This award investigates a class of stars known as Ap stars, which are chemically peculiar and possess unusually strong magnetic fields. Understanding how these magnetic fields form will provide key insights into how stars evolve and interact over time. Using a large, uniform dataset of infrared spectra, this study will identify and analyze thousands of Ap stars to test whether their magnetic fields may result from stellar mergers. The research will also involve students, offering hands-on research experiences that can inspire future careers in science, technology, engineering, and mathematics (STEM). This award will support the development of a homogeneous and statistically significant catalog of chemically peculiar Ap stars observed by the SDSS/APOGEE survey and to determine their stellar parameters, chemical abundances, magnetic field strengths, and binary properties. The investigators will utilize high-resolution, near-infrared spectra and machine learning techniques to classify Ap stars and to measure their parameters uniformly. Multi-epoch radial velocity measurements will be used to estimate binary fractions and test the hypothesis that Ap stars originate from stellar mergers. Follow-up observations using MIRA facilities will characterize magnetic field strengths through spectral line splitting and analyze variability using TESS light curves. The resulting catalog will be made available to the broader astronomical community. High School and early college student int