Numerical analysis of star test

Bibcode
2003RMxF...49..549P
Paleta, O. T.; Carrillo, F. R.; Temich, F. G.; Rodriguez, A. C.
Bibliographical reference

Revista Mexicana De Fisica, vol. 49, no. 6, p. 549-554.

Advertised on:
12
2003
Number of authors
4
IAC number of authors
0
Citations
0
Refereed citations
0
Description
In this paper, we present one method of numeric analysis for the star test with MatLab (ANPEM), applied to reflecting telescope. ANPEM finds the difference between centers of the images of the annulus obtained with a Newtonian telescope and a Ritchey Chretiene telescope with 14 and 211 cm of diameter respectively. ANPEM allows to identify quantitative the symmetry of the annulus for each reflector telescope with a central obstruction. ANPEM finds the centres of the annulus with diference between 12 to 60 mum compared with the ideal numerical differences calculated with PC for the Newtonian telescope.
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
    Counting stars from the integrated spectra of galaxies
    Over the last few decades, evolutionary population synthesis models have powered an unmatched leap forward in our understanding of galaxies. From dating the age of the first galaxies in the Universe to providing detailed measurements of the chemical composition of nearby galaxies, the success of this approach built upon simple stellar population
    Martín-Navarro, I. et al.

    Advertised on:

    11
    2024
    Bibcode
    2024A&A...691L..10M
    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