detalle del documento
IDENTIFICACIÓN

oai:arXiv.org:2411.12716

Tema
Astrophysics - Solar and Stellar A...
Autor
Paolino, Facundo Pérez Bary, Jeff Hillenbrand, Lynne Markham, Madison Fischer, William
Categoría

ciencias: astrofísica

Año

2024

fecha de cotización

27/11/2024

Palabras clave
stellar continuum excess stars
Métrico

Resumen

An accurate estimation of the continuum excess emission from accretion spots and inner circumstellar disk regions is crucial for a proper derivation of fundamental stellar parameters in accreting systems.

However, the presence of starspots can make disentangling the complicated multi-component emission in these systems challenging.

Subtraction of a single-temperature spectral template is insufficient to account for the composite stellar emission, as we demonstrated in a recent campaign involving Weak-Lined T Tauri Stars.

Here, we model the moderate resolution near-infrared spectra of Classical T Tauri Stars, presenting new spectral models that incorporate spotted stars plus emission from accretion hot-spots and a warm inner disk, allowing us to simultaneously reconstruct the entire 0.8-2.4 micrometer spectrum of our sixteen targets.

Using these models, we re-derive the continuum excess emission.

Our results indicate that accounting for starspots resolves the need to include a previously proposed intermediate temperature component in the IYJ excess, and highlights the importance of a proper treatment of starspots in studies of accreting low-mass stars.

;Comment: Accepted for publication in ApJ

Paolino, Facundo Pérez,Bary, Jeff,Hillenbrand, Lynne,Markham, Madison,Fischer, William, 2024, Starspots as an Explanation for the Mysterious IYJ Continuum Excess Emission in Classical T Tauri Stars

Documento

Abrir

Compartir

Fuente

Artículos recomendados por ES/IODE IA

Diagnostic reliability of chest CT qualitative and quantitative assessment to predict survival and morbidity in oncology patients with COVID-19 infection
covid-19 chest ct oncology patients cancer status pulmonary analysis versus cancer infection patients covid-19 oncology using ct chest statistically tss