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20122026
most citedClassification without labels: Learning from mixed samples in high energy physics

297 citations · 1.2k across the 67 of their papers we have counts for

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11 papers · 1 filter

hep-ph2018★ 14 cited

Charm-quark Yukawa Coupling in at LHC

Tao Han, Benjamin Nachman, Xing Wang

It is extremely challenging to probe the charm-quark Yukawa coupling at hadron colliders primarily due to the large Standard Model (SM) background (including ) and th…

hep-ph2018

Leveraging the ALICE/L3 cavern for long-lived exotics

Vladimir V. Gligorov, Simon Knapen, Benjamin Nachman +2

Run 5 of the HL-LHC era (and beyond) may provide new opportunities to search for physics beyond the standard model (BSM) at interaction point 2 (IP2). In particular, taking advanta…

hep-ph2018

Investigating the Topology Dependence of Quark and Gluon Jets

Samuel Bright-Thonney, Benjamin Nachman

As most target final states for searches and measurements at the Large Hadron Collider have a particular quark/gluon composition, tools for distinguishing quark- from gluon-initiat…

hep-ph2018

Boosting with Machine Learning

Joshua Lin, Marat Freytsis, Ian Moult +1

High Higgs production at hadron colliders provides a direct probe of the internal structure of the loop with the decay offering the most statistic…

hep-ph2018

Limits on new coloured fermions using precision jet data from the Large Hadron Collider

Javier Llorente, Benjamin Nachman

This work presents an interpretation of high precision jet data from the ATLAS experiment in terms of exclusion limits for new coloured matter. To this end, the effect of a new col…

hep-ex2018

Electromagnetic Showers Beyond Shower Shapes

Luke de Oliveira, Benjamin Nachman, Michela Paganini

Correctly identifying the nature and properties of outgoing particles from high energy collisions at the Large Hadron Collider is a crucial task for all aspects of data analysis. C…