Context. Extensive photometric surveys continue to produce enormous stores of data on small bodies. These data are typically sparsely obtained at arbitrary (or unknown) rotational phases. Therefore, new methods for processing such data need to be developed to make the most of these vast catalogs. Aims. We aim to produce a method of recreating the phase curves of small bodies by considering the uncertainties introduced by the nominal errors in the magnitudes and the effect introduced by rotational variations. We use the SLOAN Moving Objects Catalog data as a benchmark to construct phase curves of all small bodies in u′, g′, r′, i′, and z′ filters. From the phase curves, we obtain the absolute magnitudes and we use them to set up the absolute...
We fit 54,296 sparsely sampled asteroid light curves in the Palomar Transient Factory survey to a co...
Context: We use phase curves of small bodies to measure absolute magnitudes and, together with compl...
We present Markov-Chain Monte-Carlo methods (MCMC) for the derivation of empirical model parameters ...
Extensive photometric surveys continue to produce enormous stores of data on small bodies. These dat...
Context. Extensive photometric surveys continue to produce enormous stores of data on small bodies. ...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
Context. We use the phase curves of small bodies to measure absolute magnitudes and, together with c...
Context. We use the phase curves of small bodies to measure absolute magnitudes and, together with c...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
International audienceAsteroid phase curves are used to derive fundamental physical properties throu...
Photometry is an important tool for characterizing the physical properties of asteroids. An asteroid...
This is an open-access article distributed under the terms of the Creative Commons Attribution Licen...
Phase curves of asteroids are typically considered to depend solely on the scattering properties of ...
We fit 54,296 sparsely sampled asteroid light curves in the Palomar Transient Factory survey to a co...
We fit 54,296 sparsely sampled asteroid light curves in the Palomar Transient Factory survey to a co...
Context: We use phase curves of small bodies to measure absolute magnitudes and, together with compl...
We present Markov-Chain Monte-Carlo methods (MCMC) for the derivation of empirical model parameters ...
Extensive photometric surveys continue to produce enormous stores of data on small bodies. These dat...
Context. Extensive photometric surveys continue to produce enormous stores of data on small bodies. ...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
Context. We use the phase curves of small bodies to measure absolute magnitudes and, together with c...
Context. We use the phase curves of small bodies to measure absolute magnitudes and, together with c...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
Aims. We perform light curve inversion for 491 asteroids to retrieve phase curve parameters, rotatio...
International audienceAsteroid phase curves are used to derive fundamental physical properties throu...
Photometry is an important tool for characterizing the physical properties of asteroids. An asteroid...
This is an open-access article distributed under the terms of the Creative Commons Attribution Licen...
Phase curves of asteroids are typically considered to depend solely on the scattering properties of ...
We fit 54,296 sparsely sampled asteroid light curves in the Palomar Transient Factory survey to a co...
We fit 54,296 sparsely sampled asteroid light curves in the Palomar Transient Factory survey to a co...
Context: We use phase curves of small bodies to measure absolute magnitudes and, together with compl...
We present Markov-Chain Monte-Carlo methods (MCMC) for the derivation of empirical model parameters ...