Abstract
Herbig Ae/Be stars (HAeBes) span a key mass range that links low- and high-mass stars, and thus provide an ideal window from which to explore their formation. This paper presents Very Large Telescope/X-shooter spectra of 91 HAeBes, the largest spectroscopic study of HAeBe accretion to date. A homogeneous approach to determining stellar parameters is undertaken for the majority of the sample. Measurements of the ultraviolet are modelled within the context of magnetospheric accretion, allowing a direct determination of mass accretion rates. Multiple correlations are observed across the sample between accretion and stellar properties: the youngest and often most massive stars are the strongest accretors, and there is an almost 1:1 relationship between the accretion luminosity and stellar luminosity. Despite these overall trends of increased accretion rates in HAeBes when compared to classical T Tauri stars, we also find noticeable differences in correlations when considering the Herbig Ae and Herbig Be subsets. This, combined with the difficulty in applying a magnetospheric accretion model to some of the Herbig Be stars, could suggest that another form of accretion may be occurring within Herbig Be mass range
Original language | English |
---|---|
Pages (from-to) | 976-1001 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 453 |
Issue number | 1 |
Early online date | 22 Aug 2015 |
DOIs | |
Publication status | Published - 11 Oct 2015 |
Keywords
- Accretion, accretion discs
- Techniques: spectroscopic
- Stars: early-type
- Stars: formation
- Stars: pre-main-sequence
- Stars: variables: T Tauri, Herbig Ae/Be
Fingerprint
Dive into the research topics of 'A spectroscopic survey of Herbig Ae/Be stars with X-shooter - I. Stellar parameters and accretion rates'. Together they form a unique fingerprint.Datasets
-
Herbig Ae/Be X-shooter observations (Fairlamb+, 2015)
Fairlamb, J. R. (Creator), Oudmaijer, R. D. (Creator), Mendigutía, I. (Creator) & Ilee, J. D. (Creator), Strasbourg astronomical Data Center, 11 Oct 2015
http://vizier.cfa.harvard.edu/viz-bin/VizieR-4
Dataset