Near-infrared spectroscopy of Seyfert and spiral galaxies

Bibcode
2003ASPC..290..521K
Kotilainen, J. K.; Reunanen, J.; Prieto, M. A.
Referencia bibliográfica

Active Galactic Nuclei: from Central Engine to Host Galaxy, meeting held in Meudon, France, July 23-27, 2002, Eds.: S. Collin, F. Combes and I. Shlosman. ASP (Astronomical Society of the Pacific), Conference Series, Vol. 290, p. 521.

Fecha de publicación:
0
2003
Número de autores
3
Número de autores del IAC
0
Número de citas
0
Número de citas referidas
0
Descripción
We present near-infrared long-slit spectroscopy of matched samples of nearby Seyfert and normal spiral galaxies. The central molecular content in Seyferts type 1 and 2 will be discussed in view of AGN unified models. The nuclear and radial stellar population content and star formation properties in the Seyferts and spirals will be compared. Finally, the link between nonstellar and stellar nuclear components, and implications for studies of active and non-active galaxies at higher redshift will be addressed.
Tipo
Sin árbitro

Te puede interesar

  • Sin árbitro
    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.

    Fecha de publicación:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Número de citas
    0
  • Sin árbitro
    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

    Fecha de publicación:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Número de citas
    0
  • Sin árbitro
    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.

    Fecha de publicación:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Número de citas
    0