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Laboratory demonstration of an all-fiber-based focal plane nulling interferometer

Autor: Diaz, Jordan, Jensen-Clem, Rebecca, Dillon, Daren, Hinz, Philip M., DeMartino, Matthew C., Bundy, Kevin, Eikenberry, Stephen, Delfyett, Peter, Amezcua-Correa, Rodrigo

Starlight suppression techniques for High-Contrast Imaging (HCI) are crucial to achieving the demanding contrast ratios and inner working angles required for detecting and characterizing exoplanets with a wide range of masses and separations. The adv

Externí odkaz: http://arxiv.org/abs/2407.07230

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Eliciting prior information from clinical trials via calibrated Bayes factor

Autor: Demartino, Roberto Macrì, Egidi, Leonardo, Torelli, Nicola, Ntzoufras, Ioannis

In the Bayesian framework power prior distributions are increasingly adopted in clinical trials and similar studies to incorporate external and past information, typically to inform the parameter associated to a treatment effect. Their use is particu

Externí odkaz: http://arxiv.org/abs/2406.19346

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Mixture priors for replication studies

Autor: Demartino, Roberto Macrì, Egidi, Leonardo, Held, Leonhard, Pawel, Samuel

Replication of scientific studies is important for assessing the credibility of their results. However, there is no consensus on how to quantify the extent to which a replication study replicates an original result. We propose a novel Bayesian approa

Externí odkaz: http://arxiv.org/abs/2406.19152

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Photonic lantern wavefront reconstruction in a multi-wavefront sensor single-conjugate adaptive optics system

Autor: Sengupta, Aditya R., Diaz, Jordan, Gerard, Benjamin L., Jensen-Clem, Rebecca, Dillon, Daren, DeMartino, Matthew, Bundy, Kevin, Cetre, Sylvain, Chambouleyron, Vincent

Exoplanet direct imaging using adaptive optics (AO) is often limited by non-common path aberrations (NCPAs) and aberrations that are invisible to traditional pupil-plane wavefront sensors (WFSs). This can be remedied by focal-plane (FP) WFSs that cha

Externí odkaz: http://arxiv.org/abs/2406.07771

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Alternative ranking measures to predict international football results

Autor: Demartino, Roberto Macrì, Egidi, Leonardo, Torelli, Nicola

Over the last few years, there has been a growing interest in the prediction and modelling of competitive sports outcomes, with particular emphasis placed on this area by the Bayesian statistics and machine learning communities. In this paper, we hav

Externí odkaz: http://arxiv.org/abs/2405.10247

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