近年来，随着天文观测技术的进步，我们对系外行星的认识不断深化。系外行星探索已从单纯的发现转变为深入探究其大气和内部结构，以寻找可能适宜人类居住的行星，这涉及到“地球是否唯一”以及“行星如何成为生命摇篮”等重大科学问题。然而，如何准确快速地推断这些遥远世界的内部结构，依然是一个重大挑战。我们利用机器学习技术，在这一领域取得了重要突破。我们发表的系列研…
2024.08.31 update When using radis==0.15.1, there may be an error "'MdbExomol' object has no attribute 'n_Texp'". pip install radis==0.15.0 could fix it. Introduction ExoJAX —…
In [1]: import numpy as np # from petitRADTRANS import Radtrans import matplotlib.pyplot as plt # from petitRADTRANS import nat_cst as nc import JW_lib import spectres import …
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Our recent interesting work involves comparing machine-learning methods with traditional Bayesian inference in determining the interior structure of rocky exoplanets with large compositional diversity. The study demonstrates that the MDN model outperforms the traditional MCMC method in terms of computational efficiency, while also requiring less specialized knowledge. For more details, please read the full article here: https://doi.org/10.3847/1538-4365/ad3f1c
Significance of the Research Thousands of exoplanets with varying masses, radii, and orbital parameters have been discovered and confirmed to orbit other stars, including hot …