects 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...

    Holmfridur S. Hannesdottir, Aditya Pathak in Journal of High Energy Physics (2023)

  5. Article

    Open Access

    Challenges 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...

    Katherine Fraser, Samuel Homiller, Rashmish K. Mishra in Journal of High Energy Physics (2022)

  6. Article

    Open Access

    Quark-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 ...

    Arindam Bhattacharya, Aneesh V. Manohar in Journal of High Energy Physics (2022)

  7. Article

    Open Access

    Parameter 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...

    Forrest Flesher, Katherine Fraser, Charles Hutchison in Journal of High Energy Physics (2021)

  8. Article

    Open Access

    Sequential 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...

    Jacob L. Bourjaily, Holmfridur Hannesdottir in Journal of High Energy Physics (2021)

  9. Article

    Open Access

    JUNIPR: 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...

    Anders Andreassen, Ilya Feige, Christopher Frye in The European Physical Journal C (2019)

  10. Article

    Open Access

    Jet 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...

    Katherine Fraser, Matthew D. Schwartz in Journal of High Energy Physics (2018)

  11. Article

    Open Access

    Pileup 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 ...

    Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman in Journal of High Energy Physics (2017)

  12. Article

    Open Access

    Reducing 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...

    Anders Andreassen, Matthew D. Schwartz in Journal of High Energy Physics (2017)

  13. Article

    Open Access

    Deep 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...

    Patrick T. Komiske, Eric M. Metodiev, Matthew D. Schwartz in Journal of High Energy Physics (2017)

  14. Article

    Open Access

    Precision 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...

    Matthew D. Schwartz in Journal of High Energy Physics (2016)

  15. Article

    Open Access

    Streamlining 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...

    David Farhi, Ilya Feige, Marat Freytsis in Journal of High Energy Physics (2016)

  16. Article

    Open Access

    Factorization 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...

    Christopher Frye, Andrew J. Larkoski, Matthew D. Schwartz in Journal of High Energy Physics (2016)