Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect
arXiv:2411.02653 · doi:10.1051/0004-6361/202451789
Abstract
Surface temperature distribution is crucial for thermal property-based studies about irregular asteroids in our Solar System. While direct numerical simulations could model surface temperatures with high fidelity, they often take a significant amount of computational time, especially for problems where temperature distributions are required to be repeatedly calculated. To this end, deep operator neural network (DeepONet) provides a powerful tool due to its high computational efficiency and generalization ability. In this work, we applied DeepONet to the modelling of asteroid surface temperatures. Results show that the trained network is able to predict temperature with an accuracy of ~1% on average, while the computational cost is five orders of magnitude lower, hence enabling thermal property analysis in a multidimensional parameter space. As a preliminary application, we analyzed the orbital evolution of asteroids through direct N-body simulations embedded with instantaneous Yarkovsky effect inferred by DeepONet-based thermophysical modelling.Taking asteroids (3200) Phaethon and (89433) 2001 WM41 as examples, we show the efficacy and efficiency of our AI-based approach.
accepted for publication in "Astronomy & Astrophysics"
References in corpus (20)
- DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
- A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications
- Thermal inertia of near-Earth asteroids and implications for the magnitude of the Yarkovsky effect
- Orbit and Bulk Density of the OSIRIS-REx Target Asteroid (101955) Bennu
- The Yarkovsky and YORP Effects
- Asteroid thermophysical modeling
- Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads
- Yarkovsky-driven impact risk analysis for asteroid (99942) Apophis
- The Influence of Rough Surface Thermal-Infrared Beaming on the Yarkovsky and YORP Effects
- Near-Earth asteroid (3200) Phaethon. Characterization of its orbit, spin state, and thermophysical parameters
- Thermo-physical properties of 162173 (1999 JU3), a potential flyby and rendezvous target for interplanetary missions
- New and updated convex shape models of asteroids based on optical data from a large collaboration network
- (3200) Phaethon: Bulk density from Yarkovsky drift detection
- An anisotropic distribution of spin vectors in asteroid families
- Physical Properties of OSIRIS-REx Target Asteroid (101955) 1999 RQ36 derived from Herschel, ESO-VISIR and Spitzer observations
- Assessment of the 2880 impact threat from asteroid (29075) 1950 DA
- A thermophysical analysis of the (1862) Apollo Yarkovsky and YORP effects
- Investigation of Systematic Bias in Radiometric Diameter Determination of Near-Earth Asteroids: the Night Emission Simulated Thermal Model (NESTM)
- Surface Thermophysical Properties determination of OSIRIS-REx target asteroid (101955) Bennu
- Trojan asteroids and co-orbital dust ring of Venus