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Picture for Sebastian Wagner-Carena

Sebastian Wagner-Carena

for the LSST Dark Energy Science Collaboration

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant


Nov 30, 2020
Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman

* 21 pages (+2 appendix), 17 figures. To be submitted to ApJ. Code at https://github.com/jiwoncpark/h0rton 

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Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing


Oct 28, 2020
Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman, Risa H. Wechsler

* Code available at https://github.com/swagnercarena/ovejero 

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A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis


Oct 17, 2019
Sebastian Wagner-Carena, Max Hopkins, Ana Diaz Rivero, Cora Dvorkin

* 22 pages, 16 figures 

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