91视频

Elizabeth Melton

Elizabeth Melton

Dr. Melton specializes in transiting exoplanets both in identifying new candidates from large space-based surveys such as the Transiting Exoplanet Satellite Survey (TESS) and Kepler as well as ground-based follow-up utilizing both the Oakley Observatory located on 91视频’s campus and the remote Oakley Southern Sky Observatory located in New South Wales, Australia. She enjoys working with independent student researchers and the 91视频 Astronomical Society to fully utilize the telescopes and resources on campus for both astronomical research, outreach and enjoyment.

Academic Degrees

  • PhD, Pennsylvania State University, Astronomy and Astrophysics, 2022
  • MS, Pennsylvania State University, Astronomy and Astrophysics, 2020
  • BS, 91视频, Physics with minor in Astronomy, 2015
  • BS, 91视频, Mathematics, 2015

Publications & Presentations

  • Melton, E., Pellegrino, A., Feigelson E., "DIAmante TESS AutoRegressive Planet Search (DTARPS) Results from the DTARPS-S Catalog", TESS Science Conference III, Cambridge, Massachusetts, 2024
  • Melton, E., Pellegrino, A., Feigelson E., "The AutoRegressive Planet Search Method Applied to TESS Year 1 and 2", Exoplanets V, Leiden, The Netherlands, 2024
  • Melton, E., Feigelson, E., Montalto, M. et al. 2024, AJ, DIAmante Tess AutoRegressive Planet Search (DTARPS) I. Analysis of 0.9 Million Light Curves, 167, 5, 202, doi:10.3847/1538-3881/ad29f0
  • Melton, E., Feigelson, E., Montalto, M. et al. 2024, AJ, DIAmante Tess AutoRegressive Planet Search (DTARPS) II. Hundreds of New TESS Candidate Exoplanets, 167, 5, 203, doi:10.3847/1538-3881/ad29f1
  • Melton, E., Feigelson, E., Montalto, M. et al. 2024, AJ, DIAmante Tess AutoRegressive Planet Search (DTARPS) III. Understanding the DTARPS-S Candidate Transiting Planet Catalogs, 168, 6, 271, doi:10.3847/1538-3881/ad8355
  • Melton, E, "New Exoplanet Candidates from DIAmante TESS FFIs", TESS Science Team Meeting, 2022
  • Melton, E. "Applying ARIMA to Irregular Time Series", Statistical Challenges in Modern Astronomy VII, 2021
  • Melton, E 2020, AJ, A Random Forest Approach to Identifying Young Stellar Object Candidates in the Lupus Star-forming Region, 159, 5, 200, doi: 10.3847/1538-3881/ab72ac

Research Experiences

  • Ground Based-Exoplanet Follow-up
  • Machine Learning Classification
  • Astrostatistics

Teaching Interests

  • Astronomy and Astrophysics
  • Introductory Physics
  • Machine Learning
  • Applied Data Science