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Nicolas Lodieu

Researcher at Spanish National Research Council

Publications -  71
Citations -  1591

Nicolas Lodieu is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Brown dwarf & Stellar classification. The author has an hindex of 22, co-authored 71 publications receiving 1397 citations. Previous affiliations of Nicolas Lodieu include IAC & University of La Laguna.

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Near‐infrared cross‐dispersed spectroscopy of brown dwarf candidates in the Upper Sco association★

TL;DR: In this paper, the authors present near-infrared (1.15-2.50 µm) medium-resolution (R = 1700) spectroscopy of a sample of 23 brown dwarf candidates in the young Upper Sco association.
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Epsilon Indi Ba, Bb: a detailed study of the nearest known brown dwarfs

TL;DR: In this paper, the authors derived luminosities of log L/L_sun = -4.699+/-0.017 and -5.232+/- 0.020 for epsilon Indi Ba, Bb, respectively, and using the dynamical system mass and COND03 evolutionary models predict a system age of 3.7--4.3 Gyr, in excess of previous estimates and recent predictions.
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Multi-fibre optical spectroscopy of low-mass stars and brown dwarfs in Upper Sco

TL;DR: In this paper, a multi-fibre intermediate-resolution optical spectroscopy of 94 photometric and proper motion selected low-mass star and brown dwarf candidates in Upper Sco with AAT/AAOmega was obtained.
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The Lithium Depletion Boundary and the Age of the Hyades Cluster

TL;DR: In this paper, the authors show that the LDB method can be extended to significant older ages than previously thought, by using intermediate resolution optical spectra of six L-type candidate members in the Hyades cluster obtained using Optical System for Imaging and Low Resolution Integrated Spectroscopy at the 10.4 m Gran Telescopio Canarias.
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A census of very-low-mass stars and brown dwarfs in the sigma Orionis cluster

TL;DR: In this article, the shape of the mass function in the low-mass and substellar regimes in the σ Orionis cluster (∼3 Myr, ∼352 pc, solar metallicity) as accurately as possible and compare it with the results in other clusters.