Exoplanet Transit Analysis Michael Mancinelli Astronomy :00 PM
Problem Undergraduate Transit Confirmation Kepler Light Curves Confirm recorded transit and transit frequency with homemade python tools
Data Exoplanet Archive run by Caltech and JPL Over 4,600 Candidates with 1,831 confirmed planets Data:
Analysis Bias subtraction (model fitting and filtering) Hypothesis Testing with single transit ( α =0.001) Frequency Analysis for entire data set (3 σ & 5 σ )
Results
Data Filtering
Hypothesis Tests (3 σ ) P-Value < – Type I Error: 0.13% – Type II Error: 38.20%
Lomb-Scargle Periodogram
Conclusion Transit events are significant Periodic transits are significant There is an exoplanet