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Listar por tema "WFPC2"

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    • Astronomical PSF characterization using grammar evolution and symbolic regression 

      Sarmiento, Ricardo; Baena-Gallé, Roberto; de la Cruz Echeandía, Marina; Ortega de la Puente, Alfonso; Girard, Terrence; Casetti-Dinescu, Dana; Cervantes-Rovira, Alejandro (2024)
      Symbolic regression techniques are promising approaches to learning mathematical models that fit experimental data. One of the most powerful techniques for symbolic regression is Grammatical Evolution (GE). This evolutionary ...

    • Grammar evolution and symbolic regression for astrometric centering of Hubble Space Telescope images 

      Sarmiento, Ricardo; de la Cruz Echeandía, Marina; Ortega de la Puente, Alfonso; Baena-Gallé, Roberto; Girard, Terrence; Casetti-Dinescu, Dana; Cervantes-Rovira, Alejandro (2024)
      Symbolic regression, in general, and genetic models, in particular, are promising approaches to mathematical modeling in astrometry where it is not always clear which is the fittest analytic expression depending on the ...

    • Star-image Centering with Deep Learning: HST/WFPC2 Images 

      Casetti-Dinescu, Dana I.; Girard, Terrence M.; Baena-Galle, Roberto; Martone, Max; Schwendemann, Kate (Publications of the Astronomical Society of the Pacific, 2023)
      A deep learning (DL) algorithm is built and tested for its ability to determine centers of star images in HST/WFPC2 exposures, in filters F555W and F814W. These archival observations hold great potential for proper-motion ...