bluuebunny/crossref_metadata_2025_split huggingface dataset:
A dual operating (27/38 GHz) high performance 2 × 4 MIMO antenna array for 5G new radio applications
Authors: Kiouach Fatima , Aghoutane Bilal , Das Sudipta , Islam Tanvir , El Ghzaoui Mohammed , Madhav BTP 
Published: September 2023

Abstract
This article presents an unique configuration of Multiple-Input Multiple-Output (MIMO) antenna array for functioning at 27/38 GHz millimeter-wave 5G new radio (NR) frequency bands applications. The suggested antenna is constructed with four MIMO elements, containing total of eight identical patches arranged in a 2 × 4 array configuration. The array also includes a separate non-connected rectangular ground plane with an overall dimension of 32.4 × 32.8 × 0.8 mm3. The single radiating patch elements are designed using spline resonator with H-shaped structures. The prototype model is realized using low cost FR-4 substrate and the obtained measurement results validate the analyzed simulated results. The suggested MIMO array antenna offers dual band operation with an impedance bandwidth of 8400 MHz covering 22 to 30.4 GHz and 8500 MHz ranging from 36.1 to 44.6 GHz. The proposed antenna achieves a peak gain of 8.75 dBi when operating at 27 GHz and 18.59 dBi at 38.1 GHz. Furthermore, it shows circular polarization characteristics by offering the axial ratio values significantly lower than 3 dB at 27 GHz and 38.1 GHz frequency bands. Additionally, the results indicate the favourable values of the diversity performance parameters with reference to Mean effective gain (MEG), Envelope correlation coefficient (ECC), Diversity gain (DG), Total active reflection coefficient (TARC), and Channel capacity loss (CCL). Moreover, it demonstrates high isolation (<−20 dB) within the desired bandwidth. These superior characteristics make it compatible for 5G NR frequency bands N257(26.5-29.5 GHz), N258 (24.5-27.5 GHz), N259 (39.5-43.5 GHz) and N260 (37-40 GHz), enabling its use in various countries including the China, European Union, Sweden, Korea, Japan, United States of America, Canada and Australia.
Combined super-Gaussian pump intensity profile model and its application to a solid-state laser
Authors: Wang Yaoting , Jing Gui , Zhang Ruihong , Zhang Jiansheng , Li Wujun 
Published: September 2023

Abstract
The modeling of a combined super-Gaussian profile distribution for fiber-coupled laser diode beam intensity is investigated in this paper. By fitting the measured beam intensity distribution to the combined super-Gaussian model, the coefficient of determination is better than that of the Gaussian function and super-Gaussian function with order of 2. Applying this theoretical model to the fiber-coupled laser diode end-pumped Nd:GdVO4 laser at 1342 nm, the theoretical calculations are in good agreement with the experimental results.
A nuclear-reaction-based method for probing the nonthermal ion energy spectrum in high energy density laboratory plasmas
Authors: Li K. , Liu Z.Y. , Liu A.D. , Zhu S.P. , He X.T. , Qiao B. 
Published: September 2023

Abstract
The nuclear reactions in a plasma system with particle distributions deviated from the Maxwellian are proved to have some unique characteristics, in particular, in their reaction product energy spectra. Based on this, a new nuclear-reaction-based method for probing the nonthermal ion energy spectrum in high-energy-density (HED) laboratory plasmas is proposed, where the energy spectrum of the nonthermal ion high-energy tails can be accurately evaluated through analysis from the spread and peak of the product energy spectrum. The principle of this diagnostic method is theoretically derived and verified by two-dimensional particle-in-cell simulations that self-consistently includes the nuclear reaction calculations. As an example, our simulations demonstrate clearly how this method is applied for probing the nonthermal high-energy protons produced in the HED magnetic reconnection experiment, where a small ratio of boron element is dopped in the laser-ablated hydrocarbon target and the proton-boron (pB) reaction is chosen as the referenced nuclear reaction. The simulations also show that the pB reaction rate is increased by four orders of magnitude and the peak of the energy spectrum of the generated alpha particles shift significantly towards the high-energy range due to the nonthermal protons accelerated from the reconnections.
Measurement of the neutron energy response curve of 4H-SiC detector based fission target detection system at the CSNS Back-n white neutron source
Authors: Zhang Xianpeng , Song Zhaohui , Zhang Jianfu , Liu Linyue , Liu Jinliang , Yi Han , Chen Yonghao , Jiang Wei 
Published: September 2023

Abstract
The fission target detection system, which is based on
U-235(or U-238)fission target and large area 4H-SiC detector, has
been developed for pulsed neutron detection. However, calibration of
its neutron energy response curve is challenging due to its very low
detection efficiency to fast neutrons. In the past, the calibration
of the neutron sensitivity for the fission target detection system
was limited to using ∼ 14 MeV neutrons generated by the
Cockcroft-Walton accelerator. To obtain the response function for
the complete range of neutron energies, extrapolation based on
neutron fission cross sections was required. In this paper, we
present the calibration of its energy response at the China
Spallation Neutron Source (CSNS) Back-n beam line using the time of
flight method, both with double-bunch and single-bunch mode in
end-station 1(with a flight path of ∼ 55 m). The SiC detector
with a thin sensitive thickness of 30 μm has lower scattering
background than the traditional Si-PIN detector . As a result, the
energy response curve of the fission target detection system above
0.26 MeV has been successfully acquired. The spectrum of the
double-bunch mode was unfolded using the Bayesian algorithm, and the
results indicate that, under conditions of sufficient counts, this
method can yield results similar to those obtained from the
single-bunch mode. The issue of pulse height defect of SiC detector
to fission fragments is discussed. This experiment confirms that our
detection system of SiC+fission target has a strong signal-to-noise
ratio and anti-interference capability. At the same time, it
demonstrates that this device has its own advantages in measuring
the energy response of low sensitivity detectors.
Neotectonics of the eastern Matano fault, Sulawesi, Indonesia: Preliminary results
Authors: Patria Adi , Puji Anggraini Rizkita , Tsutsumi Hiroyuki 
Published: September 2023

AbstractThe Matano fault in central Sulawesi is one of the major strike-slip faults that accommodate the rapid left-lateral slip between the Pacific and Australian plates. The Matano fault has a high seismic potential of producing large (Mw≥7) earthquakes. However, the Matano fault was less studied, unlike the Palu-Koro fault. This paper presents preliminary results of our active fault investigation in the eastern Matano fault which may help in understanding the neotectonics and earthquake hazard in central Sulawesi. The late Quaternary deformation of the eastern Matano fault is evidenced by deformed young geomorphic surfaces. The fault shows predominantly left-lateral motion and has steeply dipping fault plane. The eastern portion of the Matano fault may form a seismic gap that potentially host the next surface-rupturing earthquake.
Geological slip rate study on Renun Segment of Sumatran Fault in Dolok Sanggul area, North Sumatra using UAV photogrammetry and DEMNAS
Authors: Daryono Mudrik R. , Hanif Muhammad , Wardhana Dadan Dany , Natawidjaja Danny Hilman 
Published: September 2023

Abstract
Renun Segment is located in the center of the Sumatran Fault, parallel to the Famous Toba Lake Volcano. The fault cuts the thick, and vast Young Toba Tuffs (YTT) deposited ∼74,000 years ago during the supervolcano eruptions. It shows a series of noticeable dextral strike-slip offsets of the river valleys that deeply incised the tuffs. Our study will determine the geological slip rate in this location by measuring river-valley offsets in the Dolok Sanggul area using UAV photogrammetry and DEMNAS images. Detail morphology shows a fault lineament, monocline, and anticline structure. Three rivers about a hundred meters deep cross perpendicular to the fault line and have 585±83 meters dextral offset. This amount is only half of the other dextral offsets on the northern and southern parts of the site. Hence, the slip rate is also a half slower, approximately 7±1 mm/yr. This indicates that the other half of the slip budget is accommodated by the Samosir Fault in the center of Toba Lake.
Development of a Land Subsidence Fragility Curve in Bandung Basin: a Preliminary Result
Authors: Gumilar Irwan , Virtiana Riantini , Bramanto Brian , Sidiq Teguh P. , Abidin Hasanuddin Z. , Sudarsono Ramdan , Haq Titis Idam 
Published: September 2023

Abstract
Land subsidence has been historically detected and observed using the Global Positioning System (GPS) observations since the year 2000. At present, the Interferometric Synthetic Aperture Radar (InSAR) method is used to monitor the ongoing subsidence in the Bandung Basin. Due to its significant subsidence rate, reaching up to -20 cm/year, much evidence of its impact has been found in this area, e.g., damaged buildings. This study aims to develop a land subsidence fragility curve for damaged buildings, which is very beneficial for estimating economic losses and developing a risk map of land subsidence. The study area will be focused on Bandung District Area. Field surveys are carried out in areas that experience large land subsidence. More than 200 buildings are surveyed to estimate the damage to buildings due to land subsidence. Damage classification is divided into four categories: heavy, medium, low, and no subsidence. The classification is based on subsidence slope and cracks in the building. Survey results showed that damage occurred in all these categories. The modeling of the fragility curve shows the tendency of the increasing subsidence slope to cause more severe damage. However, this study only shows the preliminary result of a land subsidence fragility curve in the Bandung district and will be further investigated for optimal results.
Fault Delineation and Geological Carbon Storage (GCS) Characterization for the CCS and CCUS Facilities Based On Gravity Dataset. A Case Study in the Northern Part of East Java, Indonesia
Authors: Handyarso A. 
Published: September 2023

Abstract
lobal warming, the impact of greenhouse-gases emission has triggered climate change and caused various geological and hydro-meteorological disasters in the world. Most countries have carried out decarbonization efforts following the Paris Agreement, which aims to reduce carbon emissions from 29% of domestic effort up to 41% with international support by 2030. Sustainable Development Goal number 13 states combating climate change is a globally accepted framework adopted by the Indonesian Ministry of Development Planning. One aspect of decarbonization efforts involves establishing successful CCS/CCUS facilities, which requires readiness of geological carbon storage (GCS). The GCS has limited capacity, locate specifically underneath, and must consider nearby faulting system to avoid leakage and uncontrollable behavior after the injection phase of the liquefied (high-pressure) carbon. This study optimizes gravity dataset analysis to identify the existing faults and characterize the initial stage of proposed GCS in the northern part of East Java, Indonesia. Synthetic modeling of a strike slip fault was conducted to support data interpretation. The GCS characterizations, which include shape, depth, and storage capacity estimations, are inferred through 3D gravity inverse modeling. This study deduced the presence of a large-scale anticline closure without any intersecting of strike-slip fault in the area. The existing fault system is identified as the Baribis-Kendeng Reverse Fault Zone, trending west-east, and intersected by a sinistral strike-slip fault in the northeast-southwest direction. The study area is suggested as a potential GCS location with low-risk of leakage, located adjacent to the Central Processing Plant Gundih and Sukowati in East Java, Indonesia
Predictive Modelling of Land Subsidence Due to Groundwater Level Decline in Gedebage District, Bandung, Indonesia
Authors: Sarah D , Soebowo E , Satriyo NA , Zulfahmi  , Wahyudin  
Published: September 2023

AbstractThe Gedebage district in Bandung city has experienced a vast physical development in recent years. Previous geodetic studies showed that the area undergoes high-rate land subsidence. The subsurface soil of the Gedebage area has remarkably high compressibility, void ratio, and water content. A thick sequence of soft organic clay of 20-27 m exists, making the area prone to subside. As the district continues to develop, it is important to predict the future rate of land subsidence in the area. This paper aims to analyze the contribution of groundwater exploitation to the land subsidence rate. A combination of 1-dimensional Terzaghi consolidation analytical analysis and numerical modeling was employed in this study. Groundwater level data up to 2015 was used, and hydrostatic condition was assumed to occur in 1986. Results show that the Gedebage area has subsided as much as 161 cm since 1986. Modeling results are consistent with geodetic survey results. It is predicted that the land subsidence will slow down in the next 40 years, provided that the groundwater level remains stable.
Implementation of Frequency Characteristics Technique in Ground Penetrating Radar to Identify Steam Vent
Authors: Pambudi R A , Chrisnawan T S , Warsa W , Laesanpura A , Parnadi W W 
Published: September 2023

Abstract
Ground Penetrating Radar (GPR) is a geophysical method that widely used and developed in a lot of fields because of the non-destructiveness and relatively high resolution of the method. Despite all that, this method can produce a biased result because of factors that could affect the anomaly. To prevent those, advanced analytical methods are used, one of them is frequency characteristic analysis technique. Frequency characteristic technique used GPR’s frequency content to then analyze it in frequency and time domain. The result is quantified in various characters of frequency. This technique is used to help identify steam vents in geothermal environment in Darajat, Garut. Finite difference time domain (FDTD) method is used to generate a synthetic model then we applied frequency characteristic technique to analyzed and compared with the field data to identify the property of steam vent. Based on the result, frequency characteristic technique can be used to help identify presence of a steam vent.
The Effects of Porosity on The Anisotropy Parameters of The Slope Fan Facies Sand Reservoirs in The Deepwater Kutai Basin, East Kalimantan, Indonesia
Authors: Nurhazlita R , Sanny T A , Ambarsari D S , Murdianto B S 
Published: September 2023

Abstract
For good interpretation and modelling, knowledge about the effects of anisotropy and its relationship with reservoir properties is needed. Related to this issue, this study evaluated the effects of porosity on the anisotropy parameters for sand reservoirs deposited in the upper slope fan facies. The study objects are obtained from core plug samples of sand reservoirs in the deep-water Kutai Basin. Core plug samples were collected from 13602.5 ft to 13704.5 MD depth. The ε, γ, δ, and η anisotropy parameters data were obtained by ultrasonic measurements, and porosity data were obtained by laboratory measurement with Coreval 700 apparatus and Boyle’s law. The analysis results show that the relationship of the anisotropy parameters with porosity appears when high-porosity sandstone and low-porosity sandstone are separated. The plots of anisotropy ε, γ, and δ, show trends for greywacke, with increasing anisotropy value the porosity increases. The effect of porosity on the high porosity (29%-37%) sandstone shows a steeper change than on the lower porosity (12%-13%) sandstone. The analysis also shows that the higher composition of lithic mineral grain reduces the effect of anisotropy on porosity.
One-dimensional magnetotelluric (MT) data inversion modeling using convolutional neural network
Authors: Khatami M I , Grandis H 
Published: September 2023

Abstract
The magnetotelluric method is a geophysical method commonly used to map subsurface resistivity. The subsurface’s true resistivity is generated by inversion of the magnetotelluric data. Inversions carried out using conventional methods such as linear and global approaches have several limitations including the need for an initial model, models trapped in local minima, a large number of iterations and long computation time. To overcome the drawbacks, this paper proposes to invert one-dimensional magnetotelluric data using one of the deep learning methods, the convolutional neural network, which is heavily inspired by the human nervous system. This method starts by training the network with large amounts of data. The trained network is then used for inversion by receiving input in the form of apparent resistivity data and generating true resistivity and thickness values instantly. This method has been tested on synthetic data with curves of type A, H, K, and Q. The inversion results show that the convolutional neural network could approach the true resistivity and thickness values with a fairly small error and extremely fast computation time without initial model guess and iteration.
The 2021 Semeru volcano eruption: An insight from visual, seismic, and deformation monitoring data
Authors: Kristianto  , Basuki Ahmad , Purnamasari Heruningtyas Desi , Syahbana Devy Kamil 
Published: September 2023

Abstract
Semeru is the highest volcano on the island of Java and one of Indonesia’s volcanoes that has a potential threat of pyroclastic flows. The eruption of Semeru often shows a transition pattern between explosive and effusive styles. An increased eruptive activity occurred in 2021 with series of explosions dominated the first two thirds of the year and then transition to series of pyroclastic flows in December 2021. On 4 December 2021, a dome collapse triggered significant pyroclastic flows that reached a maximum distance of 16 km from the crater and resulted in 51 casualties. In this paper, we aimed to study the dynamics of magma movement from depth to the surface and assessing the style transition of the eruptions between explosive and effusive activity from visual, seismic and deformation monitoring data. We analyzed Semeru volcano monitoring data throughout the year 2021. The volcanic activity monitoring system of Semeru volcano consists of 4 seismic stations, 5 deformation stations (2 tiltmeters and 3 GPS stations), and 2 Web Camera/CCTV. Our analysis on seismic data indicates that the series of large pyroclastic flows were triggered by excess pressure at shallow depths a few hours before the events. Deep volcanic earthquakes are relatively increased after the collapse of the lava dome or pyroclastic flows, possibly caused by the sudden decrease in hydrostatic pressure of the rock mass around the magma pocket, thus triggering gas expansion. Deformation monitoring using a tiltmeter at Argosuko and Jawar stations indicates inflation of a deep source since 15 August 2021. Since 7 November 2021, tiltmeter measurement has shown deep source deflation patterns which indicate magma movement from the deep reservoir to a shallower reservoir. After 21 November, inflation of the deep source was observed again, indicating an increase in magma supply from the deep pocket. The results of the pressure source modeling from GPS vector data in the period before the eruption, 1 November – 4 December 2021, showed an anomaly in the form of an increased volume at a depth of > 1.7 km of about 0.84 million/m3. Between 5 December and 31 December 2021, after the 4 December pyroclastic flow, the deformation modeling indicates the transition of the pressure source from a depth of 1.7 km to 8 km. In addition, we also observed a decrease in volume of 5.6 million/m3. The deformation pattern at shallow depths showed a deflationary pattern indicating a decrease in magma overpressure.
Ultrasonic Tomography of Core Plug Using Fresnel Volume Approach
Authors: Aryan H N , Sanny T A , Septama E , Murdianto B S 
Published: September 2023

Abstract
Tomography was a non-destructive method for investigating the internal structure of an object, usually used to find internal anomalies caused by differences in the physical parameters. The fresnel volume tomography method was an alternative method for reconstructing the image of an object using travel times, whereas this method did not use a ray path in its calculations. In calculating the fresnel zone, the finite difference method which was the solution to the equation of wave propagation was used. The frequency of the waves was also considered, here we used ultrasonic waves with a frequency of 1 Mhz for the inverse modelling process. The reconstruction algorithm we used was Modified Simultaneous Iterative Reconstruction Technique for Fresnel volume. The application of the inversion of synthetic data resulted in an estimation of a velocity model that has good imaging quality and similarity with the synthetic model.
Preliminary Results: Determination of Microseismic Event Locations on Anisotropic Medium Using Time Reverse Modeling
Authors: Rizal Syamsurizal , Priyono Awali , Nugraha Andri Dian , Apri Mochamad , Moelyadi Mochamad Agoes , Safani Jamhir 
Published: September 2023

Abstract
Determining the microseismic event location is crucial in various fields of science such as hazard mitigation, exploration of new fossil energy sources, and others. However, in determining the source location, several problems arise, namely the determination of the source location that is not appropriate due to limited data. To determine the exact location of the event requires a lot of microseismic recording data. We developed a time reverse modeling method for elastic waves. The data used is synthetic data that is generated from forward modeling which seems to originate a source that is located in subsurface at 1,300 m depth. The seismic velocity model used is a layered seismic velocity model with the assumption that every layers is unabsorbed layers. Data from the wavefield recording on the surface is propagated back to the source. From the study, this was found that the microseismic event was at a depth of 1,300 m.