Kayla Leonard DeHolton
Research
- Co-convener of the Oscillations Working Group in IceCube
- Neutrino oscillations with IceCube DeepCore and the IceCube Upgrade
- Machine learning applications for neutrino telescopes
Teaching
- Physics Instructor for Millennium Scholars Summer Bridge Program
Education
- Ph.D. University of Wisconsin -- Madison
- M.A. University of Wisconsin -- Madison
- B.S. The University of Texas at Austin
Publications
Selected Recent Publications:
- "Measurement of Atmospheric Neutrino Oscillation Parameters using Convolutional Neural Networks with 9.3 years of data in IceCube DeepCore" Submitted to journal. arXiv:2405.02163
- "Measurement of Atmospheric Neutrino Mixing with Improved IceCube DeepCore Calibration and Data Processing'' PRD 108, 012014 (2023). arXiv:2304.12236
- "GraphNeT: Graph neural networks for neutrino telescope event reconstruction'' Journal of Open Source Software, 8(85), 4971
-
"Low Energy Event Reconstruction in IceCube DeepCore'' EPJ-C 82, 807 (2022). arXiv:2203.02303
Selected Recent Conference Proceedings:
- "Sensitivity of the IceCube Upgrade to Atmospheric Neutrino Oscillations'' PoS(ICRC2023)1036. arXiv:2307.15295
- "Atmospheric Neutrino Oscillations with 8 years of data from IceCube DeepCore'' PoS(NuFact2021)062
-
"Low energy event classification in IceCube using boosted decision trees'' VLVnT 2021 JINST 16 C12007