Extreme Sensitivity of the YORP Effect to Small-Scale Topography

Details Extreme Sensitivity of the YORP Effect to Small-Scale Topography Extreme Sensitivity of the YORP Effect to Small-Scale Topography

2009-03-05

arxiv.org/abs/0903.1119v1

Astronomy and Astrophysics

Astrophysics

Earth and Planetary Astrophysics

Icarus, accepted. 18 pp., 15 fig

Scientific paper

Radiation recoil (YORP) torques are shown to be extremely sensitive to small-scale surface topography. Starting from simulated objects representative of the near-Earth object population, random realizations of three types of small-scale topography are added: Gaussian surface fluctuations, craters, and boulders. For each, the resulting expected relative errors in the spin and obliquity components of the YORP torque are computed. Gaussian power produces errors of order 100% if observations constrain the surface to a spherical harmonic order l < 10. A single crater with diameter roughly half the object's mean radius, placed at random locations, results in errors of several tens of percent. Boulders create torque errors roughly 3 times larger than do craters of the same diameter. A single boulder comparable to Yoshinodai on 25143 Itokawa, moved by as little as twice its own diameter, can alter the magnitude of the torque by factors of several, and change the sign of its spin component at all obliquities. A YORP torque prediction derived from groundbased data can be expected to be in error by of order 100% due to unresolved topography. Small surface changes caused by slow spin-up or spin-down may have significant stochastic effects on the spin evolution of small bodies. For rotation periods between roughly 2 and 10 hours, these unpredictable changes may reverse the sign of the YORP torque. Objects in this spin regime may random-walk up and down in spin rate before the rubble-pile limit is exceeded and fissioning or loss of surface objects occurs. Similar behavior may be expected at rotation rates approaching the limiting values for tensile-strength dominated objects.

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