47 citations · 160 across the 5 of their papers we have counts for
5 papers
Image segmentation for analyzing galaxy-galaxy strong lensing systems
Bryan Ostdiek, Ana Diaz Rivero, Cora Dvorkin
The goal of this paper is to develop a machine learning model to analyze the main gravitational lens and detect dark substructure (subhalos) within simulated images of strongly len…
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis
Sebastian Wagner-Carena, Max Hopkins, Ana Diaz Rivero +1
We present a novel technique for Cosmic Microwave Background (CMB) foreground subtraction based on the framework of blind source separation. Inspired by previous work incorporating…
Neutrino Mass from Cosmology: Probing Physics Beyond the Standard Model
Cora Dvorkin, Martina Gerbino, David Alonso +11
Recent advances in cosmic observations have brought us to the verge of discovery of the absolute scale of neutrino masses. Nonzero neutrino masses are known evidence of new physics…
On the Power Spectrum of Dark Matter Substructure in Strong Gravitational Lenses
Ana Diaz Rivero, Francis-Yan Cyr-Racine, Cora Dvorkin
Studying the smallest self-bound dark matter structure in our Universe can yield important clues about the fundamental particle nature of dark matter. Galaxy-scale strong gravitati…
Probing the small-scale structure in strongly lensed systems via transdimensional inference
Tansu Daylan, Francis-Yan Cyr-Racine, Ana Diaz Rivero +2
Strong lensing is a sensitive probe of the small-scale density fluctuations in the Universe. We implement a novel approach to modeling strongly lensed systems using probabilistic c…