Local piston detection of a segmented mirror telescope with curvature sensing of wavefronts affected by atmospheric turbulence. Numerical simulations

Bibcode
1997hara.conf..355R
Rodriguez-Ramos, J. M.; Fuensalida, J. J.
Referencia bibliográfica

High angular resolution in astrophysics, Proceedings of the NATO Advanced Study Institute on High Angular Resolution in Astrophysics, Les Houches, France, 9-19 April 1996, Edited by Anne-Marie Lagrange, Denis Mourard, and Pierre Lena. Publisher: Dordrecht, Boston: Kluwer Academic, 1997, NATO ASI series. Series C, Mathematical and physical sciences, Series vol no: 501, ISBN: 0792347676, p.355

Fecha de publicación:
0
1997
Número de autores
2
Número de autores del IAC
1
Número de citas
0
Número de citas referidas
0
Descripción
Not Available
Tipo
Sin árbitro

Te puede interesar

  • Sin árbitro
    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.

    Fecha de publicación:

    10
    2024
    Bibcode
    2024bss..confE..35B
    Número de citas
    0
  • Sin árbitro
    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

    Fecha de publicación:

    0
    2024
    Bibcode
    2024IAUS..365..195M
    Número de citas
    0
  • Sin árbitro
    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.

    Fecha de publicación:

    12
    2024
    Bibcode
    2024RNAAS...8..301A
    Número de citas
    0