Radiation Physics and Chemistry最新文献

{"title":"60Co gamma irradiation effects on Low-Voltage Differential Signaling (LVDS) receivers: Analysis with impedance spectroscopy","authors":"Pierluigi Casolaro, Vincenzo Izzo, Riccardo Vari, Mila D’Angelantonio, Antonio Vanzanella, Claudio Principe, Arbab Imtiaz, Alberto Aloisio","doi":"10.1016/j.radphyschem.2025.113367","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113367","url":null,"abstract":"Impedance Spectroscopy (IS), a well-established technique in electrochemistry, is applied in this work to investigate Total Ionizing Dose (TID) effects on Low-Voltage Differential Signaling (LVDS) receivers widely used in high-speed serial links. These devices were irradiated with <ce:sup loc=\"pre\">60</ce:sup>Co gamma rays at a dose of 15.4 kGy with a dose rate of 364 Gy/h. Measurements of the current drawn by the receivers, and key waveform parameters such as amplitude, rise time, fall time, and bit error rate, showed no differences before and after irradiation. However, IS analysis, complemented by I-V measurements, identified radiation-induced changes that are generally difficult, or even impossible, to detect with traditional methods. IS enabled the modeling of different device sections through equivalent circuits based on two time constant networks, revealing TID effects both in the power rail, in the Electrostatic Discharge (ESD) protection circuit, as well as in the differential input pair and output buffer. This work shows that IS is a promising technique to investigate radiation effects on solid-state devices.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"112 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of conventional proton calibration for flash proton therapy with Alanine/ESR dosimetry","authors":"Soo Min Lee, Ki-Taek Han, Jong Hwi Jeong, Se Byeong Lee, Chae-Eon Kim, Chul Hee Min","doi":"10.1016/j.radphyschem.2025.113374","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113374","url":null,"abstract":"This study evaluated the feasibility of alanine/ESR dosimetry as a practical alternative to ionization chambers for quality assurance (QA) in ultra-high dose rate (Flash) proton therapy. Ionization chambers, although the clinical gold standard, suffer from reduced accuracy under Flash conditions due to ion recombination and charge collection losses. Alanine dosimeters exhibit minimal dose-rate dependence and excellent stability at high doses, yet their performance in Flash proton beams has not been fully established. An ESR-dose calibration curve was generated under conventional proton beam conditions (10–100 Gy), demonstrating excellent linearity (R<ce:sup loc=\"post\">2</ce:sup> = 0.9998) with deviations from ion-chamber reference doses within 1.25%. Under Flash conditions, uncorrected ESR-based doses were up to 4.0% higher than ion-chamber readings, a bias attributed to geometry-specific factors. Monte Carlo simulations quantified a 3.0% higher dose to the alanine pellet relative to the ionization chamber, yielding a correction factor of 1.03. Applying this factor reduced residual deviations to within ± 1.68% without dose-dependent bias. These findings demonstrate that alanine/ESR dosimetry can accurately verify Flash proton doses using a conventional calibration curve, supporting its use as a reliable, condition-independent QA tool in both standard and ultra-high dose rate proton therapy.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"3 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A decade of trends and progress in methods and hardware accelerators for particle track reconstruction: a systematic review","authors":"Nolida Yussup, Mohd Idzat Idris, Imran Yusuff","doi":"10.1016/j.radphyschem.2025.113377","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113377","url":null,"abstract":"Particle track reconstruction is crucial in high-energy physics experiments because it involves identifying the trajectories of charged particles produced during collisions. Precise reconstruction of particle tracks is necessary to determine the types of particles produced, measure their energies and momenta, and eventually comprehend the underlying physics processes. Over the years, various methods, approaches, and algorithms have been developed for particle track reconstruction; however, their effectiveness and limitations remain a subject of ongoing research. In this study, we aimed to synthesize the current knowledge on particle track reconstruction, identify areas of consensus, and look for directions for future research by using a systematic review. This review used three primary journal databases: Web of Science, Scopus, and ScienceDirect. As a result of these search efforts, 77 articles were identified. This systematic review presents a complete overview of the existing literature on particle track reconstruction from 2014 to 2023, with a focus on the methods and hardware accelerators used in high-energy physics experiments. We categorized the methods into three categories, including machine learning, and discussed the hardware accelerators, like the Graphical Processing Unit (GPU) and field-programmable gate array (FPGA).","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"70 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Half-Value Layer of glass-based materials using machine learning algorithms","authors":"D.E. Zenkhri, M.I. Sayyed","doi":"10.1016/j.radphyschem.2025.113373","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113373","url":null,"abstract":"Accurate prediction of the half-value layer (HVL) in radiation shielding materials is essential for optimizing their composition and performance. In this study, we employ four ensemble machine learning models XGBoost, LightGBM, Gradient Boosting Regressor (GBR), and Random Forest to predict HVL based on the chemical composition of glass-based materials. Each model was fine-tuned using Optuna’s Bayesian optimization and evaluated through 5-fold cross-validation and a separate testing phase using metrics including <mml:math altimg=\"si68.svg\" display=\"inline\"><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> , RMSE, MAE, and MAPE. All models demonstrated high predictive performance (<mml:math altimg=\"si2.svg\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">&gt;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>996</mml:mn></mml:mrow></mml:math>), with the GBR model achieving the best results (<mml:math altimg=\"si3.svg\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>999</mml:mn></mml:mrow></mml:math>, <mml:math altimg=\"si4.svg\" display=\"inline\"><mml:mrow><mml:mi>R</mml:mi><mml:mi>M</mml:mi><mml:mi>S</mml:mi><mml:mi>E</mml:mi><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>0772</mml:mn></mml:mrow></mml:math>, <mml:math altimg=\"si5.svg\" display=\"inline\"><mml:mrow><mml:mi>M</mml:mi><mml:mi>A</mml:mi><mml:mi>P</mml:mi><mml:mi>E</mml:mi><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">=</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>09</mml:mn><mml:mtext>%</mml:mtext></mml:mrow></mml:math>). XGBoost also performed competitively, offering a balance between accuracy and computational efficiency. These results highlight the potential of gradient boosting approaches to speed up the design and study of radiation shielding materials and show how effective they are at identifying intricate nonlinear correlations within material databases.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"19 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishing local diagnostic reference levels for high-resolution chest CT in the Gaza Strip during the COVID-19 pandemic","authors":"Husam H. Mansour, Noor Khairiah A Karim, Noor Diyana Osman, Rohayu Hami, Yasser S. Alajerami","doi":"10.1016/j.radphyschem.2025.113375","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113375","url":null,"abstract":"Chest computed tomography (CT) was widely used during the COVID-19 pandemic, particularly where access to laboratory testing was limited. Its associated radiation exposure necessitates dose optimization through Diagnostic Reference Levels (DRLs). This study establishes the first local DRLs for high-resolution, non-contrast chest CT in the Gaza Strip and compares them with international benchmarks. A retrospective multicenter study was conducted on 600 adult patients scanned between September 2020 and December 2022 at three major hospitals using identical 64-slice multidetector CT systems (Philips Brilliance) and standardized protocols. The third-quartile values of the volume CT dose index (CTDI<ce:inf loc=\"post\">vol</ce:inf>) and dose-length product (DLP) were used to define local DRLs, following International Commission on Radiological Protection recommendations (ICRP). The DRLs were 9.4 mGy for CTDI<ce:inf loc=\"post\">vol</ce:inf> and 277 mGy cm for DLP. The CTDI<ce:inf loc=\"post\">vol</ce:inf> was comparable to values in Norway (9 mGy), Saudi Arabia (8 mGy), and Taiwan (7.7 mGy), but lower than those reported in India (12 mGy), Canada (14.1 mGy), Nigeria (17 mGy), and South Africa (32 mGy). Similarly, the DLP was lower than Nigeria (735 mGy cm), Malaysia (600 mGy cm), South Africa (593 mGy cm), and Canada (521 mGy cm), while close to Norway (300 mGy cm) and Saudi Arabia (355 mGy cm). These findings show that Gaza's DRLs are well aligned with international standards despite resource limitations. Establishing these benchmarks marks a critical step toward radiation safety, protocol harmonization, and the creation of national CT guidelines in Palestine, supporting optimized imaging practice while safeguarding patients.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"11 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Gaussian curve fitting method in gamma energy spectrum overlapping peak identification","authors":"Yi-ming Zhang, Zhang-jian Qin, Ke Zhao","doi":"10.1016/j.radphyschem.2025.113362","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113362","url":null,"abstract":"Due to the influence of the spectrum analysis detector resolution, the interference peaks between the analysed samples, the overlapping peaks in the spectrum analysis is very common. The appearance of overlapping peaks seriously affects the accurate identification of the analysed samples, therefore, the accurate identification of overlapping peaks is very necessary in the field of gamma energy spectrum. In this paper, a novel method for identifying the peak parameters of overlapping peaks based on Gaussian curve fitting is proposed. The method uses a second-order derivative of the Gaussian function convolution algorithm to obtain the initial peak parameters for the curve fitting. This step reduces the curve fitting time and improves the fitting accuracy. Subsequently, the values of the overlapping peak parameters (including peak height, peak width, peak centre position) with different step transformations were taken as fitting parameters for each fit. When the fitting error between the fitted peaks and the original data was the smallest, the values of the peak parameters were output. The simulation results show that the peak parameters can be identified properly even with a low signal-to-noise ratio. The simulated overlapping peak experiments with different separations demonstrate that the overlapping peak recognition results of this method are better than those of the wavelet transform method and particle swarm algorithms. Finally, the measured spectra demonstrate the feasibility of the novel method in gamma energy spectrum overlapping peak identification.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"27 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modifications in functional and EMI shielding properties of PCCCe polymer nanocomposite via exposure of 1.3 MeV γ-radiations","authors":"Neha Sharma, Aakansha, Shalendra Kumar, Saurabh Dalela, S.Z. Hashmi, M. Ayaz Ahmad, A.M. Quraishi, Pravin Kumar, P.A. Alvi","doi":"10.1016/j.radphyschem.2025.113360","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113360","url":null,"abstract":"This research work reports the effect of γ-radiation with a 1.3 MeV Co-60 on functional and shielding properties of PCCCe (<ce:bold>P</ce:bold>VA: Polyvinyl alcohol/<ce:bold>C</ce:bold>S: Chitosan/<ce:bold>C</ce:bold>B: Carbon Black/<ce:bold>C</ce:bold>eO<ce:inf loc=\"post\">2</ce:inf>) nanocomposite films. The films were synthesized by solution-casting method and exposed under the doses from 10 to 50 kGy. Under the exposure of γ-doses, the exponential increase in Young's modulus, and the reduction in flexibility with increase in γ-doses were observed. FTIR spectroscopy shows a change in broadening of absorption band which suggests the modification of functional groups with increase in γ-doses. Further, the significant decrease in photoluminescence (PL) intensity occurred at higher γ-irradiation doses (50 kGy) suggests a degradation of PCCCe films. The frequency-dependent dielectric properties and the electromagnetic Shielding Effectiveness (SE) of the irradiated nanocomposite films were investigated at room temperature in the frequency range of 8.2–12.4 GHz (X-band) with the help of Vector Network Analyzer (VNA) and a proper wave guide. The exposure of γ-radiations has also exhibited an enhancement in dielectric properties and ac electrical conductivity. The shielding effectiveness through absorption (SE<ce:inf loc=\"post\">A</ce:inf>) increases significantly from 31.08 dB to 47.92 dB at higher frequencies (10.5 GHz–11.5 GHz); while through reflection, Shielding Effectiveness (SE<ce:inf loc=\"post\">R</ce:inf>) is slightly enhanced as the γ-doses rose from 10 kGy to 50 kGy. In addition to it, the total SE, achieved a maximum value of 78.14 dB at 10.5 GHz for a γ-dose of 50 kGy. Based on these tremendously enhanced shielding properties, these nanocomposite films are the promising candidate for high-radiation safety applications.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"101 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of electron screening potential in the 6Li(d, [formula omitted])4He reaction using multi-layer perceptron neural network","authors":"D. Chattopadhyay","doi":"10.1016/j.radphyschem.2025.113366","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113366","url":null,"abstract":"Reactions between light charged nuclei at sub-Coulomb energies are crucial in astrophysical environments, but accurate cross-section measurements are hindered by electron screening. Conventional approaches, such as polynomial extrapolation and the Trojan Horse Method, frequently predict screening potentials that exceed adiabatic estimates. Building on the success of a Multi-Layer Perceptron (MLP)-based Artificial Neural Network (ANN) for the <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msup><mml:mi mathvariant=\"normal\">Li</mml:mi><mml:msup><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>α</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup><mml:mi mathvariant=\"normal\">He</mml:mi></mml:mrow></mml:math> reaction (Chattopadhyay, 2024), this work applies the same methodology to the <mml:math altimg=\"si2.svg\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msup><mml:mi mathvariant=\"normal\">Li</mml:mi><mml:msup><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mi>d</mml:mi><mml:mo>,</mml:mo><mml:mi>α</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msup><mml:mi mathvariant=\"normal\">He</mml:mi></mml:mrow></mml:math> reaction. The experimental data on the astrophysical S-factor from the literature are reanalyzed using the ANN to model the energy dependence of the S-factor. The bare S-factor is extracted from data above 70 keV, where screening effects are minimal, and the screening potential is determined by comparing it with the screened S-factor in the low-energy region. The resulting screening potential is 147.95 ± 13 eV, demonstrating the effectiveness and robustness of ANN-based methods for evaluating electron screening in low-energy nuclear reactions involving light nuclei.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"20 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ionizing radiation resistance of butadiene and silicone rubbers for Mars applications","authors":"Rafal Anyszka, Piotr Szajerski, Radoslaw Wach, Anke Blume","doi":"10.1016/j.radphyschem.2025.113372","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113372","url":null,"abstract":"This paper aims to investigate the ionizing radiation resistance of Butadiene (BR) and Vinyl-Silicone (VMQ) rubbers, which are the most promising candidates for Mars applications due to their low-temperature elasticity. The influence of various fillers on BR and aromatic silicone oligomer on VMQ radiation resistance was investigated by β or γ irradiation. The irradiation was carried out at two doses of 5 kGy or 10 kGy. In general, VMQ exhibits good radiation resistance even without the addition of the aromatic silicone oligomer. In contrast, the radiation resistance of BR was improved after the incorporation of the fillers, especially of mineral origin – silica, TiO<ce:inf loc=\"post\">2,</ce:inf> or ZnO, which is probably a result of radiation interaction with the fillers’ particles instead of rubber macromolecules. Both rubbers have proved to be promising elastomer bases for designing future Mars rubber compounds.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"120 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"X-ray durability of continuous glucose monitoring sensors during pseudo-measurement","authors":"Hiroaki Matsubara, Kanna Sagara, Shuhei Shimotake","doi":"10.1016/j.radphyschem.2025.113370","DOIUrl":"https://doi.org/10.1016/j.radphyschem.2025.113370","url":null,"abstract":"Although continuous glucose monitoring is a valuable tool for diabetes care, removal of its sensor is recommended for safety reasons when X-ray beams are applied. This study aimed to examine whether the sensor (FreeStyle Libre system) develops a tendency to fail due to X-ray beams when the glucose value is constantly read.","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"66 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}