Optimization Methods for Asteroid Lightcurve Inversion. II. The Complete Inverse Problem

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DAMIT: a database of asteroid models (2010, methodology): “The errors of the shape determination were discussed in Kaasalainen & Torppa (2001) and Kaasalainen et al. (2001).”
HST SPECTRAL MAPPING OF L/T TRANSITION BROWN DWARFS REVEALS CLOUD THICKNESS VARIATIONS (2013, methodology): “Since then, different variants of this idea have been used successfully to derive asteroid shapes from photometry (e.g. Kaasalainen et al. 2001; Kaasalainen & Viikinkoski 2012), to map their surface composition from spectral mapping (e.g. Binzel et al. 1995), to map starspots via photometry and…”
A study of asteroid pole-latitude distribution based on an extended set of shape models derived by the lightcurve inversion method (2011, methodology): “The lightcurve inversion method (LI) is a powerful tool that allows us to derive basic physical properties of asteroids (the rotational state and the shape) from their disk-integrated photometry (see Kaasalainen & Torppa 2001; Kaasalainen et al. 2001, 2002).”