RedCan: CanariCam pipeline for the reduction and analysis of the spectroscopic data

Bibcode
2013RMxAC..42..118G
González-Martín, O.; Díaz-Santos, T.; Rodríguez-Espinosa, J. M.; Packham, C.; Alonso-Herrero, A.; Esquej, P.; Levenson, N.; López Rodríguez, E.; Mason, R.; Ramos-Almeida, C.; Telesco, C. M.
Referencia bibliográfica

Fourth Science Meeting with the GTC (Eds. C. Muñoz-Tuñón & J. M. Rodríguez-Espinosa) Revista Mexicana de Astronomía y Astrofísica (Serie de Conferencias) Vol. 42, pp. 118-118 (2013) (http://www.astroscu.unam.mx/~rmaa/)

Fecha de publicación:
5
2013
Número de autores
11
Número de autores del IAC
3
Número de citas
1
Número de citas referidas
1
Descripción
The mid-infrared camera and spectrograph CanariCam is one of the first light instruments to be operative at GTC. To exploit the CanariCam guaranteed observing time, the PIRATAS team was formed. The PIRATAS team has 100 hours of guarantee time to do imaging and spectroscopy of active galactic nuclei (AGN). We have developed the pipeline RedCan to quickly analyze upcoming large amount of data. The main goal is to produce a software able of taking a list of observations and reduce them without the minimum number of inputs.
Tipo
Sin árbitro

Te puede interesar

  • 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
    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
    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