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.
Tools for Probing the Universe: from the Smallest to Largest and All Scales In Between
Lecture Details
Lecture Date
Wednesday, March 11, 2009 - 5:46pm
Name
Jeffrey Scargle
Affiliation
NASA Ames Space Science Division
Abstract
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Lectures Topics
- Analysis of Data (14)
- Asteroids (17)
- Astrobiology (35)
- Earth Sciences (16)
- Human Spaceflight (19)
- Mars (33)
- Observational Astronomy (36)
- Outer Planets (24)
- Primitive Bodies (6)
- REU Program (3)
- SETI (26)
- The Moon (5)
- Theoretical Astronomy (18)
- Uncategorized (17)
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