A. Asensio Ramos
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View article: Automatic detection of CMEs using synthetically-trained Mask R-CNN
Automatic detection of CMEs using synthetically-trained Mask R-CNN Open
Coronal mass ejections (CMEs) are a major driver of space weather. To assess CME geoeffectiveness, among other scientific goals, it is necessary to reliably identify and characterize their morphology and kinematics in coronagraph images. C…
View article: torchmfbd: A flexible multi-object, multi-frame blind deconvolution code
torchmfbd: A flexible multi-object, multi-frame blind deconvolution code Open
Context . Post-facto image restoration techniques are essential for improving the quality of ground-based astronomical observations, which are affected by atmospheric turbulence. Multi-object, multi-frame blind deconvolution (MOMFBD) metho…
View article: Simulation-based inference of galaxy properties from JWST pixels
Simulation-based inference of galaxy properties from JWST pixels Open
The spectral energy distributions (SEDs) of galaxies offer detailed insights into their stellar populations, capturing key physical properties such as stellar mass, star formation history (SFH), metallicity, and dust attenuation. However, …
View article: Bullying and Its Effects on Student Outcomes: Basis for an Action Plan
Bullying and Its Effects on Student Outcomes: Basis for an Action Plan Open
This study examined the relationship between bullying experiences and student outcomes—specifically academic performance, psychological well-being, and behavioral changes—among Grade 6 students in South II District, Iligan City. Employing …
View article: Reconstructing exoplanet surfaces from unresolved light curves
Reconstructing exoplanet surfaces from unresolved light curves Open
An important aspect of characterizing exoplanets is getting reliable information about structures on their surfaces. Resolving exoplanet surfaces might seem like an impossible challenge. Given that no resolved direct images of exoplanet su…
View article: LIGHTS
LIGHTS Open
The LIGHTS survey is imaging galaxies at a depth and spatial resolution comparable to what the Legacy Survey of Space and Time (LSST) will produce in 10 years (i.e., ∼31 mag/arcsec 2 ; 3 σ in areas equivalent to 10″×10″). This opens up the…
View article: Inferring chromospheric velocities in an M3.2 flare using He I 1083.0 nm and Ca II 854.2 nm
Inferring chromospheric velocities in an M3.2 flare using He I 1083.0 nm and Ca II 854.2 nm Open
Aims. Our aim was to study the chromospheric line-of-sight (LOS) velocities during the GOES M3.2 flare (SOL2013-05-17T08:43) using simultaneous high-resolution ground-based spectroscopic data of the He I 10830 Å triplet and Ca II 8542 Å li…
View article: Simulation-based inference of galaxy properties from JWST pixels
Simulation-based inference of galaxy properties from JWST pixels Open
We present an efficient Bayesian SED-fitting framework tailored to multiwavelength pixel photometry from the JWST Advanced Deep Extragalactic Survey (JADES). Our method employs simulation-based inference to enable rapid posterior sampling …
View article: Recovering coherent flow structures in active regions using machine learning
Recovering coherent flow structures in active regions using machine learning Open
Analysing high-resolution solar atmospheric observations requires robust techniques to recover plasma flow features across different scales, especially in active regions. Current methodologies often fall short in capturing subgranular-scal…
View article: Desafíos en hemorragia cerebral y cirrosis hepática. derivación ventricular bilateral como alternativa terapéutica
Desafíos en hemorragia cerebral y cirrosis hepática. derivación ventricular bilateral como alternativa terapéutica Open
Resumen: Objetivo: Describir el manejo de un paciente con hematoma intraparenquimatoso, hemorragia intraventricular (HIV) y coagulopatía secundaria a cirrosis hepática, explorando la colocación de derivación ventricular bilateral (DVEb) co…
View article: Exploring spectropolarimetric inversions using neural fields
Exploring spectropolarimetric inversions using neural fields Open
Context. Full-Stokes polarimetric datasets, originating from slit-spectrograph or narrow-band filtergrams, are routinely acquired nowadays. The data rate is increasing with the advent of bi-dimensional spectropolarimeters and observing tec…
View article: The return of FarNet-II: Generation of solar far-side magnetograms from helioseismic data
The return of FarNet-II: Generation of solar far-side magnetograms from helioseismic data Open
Context. The far-side activity of the Sun can be inferred by interpreting the near-side wave field using local helioseismic techniques. However, detections are limited to strongly active regions because signal-to-noise ratio of the data is…
View article: Exploring spectropolarimetric inversions using neural fields. Solar chromospheric magnetic field under the weak-field approximation
Exploring spectropolarimetric inversions using neural fields. Solar chromospheric magnetic field under the weak-field approximation Open
Full-Stokes polarimetric datasets, originating from slit-spectrograph or narrow-band filtergrams, are routinely acquired nowadays. The data rate is increasing with the advent of bi-dimensional spectropolarimeters and observing techniques t…
View article: Properties of sunspot light bridges on a geometric height scale
Properties of sunspot light bridges on a geometric height scale Open
Investigating light bridges (LBs) helps us comprehend key aspects of sunspots. However, few studies have analyzed the properties of LBs in terms of the geometric height, which is a more realistic perspective given the corrugation of the so…
View article: Properties of sunspot light bridges on a geometric height scale
Properties of sunspot light bridges on a geometric height scale Open
Context. Investigating light bridges (LBs) helps us comprehend key aspects of sunspots. However, few studies have analyzed the properties of LBs in terms of the geometric height, which is a more realistic perspective given the corrugation …
View article: A fast neural emulator for interstellar chemistry
A fast neural emulator for interstellar chemistry Open
Astrochemical models are important tools to interpret observations of molecular and atomic species in different environments. However, these models are time-consuming, precluding a thorough exploration of the parameter space, leading to un…
View article: A fast neural emulator for interstellar chemistry
A fast neural emulator for interstellar chemistry Open
Astrochemical models are important tools to interpret observations of molecular and atomic species in different environments. However, these models are time-consuming, precluding a thorough exploration of the parameter space, leading to un…
View article: SiO maser polarization and magnetic field in evolved cool stars
SiO maser polarization and magnetic field in evolved cool stars Open
Context. Magnetic fields, photospheric and atmospheric dynamics can be involved in triggering the high mass loss observed in evolved cool stars. Previous works have revealed that the magnetic field of these objects extends beyond their sur…
View article: Solar multiobject multiframe blind deconvolution with a spatially variant convolution neural emulator
Solar multiobject multiframe blind deconvolution with a spatially variant convolution neural emulator Open
Context. The study of astronomical phenomena through ground-based observations is always challenged by the distorting effects of Earth’s atmosphere. Traditional methods of post facto image correction, essential for correcting these distort…
View article: SiO maser polarization and magnetic field in evolved cool stars
SiO maser polarization and magnetic field in evolved cool stars Open
Both magnetic fields and photospheric/atmospheric dynamics can be involved in triggering the important mass loss observed in evolved cool stars. Previous works have revealed that these objects exhibit a magnetic field extending beyond thei…
View article: NLTE modelling of water-rich exoplanet atmospheres. Cooling and heating rates
NLTE modelling of water-rich exoplanet atmospheres. Cooling and heating rates Open
View article: NLTE modelling of water-rich exoplanet atmospheres. Cooling and heating rates
NLTE modelling of water-rich exoplanet atmospheres. Cooling and heating rates Open
The hydrogen and water molecules respond very differently to the collisional-radiative processes taking place in planetary atmospheres. Naturally, the question arises whether H2O-rich atmospheres are more (or less) resilient to long-term m…
View article: Eficacia de la terapia hemoadsortiva combinada con hemofiltración de alto volumen en el manejo del shock séptico refractario
Eficacia de la terapia hemoadsortiva combinada con hemofiltración de alto volumen en el manejo del shock séptico refractario Open
Resumen: Introducción: El shock séptico continúa siendo una de las principales causas de mortalidad en las unidades de cuidados intensivos. Recientemente han surgido terapias de hemoadsorción como una herramienta adicional para abordar est…
View article: A new empirical model for the structural analysis of early-type galaxies, and a critical review of the Nuker model
A new empirical model for the structural analysis of early-type galaxies, and a critical review of the Nuker model Open
The Nuker law was designed to match the inner few (∼3-10) arcseconds of predominantly nearby (∼30 Mpc) early-type galaxy light profiles; it was never intended to describe an entire profile. The Sérsic model, on the other hand, was develope…
View article: On the Magnetic Nature of Quiet-Sun Chromospheric Grains
On the Magnetic Nature of Quiet-Sun Chromospheric Grains Open
Ca ii K grains, i.e., intermittent, short-lived (about 1 minute), periodic (2–4 minutes), pointlike chromospheric brightenings, are considered to be the manifestations of acoustic waves propagating upward from the solar surface and develop…
View article: Machine learning in solar physics
Machine learning in solar physics Open
The application of machine learning in solar physics has the potential to greatly enhance our understanding of the complex processes that take place in the atmosphere of the Sun. By using techniques such as deep learning, we are now in the…
View article: Magnetic field fluctuations in the shocked umbral chromosphere
Magnetic field fluctuations in the shocked umbral chromosphere Open
Context. Umbral chromospheric observations show the presence of magnetoacoustic shocks. Several recent studies have reported magnetic field fluctuations associated with these shock waves. The mechanism behind these periodic magnetic field …
View article: Magnetic field fluctuations in the shocked umbral chromosphere
Magnetic field fluctuations in the shocked umbral chromosphere Open
Several studies have reported magnetic field fluctuations associated with umbral shock waves. We aim to study the properties and origin of magnetic field fluctuations in the umbral chromosphere. Temporal series of spectropolarimetric obser…
View article: Machine learning in solar physics
Machine learning in solar physics Open
The application of machine learning in solar physics has the potential to greatly enhance our understanding of the complex processes that take place in the atmosphere of the Sun. By using techniques such as deep learning, we are now in the…
View article: Tomographic Reconstruction of the Solar K-Corona using Neural Fields
Tomographic Reconstruction of the Solar K-Corona using Neural Fields Open
We explore the application of neural fields for tomographic reconstructions of the solar corona using data from the LASCO-C2 instrument. We first demonstrate their ability to recover the electron density volume in a synthetic static case, …