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4 papers · 1 filter
A general framework for unbiased tests of gravity using galaxy clusters
Myles A. Mitchell
We present a Markov chain Monte Carlo pipeline which can be used for unbiased large-scale tests of gravity using galaxy cluster observations. The pipeline, which currently uses clu…
A general framework to test gravity using galaxy clusters V: A self-consistent pipeline for unbiased constraints of gravity
Myles A. Mitchell, Christian Arnold, Baojiu Li
We present a Markov chain Monte Carlo pipeline that can be used for robust and unbiased constraints of gravity using galaxy cluster number counts. This pipeline makes use of…
A general framework to test gravity using galaxy clusters IV: Cluster and halo properties in DGP gravity
Myles A. Mitchell, César Hernández-Aguayo, Christian Arnold +1
We study and model the properties of galaxy clusters in the normal-branch Dvali-Gabadadze-Porrati (nDGP) model of gravity, which is representative of a wide class of theories which…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…