Growth of Massive Bulges by Mergers of Dense Satellites

Bibcode
2003mglh.conf...97B
DOI
10.1007/10899892_23
Balcells, Marc; Aguerri, J. Alfonso L.; Peletier, Reynier F.
Referencia bibliográfica

The Mass of Galaxies at Low and High Redshift: Proceedings of the European Southern Observatory and Universitäts-Sternwarte München Workshop Held in Venice, Italy, 24-26 October 2001, ESO ASTROPHYSICS SYMPOSIA. ISBN 3-540-00205-7. Edited by R. Bender and A. Renzini. Springer-Verlag, 2003, p. 97

Fecha de publicación:
0
2003
Número de autores
3
Número de autores del IAC
2
Número de citas
1
Número de citas referidas
1
Descripción
We present merger models suggesting that bulge growth via accretion of dense satellites generates two of the observed trends of galaxies along the Hubble sequence, namely the increase of Sersic index toward more massive bulges, and the appearance of a thick disk with higher scale length than that of the thin disk. We argue that bulges with exponential surface brightness profiles cannot have grown significantly from collisionless satellite accretion.
Tipo
Sin árbitro

Te puede interesar

  • 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
    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
    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