IRAS 22568 + 6141 - A new bipolar planetary nebula

Bibcode
1991A&A...249..223G
Garcia Lario, P.; Manchado, A.; Riera, A.; Mampaso, A.; Pottasch, S. R.
Bibliographical reference

Astronomy and Astrophysics (ISSN 0004-6361), vol. 249, no. 1, Sept. 1991, p. 223-232.

Advertised on:
9
1991
Number of authors
5
IAC number of authors
3
Citations
36
Refereed citations
33
Description
The identification of a bipolar planetary nebula is reported with a description of its characteristics. The nebula IRAS 22568 + 6141 has an extension of 8 arcsec, a high extinction of 2.37, and electron temperature and density of 11,500 K and 20,000/cu cm respectively. The distance to the object is estimated at 6 kpc by means of the Shklovskii method which is consistent with the H-alpha radial velocity of -80 km/s. The IRAS data suggest that the source has a total dust + gas enevelope of 0.4 solar mass, and the mass-loss rate and progenitor type are calculated for the young planetary nebula.
Type
Refereed
Planetary nebulae
Radial velocity

It may interest you

  • Refereed
    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.

    Advertised on:

    11
    2024
    Bibcode
    2024NatSR..1427219L
    Citations
    0
  • Refereed
    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.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65..281I
    Citations
    0
  • Refereed
    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.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Citations
    0