Dust extinction in NGC 4594, the Sombrero galaxy

Bibcode
1991A&A...241...42K
Knapen, J. H.; Hes, R.; Beckman, J. E.; Peletier, R. F.
Referencia bibliográfica

Astronomy and Astrophysics (ISSN 0004-6361), vol. 241, no. 1, Jan. 1991, p. 42-46. Research supported by EEC.

Fecha de publicación:
1
1991
Número de autores
4
Número de autores del IAC
2
Número de citas
43
Número de citas referidas
41
Descripción
The extinction law in the well-defined dust lane of the Sombrero galaxy, NGC 4594, was studied. In the R, I, J, H, and K bands good agreement is found between values for the extinction ratios A(lambda)/A(v) in NGC 4594 and those reported for the Galaxy. The apparently somewhat lower values in the B and V-bands can be explained with a scenario where parasitic light enters the line of sight; either foreground light or light stars embedded in the dust lane. The Galactic extinction law seems to be valid for the dust in the Sombrero galaxy over the wavelength range studied.
Tipo
Con árbitro
Extinción interestelar
Galaxias espirales

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