A Statistical Stability Analysis of Earth‐like Planetary Orbits in Binary Systems
Author(s) -
Marco Fatuzzo,
Fred C. Adams,
Richard Gauvin,
Eva M. Proszkow
Publication year - 2006
Publication title -
publications of the astronomical society of the pacific
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.294
H-Index - 172
eISSN - 1538-3873
pISSN - 0004-6280
DOI - 10.1086/508999
Subject(s) - physics , orbital elements , orbital mechanics , planetary system , eccentricity (behavior) , planet , orbital inclination , exoplanet , orbit (dynamics) , gaussian , orbital plane , astrophysics , binary number , orbital eccentricity , celestial mechanics , statistical physics , astronomy , mathematics , quantum mechanics , arithmetic , satellite , engineering , political science , law , aerospace engineering
This paper explores the stability of an Earth-like planet orbiting asolar-mass star in the presence of a stellar companion using ~ 400,000numerical integrations. Given the chaotic nature of the systems beingconsidered, we perform a statistical analysis of the ensuing dynamics for ~500orbital configurations defined by the following set of orbital parameters: thecompanion mass; the companion eccentricity; the companion periastron; and theplanet's inclination angle relative to the stellar binary plane. Specifically,we generate a large sample of survival times for each orbital configurationthrough the numerical integration of N >> 1 equivalent experiments (e.g., withthe same orbital parameters but randomly selected initial orbital phases). Wethen construct distributions of survival time using the variable mu_s = logtau_s (where tau_s is in years) for each orbital configuration. The primaryobjective of this work is twofold. First, we use the mean of the distributionsto gain a better understanding of what orbital configurations, while unstable,have sufficiently long survival times to make them interesting to the study ofplanet habitability. Second, we calculate the width, skew, and kurtosis of eachmu_s distribution and look for general features that may aid furtherunderstanding and numerical exploration of these chaotic systems.Comment: accepted for publication in PAS
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