A5034581273- Adaptive optics and wavefront sensing
- Stellar, planetary, and galactic studies
- Optical Systems and Laser Technology
- Planetary Science and Exploration
- Astronomy and Astrophysical Research
- Optical Wireless Communication Technologies
- Astronomical Observations and Instrumentation
- Astro and Planetary Science
- Optical Coherence Tomography Applications
- Geology and Paleoclimatology Research
- Remote Sensing and LiDAR Applications
- Advanced Image Processing Techniques
- Radioactivity and Radon Measurements
- Remote Sensing in Agriculture
- Optical measurement and interference techniques
- Gamma-ray bursts and supernovae
- Fluid Dynamics and Turbulent Flows
- Geochemistry and Geologic Mapping
Universidad de Oviedo
2023-2025
Neural networks have significantly advanced adaptive optics systems for telescopes in recent years. Future systems, especially extremely large telescopes, are expected to predominantly employ pyramid wavefront sensors, which offer good sensitivity but suffer from a non-linear response under certain conditions. This non-linearity limits the performance of traditional linear reconstruction methods, such as matrix–vector multiplication, leading suboptimal performance. Convolutional Networks...
Adaptive optics (AO) is a technique with an important role in image correction on ground-based telescopes through the deployment of specific optical instruments and various control methodologies. The synergy between these techniques paramount for capturing sharper more accurate images. This technology also plays crucial other applications, including power information systems, where it compensates thermal distortion caused by radiation. integration neural networks into AO represents...
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 for automating these analyses. In this research, two 1D convolutional network models, which work with simulated curves in transit-like signals were injected, are presented. One model operates on complete estimates orbital period, other one phase-folded semimajor axis orbit square planet-to-star radius ratio. Both...
Lithium, a critical natural resource integral to modern technology, has influenced diverse industries since its discovery in the 1950s. Of particular interest is lithium-7, most prevalent lithium isotope on Earth, playing vital role applications such as batteries, metal alloys, medicine, and nuclear research. However, extraction presents significant environmental logistical challenges. This article explores potential for exploration Moon, driven by value prospect of cost reduction due Moon’s...
ABSTRACT We present 24 new dense light curves of the near-Earth asteroids (3103) Eger, (161989) Cacus, (2100) Ra-Shalom, and (12711) Tukmit, obtained with Instituto Astrofísico Canarias 80 Telescopio Abierto Remoto 2 telescopes at Teide Observatory (Tenerife, Spain) during 2021 2022, in framework projects visible NEAs observations survey NEO Rapid Observation, Characterization Key Simulations. The shape models rotation state parameters (P, λ, β) were computed by applying curve inversion...
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 JA, (7822) 1991 CS, (154244) 2002 KL6 (159402) 1999 AP10, obtained from observations taken at Teide Observatory (Tenerife, Spain). With these along with archival data, computed their first shape models spin solutions by applying light curve inversion method. The rotation periods are in good agreement those...
Abstract In this research, we present two 1D Convolutional Neural Network (CNN) models that were trained, validated and tested using simulated light curves designed to mimic those expected from the Kepler Space Telescope during its extended mission (K2). We also them on real K2 data. Our curve simulator considers different stellar variability phenomena, such as rotations, pulsations flares, which along with noise for data, hinders transit signal detection, in The first model effectively...
The main objective of an Adaptive Optics (AO) system is to correct the aberrations produced in received wavefronts, caused by atmospheric turbulence. From some measures taken ground-based telescopes, AO systems must reconstruct all turbulence traversed incoming light and calculate a correction. characterized as phenomenon that can be modeled several independent, random, constantly changing layers. In case Solar Single-Conjugated (Solar SCAO), key on-axis with direction observation. Previous...