Observational Evidence of Galactic Black Holes

Bibcode
1995STIN...9711501C
Casares, Jorge
Bibliographical reference

World Scientific

Advertised on:
1
1995
Number of authors
1
IAC number of authors
0
Citations
0
Refereed citations
0
Description
This paper summarizes the common properties of the currently known galactic black hole candidates. Particular emphasis is given to optical studies of the best candidates (those soft X-ray transients with dynamical evidence) and the problem of the mass determination. The technique used to achieve this goal (which has been applied to A0620-00, GS2023+338 and GS1124-68) is described and the results reviewed. High energy, behavior is also briefly discussed.
Type
Non-refereed

It may interest you

  • Non-refereed
    Convection, rotation, and magnetic activity of solar-like stars from asteroseismology
    During the last decade, our understanding of stellar physics and evolution has undergone a tremendous revolution thanks to asteroseismology. Space missions such as CoRoT, Kepler, K2, and TESS have already been observing millions of stars providing high-precision photometric data. With these data, it is possible to study the convection of stars
    Mathur, Savita

    Advertised on:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Citations
    0
  • Non-refereed
    Tales of stellar & binary co-evolution, told by stellar oscillations
    Stellar binarity and stellar oscillations are mostly seen and studied as two separate phenomena. Sometimes, one process is even complicating the analysis of the other beyond the liking of one or the other research community. However, the complete picture painted by the physical constraints provided by the combination of both processes represents a
    Beck, Paul G.

    Advertised on:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Citations
    0
  • Non-refereed
    The Multimodal Universe: 100 TB of Machine Learning Ready Astronomical Data
    We present the Multimodal Universe, a new framework collating over 100 TB of multimodal astronomical data for its first release, spanning images, spectra, time series, tabular and hyper-spectral data. This unified collection enables a wide variety of machine learning (ML) applications and research across astronomical domains. The dataset brings
    Angeloudi, Eirini et al.

    Advertised on:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Citations
    0