FRIDA: The infrared imager and integral field spectrograph for the adaptive optics system of GTC

Bibcode
2006NewAR..50..389C
DOI
10.1016/j.newar.2006.02.025
Cuevas, S.; López, J. A.; Eikenberry, S.; Sánchez, B.; Watson, A.; Garzón, F.; Prieto, A.; Fuentes, J.; Díaz, J. J.; Espejo, C.; Flores, R.; Bringas, V.; Chapa, O.
Bibliographical reference

New Astronomy Reviews, Volume 50, Issue 4-5, p. 389-391.

Advertised on:
6
2006
Journal
New Astronomy Reviews
Number of authors
13
IAC number of authors
3
Citations
5
Refereed citations
3
Description
FRIDA has been conceived as the first science instrument for the adaptive optics system of the Gran Telescopio Canarias (GTC). It is designed to be installed at the Nasmyth A platform, behind the GTC adaptive optics system. FRIDA will be a diffraction limited, near infrared imager and integral field spectrograph sensitive from 0.9 to 2.5 μm. It may also include provisions for future upgrades such as coronographic masks and long slits. FRIDA is a collaborative project between the Instituto de Astronomía, UNAM, México, the Instituto de Astrofísica de Canarias, Spain, and the Astronomy Department of the University of Florida, USA.
Type
Refereed

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
    Model-based identification of solar coronal mass ejections using deep neural networks
    Coronal mass ejections (CMEs) are a major driver of space weather and thus can have important negative technological and social impacts. To assess their geoeffectiveness once they are ejected, it is crucial their prompt identification in coronagraph images. In the last decade, deep neural networks (DNN) have experienced enormous improvements in
    Iglesias, F. A. et al.

    Advertised on:

    8
    2024
    Bibcode
    2024BAAA...65...17I
    Citations
    0