GIGJ：一个预测JUNO实验地中微子信号的广东省地壳重力模型
GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment
摘要：
重力测量方法预计将在应用于地中微子研究的区域地壳结构的地球物理模拟中发挥决定性作用。GIGJ（GOCE Inversion for Geoneutrinos at JUNO）是一个3D数值模式，由约46 x 10 $^{3}$体素（50 x 50 x 0.1 km）组成，通过以江门地下中微子观测站（JUNO）实验为中心的6° x 4°区域的重力数据反演而建立，该实验目前正在中国广东省建设。先验建模的基础是采用深地震测深剖面、接收函数、超声波P波速度模型和莫霍面深度图，根据其自身的精度和空间分辨率。反演方法允许通过贝叶斯方法和随机优化将GOCE数据与先验信息和正则化条件相结合。GIGJ拟合均匀分布的GOCE重力数据，具有高精度的特点，残差的标准差约为1 mGal，与观测精度相一致。与现有的全球模型相反，GIGJ提供了一个特定地点的地壳层质量细分，其中不确定性包括与重力解相关的估计误差，以及与采用固定沉积层相关的系统不确定性。地壳层厚度的这种局部重排的结果是中地壳和下地壳预期的地中微子信号分别减少约21%和增加约24%。最后，由分布在上、中、下地壳的单一铀和钍丰度产生的JUNO地中微子信号的地球物理不确定度分别降低了77%、55%和78%。该数值模型可在http://www.fe.infn.it/u/radioactivity/GIGJ上获取
英文摘要：
Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6° x 4° area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. The inversion method allowed for integrating GOCE data with the a-priori information and regularization conditions through a Bayesian approach and a stochastic optimization. GIGJ fits the homogeneously distributed GOCE gravity data, characterized by high accuracy, with a ~1 mGal standard deviation of the residuals, compatible with the observation accuracy. Conversely to existing global models, GIGJ provides a site-specific subdivision of the crustal layers masses which uncertainties include estimation errors, associated to the gravimetric solution, and systematic uncertainties, related to the adoption of a fixed sedimentary layer. A consequence of this local rearrangement of the crustal layer thicknesses is a ~21% reduction and a ~24% increase of the middle and lower crust expected geoneutrino signal, respectively. Finally, the geophysical uncertainties of geoneutrino signals at JUNO produced by unitary uranium and thorium abundances distributed in the upper, middle and lower crust are reduced by 77%, 55% and 78%, respectively. The numerical model is available at http://www.fe.infn.it/u/radioactivity/GIGJ
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