A Spectroscopic Study of the Ancient Milky Way: F- and G-Type Stars in the Third Data Release of the Sloan Digital Sky Survey

Bibcode
2006ApJ...636..804A
DOI
10.1086/498131
Allende Prieto, Carlos; Beers, Timothy C.; Wilhelm, Ronald; Newberg, Heidi Jo; Rockosi, Constance M.; Yanny, Brian; Lee, Young Sun
Referencia bibliográfica

The Astrophysical Journal, Volume 636, Issue 2, pp. 804-820.

Fecha de publicación:
1
2006
Revista
The Astrophysical Journal
Número de autores
7
Número de autores del IAC
0
Número de citas
349
Número de citas referidas
318
Descripción
We perform an analysis of spectra and photometry for 22,770 stars included in the third data release (DR3) of the Sloan Digital Sky Survey (SDSS). We derive atmospheric parameters and distances. Our analysis procedures are throughly checked using three recently published spectroscopic libraries of nearby stars and alternative methods. The SDSS sample covers a range in stellar brightness of 14
Tipo
Con árbitro

Te puede interesar

  • Con árbitro
    An ultra-short-period super-Earth with an extremely high density and an outer companion
    We present the discovery and characterization of a new multi-planetary system around the Sun-like star K2-360 (EPIC 201595106). K2-360 was first identified in K2 photometry as the host of an ultra-short-period (USP) planet candidate with a period of 0.88 d. We obtained follow-up transit photometry, confirming the star as the host of the signal
    Livingston, John H. et al.

    Fecha de publicación:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Número de citas
    0
  • Con árbitro
    Neural calibration of imaging Stokes polarimeters
    Current polarimetric calibration techniques derive the instrument modulation matrix by numerically fitting an instrumental model to measurements of a set of calibration Stokes vectors. These techniques are typically limited to an error on the retrieved normalized Stokes Q, U and V parameters, in the $1\times10^{-2}$ to $1\times10^{-3}$ range. This
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Número de citas
    0
  • Con árbitro
    Model-based identification of solar coronal mass ejections using deep neural networks
    Coronal mass ejections (CMEs) are a major driver of space weather and thus can have important negative technological and social impacts. To assess their geoeffectiveness once they are ejected, it is crucial their prompt identification in coronagraph images. In the last decade, deep neural networks (DNN) have experienced enormous improvements in
    Iglesias, F. A. et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Número de citas
    0