Optimization Methods for Asteroid Lightcurve Inversion: I. Shape Determination
By Mikko Kaasalainen, J. Torppa. 2001
351 citations recorded by the source corpus.
Subfields: Astronomy and Astrophysics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e5c8d4ef1ec1b39cf74f466a560be47620587807
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
In Statistical and Nonlinear Physics
Citations in the corpus
- 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).”
- Shapes and rotational properties of thirty asteroids from photometric data (2003, background): “Recent studies have demonstrated the usefulnes photometric lightcurves in detailed modelling of astero (Kaasalainen and Torppa, 2001, hereafter KT; Kaasala et al., 2001, 2002b, hereafter P I and P II; Mottola a Lahulla, 2000; Pravec and Hahn, 1997;Ďurech, 2002).”
- 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).”
- Extreme sensitivity of the YORP effect to small-scale topography (2009, background): “ceable features in high phase-angle light curves; however, light curve inversion performs poorly in recoveringsurface concavities because the inversion problem is non-unique(Kaasalainen et al., 1992; Kaasalainen and Torppa, 2001). The convex, pre-encounter model of the Rosetta target 2867 Steins (La”