Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Tapio Helin"'
Autor:
Matteo Simioni, Carmelo Arcidiacono, Roland Wagner, Andrea Grazian, Marco Gullieuszik, Elisa Portaluri, Benedetta Vulcani, Anita Zanella, Guido Agapito, Richard Davies, Tapio Helin, Fernando Pedichini, Roberto Piazzesi, Enrico Pinna, Ronny Ramlau, Fabio Rossi, Aleksi Salo
Publikováno v:
Journal of Astronomical Telescopes, Instruments, and Systems. 8
Autor:
Jalo Nousiainen, Byron Engler, Markus Kasper, Tapio Helin, Cedric Taissir Heritier, Chang Rajani
Publikováno v:
Adaptive Optics Systems VIII.
Autor:
Matteo Simioni, Carmelo Arcidiacono, Roland Wagner, Andrea Grazian, Marco Gullieuszik, Elisa Portaluri, Benedetta Vulcani, Anita Zanella, Guido Agapito, Richard Davies, Tapio Helin, Fernando Pedichini, Roberto Piazzesi, Enrico Pinna, Ronny Ramlau, Fabio Rossi, Aleksi Salo
Publikováno v:
Adaptive Optics Systems VIII.
Current state-of-the-art adaptive optics (AO) provides ground-based, diffraction-limited observations with high Strehl ratios (SR). However, a detailed knowledge of the point spread function (PSF) is required to fully exploit the scientific potential
Autor:
Andrea Grazian, Matteo Simioni, Carmelo Arcidiacono, Jani Achren, Yann Clenet, Yixian Cao, Richard Davies, Marco Gullieuszik, Tapio Helin, Daniel Jodlbauer, Hanindyo Kuncarayakti, Miska Le Louarn, Seppo Mattila, Fernando Pedichini, Roberto Piazzesi, Elisa Portaluri, Gijs Verdoes Kleijn, Benedetta Vulcani, Roland Wagner, Steven Williams, Anita Zanella, Werner W. Zeilinger
Publikováno v:
Adaptive Optics Systems VIII.
Autor:
Byron Engler, Markus Kasper, Paul Bristow, Cedric T. Heritier, Serban Leveratto, Christophe Verinaud, Miska Le Louarn, Jalo Nousiainen, Tapio Helin, Markus Bonse, Sascha Quanz, Adrian Glauser, Julien Bernard, Damien Gratadour, Richard Clare
Publikováno v:
Adaptive Optics Systems VIII.
Publikováno v:
The SMAI journal of computational mathematics. 6:69-100
The Bayesian formulation of inverse problems is attractive for three primary reasons: it provides a clear modelling framework; means for uncertainty quantification; and it allows for principled learning of hyperparameters. The posterior distribution
Autor:
Remo Kretschmann, Tapio Helin
In this paper we study properties of the Laplace approximation of the posterior distribution arising in nonlinear Bayesian inverse problems. Our work is motivated by Schillings et al. (Numer Math 145:915–971, 2020. 10.1007/s00211-020-01131-1), wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5acb318cb9a434df8e26ec91585d31bd
https://doi.org/10.1007/s00211-021-01266-9
https://doi.org/10.1007/s00211-021-01266-9
This work applies Bayesian experimental design to selecting optimal projection geometries in (discretized) parallel beam X-ray tomography assuming the prior and the additive noise are Gaussian. The introduced greedy exhaustive optimization algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544361c22a776ff8d81f869bb5234505
https://aaltodoc.aalto.fi/handle/123456789/111248
https://aaltodoc.aalto.fi/handle/123456789/111248
Publikováno v:
Bernoulli. 27
We consider a family of infinite dimensional product measures with tails between Gaussian and exponential, which we call p-exponential measures. We study their measure-theoretic properties and in particular their concentration. Our findings are used
Autor:
Matteo Simioni, Andrea Grazian, Hanindyo Kuncarayakti, Eric Gendron, Roland Wagner, Roberto Ragazzoni, Fabrice Vidal, Fernando Pedichini, Marco Gullieuszik, Richard I. Davies, Gijs Verdoes Kleijn, Seppo Mattila, A. Zanella, Benedetta Vulcani, Roberto Piazzesi, Arnaud Sevin, Bernardo Salasnich, Tapio Helin, Lorenzo Busoni, Andrea Baruffolo, W. Zeilinger, Simone Esposito, Yann Clénet, Elisa Portaluri, Ronny Ramlau, Carmelo Arcidiacono, Renato Falomo, Enrico Pinna
Publikováno v:
Adaptive Optics Systems VII, 11448
The point spread function reconstruction (PSF-R) capability is a deliverable of the MICADO@ESO-ELT project. The PSF-R team works on the implementation of the instrument software devoted to reconstruct the point spread function (PSF), independently of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::157579b453c36960dea1a831fe3d5118
https://hdl.handle.net/11370/19c15a0b-baeb-4989-b18d-51b9d0aeadde
https://hdl.handle.net/11370/19c15a0b-baeb-4989-b18d-51b9d0aeadde