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Information about the spin state of asteroids is important for ourunderstanding of the dynamical processes affecting them. However, spinproperties of asteroids are known for only a small fraction of the wholepopulation. To enlarge the sample of asteroids with a known rotation state andbasic shape properties, we combined sparse-in-time photometry from the LowellObservatory Database with flux measurements from NASA's WISE satellite. Weapplied the light curve inversion method to the combined data. The thermalinfrared data from WISE were treated as reflected light because the shapes ofthermal and visual light curves are similar enough for our purposes. Whilesparse data cover a wide range of geometries over many years, WISE datatypically cover an interval of tens of hours, which is comparable to thetypical rotation period of asteroids. The search for best-fitting models wasdone in the framework of the Asteroids@home distributed computing project. Byprocessing the data for almost 75,000 asteroids, we derived unique shape modelsfor about 900 of them. Some of them were already available in the DAMITdatabase and served us as a consistency check of our approach. In total, wederived new models for 662 asteroids, which significantly increased the totalnumber of asteroids for which their rotation state and shape are known. Foranother 789 asteroids, we were able to determine their sidereal rotation periodand estimate the ecliptic latitude of the spin axis direction. We studied thedistribution of spins in the asteroid population. We revealed a significantdiscrepancy between the number of prograde and retrograde rotators forasteroids smaller than about 10 km. Combining optical photometry with thermalinfrared light curves is an efficient approach to obtaining new physical modelsof asteroids.

Asteroid models reconstructed from the Lowell Photometric Database and WISE data