Günter Quast

Professor

Karlsruhe Institute of Technology

Germany

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Professor Günter Quast is a faculty member at the Karlsruhe Institute of Technology, Germany. His research areas include optimal statistical inference using neural networks, particle physics with a focus on Higgs boson decay analysis, and the utilization of high-performance computing resources for high-energy physics analyses. He is actively involved in enhancing computing infrastructure through the setup and commissioning of advanced analysis clusters.

Articles (5)

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Eileen Kühn

Karlsruhe Institute of Technology

GERMANY

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Max Fischer

Karlsruhe Institute of Technology

GERMANY

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Günter Quast

Research Interests

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Articles (5)

Optimal Statistical Inference in the Presence of Systematic Uncertainties Using Neural Network Optimization Based on Binned Poisson Likelihoods with Nuisance Parameters

Search for a heavy Higgs boson decaying into two lighter Higgs bosons in the ττbb final state at 13 TeV

Opportunistic transparent extension of a WLCG Tier 2 center using HPC resources

HEP Analyses on Dynamically Allocated Opportunistic Computing Resources

Setup and commissioning of a high-throughput analysis cluster

Collaborators (2)

Eileen Kühn

Max Fischer

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