Andreas Adelmann
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View article: IsoDAR@Yemilab: Preliminary design report—volume II (beam transport, neutrino source, and shielding)
IsoDAR@Yemilab: Preliminary design report—volume II (beam transport, neutrino source, and shielding) Open
This Preliminary Design Report (PDR) describes the IsoDAR electron-antineutrino source in two volumes which are mostly site-independent and describe the cyclotron driver providing a 60 MeV, 10 mA proton beam (Volume I); and the Medium Ener…
View article: IsoDAR@Yemilab: Preliminary design report—volume I (cyclotron driver)
IsoDAR@Yemilab: Preliminary design report—volume I (cyclotron driver) Open
This Preliminary Design Report (PDR) describes the IsoDAR electron-antineutrino source in two volumes which are mostly site-independent and describe the cyclotron driver providing a 10 mA/60 MeV proton beam (this Volume); and the medium en…
View article: IsoDAR@Yemilab: Preliminary Design Report -- Volume II: Medium Energy Beam Transport, Neutrino Source, and Shielding
IsoDAR@Yemilab: Preliminary Design Report -- Volume II: Medium Energy Beam Transport, Neutrino Source, and Shielding Open
This Preliminary Design Report (PDR) describes the IsoDAR electron-antineutrino source in two volumes which are mostly site-independent and describe the cyclotron driver providing a 60 MeV, 10 mA proton beam (Volume I); and the medium ener…
View article: A Massively Parallel Performance Portable Free-Space Spectral Poisson Solver
A Massively Parallel Performance Portable Free-Space Spectral Poisson Solver Open
Vico et al. suggest a fast algorithm for computing volume potentials, beneficial to fields with problems requiring the solution of the free-space Poisson’s equation, such as beam and plasma physics. Currently, the standard is the algorithm…
View article: A compact frozen-spin trap for the search for the electric dipole moment of the muon
A compact frozen-spin trap for the search for the electric dipole moment of the muon Open
Electric dipole moments (EDM) of fundamental particles inherently violate time-reversal (T) and the combined charge-conjugation and parity symmetry (CP). We aim to measure the EDM of the muon using the frozen-spin technique within a compac…
View article: Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification
Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification Open
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Carlo and surrogate-modelling. The former method is dimension…
View article: Uncertainty quantification of spent nuclear fuel with multifidelity Monte Carlo
Uncertainty quantification of spent nuclear fuel with multifidelity Monte Carlo Open
View article: GAMBAS -- Fast Beam Arrangement Selection for Proton Therapy using a Nearest Neighbour Model
GAMBAS -- Fast Beam Arrangement Selection for Proton Therapy using a Nearest Neighbour Model Open
Purpose: Beam angle selection is critical in proton therapy treatment planning, yet automated approaches remain underexplored. This study presents and evaluates GAMBAS, a novel, fast machine learning model for automatic beam angle selectio…
View article: JulianA.jl -- A Julia package for radiotherapy
JulianA.jl -- A Julia package for radiotherapy Open
The importance of computers is continually increasing in radiotherapy. Efficient algorithms, implementations and the ability to leverage advancements in computer science are crucial to improve cancer care even further and deliver the best …
View article: Measurement of 238U muonic x-rays with a germanium detector setup
Measurement of 238U muonic x-rays with a germanium detector setup Open
In the field of nuclear non-proliferation muon interactions with materials are of great interest. This paper describes an experiment conducted at the Paul Scherrer Institut (PSI) in Switzerland where a muon beam is stopped in a uranium tar…
View article: Uncertainty Quantification of Spent Nuclear Fuel with Multifidelity Monte Carlo
Uncertainty Quantification of Spent Nuclear Fuel with Multifidelity Monte Carlo Open
View article: Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures Open
We perform a scaling and performance portability study of the particle-in-cell scheme for plasma physics applications through a set of mini-apps we name "Alpine", which can make use of exascale computing capabilities. The mini-apps are bas…
View article: Fast uncertainty quantification of spent nuclear fuel with neural networks
Fast uncertainty quantification of spent nuclear fuel with neural networks Open
The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainability of nuclear energy production, waste management, and nucle…
View article: Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification Open
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Carlo and surrogate-modelling. The former method is dimension…
View article: Uncertainty Quantification on Spent Nuclear Fuel with LMC
Uncertainty Quantification on Spent Nuclear Fuel with LMC Open
The recently developed method Lasso Monte Carlo (LMC) for uncertainty quantification is applied to the characterisation of spent nuclear fuel. The propagation of nuclear data uncertainties to the output of calculations is an often required…
View article: Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study
Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study Open
Background Previous research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches have not been adopted…
View article: Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks Open
The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainability of nuclear energy production, waste management, and nucle…
View article: JulianA: An automatic treatment planning platform for intensity-modulated proton therapy and its application to intra- and extracerebral neoplasms
JulianA: An automatic treatment planning platform for intensity-modulated proton therapy and its application to intra- and extracerebral neoplasms Open
Creating high quality treatment plans is crucial for a successful radiotherapy treatment. However, it demands substantial effort and special training for dosimetrists. Existing automated treatment planning systems typically require either …
View article: High-power Fixed-Field Accelerators
High-power Fixed-Field Accelerators Open
We report the state of the field of High-Power Fixed-Field Accelerators (with an emphasis on cyclotrons) as discussed by international experts during a three-day workshop of the same name in 2021. The workshop was part of the Snowmass'21 C…
View article: Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression Open
Unforeseen particle accelerator interruptions, also known as interlocks, lead to abrupt operational changes despite being necessary safety measures. These may result in substantial loss of beam time and perhaps even equipment damage. We pr…
View article: Computational models for high-power cyclotrons and FFAs
Computational models for high-power cyclotrons and FFAs Open
A summary of numerical modeling capabilities regarding high power cyclotrons and fixed field alternating gradient machines is presented. This paper focuses on techniques made available by the OPAL simulation code.
View article: Time series forecasting methods and their applications to particle accelerators
Time series forecasting methods and their applications to particle accelerators Open
Particle accelerators are complex facilities that produce large amounts of structured data and have clear optimization goals as well as precisely defined control requirements. As such they are naturally amenable to data-driven research met…
View article: Computational Models for High-Power Cyclotrons and FFAs
Computational Models for High-Power Cyclotrons and FFAs Open
A summary of numerical modeling capabilities regarding high power cyclotrons and fixed field alternating gradient machines is presented. This paper focuses on techniques made available by the OPAL simulation code.
View article: Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks Open
View article: muEDM: Towards a Search for the Muon Electric Dipole Moment at PSI Using the Frozen-spin Technique
muEDM: Towards a Search for the Muon Electric Dipole Moment at PSI Using the Frozen-spin Technique Open
The search for a permanent electric dipole moment (EDM) of the muon is an excellent probe for physics beyond the Standard Model of particle physics. We propose the first dedicated muon EDM search employing the frozen-spin technique at the …
View article: Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification Open
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Carlo and surrogate-modelling. The former method is dimension…
View article: Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators Open
Particle accelerators are complex facilities that produce large amounts of structured data and have clear optimization goals as well as precisely defined control requirements. As such they are naturally amenable to data-driven research met…
View article: Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study (Preprint)
Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study (Preprint) Open
BACKGROUND Previous research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches have not been adopte…
View article: Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL
Benchmarking collective effects of electron interactions in a wiggler with OPAL-FEL Open
View article: Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures Open
We perform a scaling and performance portability study of the particle-in-cell scheme for plasma physics applications through a set of mini-apps we name "Alpine", which can make use of exascale computing capabilities. The mini-apps are bas…