83 citations · 97 across the 6 of their papers we have counts for
6 papers
SpecFANN: Spectral Fitting via Artificial Neural Networks I. A deep learning based fastwind emulator and fitting suite
M. Abdul-Masih, C. Hawcroft, T. Lechien +14
The importance of massive stars cannot be overstated: they are powerful probes of the early universe, play a vital role in the chemical and mechanical evolution of their host envir…
P-CORONA: A New Tool for Calculating the Intensity and Polarization of Coronal Lines in 3D Models of the Solar Corona
Supriya Hebbur Dayananda, Ángel de Vicente, Tanausú del Pino Alemán +2
The critical need to study the magnetic field in the solar corona is highlighted by recent observational facilities, such as DKIST and Aditya-L1. A powerful tool for probing the ma…
Mancha3D code: Multi-purpose Advanced Non-ideal MHD Code for High resolution simulations in Astrophysics
M. Modestov, E. Khomenko, N. Vitas +14
The Mancha3D code is a versatile tool for numerical simulations of magnetohydrodynamic processes in solar/stellar atmospheres. The code includes non-ideal physics derived from plas…
The polarization of the Lyman- lines of H I and He II as a tool for exploring the solar corona
Supriya Hebbur Dayananda, Javier Trujillo Bueno, Ángel de Vicente +1
The near-Earth space weather is driven by the quick release of magnetic free energy in the solar corona. Probing this extremely hot and rarified region of the extended solar atmosp…
Rayleigh-Taylor instability in partially ionized prominence plasma
E. Khomenko, A. Diaz, A. de Vicente +2
We study Rayleigh-Taylor instability (RTI) at the coronal-prominence boundary by means of 2.5D numerical simulations in a single-fluid MHD approach including a generalized Ohm's la…
Automatic unsupervised classification of all SDSS/DR7 galaxy spectra
J. Sanchez Almeida, J. A. L. Aguerri, C. Munoz-Tunon +1
Using the 'k-means' cluster analysis algorithm, we carry out an unsupervised classification of all galaxy spectra in the seventh and final Sloan Digital Sky Survey data release (SD…