A composite HII region luminosity function (Bradley+, 2006)

Bibcode
2006yCat..34599013B
Bradley, T. R.; Knapen, J. H.; Beckman, J. E.; Folkes, S. L.
Referencia bibliográfica

VizieR On-line Data Catalog: J/A+A/459/L13. Originally published in: 2006A&A...459L..13B

Fecha de publicación:
9
2006
Número de autores
4
Número de autores del IAC
0
Número de citas
0
Número de citas referidas
0
Descripción
HII region catalogues for 57 face on spiral galaxies within v<2600km/s are presented. For each galaxy the following information is given for the HII regions; position from the galaxy centre, logarithm of the integrated luminosity is erg/s (which is 10-7W in SI units), area of the HII region in units of pc2 and the value of the local background. (2 data files).
Tipo
Sin árbitro
Regiones H II
Fotometría
Galaxias

Te puede interesar

  • Sin árbitro
    Massive characterisation of subgiants and red giants with TESS (Kepler and Gaia)
    TESS serves as a formidable tool for investigating stellar variability. Nonetheless, the adaptation of methodologies employed in other space missions, such as Kepler, to deduce long stellar rotation periods or solar-like stellar pulsations has been a challenge. The advent of multiple sectors of data for most stars every two years with the extended
    García, Rafael A. et al.

    Fecha de publicación:

    9
    2024
    Bibcode
    2024tkas.confE.123G
    Número de citas
    0
  • Sin árbitro
    a Study of Post-Agb Stars in the Light of GAIA DR3 Data
    Low and intermediate-mass stars evolve through the Post Asymptotic Giant Branch (post-AGB) phase before they reach the Planetary Nebulae stage. After leaving the Main Sequence, they undergo intense episodes of mass loss when in the Giant Branch and, then, they enter the post-AGB stage which is a rather puzzling stellar evolutionary phase . Also, it
    Manteiga, Minia et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024IAUGA..32P1413M
    Número de citas
    0
  • Sin árbitro
    Unsupervised classification of RR Lyrae stars
    Big datasets are becoming increasingly important in astrophysics due to new surveys continuously observing our night sky. A prominent example of an observatory that will produce a large data stream is Vera C. Rubin LSST, designed to simultaneously monitor the southern night sky in six colors. Unsupervised machine learning (ML), a method of learning
    Steinwender, Lukas et al.

    Fecha de publicación:

    8
    2024
    Bibcode
    2024tkas.confE...2S
    Número de citas
    0