277 citations · 952 across the 23 of their papers we have counts for
23 papers
Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
M. Rempe, F. Hörst, C. Seibold +7
We present a novel preprocessing and prediction pipeline for the classification of magnetic resonance imaging (MRI) that takes advantage of the information rich complex valued k-Sp…
Characterisation and simulation of stitched CMOS strip sensors
Naomi Davis, Jan-Hendrik Arling, Marta Baselga +20
In high-energy physics, there is a need to investigate alternative silicon sensor concepts that offer cost-efficient, large-area coverage. Sensors based on CMOS imaging technology…
More Synergies from Beauty, Top, and Drell-Yan Measurements in SMEFT
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
We perform a global analysis of Beauty, Top, and Drell-Yan measurements in the framework of the Standard Model effective theory (SMEFT). We work within the minimal flavor viola…
A Bayesian tune of the Herwig Monte Carlo event generator
Salvatore La Cagnina, Kevin Kröninger, Stefan Kluth +1
The optimisation (tuning) of the free parameters of Monte Carlo event generators by comparing their predictions with data is important since the simulations are used to calculate e…
Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations
Florian Mentzel, Jason Paino, Micah Barnes +13
Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinic…
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala +5
Objectives: Present a novel deep learning-based skull stripping algorithm for magnetic resonance imaging (MRI) that works directly in the information rich k-space. Materials and Me…
Characterization of pixelated silicon detectors for daily quality assurance measurements in proton therapy
Isabelle Schilling, Claus Maximillian Bäcker, Christian Bäumer +4
The advanced imaging and delivery techniques in proton therapy allow conformal high-dose irradiation of the target volume with high accuracy using pencil beam scanning or beam shap…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…
Reformulation of a likelihood approach to fake-lepton estimation in the framework of Bayesian inference
Johannes Erdmann, Cornelius Grunwald, Kevin Kröninger +3
Prompt isolated leptons are essential in many analyses in high-energy particle physics but are subject to fake-lepton background, i.e. objects that mimic the lepton signature. The…
The Large Enriched Germanium Experiment for Neutrinoless Double Beta Decay (LEGEND)
LEGEND Collaboration, N. Abgrall, A. Abramov +230
The observation of neutrinoless double-beta decay (0) would show that lepton number is violated, reveal that neutrinos are Majorana particles, and provide information on neutr…
Suppression of alpha-induced lateral surface events in the COBRA experiment using CdZnTe detectors with an instrumented guard-ring electrode
J. -H. Arling, M. Gerhardt, C. Gößling +11
The COBRA collaboration searches for neutrinoless double beta-decay (-decay) using CdZnTe semiconductor detectors with a coplanar-grid readout and a surrounding guard-ring st…
EFTfitter---A tool for interpreting measurements in the context of effective field theories
Nuno Castro, Johannes Erdmann, Cornelius Grunwald +2
Over the past years, the interpretation of measurements in the context of effective field theories has attracted much attention in the field of particle physics. We present a tool…
The Dortmund Low Background Facility - Low-Background Gamma Ray Spectrometry with an Artificial Overburden
Holger Gastrich, Claus Gößling, Reiner Klingenberg +5
High-purity germanium (HPGe) detectors used for low-background gamma ray spectrometry are usually operated under either a fairly low overburden of the order of one meter of water e…
Results of a search for neutrinoless double-beta decay using the COBRA demonstrator
Joachim Ebert, Matthew Fritts, Daniel Gehre +18
Neutrinoless double- decay ( decay) is a hypothetical process that can occur if the neutrino is its own antiparticle. The COBRA collaboration operates a demonstrator to se…
Characterization of a large CdZnTe coplanar quad-grid semiconductor detector
J. Ebert, D. Gehre, C. Gößling +17
The COBRA collaboration aims to search for neutrinoless double beta-decay of Cd. A demonstrator setup with 64 CdZnTe semiconductor detectors, each with a volume of 1cm,…
Long-Term Stability of Underground Operated CZT Detectors Based on the Analysis of Intrinsic Cd β-Decay
J. Ebert, C. Goessling, D. Gehre +17
The COBRA collaboration operates a demonstrator setup at the underground facility LNGS (Laboratori Nazionali del Gran Sasso, located in Italy) to prove the technological capabiliti…
The COBRA demonstrator at the LNGS underground laboratory
The COBRA collaboration, J. Ebert, M. Fritts +28
The COBRA demonstrator, a prototype for a large-scale experiment searching for neutrinoless double beta-decay, was built at the underground laboratory Laboratori Nazionali del Gran…
Top-Quark Physics at the LHC
Kevin Kröninger, Andreas B. Meyer, Peter Uwer
The top quark is the heaviest of all known elementary particles. It was discovered in 1995 by the CDF and D0 experiments at the Tevatron. With the start of the LHC in 2009, an unpr…
Objective Bayesian analysis of counting experiments with correlated sources of background
Diego Casadei, Cornelius Grunwald, Kevin Kröninger +1
Searches for faint signals in counting experiments are often encountered in particle physics and astrophysics, as well as in other fields. Many problems can be reduced to the case…
(MC)**3 -- a Multi-Channel Markov Chain Monte Carlo algorithm for phase-space sampling
Kevin Kroeninger, Steffen Schumann, Benjamin Willenberg
A new Monte Carlo algorithm for phase-space sampling, named (MC)**3, is presented. It is based on Markov Chain Monte Carlo techniques but at the same time incorporates prior knowle…
A likelihood-based reconstruction algorithm for top-quark pairs and the KLFitter framework
Johannes Erdmann, Stefan Guindon, Kevin Kroeninger +4
A likelihood-based reconstruction algorithm for arbitrary event topologies is introduced and, as an example, applied to the single-lepton decay mode of top-quark pair production. T…
The MGDO software library for data analysis in Ge neutrinoless double-beta decay experiments
M. Agostini, J. A. Detwiler, P. Finnerty +10
The GERDA and Majorana experiments will search for neutrinoless double-beta decay of germanium-76 using isotopically enriched high-purity germanium detectors. Although the experime…
BAT - The Bayesian Analysis Toolkit
Allen Caldwell, Daniel Kollar, Kevin Kroeninger
We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This give…