Search Results for author: Camille Avestruz

Found 8 papers, 3 papers with code

Scalable Bayesian Inference for Detection and Deblending in Astronomical Images

1 code implementation12 Jul 2022 Derek Hansen, Ismael Mendoza, Runjing Liu, Ziteng Pang, Zhe Zhao, Camille Avestruz, Jeffrey Regier

We present a new probabilistic method for detecting, deblending, and cataloging astronomical sources called the Bayesian Light Source Separator (BLISS).

Bayesian Inference Variational Inference

DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning

no code implementations25 Feb 2021 Zhen Lin, Nicholas Huang, Camille Avestruz, W. L. Kimmy Wu, Shubhendu Trivedi, João Caldeira, Brian Nord

We present a comparison between two methods of cluster identification: the standard Matched Filter (MF) method in SZ cluster finding and a method using Convolutional Neural Networks (CNN).

SHAPing the Gas: Understanding Gas Shapes in Dark Matter Haloes with Interpretable Machine Learning

no code implementations25 Nov 2020 Luis Fernando Machado Poletti Valle, Camille Avestruz, David J. Barnes, Arya Farahi, Erwin T. Lau, Daisuke Nagai

In this study we explore a machine learning approach for modelling the dependence of gas shapes on dark matter and baryonic properties.

Cosmology and Nongalactic Astrophysics

DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks

1 code implementation2 Oct 2018 João Caldeira, W. L. Kimmy Wu, Brian Nord, Camille Avestruz, Shubhendu Trivedi, Kyle T. Story

In this work, we demonstrate reconstruction of the CMB lensing potential with deep convolutional neural networks (CNN) - ie, a ResUNet.

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