37 citations · 136 across the 17 of their papers we have counts for
18 papers
Charge-Carrier transport simulations in diamond detectors with electric-field-dependent mobility and charge-collection-distance-based trapping
Faiz Rahman Ishaqzai, Muhammed Deniz, Marta Baselga +4
Diamond detectors are attractive for operation in harsh radiation environments because they combine radiation tolerance, fast signal formation, and low leakage current. Realistic d…
Beyond Universality: Probing Lepton Flavor in the SMEFT
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
We present a global analysis of lepton-flavor-specific operators in the Standard Model Effective Field Theory (SMEFT), combining data from collider and flavor physics experiments.…
Road map for the tuning of hadronic interaction models with accelerator-based and astroparticle data
Johannes Albrecht, Julia Becker Tjus, Noah Behling +52
In high-energy and astroparticle physics, event generators play an essential role, even in the simplest data analyses. As analysis techniques become more sophisticated, e.g. based…
Improving Air Shower Simulations by Tuning Pythia 8/Angantyr with Accelerator Data
Michael Windau, Chloé Gaudu, Karl-Heinz Kampert +1
We present a combined analysis of the Pythia 8 event generator using accelerator data and evaluate its impact on air shower observables. Reliable simulations with event generators…
ECFA Higgs, electroweak, and top Factory Study
H. Abidi, J. A. Aguilar-Saavedra, S. Airen +373
The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing togeth…
Prompt and Conventional High-Energy Muon Spectra from a full Monte Carlo Simulation via
Ludwig Neste, Pascal Gutjahr, Mirco Hünnefeld +6
Extensive air showers produce high-energy muons that can be utilized to probe hadronic interaction models in cosmic ray interactions. Most muons originate from pion and kaon decays…
MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms
Zeyu Ding, Cornelius Grunwald, Katja Ickstadt +2
In this paper, we present MCBench, a benchmark suite designed to assess the quality of Monte Carlo (MC) samples. The benchmark suite enables quantitative comparisons of samples by…
Characterization, Simulation and Test Beam Data Analysis of Stitched Passive CMOS Strip Sensors
I. Zatocilova, J. -H. Arling, M. Baselga +19
In the passive CMOS Strips Project, strip sensors were designed at the University of Bonn and produced by LFoundry in 150 nm technology, with an additional backside processing from…
Synergies of Drell-Yan, beauty, top, and Z observables in MFV-SMEFT
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
The Standard Model Effective Field Theory (SMEFT) is a powerful tool to search for new physics in a model-independent way. We explore the synergies arising from different types of…
Synergies of Drell-Yan, top and beauty in global SMEFT fits
Cornelius Grunwald, Gudrun Hiller, Kevin Kröninger +1
We present a global fit of Drell-Yan, top-quark and beauty-physics data in the Standard Model Effective Field Theory framework using the Minimal Flavor Violation ansatz for the qua…
A step towards treatment planning for microbeam radiation therapy: fast peak and valley dose predictions with 3D U-Nets
Florian Mentzel, Micah Barnes, Kevin Kröninger +9
Fast and accurate dose predictions are one of the bottlenecks in treatment planning for microbeam radiation therapy (MRT). In this paper, we propose a machine learning (ML) model b…
Fast and accurate dose predictions for novel radiotherapy treatments in heterogeneous phantoms using conditional 3D-UNet generative adversarial networks
Florian Mentzel, Kevin Kröninger, Michael Lerch +8
Novel radiotherapy techniques like synchrotron X-ray microbeam radiation therapy (MRT), require fast dose distribution predictions that are accurate at the sub-mm level, especially…
Synergies of top and anomalies in SMEFT
Stefan Bißmann, Cornelius Grunwald, Gudrun Hiller +1
We present constraints on Wilson coefficients from a combined fit to data from top-quark and beauty-physics measurements within the Standard Model effective field theory. We consid…
From the Bottom to the Top -- Reconstruction of Events with Deep Learning
Johannes Erdmann, Tim Kallage, Kevin Kröninger +1
The reconstruction of top-quark pair-production () events is a prerequisite for many top-quark measurements. We use a deep neural network, trained with Monte-Carlo simula…
Temperature scaling of reverse current generated in proton irradiated silicon bulk
Felix Wizemann, Andreas Gisen, Kevin Kröninger +1
The value of the scaling parameter of the temperature dependence for current generated in silicon bulk is investigated for highly irradiated devices. Measurements…
Quenching of deduced from the -spectrum shape of Cd measured with the COBRA experiment
Lucas Bodenstein-Dresler, Yingjie Chu, Daniel Gehre +17
A dedicated study of the quenching of the weak axial-vector coupling strength in nuclear processes has been performed by the COBRA collaboration. This investigation is…
Investigation of modified ATLAS pixel implantations after irradiation with neutrons
A. Gisen, S. Altenheiner, C. Gößling +7
The innermost part of the tracking detector of the ATLAS experiment consists mainly of planar n-in-n silicon pixel sensors. During the phase-0 upgrade, the Insertable B-Layer (…
Planar n-in-n quad module prototypes for the ATLAS ITk upgrade at HL-LHC
Andreas Gisen, Silke Altenheiner, Ingo Burmeister +6
In order to meet the requirements of the High Luminosity LHC (HL-LHC), it will be necessary to replace the current tracker of the ATLAS experiment. Therefore, a new all-silicon tra…