Asteroseismic analysis identifies oscillation modes in main-sequence and subgiant stars, enhancing stellar understanding.
Based on 120 and 20 s cadence TESS light curves from Sectors 1 to 75, we perform an asteroseismic analysis of 221 main-sequence and subgiant solar-like oscillators with ν max ≥ 500 μ Hz , including 51 new detections. Using Markov Chain Monte Carlo fitting and autocorrelation-based methods, we measure the global seismic parameters, the frequency at maximum power ν max and the large frequency separation Δ ν , with median relative uncertainties of 2.29% and 1.78%, respectively. We identify individual oscillation modes ( l = 0, 1, 2) and extract their mode frequencies ν nl via peak bagging with the open-source Python package S olarlike P eakbagging . By fitting the folded power spectrum and the asymptotic relation, we derive the asymptotic large frequency separation Δ ν p , the p -mode phase offset ϵ p , and the small frequency separation δν 02 . We then infer stellar masses, radii, and surface gravities using asteroseismic scaling relations with Δ ν correction factors ( f Δ ν ). This valuable sample of oscillating main-sequence and subgiant stars will broaden our understanding of the stellar fundamental physical processes.
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Li et al. (2026) studied this question.
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