Empirical Near Infrared colors for low-mass stars and brown dwarfs in the Orion Nebula Cluster
Gaetano Scandariato, Nicola Da Rio, Massimo Robberto, Isabella Pagano,, Keivan Stassun

TL;DR
This study empirically assesses and corrects biases in near-infrared photometry of low-mass pre-main sequence stars in the Orion Nebula Cluster, improving the accuracy of stellar parameter estimations.
Contribution
It provides empirical intrinsic IR colors for young low-mass stars, evaluates synthetic spectral library accuracy, and discusses biases in evolutionary models affecting low-mass star analysis.
Findings
Synthetic JHKs photometry accurate within ~0.2 mag for late spectral types.
Tabulated intrinsic colors for K6-M8.5 spectral types in Orion.
Identified biases in evolutionary models underestimating IR flux at late types.
Abstract
Atmospheric and evolutionary models for low-mass stars rely on approximate assumptions on the physics of the stellar structure and the atmospheric radiative transfer. This leads to biased theoretical predictions on the photospheric Spectral Energy Distributions of Pre-Main Sequence (PMS) stars, and affects the derivation of stellar parameters from photometric data. Our goal is to correct the biases present in the theoretical predictions for the near-IR photometry of low-mass PMS stars. Using empirical intrinsic IR colors, we assess the accuracy of current synthetic spectral libraries and evolutionary models. We consider a sample of ~300 PMS stars in the Orion Nebula Cluster (age 1 Myr) with measured luminosities, temperatures and photospheric JHKs photometry. By analyzing the photospheric colors of our sample of stars, we find that the synthetic JHKs photometry provided by theoretical…
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