Massive Stars: Some Open Questions and the Role of Multi-Object Spectroscopy

Bibcode
2016ASPC..507..135H
Herrero, A.
Bibliographical reference

Multi-Object Spectroscopy in the Next Decade: Big Questions, Large Surveys, and Wide Fields. Proceedings of a conference held at Teatro Circo de Marte, Santa Cruz de La Palma, Canary Islands, Spain on 2-6 March 2015. Edited by Ian Skillen, Marc Barcells, and Scott Trager. ASP Conference Series, Vol. 507. San Francisco: Astronomical Society of the Pacific, 2016, p.135

Advertised on:
10
2016
Number of authors
1
IAC number of authors
1
Citations
3
Refereed citations
2
Description
Massive stars are key ingredients in the evolution of the Universe. Yet, important uncertainties and limits persist in our understanding of these objects, even in their early phases, limiting their application as tools to interpret the Universe. Here we review some of these open questions and argue that large samples are needed to answer them, both in the Milky Way and nearby galaxies. Multi-object spectroscopy plays a crucial role in this process.
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