On the Size and Luminosity versus Velocity Dispersion Correlations from the Giant H II Regions in the Irregular Galaxy NGC 4449

Bibcode
2000AJ....120..752F
DOI
10.1086/301467
Fuentes-Masip, Oriol; Muñoz-Tuñón, Casiana; Castañeda, Héctor O.; Tenorio-Tagle, Guillermo
Bibliographical reference

The Astronomical Journal, Volume 120, Issue 2, pp. 752-762.

Advertised on:
8
2000
Number of authors
4
IAC number of authors
2
Citations
37
Refereed citations
31
Description
Here we present the size and luminosity versus velocity dispersion empirical correlations for the giant H II regions in the large irregular galaxy NGC 4449. We show that correlations only hold for nebulae with a surface brightness higher than 2×1035 ergs s-1 pc-2 in Hα and with a supersonic single-line Gaussian profile. The exponents of the fits are consistent with virial mechanisms. A comparison with the results from other studies that have only used first-ranked giant H II regions from a variety of star-forming galaxies is also given.
Type
Refereed
Galaxies
H II regions

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
    CEERS Key Paper. IX. Identifying Galaxy Mergers in CEERS NIRCam Images Using Random Forests and Convolutional Neural Networks
    A crucial yet challenging task in galaxy evolution studies is the identification of distant merging galaxies, a task that suffers from a variety of issues ranging from telescope sensitivities and limitations to the inherently chaotic morphologies of young galaxies. In this paper, we use random forests and convolutional neural networks to identify
    Rose, Caitlin et al.

    Advertised on:

    11
    2024
    Bibcode
    2024ApJ...976L...8R
    Citations
    0