Cellinoid shape model for multiple light curves

Lü, Xiaoping; Ip, Wing-Huen

doi:10.1016/j.pss.2014.12.019

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Ďurech et al (2010) and Ďurech et al (2011) utilized Kaasalainen's technique to determine the physical parameters of hundreds of asteroids. Lu & Ip (2015), Lu et al (2016Lu et al ( , 2017Lu et al ( , 2018, and Lu & Jewitt (2019) utilized the Cellinoid model for inverting asteroids and proposed the adoption of the Lebedev quadrature method to enhance the inversion process. The disk-integrated brightness method combined with the Lommel-Seeliger ellipsoid model has been employed by Muinonen & Lumme (2015) and to effectively invert physical parameters such as rotational period and shape using both sparse and dense photometric data.…”

Section: Introductionmentioning

confidence: 99%

Modeling Binary Asteroids: Integrating Orbital and Rotational Motion for Physical Property Inversion

Lu,

Zhang,

Zhao

et al. 2024

ApJ

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The field of space science places significant emphasis on deep space exploration, with a particular focus on asteroids as a potential hazard to humanity. Inverting their physical characteristics from photometric observations is essential for uncovering their origins and evolution. This article attempts to present a solution to the challenging task of estimating the physical properties of binary asteroids, which are common in near-Earth asteroids larger than 200 meters. A novel model for binary asteroids is proposed, which integrates orbital and rotational motions to simulate brightness variations based on two Cellinoid shapes. The model combines the projection and occultation effects of the shapes to generate the simulated brightness. The inversion of determining physical properties is optimized based on the Levenberg–Marquardt algorithm through a simulation process involving several parameter corrections. Finally, the performance of the proposed model is demonstrated through numerical experiments and applications to two real binary asteroids, namely, asteroid (317) Roxane and asteroid (624) Hektor. The derived results are nearly identical to those from other publications, which confirms that the proposed model provides reliable and accurate estimations of the physical properties of binary asteroids. Additionally, this method has a potential application in supporting the development of effective strategies for the Double Asteroid Redirection Test (DART) project, the first planetary defense experiment in space undertaken by humans.

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Section: Introductionmentioning

confidence: 99%

Modeling Binary Asteroids: Integrating Orbital and Rotational Motion for Physical Property Inversion

Lu,

Zhang,

Zhao

et al. 2024

ApJ

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“…The inversion tests conducted by Cellino et al (2015) on both simulated and real photometric data using the Muinonen method further contributed to the field. Inversions on asteroids like (6) Hebe and (7) Iris were performed using the Cellinoid model and Hipparcos data by Lu & Ip (2015), Lu et al (2016Lu et al ( , 2017, Lu et al (2018) and Lu & Jewitt (2019). These studies also advocated the use of the Lebedev quadrature method to accelerate the inversion process.…”

Section: Introductionmentioning

confidence: 99%

Accelerating Asteroidal Period and Pole Inversion from Multiple Lightcurves Using Parallel Differential Evolution and Cellinoid Shape Model

Zhang,

Guo,

et al. 2024

Res. Astron. Astrophys.

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Determining asteroid properties provides valuable physical insights but inverting them from photometric lightcurves remains computationally intensive. This paper presents a new approach that combines a simplified Cellinoid shape model with the Parallel Differential Evolution (PDE) algorithm to accelerate inversion. The PDE algorithm is more efficient than the Differential Evolution (DE) algorithm, achieving an extraordinary speedup of 37.983 with 64 workers on multicore CPUs. The PDE algorithm accurately derives period and pole values from simulated data. The analysis of real asteroid lightcurves validates the method's reliability: in comparison with results published elsewhere, the PDE algorithm accurately recovers the rotational periods and, given adequate viewing geometries, closely matches the pole orientations. The PDE approach converges to solutions within 20,000 iterations and under one hour, demonstrating its potential for large-scale data analysis. This work provides a promising new tool for unveiling asteroid physical properties by overcoming key computational bottlenecks.

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“…Being composed of primitive matter from the early solar system, an asteroid can reveal the evolution mechanism of planets and provide information on the formation of our solar system (DeMeo & Carry 2014). By using ground-based observations, the physical properties of asteroids can be derived from their photometric data such as rotational periods, pole orientations and overall shapes (Lu et al 2013(Lu et al , 2014Lu & Ip 2015;Lu et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Scattering Law Analysis Based on Hapke and Lommel-Seeliger Models for Asteroidal Taxonomy

Huang

et al. 2017

Res. Astron. Astrophys.

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In deriving the physical properties of asteroids from their photometric data, the scattering law plays an important role, although the shape variations of asteroids result in the main variations in lightcurves. By following the physical behaviors of light reflections, Hapke et al. deduced complex functions to represent the scattering process, however, it is very hard to accurately simulate the surface scattering law in reality. For simplicity, other numerical scattering models are presented for efficiently calculating the physical properties of asteroids, such as the Lommel-Seeliger (LS) model. In this article, these two models are compared numerically. It is found that in some numerical applications the LS model in simple form with four parameters can be exploited to replace the Hapke model in complex form with five parameters. Furthermore, the generated synthetic lightcurves by the Cellinoid shape model also show that the LS model can perform as well as the Hapke model in the inversion process. Finally, by applying the Principal Component Analysis (PCA) technique to the parameters of the LS model, we present an efficient method to classify C and S type asteroids, instead of the conventional method using the parameters of the Hapke model.

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Cellinoid shape model for multiple light curves

Cited by 8 publications

References 13 publications

Modeling Binary Asteroids: Integrating Orbital and Rotational Motion for Physical Property Inversion

Modeling Binary Asteroids: Integrating Orbital and Rotational Motion for Physical Property Inversion

Accelerating Asteroidal Period and Pole Inversion from Multiple Lightcurves Using Parallel Differential Evolution and Cellinoid Shape Model

Scattering Law Analysis Based on Hapke and Lommel-Seeliger Models for Asteroidal Taxonomy

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