Better Radial velocities from Stellar Spectroscopy via Machine Learning
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Updated
Dec 7, 2024 - Julia
Better Radial velocities from Stellar Spectroscopy via Machine Learning
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The goal of this project is to demonstrate how anyone, even those without any prior astronomical knowledge, can learn about the study of star variability using the well-known method of "light curves" inspection in a virtual reality environment.
Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML
SDO Data Analysis for CLV
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