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Daniel Winklehner

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • physics.acc-ph2
  • hep-ex1
ORCID 0000-0002-0715-6310

identity via Semantic Scholar / OpenAlex

most citedInput Beam Matching and Beam Dynamics Design Optimization of the IsoDAR RFQ using Statistical and Machine Learning Techniques

4 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

hep-ex2023★ 2 cited

Physics Potential of a Few Kiloton Scale Neutrino Detector at a Deep Underground Lab in Korea

Seon-Hee Seo, Jose Alonso, Pouya Bakhti +14

The demand for underground labs for neutrino and rare event search experiments has been increasing over the last few decades. Yemilab, constructed in October 2022, is the first dee…

physics.acc-ph2023★ 2 cited

Enabling a Multi-Purpose High-Energy Neutron Source Based on High-Current Compact Cyclotrons

Lance L Snead, Daniel Winklehner, Dennis Whyte +3

The current and future need for high-energy neutrons has been a subject of increasing discussion and concern. Immediate applications for such an intense neutron source include medi…

physics.acc-ph2021★ 4 cited

Input Beam Matching and Beam Dynamics Design Optimization of the IsoDAR RFQ using Statistical and Machine Learning Techniques

Daniel Koser, Loyd Waites, Daniel Winklehner +3

We present a novel machine learning-based approach to generate fast-executing virtual radiofrequency quadrupole (RFQ) particle accelerators using surrogate modelling. These could p…

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