Balthasar Schachtner

most citedSearch for heavy charged long-lived particles in the ATLAS detector in 36.1 fb

^{- 1}

of proton-proton collision data at

s = 13

TeV

127 citations · 213 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2023

Pooling techniques in hybrid quantum-classical convolutional neural networks

Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl +4

Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can prov…

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★ 127 cited

Search for heavy charged long-lived particles in the ATLAS detector in 36.1 fb $^{- 1}$ of proton-proton collision data at $s = 13$ TeV

ATLAS Collaboration

A search for heavy charged long-lived particles is performed using a data sample of 36.1 fb $^{- 1}$ of proton-proton collisions at $s = 13$ TeV collected by the ATLAS experim…

Pooling techniques in hybrid quantum-classical convolutional neural networks

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 charged long-lived particles in the ATLAS detector in 36.1 fb−1 of proton-proton collision data at s​=13 TeV

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 charged long-lived particles in the ATLAS detector in 36.1 fb $^{- 1}$ of proton-proton collision data at $s = 13$ TeV