Infrared Spectra of Brown Dwarf Candidates in Taurus

Bibcode
2003IAUS..211...75M
Magazzù, A.; Dougados, C.; Licandro, J.; Martín, E. L.; Magnier, E. A.; Ménard, F.
Bibliographical reference

Brown Dwarfs, Proceedings of IAU Symposium #211, held 20-24 May 2002 at University of Hawaii, Honolulu, Hawaii. Edited by Eduardo Martín. San Francisco: Astronomical Society of the Pacific, 2003, p. 75

Advertised on:
6
2003
Number of authors
6
IAC number of authors
0
Citations
1
Refereed citations
1
Description
We have obtained low resolution infrared spectra of 21 brown dwarf candidates, selected from a survey performed at the Canada-France-Hawaii Telescope. The spectra were obtained at the Telescopio Nazionale Galileo (La Palma), using the NICS spectrometer in the Amici configuration, which allows to observe the range 0.85-2.45 micron in a single shot. The bands shown by most of the spectra confirm that we are dealing with low effective temperature objects. Preliminary results of spectral classification are presented.
Type
Non-refereed

It may interest you

  • Non-refereed
    Convection, rotation, and magnetic activity of solar-like stars from asteroseismology
    During the last decade, our understanding of stellar physics and evolution has undergone a tremendous revolution thanks to asteroseismology. Space missions such as CoRoT, Kepler, K2, and TESS have already been observing millions of stars providing high-precision photometric data. With these data, it is possible to study the convection of stars
    Mathur, Savita

    Advertised on:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Citations
    0
  • Non-refereed
    Tales of stellar & binary co-evolution, told by stellar oscillations
    Stellar binarity and stellar oscillations are mostly seen and studied as two separate phenomena. Sometimes, one process is even complicating the analysis of the other beyond the liking of one or the other research community. However, the complete picture painted by the physical constraints provided by the combination of both processes represents a
    Beck, Paul G.

    Advertised on:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Citations
    0
  • Non-refereed
    The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data
    We present the Multimodal Universe, a new framework collating over 100 TB of multimodal astronomical data for its first release, spanning images, spectra, time series, tabular and hyper-spectral data. This unified collection enables a wide variety of machine learning (ML) applications and research across astronomical domains. The dataset brings
    Angeloudi, Eirini et al.

    Advertised on:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Citations
    0