activity
20232026
most citedOne-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets

10 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2026

Spin Parameters and Shape Models of Near-Earth Asteroids (4660) Nereus, (21088) Chelyabinsk, (66146) 1998 TU3, and (297418) 2000 SP43

Javier Rodríguez Rodríguez, Enrique Díez Alonso, Santiago Iglesias Álvarez +8

We present our shape and rotational characterization of four near-Earth asteroids observed as part of the Visible NEAs Observations Survey. This work includes 61 new light curves o…

astro-ph.EP2024★ 2 cited

Light-curve analysis and shape models of NEAs 7335, 7822, 154244 and 159402

Javier Rodríguez Rodríguez, Enrique Díez Alonso, Santiago Iglesias Álvarez +8

In an attempt to further characterise the near-Earth asteroid (NEA) population we present 38 new light-curves acquired between September 2020 and November 2023 for NEAs (7335) 1989…

astro-ph.EP2024★ 4 cited

Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez +3

The transit method allows the detection and characterization of planetary systems by analyzing stellar light curves. Convolutional neural networks appear to offer a viable solution…

astro-ph.EP2023★ 3 cited

Improved models for near-Earth asteroids (2100) Ra-Shalom, (3103) Eger, (12711) Tukmit & (161989) Cacus

Javier Rodríguez Rodríguez, Enrique Díez Alonso, Santiago Iglesias Álvarez +7

We present 24 new dense lightcurves of the near-Earth asteroids (3103) Eger, (161989) Cacus, (2100) Ra-Shalom and (12711) Tukmit, obtained with the Instituto Astrofísico Canarias 8…

astro-ph.EP2023★ 10 cited

One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets

Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez +3

The transit method is one of the most relevant exoplanet detection techniques, which consists of detecting periodic eclipses in the light curves of stars. This is not always easy d…