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M

M. T. V. T. Lago

Researcher at University of Porto

Publications -  28
Citations -  671

M. T. V. T. Lago is an academic researcher from University of Porto. The author has contributed to research in topics: T Tauri star & Stars. The author has an hindex of 10, co-authored 28 publications receiving 658 citations.

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NTT and VLT diffraction limited imaging of Trumpler 14: revealing a massive core-halo cluster

TL;DR: In this paper, the authors used deep and wide-field NIR images from NTT and VLT observations to identify and characterise the young stellar population of Trumpler 14 in Carina.
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Non{axisymmetric accretion on the classical TTS RW Aur A ?

TL;DR: In this article, high-resolution spectroscopic monitoring of the T Tauri star RW Aur A was carried out in three seasons of 1996, 1998 and 1999 with simultaneous B, V photometry, which revealed a multicomponent structure of the spectrum, including: 1) a veiled photospheric spectrum of a K1{K4 star, 2) broad emission lines of neutrals and ions, 3) narrow emission lines, 4) shell lines at about the stellar velocity, 5) blue-shifted wind features and 7) forbidden lines.
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Near-IR imaging of Galactic massive clusters : Westerlund 2

TL;DR: In this article, the authors used deep subarcsec resolution NIR data to derive the basic parameters of the unstudied population of massive cluster Westerlund 2, and they found compelling evidence for mass segregation in this cluster.
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Non-axisymmetric accretion on the classical TTS RW Aur A

TL;DR: In this paper, high-resolution spectroscopic monitoring of RW Aur A was carried out in 1996, 1998 and 1999 with simultaneous B, V photometry, revealing a multicomponent spectrum with a veiled photospheric spectrum, broad emissions, narrow emission lines of helium, and accretion, wind and shell features.
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No evidence of mass segregation in massive young clusters

TL;DR: In this article, the authors investigate the validity of the mass segregation indicators commonly used in analysing young stellar clusters and find that commonly used indicators are highly sensitive to sample incompleteness in observational data and that radial completeness determinations do not provide satisfactory corrections.