Spectral Biases, Starspot Morphology, and Dynamo Transitions on the Pre-Main Sequence: Insights from the X-Shooter WTTS Library
Facundo P\'erez Paolino, Jeff Bary, Benjamin Horner, Lynne A. Hillenbrand, and Adolfo Carvalho

TL;DR
This study reveals that starspots significantly distort spectral measurements of young stars, leading to biases in derived stellar parameters, and links magnetic field topology changes to stellar evolution during the pre-main sequence phase.
Contribution
We develop two-temperature spectral models that account for starspot effects, improving parameter accuracy and linking magnetic topology shifts to dynamo regime transitions in PMS stars.
Findings
Starspots cause effective temperature overestimates up to 700 K.
Spot-corrected models increase inferred stellar masses by up to 80%.
Magnetic topology shifts correlate with the formation of a radiative core.
Abstract
Starspots are ubiquitous in young, low-mass stars, yet their impact on the spectral classification and fundamental parameter inference of pre-main sequence stars (PMS) has been largely overlooked. In this study, we demonstrate that cool starspots systematically distort spectral morphology and bias the effective temperatures, surface gravities, and luminosities derived for non-accreting Weak-Lined T Tauri Stars (WTTS). Using a sample of 56 WTTS with high-resolution, broad-band X-Shooter spectra, we perform two-temperature spectral fits that explicitly account for spot coverages and temperature contrasts. These composite models consistently outperform traditional single-temperature fits, particularly in the 3350-4000 K regime, where spot contributions dominate the red-optical and near-infrared flux. Moreover, we propose that surface gravity discrepancies between optical and infrared…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
