Techniques in astrostatistics help astronomers characterize large amounts of data. The authors of today’s astrobite use data-driven astrostatistics to distinguish between populations of hot Jupiters in a sample. It’s a technique that can definitely be put to good use over the next few decades, as oodles of observations pour in from the new telescopes of the 21st century.
Many massive stars die as supernovae, although connection between a star’s life and it’s death is unclear. Today’s paper uses statistical distributions of massive stars and supernovae to link together both ends of the story.
The latest science from a few early-career researchers.
AutoScan was able to correctly identify real sources in the validation set 96% of the time, with a false detection (claiming an artifact to be a source) rate of only 2.5%.
Part two of our recap of the “Modern Statistical and Computational Methods for Analysis of Kepler Data” workshop in North Carolina, featuring both astronomers and statisticians!
A recap of the “Modern Statistical and Computational Methods for Analysis of Kepler Data” workshop in North Carolina, featuring both astronomers and statisticians!