Kayla DeHolton

Research

• 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 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

   

Additional Publications:

• INSPIRE-HEP