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Maximizing Gyrochronology Effectiveness through Phase Dispersion Minimization

Explore the efficacy of phase dispersion minimization in gyrochronology using simulated and real telescope data, with emphasis on minimizing errors for accurate age comparisons. Learn about challenges faced and insights gained from the Catalina Sky Survey data.

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Maximizing Gyrochronology Effectiveness through Phase Dispersion Minimization

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  1. Effectiveness Of Phase Dispersion Minimization In Gyrochronology By: Jeremy Stone

  2. Introduction Simulated Data Barry Lutz Telescope (BLT) Data Catalina Sky Survey Data

  3. Example Light Curve • Period = 7 days • Amplitude = .05 • Random error = 2% Magnitude Period (Minutes)

  4. Light Curve Magnitude Period (Days)

  5. Period 1 Theta .9 .8 0 2 4 6 8 10 Period (days)

  6. HIP 19859 Target Star

  7. HIP 19859 Light Curve Relative Magnitude Date (HJD)

  8. HIP 19859 Period 1 .8 .6 Theta .4 .2 0 2 4 6 8 10 Period (Days)

  9. Problems and Difficulties Weather Technical Issues Errors

  10. Catalina Sky Survey

  11. Catalina Sky Survey Started in 2005 Searching for near Earth objects Photometry on 198 million objects

  12. HIP 3998 Light Curve

  13. PDM 1.5 Theta 1 .95 .9 .85 .4 .6 .8 1 Period (Days)

  14. Comparing Ages • Collected ages from published papers • Gyrochonology equation • P(B-V,t) = f(B-V) * g(t) • Where f(B-V) = (0.7725 ± 0.011) (B-V0-0.4)0.601±0.024 • And g(t)=t0.5189±0.0070

  15. Thanks NASA Space Grant Northern Arizona University Dr. Koerner Dr. Barlow and Kathleen Stigmon

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