bluuebunny/crossref_metadata_2025_split huggingface dataset:
The investigation of the radiation shielding features of boro-tellurite glasses containing bismuth and titanium via FLUKA code
Authors: Hoşgör G , Tabar E 
Published: December 2024

Abstract
The gamma radiation shielding features of four different boro-tellurite glasses with chemical composition xTiO2-yBi2O3-zB2O3-(100-x-y-z) TeO2 (x = 5, 10 mol%, y = 10,20, 25, and 30 mol% and z = 20 and 30 mol%) were examined using FLUKA Monte Carlo code. The simulations were run for photon energies of 245, 356, 511, 662, 964, 1173, and 1332 keV emitted by 152Eu, 133Ba, 22Na, 137Cs, and 60Co. The obtained results show that the Bi2O3 addition increased the mass attenuation coefficient (MAC) ranges from 0.2559 to 0.3584 cm2 g−1, 0.1454 to 0.1869 cm2 g−1, 0.0992 to 0.1167 cm2 g−1, 0.0803 to 0.0902 cm2 g−1, 0.0620 to 0.0667 cm2 g−1, 0.0549 to 0.0581 cm2 g−1, and 0.0511 to 0.0535 cm2 g−1 for 245, 356, 511, 662, 964, 1173, and 1332 keV, respectively. The photon attenuation parameters, such as half-value layer (HVL), ten-value layer (TVL), and mean free path (MFP), were also studied. The results showed that Bi2O3 substitution positively impacts the produced glasses’ photon attenuation abilities.
FlexRT — A fast and flexible cosmological radiative transfer code for reionization studies. Part I. Code validation
Authors: Cain Christopher , D'Aloisio Anson 
Published: December 2024

Abstract
The wealth of high-quality observational data from the epoch of reionization that will
become available in the next decade motivates further development of modeling techniques for their
interpretation. Among the key challenges in modeling reionization are (1) its multi-scale nature,
(2) the computational demands of solving the radiative transfer (RT) equation, and (3) the large
size of reionization's parameter space. In this paper, we present and validate a new RT code
designed to confront these challenges. FlexRT (Flexible Radiative Transfer) combines
adaptive ray tracing with a highly flexible treatment of the intergalactic ionizing opacity. This
gives the user control over how the intergalactic medium (IGM) is modeled, and provides a way to
reduce the computational cost of a FlexRT simulation by orders of magnitude while still
accounting for small-scale IGM physics. Alternatively, the user may increase the angular and
spatial resolution of the algorithm to run a more traditional reionization simulation.
FlexRT has already been used in several contexts, including simulations of the
Lyman-α forest of high-z quasars, the redshifted 21cm signal from reionization, as well
as in higher resolution reionization simulations in smaller volumes. In this work, we motivate and
describe the code, and validate it against a set of standard test problems from the Cosmological
Radiative Transfer Comparison Project. We find that FlexRT is in broad agreement with a
number of existing RT codes in all of these tests. Lastly, we compare FlexRT to an
existing adaptive ray tracing code to validate FlexRT in a cosmological
reionization simulation.
Simulation of dark scalar particle sensitivity in η rare decay channels at HIAF
Authors: Liu 刘 Yang 洋 , Wang 王 Rong 荣 , Mushtaq Zaiba , Tian 田 Ye 野 , He 何 Xionghong 熊宏 , Qiu 仇 Hao 浩 , Chen 陈 Xurong 旭荣 
Published: December 2024

Abstract
The search for dark portal particles is a prominent topic at the frontier of particle physics. We present a simulation study of an experiment suitable for searching for scalar portal particles at the Huizhou η factory. The high-intensity proton beam from HIAF and a high event-rate spectrometer are suggested to conduct this experiment, both of which are well-suited for the discovery of new physics. Under a conservative estimation,

η events could be produced during a one-month operation of the experiment. The hadronic production of η mesons (

) was simulated at a beam energy of 1.8 GeV using the GiBUU event generator. We searched for light dark scalar particles through rare decay channels, namely

and

. The detection efficiencies of the channels and the spectrometer resolutions were studied in the simulation. We also present the projected upper limits of the decay branching ratios of the dark scalar particle and the projected sensitivities to the model parameters.
Universal thermodynamic relations with constant corrections for five-dimensional de Sitter spacetime*
Authors: Ma 马 Yubo 宇波 , Zheng 郑 Songtao 松涛 , Li 李 Jing 静 
Published: December 2024

Abstract
In this study, we built upon the method proposed by Goon and Penco for analyzing the universality of thermodynamic relations with corrections in de Sitter (dS) black holes. Additionally, based on our analysis of non-linear magnetically charged black holes in dS spacetime, five-dimensional dS hairy spacetime, and five-dimensional charged-dS rotating black holes, we demonstrate the universality of thermodynamic relations in dS black holes. This establishes a universal conjecture relating shifted thermodynamic quantities for arbitrary black-hole backgrounds. We consider that these universal relations will offer new insights into the realm of quantum gravity.
Near-surface Imaging Based on Cross-coherence Method with High-Speed-Train-Induced Vibrations
Authors: Chang Weishuai , wu Hua , Shao Guangzhou 
Published: December 2024

Abstract
High-speed trains (HST) generate seismic waves that can serve as a powerful ambient noise source for near-surface imaging. To image the S-wave velocity of the near-surface using the HST seismic signals, we apply the seismic interferometry and compare the effects of two interferometry techniques: cross-correlation and cross-coherence. After processing the measured data, we recovered the Rayleigh wave data in the 1∼5Hz range from the original HST seismic data. The comparison shows that the cross-coherence technique produces surface wave data with a higher signal-to-noise ratio. We then process the obtained virtual shot gathers using the multi-channel surface wave analysis (MASW) method and invert them to obtain the S-wave velocity structure of the subsurface.
Three-dimensional magnetotelluric inversion using unstructured deformed hexahedral grids
Authors: Li Yangming , Guo Chang’an , Chen Chutong , Wang Kunpeng 
Published: December 2024

Abstract
Topography has a great influence on the inversion and interpretation of magnetotellurics. To improve the reliability of the inversion, the influence of topography must be eliminated, and inversion with topography is an effective solution. At present, three-dimensional electromagnetic inversion is still mostly based on finite difference forward modeling, but it is difficult to simulate complex topography using structured hexahedral grids effectively, and unnecessary densification of the grid extension area will be performed. The finite element method can use arbitrary grids to divide the area and is very suitable for simulating undulating topography. Therefore, this study uses unstructured deformed hexahedral grids to divide the calculation area, which can densify local key areas and reduce the number of grid divisions in the extended areas, ensuring calculation accuracy and relatively reducing the number of calculations. The effectiveness of the method is proved by inverting the theoretical model.
An integrated waterborne seismic-electromagnetic acquisition system and its application in bedrock investigation for cross-river tunneling
Authors: Luo Qiang , Yang Dikun , Ma Jinguo 
Published: December 2024

Abstract
Construction of cross-river tunnels requires an understanding of the geology beneath the riverbed, particularly the solidity of the bedrock that may often be compromised by the weathering process. High-efficiency geophysical technology is demanded before drilling and other intrusive verification. We develop an integrated seismic-electromagnetic acquisition system for towed waterborne surveys by combing the single-channel seismic and towed transient electromagnetic (FloaTEM). The system consists of one towing boat and two floating boats connected and traveling in a line. The front deck of the towing boat houses the transmitting and receiving unit of the seismic system, and the seismic sensors are attached to one side of the boat below the waterline. The back deck contains the boat engine and the control unit of the FloaTEM system, whose transmitter loop and receiver coils are mounted in the two floating boats behind the towing boat. The system was tested at a section of Shunde Waterway near Guangzhou, China. The entire survey of about 7.6 line-km was finished in about 1.3 hours at a speed of 6 km/h. The seismic data and EM inversion model are highly consistent in delineating the three major interfaces below the water surface: water-sediments, sediments-weathered bedrock, and weathered-unweathered bedrock. In addition, the EM method is particularly useful in highlighting the contrast between the weathered and unweathered bedrock because of the difference in water content. The integrated survey revealed that the weathered bedrock layer thickens from the north to the south along the planned tunneling line, which is also favorably verified by the drill holes on the river bank of both sides.
Application of Sparsity-Enhanced Predictive Deconvolution in Offshore Wind Farm Site
Authors: Y Zhang , DeL Wang , B Hu 
Published: December 2024

Abstract
The development of offshore wind power has become an integral part of the global energy transition. Geological surveys targeting the bedrock surface are indispensable in the development process of offshore wind farms, as they directly affect the site selection and design of the wind farms. Single-channel seismic surveying is a towed survey method that offers advantages in exploration efficiency and accuracy. However, strong interference from multiple reflections is a unique challenge in offshore seismic exploration. To address this issue, we propose a sparse-promoting multi-channel predictive deconvolution method. This method begins by establishing a framework for multichannel predictive deconvolution, and then leverages the high redundancy and sparsity benefits of the Shearlet transform to enhance the sparsity of seismic signals. Through the processing of field data, we have verified that our method can effectively suppress multiple reflections, improve signal-to-noise ratio, and enhance the accuracy and efficiency of seismic exploration, providing more accurate and reliable technical support for the preliminary environmental investigation of offshore wind power projects.
Application of Electromagnetic Method in the Detection of Buried Karst Groundwater in the North-South Archaic Uplift, Ningxia, China
Authors: Lian Sheng , Li Jingjie , Cao Fuxiang , Wei Qiang , Cheng Xuxue , Zhang Yibing 
Published: December 2024

Abstract
The North-South Archaic Uplift Karst Area, situated in the Ningxia Hui Autonomous Region, exemplifies the presence of underground karst formations in northern China. This work utilizes the regional hydrogeological survey to carry out geophysical investigations. The objective is to examine the resistivity qualities of layers and formations in order to investigate the attributes of subterranean karst water. The results indicate the existence of karst groundwater within the carbonate fault zone, covered by Quaternary loess with a high resistance and Neogene mudstone with a low resistance. The resistivity of the fault zone is relatively lower compared to the surrounding carbonate rock. The core principle of this rule can be concisely stated as “detect regions of high resistance within regions of low resistance, and detect regions of low resistance within regions of high resistance.” The electrical characteristics of the subterranean karst formation greatly aid in identifying ideal locations for investigating karst groundwater.
Research on the Source Parameters and Scaling Relations of Earthquakes in Qinba Mountain and Its Adjacent Area
Authors: Zheng Y , Wang W D 
Published: December 2024

Abstract
In this paper, the source parameters were determined for 123 small to moderate size earthquakes (1.2 ≤ ML
≤ 4.5) occurred during 1997-2013 in Qinba Mountain and its adjacent area by using the digital seismic data recorded in Shaanxi seismic network. The scaling relations between seismic moment, stress drop, seismic radiated energy with seismic magnitude are determined, the relations between scaled energy Eg/M0
and seismic moment are analyzed. The results show that the seismic stress drop in this area approximately increases with the increase of seismic moment, but the seismic stress drop is generally low. The Zúñiga parameter ε is generally less than 1, indicating partial stress drop mechanism in the region and may be the activity of low strength mature faults. The seismic scaled energy in this area is relatively small, which may be the results of high dynamic friction force or insufficient estimation of seismic radiation energy.
Urban Road Underground Defects Detection Using the Resistivity Method with an Irregular Array
Authors: Jiulong Cheng , Zhongzhong Xu , Yuqi Zhang , Honpeng Zhao , Yangchun Han 
Published: December 2024

Abstract
While the resistivity method offers clear advantages for detecting underground defects beneath urban roads, the complex surface conditions of these roads preclude the deployment of regular arrays. This complexity significantly challenges conventional resistivity detection methods for underground defects. This study designed a high-density resistivity detection observation system adaptable to the deployment of irregular arrays along urban roads. This method obtains high-dimensional apparent resistivity data and employs Principal Component Analysis (PCA) for its dimensionality reduction. It introduces an improved position update method within the Chimpanzee Optimization Algorithm (ChOA), combined with Extreme Learning Machine (ELM), to propose a PCA-ChOA-ELM combination algorithm for inversion. This is then compared with BP (Back Propagation Neural Network), GABP (Genetic Algorithm optimized Back Propagation Neural Network), and ELM. To further test the PCA-ChOA-ELM resistivity inversion’s effectiveness in detecting underground defects beneath urban roads with an irregular array, a geological-geophysical model of underground defects was established. Numerical and physical experiments were combined to perform inversion imaging on models of underground defects, both with and without water. The research results show that the high-density resistivity method based on PCA-ChOA-ELM with an irregular array can adapt to the detection of underground defects under urban roads, can better reflect the electrical characteristics, location, and distribution of underground defects under urban roads, and achieve efficient and precise positioning of underground defects under urban roads.
Optimization Design of Node Seismometer Data Storage Based on STM32
Authors: Yang Lan , Shen Tong , Tan Mingjie , Ruan Bo , Leng Yangchun 
Published: December 2024

Abstract
The application of high-resolution analog-to-digital conversion devices in wireless seismic data acquisition equipment causes massive invalid noise and seismic signals to be generated during long-term seismic acquisition, and the subsequent processing of massive data will occupy a lot of system resources. To address the above issues, we employ the STM32F4 as the core to integrate an improved environmental dynamic threshold P-wave picking algorithm for continuous vibration data acquisition. During data storage, only the relevant vibration signals are preserved to minimize the storage of irrelevant data and enhance work efficiency. The research results indicate that embedding a vibration identification algorithm inside the microcontroller can quickly and effectively identify seismic data, filter out invalid noise signals, reduce data volume, and improve work efficiency.
Full-waveform Inversion of Noisy GPR Data in Frequency Domain Based on Quasi-Newtonian Algorithm
Authors: Li Hongjie , Yang Xiaopeng , Lanl Tian 
Published: December 2024

Abstract
Ground penetrating radar (GPR) is a non-destructive detection technology. Full-waveform inversion (FWI) of GPR data promise for the quantitative characterization of the earth’s shallow subsurface parameters, which is useful for the interpretation and subsurface mapping. In this paper, we present a full-waveform inversion target imaging framework for GPR. In the method, the singular value decomposition (SVD) and least squares (LS) methods are used to denoise the measured scattering field. Secondly, the contrast source inversion (CSI) method is improved by introducing the quasi-Newtonian algorithm. Theoretical analysis and practice show that the proposed method can improve the robustness and stability of the inversion, and finally achieve a result with lower contrast error.
The Morphological Features of the Qitianling Granitic Pluton: Constrains from Magnetotelluric Data in Southern Hunan
Authors: Zhou Keke , Liu Jianxin , Cao Li , Guo Rongwen , Liu Rong , Cao Chuanghua , Zou Guangjun 
Published: December 2024

Abstract
As one of the most important granites within southern Hunan, the Qitianling pluton controlled the formation and distribution of a series of polymetallic deposits, including Furong Sn deposit, Huangshaping Pb-Zn deposit, and Xintianling W-Mo deposit. Therefore, a further knowledge of morphological features of this pluton that can lead to a better understanding of development and evolution of deposits system of southern Hunan. In this study, we obtained the 3-D electrical resistivity model of the Qitianling pluton and its surrounding area based on 25 MT data, distinctly imaging the subsurface extent of this pluton. The results indicated that the Qitianling pluton exhibited an prominent high-resistance background (>1000 Ω.m), with a downward convexity extending to a depth of ∼ 5 km.
Full waveform inversion of surface wave based on instantaneous frequency
Authors: Zhang Da-zhou , Zhang Ming-cai , Ju Guang-Hong , Xiong Zhang-qiang , Xue Wu-jun 
Published: December 2024

Abstract
Surface wave has many advantages, such as low attenuation, high signal-to-noise ratio, strong anti-interference ability and dispersion characteristics in layered media. It is widely used in engineering measurement and nondestructive testing. However, the applicability and reliability of surface wave processing methods are severely restricted by velocity inversion or strong heterogeneity of the medium. To overcome these shortcomings, in recent years, scholars have studied full-wave inversion methods including data preprocessing, wave field forward, gradient calculation, and inversion optimization to avoid any assumptions about underground complexity. However, the classical waveform difference mismatch function is apt to fall into a local minimum, which leads to the non-convergence of inversion. At the same time, the existence of surface waves greatly increases the non-linearity of full waveform inversion. Even small perturbations, especially in the S wave velocity structure, can cause dispersion for uniform backgrounds. To overcome this difficulty, a mismatch function based on instantaneous frequency is proposed and the adjoint wave equation is derived. Taking a layered model as an example, the effectiveness of the method is verified.
Two dimensional forward simulation of magnetotelluric waves based on fourier neural network
Authors: Yang Sicheng , Guo Rongwen 
Published: December 2024

Abstract
Magnetotelluric method is a geophysical exploration technology with large detection depth, high efficiency and low cost. Its theory, method and data processing and interpretation technology are relatively mature, so it has been increasingly widely applied in many industries in recent years. Accurate and efficient forward modeling is the basis for magnetotelluric method to be developed. Machine learning is a popular research topic in many fields. It can be used to simulate magnetotelluric two-dimensional forward modeling accurately and quickly, and Fourier neural network is a typical deep learning network in machine learning. In theory, after inputting the training model set, we use Fourier neural network to conduct network training, and the purpose of two-dimensional magnetotelluric forward modeling can be achieved quickly by using the trained network. In this paper, two-dimensional magnetotelluric forward modeling will be conducted based on Fourier neural network, and the generated neural network will be tested to verify whether the constructed network fits the training model and whether its forward prediction results are accurate.
Transient current monitoring technique based on compound integral Rogowski coil
Authors: Shu Yang , Chen Zhongbin , Li Wei , Sun Jinghua , Zhang Houwen 
Published: December 2024

Abstract
With the continuous development of power systems, high-voltage switchgear’s safe and stable operation is essential. As one of the key parameters used to evaluate the performance of switchgear, it is of great significance to monitor the transient current accurately. Traditional current sensors find it difficult to meet the rapidly changing current monitoring requirements in high-voltage environments due to the magnetic saturation phenomenon, insufficient sampling frequency, and insufficient bandwidth. In this paper, for the limitations of traditional current sensors in the transient current monitoring of high-voltage switchgear, a new type of monitoring device based on a composite integral Rogowski coil is proposed, which elaborates the design principle of the device, the realization process, and its advantages in practical applications. It also verifies that the program can capture the transient as well as steady state currents of high-voltage switchgear in real time with high accuracy, through a combination of theoretical analysis and experimental verification.
Simulation methods for distribution network cyber-physical systems based on Matlab/Simulink
Authors: Luo Xinhao , Zhang Rui , Chen Qifang , Cui Jiafeng , Kang Xinran , Chen Hailei 
Published: December 2024

Abstract
This paper proposes a MATLAB/Simulink-based simulation method for a distribution network cyber-physical system (CPS) to enhance risk analysis and dynamic process simulation. The study identifies limitations in existing CPS models, which often focus on large power grids and overlook the roles of control centers, data centers, and terminal device interactions in distribution networks. To address these gaps, the paper introduces a four-layer coupled simulation model comprising the physical layer, interaction layer, terminal layer, and application layer. This model refines the information flow process, enabling the application layer to observe and control the physical layer. The model’s effectiveness is validated using the IEEE 33-bus system, demonstrating its ability to simulate attack risk propagation and cascading failure evolution.