Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Asteroid phase curves reconstructed with light curve inversion – prospects for LSST

View through CrossRef
Asteroids’ phase curves – the dependence of their brightness on the solar phase angle – carry information about asteroid surface properties in terms of light scattering. Phase curves are related to surface roughness, albedo, and taxonomic classification. In its basic form, a phase curve plots an asteroid’s brightness reduced to unit distance from the Sun and the Earth as a function of the phase angle (Sun–asteroid–Earth). Observed phase curves fitted with a theoretical model serve to estimate the absolute magnitude H (Bowell et al. 1989; Muinonen et al. 2010). However, an asteroid’s brightness depends not only on the phase angle; it also varies with changing geometry and rotation, so these factors inevitably affect real phase curves. Several techniques have been used to account for these effects (Muinonen et al. 2020, 2022; Carry et al. 2024). In our approach, we use the light curve inversion method of Kaasalainen & Torppa (2001); Kaasalainen et al. (2001), where the phase curve is expressed as a combination of linear and exponential functions with three parameters that are optimized during the modeling. This way, the shape and geometry effects areremoved, and the phase curve is affected only by measurement errors. When observations in different filters are available, the color shift between the data sets is another information that we extract from the data. Moreover, phase curves are wavelength-dependent, so that each filter can have different parameters, and we can study the phase reddening effects.In the case of LSST of the Vera Rubin Observatory, asteroid photometry will be available in six filters covering wavelengths 320–1050 nm. For a typical main-belt asteroid, 200–300 individual measurements will be taken over 10 years of the survey. Fitting of the phase function will be treated inside the processing pipeline, so the H and G12 parameters for each filter will be provided as part of the data releases. However, for those asteroids for which the light curve inversion will provide a unique model, it will be possible to derive more precise phase curves for all six filters.As a preparatory work before the LSST data will be available, we processed asteroid photometry from these surveys: Catalina, Mt. Lemmon, Pan-STARRS, ZTF, ATLAS, TESS, ASAS-SN, USNO, and Gaia DR3. From about 330,000 processed asteroids, we were able to derive unique spin solutions and corresponding convex shape models for about 23,000. The most abundant data set was ATLAS photometry in cyan and orange filters with hundreds of data points per asteroid. For a subsample of about 15,000 asteroids with abundant ATLAS photometry, we used the model to remove outlying photometric points and derived precise phase curves from ATLAS observations in two filters. This allowed us to compare colors and phase curves of different collisional families, taxonomic types, etc. We also searched for phase coloring effects (Alvarez-Candal 2024; Wilawer et al. 2024; Colazo et al. 2025).The left plot below shows photometric data of asteroid (1495) Helsinki from eight observatories collected over the past two decades. The brightness was reduced to unit distances from the Sun and the Earth and is shown in relative intensity units. The phase curves are affected by different filters, rotational variation, and geometry effects related to changing aspect. The right plot shows the mean phase curve obtained as a result of light curve inversion and residuals scattered around the mean curve.ReferencesAlvarez-Candal, A. 2024, A&A, 685, A29Bowell, E., Hapke, B., Domingue, D., et al. 1989, in Asteroids II, ed. R. P. Binzel, T. Gehrels, & M. S. Matthews (Tucson: University of Arizona Press), 524–556Carry, B., Peloton, J., Le Montagner, R., Mahlke, M., & Berthier, J. 2024, A&A, 687, A38Colazo, M., Oszkiewicz, D., Alvarez-Candal, A., et al. 2025, Icarus, 436, 116577Kaasalainen, M. & Torppa, J. 2001, Icarus, 153, 24Kaasalainen, M., Torppa, J., & Muinonen, K. 2001, Icarus, 153, 37Muinonen, K., Belskaya, I. N., Cellino, A., et al. 2010, Icarus, 209, 542Muinonen, K., Torppa, J., Wang, X. B., Cellino, A., & Penttilä, A. 2020, A&A, 642, A138Muinonen, K., Uvarova, E., Martikainen, J., et al. 2022, Frontiers in Astronomy and Space Sciences, 9, 821125Wilawer, E., Muinonen, K., Oszkiewicz, D., Kryszczy´nska, A., & Colazo, M. 2024, MNRAS, 531, 2802
Title: Asteroid phase curves reconstructed with light curve inversion – prospects for LSST
Description:
Asteroids’ phase curves – the dependence of their brightness on the solar phase angle – carry information about asteroid surface properties in terms of light scattering.
Phase curves are related to surface roughness, albedo, and taxonomic classification.
In its basic form, a phase curve plots an asteroid’s brightness reduced to unit distance from the Sun and the Earth as a function of the phase angle (Sun–asteroid–Earth).
Observed phase curves fitted with a theoretical model serve to estimate the absolute magnitude H (Bowell et al.
1989; Muinonen et al.
2010).
However, an asteroid’s brightness depends not only on the phase angle; it also varies with changing geometry and rotation, so these factors inevitably affect real phase curves.
Several techniques have been used to account for these effects (Muinonen et al.
2020, 2022; Carry et al.
2024).
 In our approach, we use the light curve inversion method of Kaasalainen & Torppa (2001); Kaasalainen et al.
(2001), where the phase curve is expressed as a combination of linear and exponential functions with three parameters that are optimized during the modeling.
This way, the shape and geometry effects areremoved, and the phase curve is affected only by measurement errors.
When observations in different filters are available, the color shift between the data sets is another information that we extract from the data.
Moreover, phase curves are wavelength-dependent, so that each filter can have different parameters, and we can study the phase reddening effects.
In the case of LSST of the Vera Rubin Observatory, asteroid photometry will be available in six filters covering wavelengths 320–1050 nm.
For a typical main-belt asteroid, 200–300 individual measurements will be taken over 10 years of the survey.
Fitting of the phase function will be treated inside the processing pipeline, so the H and G12 parameters for each filter will be provided as part of the data releases.
However, for those asteroids for which the light curve inversion will provide a unique model, it will be possible to derive more precise phase curves for all six filters.
As a preparatory work before the LSST data will be available, we processed asteroid photometry from these surveys: Catalina, Mt.
Lemmon, Pan-STARRS, ZTF, ATLAS, TESS, ASAS-SN, USNO, and Gaia DR3.
From about 330,000 processed asteroids, we were able to derive unique spin solutions and corresponding convex shape models for about 23,000.
The most abundant data set was ATLAS photometry in cyan and orange filters with hundreds of data points per asteroid.
For a subsample of about 15,000 asteroids with abundant ATLAS photometry, we used the model to remove outlying photometric points and derived precise phase curves from ATLAS observations in two filters.
This allowed us to compare colors and phase curves of different collisional families, taxonomic types, etc.
We also searched for phase coloring effects (Alvarez-Candal 2024; Wilawer et al.
2024; Colazo et al.
2025).
The left plot below shows photometric data of asteroid (1495) Helsinki from eight observatories collected over the past two decades.
The brightness was reduced to unit distances from the Sun and the Earth and is shown in relative intensity units.
The phase curves are affected by different filters, rotational variation, and geometry effects related to changing aspect.
The right plot shows the mean phase curve obtained as a result of light curve inversion and residuals scattered around the mean curve.
ReferencesAlvarez-Candal, A.
2024, A&A, 685, A29Bowell, E.
, Hapke, B.
, Domingue, D.
, et al.
1989, in Asteroids II, ed.
R.
P.
Binzel, T.
Gehrels, & M.
S.
Matthews (Tucson: University of Arizona Press), 524–556Carry, B.
, Peloton, J.
, Le Montagner, R.
, Mahlke, M.
, & Berthier, J.
2024, A&A, 687, A38Colazo, M.
, Oszkiewicz, D.
, Alvarez-Candal, A.
, et al.
2025, Icarus, 436, 116577Kaasalainen, M.
& Torppa, J.
2001, Icarus, 153, 24Kaasalainen, M.
, Torppa, J.
, & Muinonen, K.
2001, Icarus, 153, 37Muinonen, K.
, Belskaya, I.
N.
, Cellino, A.
, et al.
2010, Icarus, 209, 542Muinonen, K.
, Torppa, J.
, Wang, X.
B.
, Cellino, A.
, & Penttilä, A.
2020, A&A, 642, A138Muinonen, K.
, Uvarova, E.
, Martikainen, J.
, et al.
2022, Frontiers in Astronomy and Space Sciences, 9, 821125Wilawer, E.
, Muinonen, K.
, Oszkiewicz, D.
, Kryszczy´nska, A.
, & Colazo, M.
2024, MNRAS, 531, 2802.

Related Results

Keyhole-Based Site Selection for Kinetic Impact Deflection of Near-Earth Asteroids
Keyhole-Based Site Selection for Kinetic Impact Deflection of Near-Earth Asteroids
Given present-day asteroid discovery capabilities, near-Earth asteroids (NEAs) are routinely discovered. 3,123 NEAs were discovered in 2024 alone1. Furthermore, new telescopes such...
Optimal Kinetic-Impact Geometry for Asteroid Deflection
Optimal Kinetic-Impact Geometry for Asteroid Deflection
<p><strong>Introduction</strong></p> <p>Kinetic impact is recognized as an effective and feasibl...
Small phase angle polarization properties of regolith-like materials - the "Mixing Effect"
Small phase angle polarization properties of regolith-like materials - the "Mixing Effect"
<p>Polarization phase curves of asteroids and other small airless bodies are influenced by the compositional and physical properties of their regolith. The mixing of ...
Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will provide an unprecedented dataset to explore the Solar System’s small body inventory. The survey will disco...
Simplified access of asteroid spectral data and metadata using classy
Simplified access of asteroid spectral data and metadata using classy
Remote-sensing spectroscopy is the most efficient observational technique to characterise the surface composition of asteroids within a reasonable timeframe. While photometry allow...
Supporting Machine Learning-Based Asteroid Family Classification with Immersive Visualisation
Supporting Machine Learning-Based Asteroid Family Classification with Immersive Visualisation
Asteroid families are groups of small bodies originating from a common progenitor asteroid that fragmented through collisional, tidal or rotational disruptions. Identifying these g...
Regolith dynamics and long term surface evolution on asteroids
Regolith dynamics and long term surface evolution on asteroids
IntroductionSmall planetary bodies, such as asteroids, have surfaces covered with loose granular material known as regolith. This regolith can flow under disturbances from impacts,...
Characterization of a novel HgCdTe focal plane array for ground and space astronomy through innovative infrared setups
Characterization of a novel HgCdTe focal plane array for ground and space astronomy through innovative infrared setups
(English) Nowadays, mercury-cadmium-telluride (MCT) short-wave infrared (SWIR) detectors are widely used in cutting-edge space missions and ground-based telescopes. They take adva...

Back to Top