Papers of interest on the arXiv today – Sept 26th 2016
Two interesting papers on the methodology side today: A ML source detection method that detects ultra-faint streaks below the pixel level noise (arXiv:1609.07158). They call it “ML” but in reality it uses MCMC to look at the Bayesian posterior (which is arguably a good thing!) and even Bayesian model comparison (in the BIC variety) to determine […]
PhD projects for Oct 2014 entry
For details about funding and how to apply, please visit this page. 1) Direct detection of dark matter and global fits Identifying the nature of the dark matter (DM) that inhabits the Universe is arguably the most compelling undertaking in astrophysics and particle physics today. Current searches for DM include: – The Large Hadron Collider (LHC) at […]
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