Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Helin, Tapio"'
Autor:
Engler, Byron, Kasper, Markus, Leveratto, Serban, Heritier, Cedric Taissir, Bristow, Paul, Verinaud, Christophe, Louarn, Miska Le, Nousiainen, Jalo, Helin, Tapio, Bonse, Markus, Quanz, Sascha, Glauser, Adrian, Bernard, Julien, Gratadour, Damien, Clare, Richard
The GPU-based High-order adaptive OpticS Testbench (GHOST) at the European Southern Observatory (ESO) is a new 2-stage extreme adaptive optics (XAO) testbench at ESO. The GHOST is designed to investigate and evaluate new control methods (machine lear
Externí odkaz:
http://arxiv.org/abs/2411.05408
Autor:
Simioni, Matteo, Jodlbauer, Daniel, Arcidiacono, Carmelo, Grazian, Andrea, Gullieuszik, Marco, Portaluri, Elisa, Vulcani, Benedetta, Wagner, Roland, Zanella, Anita, Hartke, Johanna, Helin, Tapio, Kuncarayakti, Hanindyo, Masciadri, Elena, Pedichini, Fernando, Piazzesi, Roberto, Turchi, Alessio, Vaccari, Piero
The highest scientific return, for adaptive optics (AO) observations, is achieved with a reliable reconstruction of the PSF. This is especially true for MICADO@ELT. In this presentation, we will focus on extending the MICADO PSF reconstruction (PSF-R
Externí odkaz:
http://arxiv.org/abs/2407.09201
We applied Bayesian Optimal Experimental Design (OED) in the estimation of parameters involved in the Equilibrium Dispersive Model for chromatography with two components with the Langmuir adsorption isotherm. The coefficients estimated were Henry's c
Externí odkaz:
http://arxiv.org/abs/2406.19835
Time-delay error is a significant error source in adaptive optics (AO) systems. It arises from the latency between sensing the wavefront and applying the correction. Predictive control algorithms reduce the time-delay error, providing significant per
Externí odkaz:
http://arxiv.org/abs/2406.18275
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning
Score-based diffusion models (SDMs) offer a flexible approach to sample from the posterior distribution in a variety of Bayesian inverse problems. In the literature, the prior score is utilized to sample from the posterior by different methods that r
Externí odkaz:
http://arxiv.org/abs/2405.15643
Autor:
Cheng, Hanz Martin, Helin, Tapio, Manninen, Ville-Petteri, Holopainen, Timo, Jokinen, Juha, Sorvari, Samu, Rupp, Andreas
We propose numerical algorithms for recovering parameters in eigenvalue problems for linear elasticity of transversely isotropic materials. Specifically, the algorithms are used to recover the elastic constants of a rotor core. Numerical tests show t
Externí odkaz:
http://arxiv.org/abs/2405.06388
Autor:
Nousiainen, Jalo, Engler, Byron, Kasper, Markus, Rajani, Chang, Helin, Tapio, Heritier, Cédric T., Quanz, Sascha P., Glauser, Adrian M.
Direct imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the next generation of ground-based telescopes. Typically, Earth-like exoplanets are located at small angular separations from their host stars, making their d
Externí odkaz:
http://arxiv.org/abs/2401.00242
We provide an overview of recent progress in statistical inverse problems with random experimental design, covering both linear and nonlinear inverse problems. Different regularization schemes have been studied to produce robust and stable solutions.
Externí odkaz:
http://arxiv.org/abs/2312.15341
The aim of magnetorelaxometry imaging is to determine the distribution of magnetic nanoparticles inside a subject by measuring the relaxation of the superposition magnetic field generated by the nanoparticles after they have first been aligned using
Externí odkaz:
http://arxiv.org/abs/2305.19940
In recent years, Bayesian inference in large-scale inverse problems found in science, engineering and machine learning has gained significant attention. This paper examines the robustness of the Bayesian approach by analyzing the stability of posteri
Externí odkaz:
http://arxiv.org/abs/2303.01512