Ionized Gas Velocity Field in Central Region of NGC 1068 Inferred from the [O III] λλ 4959,5007 and [S III] λ 9069 Lines

Bibcode
1997Ap&SS.248..159A
DOI
10.1023/A:1000521410414
Arribas, S.; Mediavilla, E.; Garcia-Lorenzo, B.; Del Burgo, C.
Referencia bibliográfica

Astrophysics and Space Science, Volume 248, Issue 1-2, pp. 159-166

Fecha de publicación:
2
1997
Revista
Astrophysics and Space Science
Número de autores
4
Número de autores del IAC
4
Número de citas
2
Número de citas referidas
2
Descripción
From 2-D spectroscopy of the [O III] λλ 4959,5007 and [S III] λ 9069 lines we have studied the ionized gas-velocity field in the central regions of NGC 1068. The existence of a strong bipolar outflow of ionized gas is confirmed. The origin of this outflow, which is probably related to the active nucleus, is about 1.4″ NE of the optical nucleus; therefore, this region is a candidate to host the hidden nucleus of NGC 1068.
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