92 citations · 125 across the 4 of their papers we have counts for
7 papers
Radio frequency interference mitigation using deep convolutional neural networks
Joel Akeret, Chihway Chang, Aurelien Lucchi +1
We propose a novel approach for mitigating radio frequency interference (RFI) signals in radio data using the latest advances in deep learning. We employ a special type of Convolut…
An Integrated System at the Bleien Observatory for Mapping the Galaxy
Chihway Chang, Christian Monstein, Joel Akeret +5
We describe the design and performance of the hardware system at the Bleien Observatory. The system is designed to deliver a map of the Galaxy for studying the foreground contamina…
HIDE & SEEK: End-to-End Packages to Simulate and Process Radio Survey Data
Joel Akeret, Sebastian Seehars, Chihway Chang +3
As several large single-dish radio surveys begin operation within the coming decade, a wealth of radio data will become available and provide a new window to the Universe. In order…
Approximate Bayesian Computation for Forward Modeling in Cosmology
Joel Akeret, Alexandre Refregier, Adam Amara +2
Bayesian inference is often used in cosmology and astrophysics to derive constraints on model parameters from observations. This approach relies on the ability to compute the likel…
HOPE: A Python Just-In-Time compiler for astrophysical computations
Joel Akeret, Lukas Gamper, Adam Amara +1
The Python programming language is becoming increasingly popular for scientific applications due to its simplicity, versatility, and the broad range of its libraries. A drawback of…
Information Gains from Cosmic Microwave Background Experiments
Sebastian Seehars, Adam Amara, Alexandre Refregier +2
To shed light on the fundamental problems posed by Dark Energy and Dark Matter, a large number of experiments have been performed and combined to constrain cosmological models. We…