M. Pettee

most citedConstraints on mediator-based dark matter and scalar dark energy models using

s = 13

TeV

pp

collision data collected by the ATLAS detector

86 citations · 153 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 7 cited

Beyond Imitation: Generative and Variational Choreography via Machine Learning

Mariel Pettee, Chase Shimmin, Douglas Duhaime +1

Our team of dance artists, physicists, and machine learning researchers has collectively developed several original, configurable machine-learning tools to generate novel sequences…

hep-ex2019★ 86 cited

Constraints on mediator-based dark matter and scalar dark energy models using $s = 13$ TeV $pp$ collision data collected by the ATLAS detector

ATLAS Collaboration

Constraints on selected mediator-based dark matter models and a scalar dark energy model using up to $37 fb^{- 1}$ $s = 13$ TeV $pp$ collision data collected by the A…

hep-ex2019★ 60 cited

Search for heavy particles decaying into a top-quark pair in the fully hadronic final state in $pp$ collisions at $s = 13$ TeV with the ATLAS detector

ATLAS Collaboration

A search for new particles decaying into a pair of top quarks is performed using proton-proton collision data recorded with the ATLAS detector at the Large Hadron Collider at a cen…

Beyond Imitation: Generative and Variational Choreography via Machine Learning

Constraints on mediator-based dark matter and scalar dark energy models using s​=13 TeV pp collision data collected by the ATLAS detector

Search for heavy particles decaying into a top-quark pair in the fully hadronic final state in pp collisions at s​=13 TeV with the ATLAS detector

Constraints on mediator-based dark matter and scalar dark energy models using $s = 13$ TeV $pp$ collision data collected by the ATLAS detector

Search for heavy particles decaying into a top-quark pair in the fully hadronic final state in $pp$ collisions at $s = 13$ TeV with the ATLAS detector