Tools for Probing the Universe: from the Smallest to Largest and All Scales In Between

 Jeff Scargle will describe non-standard data analysis methods for extracting scientific information from time series and other data. Examples include large scale structure in the distribution of galaxies, detection of extrasolar planets, "meta-analysis" of clinical studies and psychic phenomena, variability of Fermi Gamma Ray Space Telescope sources, and the search for quantum gravity effects at the smallest possible space-time scales.

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