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

作　　者：Yong-Xiong Zhang Wen-Xiu Guo Xiao-Ping Lu Hua Zheng Hai-Bin Zhao Jun Tian Wei-Lin Wang 

机构地区：[1]School of Engineering,Guangzhou College of Technology and Business,Guangzhou 510850,China [2]School of Computer Science and Engineering,Macao University of Science and Technology,Taipa,Macao 999078,China [3]School of Mathematics and Statistics,Shaoguan University,Shaoguan 512099,China [4]State Key Laboratory of Lunar and Planetary Sciences,Macao University of Science and Technology,Macao 999078,China [5]Key Laboratory of Planetary Sciences,Purple Mountain Observatory,CAS,Nanjing 210023,China

出　　处：《Research in Astronomy and Astrophysics》2024年第4期271-286,共16页天文和天体物理学研究（英文版）

基　　金：supported by the Characteristic innovation project of Guangdong Provincial Department of Education(No.2023KTSCX195);Scientific Computing Research Innovation Team of Guangdong Province(No.2021KCXTD052);Guangdong Key Construction Discipline Research Capacity Enhancement Project(No.2022ZD JS049);Technology Planning Project of Shaoguan(No.230330108034184);Science and Technology Development Fund,Macao SAR(No.0096/2022/A)。

摘　　要：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 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.

关 键 词：methods:numerical minor planets asteroids:general techniques:photometric astrom 

分 类 号：P18[天文地球—天文学]