bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-dimensional extended Hubbard model: doping, next-nearest neighbor hopping and phase diagrams
Authors: Sherman A 
Published: October 2023

Abstract
Using the strong coupling diagram technique, we investigate the extended Hubbard model on a two-dimensional square lattice. This approach allows for charge and spin fluctuations and a short-range antiferromagnetic order at nonzero temperatures. The model features the first-order phase transition to states with alternating site occupations (SAO) at the intersite repulsion v = v

c
. In this work, we show that doping decreases v

c
. For a nonzero next-nearest neighbor hopping

t
′

, less mobile carriers produce a stronger fall in v

c
. For half-filling and

t
′
=
0

, we consider phase diagrams for a fixed temperature T, on-site U, and intersite repulsions. The diagrams contain regions of SAO, Mott insulator, and several metallic states distinguished by their densities of states. Two of them are characterized by a dip and a peak at the Fermi level. The dip originates from the Slater mechanism for itinerant electrons, while the peak to bound states of electrons with localized magnetic moments. The existence of these two metallic regions in the phase diagram is a manifestation of the Pomeranchuk effect. The boundary between these regions reveals itself as a kink in the curve v

c
(T) and as a maximum in the T dependence of the double occupancy D. Our calculated D for different values of v, U, and T are in semiquantitative agreement with Monte Carlo results.
Effective field theory of intrinsic alignments at one loop order: a comparison to dark matter simulations
Authors: Bakx Thomas , Kurita Toshiki , Elisa Chisari Nora , Vlah Zvonimir , Schmidt Fabian 
Published: October 2023

AbstractWe test the regime of validity of the effective field theory (EFT) of intrinsic alignments (IA) at the one-loop level by comparing with 3D halo shape statistics in N-body simulations. This model is based on the effective field theory of large-scale structure (EFT of LSS) and thus a theoretically well-motivated extension of the familiar non-linear alignment (NLA) model and the tidal-alignment-tidal-torquing (TATT) model. It contains a total of 8 free bias parameters. Specifically, we measure the dark matter halo shape-shape multipolesPEE(0)(k),PEE(2)(k),PBB(0)(k),PBB(2)(k) as well as the matter-shape multipolesPδE(0)(k),PδE(2)(k) from the simulations and perform a joint fit to determine the largest wavenumberkmaxup to which the theory predictions from the EFT of IA are consistent with the measurements. We find that the EFT of IA is able to describe intrinsic alignments of dark matter halos up tokmax= 0.30 h/Mpc atz= 0. This demonstrates a clear improvement over other existing alignment models like NLA and TATT, which are only accurate up tokmax= 0.05 h/Mpc. We examine the posterior distributions of the higher-order bias parameters, and show that their inclusion is necessary to describe intrinsic alignments in the quasi-linear regime. Further, the EFT of IA is able to accurately describe the auto-spectrum of intrinsic alignment B-modes, in contrast to the other alignment models considered.
Energy transport analysis of NSTX plasmas with the TGLF turbulent and NEO neoclassical transport models
Authors: Avdeeva G. , Thome K.E. , Smith S.P. , Battaglia D.J. , Clauser C.F. , Guttenfelder W. , Kaye S.M. , McClenaghan J. , Meneghini O. , Odstrcil T. , Staebler G. 
Published: October 2023

Abstract
This work presents a study of plasma transport at low aspect ratio on the National Spherical Torus Experiment tokamak, where the turbulent and neoclassical energy fluxes calculated by the quasilinear Trapped Gyro Landau Fluid (TGLF) model and the multi species drift-kinetic Neoclassical solver (NEO) are validated against experimental data. The turbulent energy transport of two plasma discharges, one in the L-mode confinement regime and another in the H-mode regime, is dominated by electrostatic drift-wave instabilities, while the ion heat transport has a significant neoclassical contribution. The data analysis workflow is described in detail to understand how the variations of mapping and fitting of experimental data affect the power balance solution and subsequent flux-matching plasma profile predictions with the TGYRO solver. On average, the predicted plasma profiles are consistent with experimental data. However, the solutions are sensitive to various input parameters, including boundary conditions, and the electron-ion coupling. Linear gyrokinetic stability analysis demonstrates close agreement of the real frequencies of unstable modes between TGLF and CGYRO gyrokinetic simulations, but higher growth rates are predicted by TGLF, especially for the H-mode case. Estimates of the low-k modes’ contributions to the total flux are consistent with linear stability analysis and the E × B suppression of turbulence in TGLF simulations with the SAT1 saturation model, while the SAT2 saturation model over-predicts the low-k modes’ contribution in the H-mode case. Moreover, the results with SAT1 model are consistent with power balance analysis, which indicates only neoclassical ion energy fluxes inside ρ < 0.4 in the L-mode case and

ρ
⩽
0.7

in the H-mode case. The presence of multi-scale turbulence and ion-scale driven zonal flow mixing effects are also observed in TGLF scans of the electron turbulent heat flux over a range of temperature gradients and the electron-ion temperature ratio, which could explain the strong model sensitivity to variations of input parameters.
A Statistical review of the dates and patterns of volcanic activity of Lewotolo Volcano, East Nusa Tenggara, Indonesia
Authors: Muliawati T , Harbowo D G 
Published: October 2023

Abstract
Lewotolo is a stratovolcano located on the Lembata Island, East Nusa Tenggara (Lesser Sunda Islands), Indonesia. The first geohistory of the Lewotolo volcanic eruption was recorded in 1660 (Volcanic Eruption Index (VEI) 3). Since November 11, 2020, Lewotolo has been included in the list of Indonesian volcanoes with the necessary precautions, comparable to the Anak Krakatau, Merapi, and Semeru volcanoes. We investigated Lewotolo volcanic activity by analyzing the height of the ash column data, maximum seismograph amplitude, and recorded seismic duration from November 29, 2020, to September 23, 2022, which are provided in magma.esdm.go.id. The results showed 191 records of eruption activity data, which formed three clusters for each variable using the Elbow Method in the Non-Hierarchical K-means clustering analysis. These data were plotted on the solar and Hijri lunar calendars. The data plot shows anomalies in the volcanic activity frequency and a significant pattern of activity at specific times. The data plot illustrates that the value of the activity frequency pattern tends to increase at Earth orbital events such as the December-January perihelion (up to 0.124) and June-July aphelion (up to 0.262) and at the new moon phases (up to 0.168). This phenomenon appears as solar and lunar tidal anomalies that commonly occur as gravitational sea tides. Along with the need for more comprehensive data, the results of this study may provide new perspectives for further research on the possible role of gravitational tide phenomena in volcanic activity, at least to explain the volcanic activity in Lewotolo.
Sustainable Engineered Cementitious Composite using Natural Sisal and Coir Fibers
Authors: Sembiring Suranta , Kusumaningrum Patria , Zaki Anwar F 
Published: October 2023

Abstract
Engineered Cementitious Concrete (ECC) or bendable concrete is a high-performance concrete (HPC) with high ductility characteristic. Generally, it has been used to strengthen or retrofit existing structures to increase structural resilience against extreme loadings such as earthquakes or blasts. The constituent materials of ECC are fine aggregates, cement, supplementary cementitious composite (silica fume, fly ash, etc.), superplasticizer, water, and the use of fibers up to 2% volume fraction. With the use of fibers and the elimination of coarse aggregate, ECC has deflection-hardening in bending and exhibits fiber-bridging by multiple cracking. However, the development of ECC has so far been limited to using only synthetic and inorganic fibers, which are scarce yet expensive in Indonesia. As Indonesia boasts the second highest level of biodiversity in the world as the source of natural fibers, in this research, the natural fibers are used to replace synthetic and inorganic fibers in making ECC more sustainable, low cost yet locally available. Not only did the natural fibers are locally available at affordable prices, but the fibers also have distinctive characteristics of sustainable materials with high tensile strength and significant elongation. From the experiments, one may be concluded that natural fibers of sisal and coir can improve the ECC flexural strength up to 39.5% of the non-fiber mix. This highlights its ability to replace synthetic and inorganic fibers in ECC mixture.
The Impact of Environmental, Social, And Economic Factors Due to Anak Krakatau Volcano Tsunami Using Remote Sensing Technology
Authors: Virtriana Riantini , Harto Agung Budi , Rohayani Pitri , Anggraini Tania Septi , Ihsan Kalingga Titon Nur 
Published: October 2023

Abstract
Tsunamis often occur in the territory of Indonesia because it is widely traversed by encounters between earth plates under the sea. Thus, if an earthquake occurs, it has the potential to generate a tsunami. The Indonesian region is also located in the ring of the fire area, and is the country with the highest number of active volcanoes with more than 127 events, that can encourage volcanic earthquakes. In addition, when volcanoes erupt offshore, the potential for a tsunami will be even greater because the expulsion of material can generate landslides toward the sea, causing a tsunami. The tsunami that happened in the eruption of Anak Krakatau on December 22, 2018, in the Sunda Strait, resulted in a tsunami in the Lampung and Banten areas. This study tries to compare environmental, social, and economic factors before and after the tsunami in the coastal areas of Lampung and Banten. The integration of remote sensing data will be carried out to determine environmental, social, and economic factors such as Land Cover, NDWI, NDVI, Night Light, and NO2 data. Random Forest Machine Learning will also be involved in shaping land cover models. Random Forest is often used because it has high accuracy. The results show a significant change in land cover in coastal areas and the impact of environmental, social, and economic factors. This study is expected to support the mitigation process in the event of a tsunami in the future. In addition, it is expected to be used by policymakers in planning development after the tsunami disaster.
An Enhanced Earthquake Risk Analysis using H3 Spatial Indexing
Authors: Aini A N , Dewantari O A , Mandala D P A , Bisri M B F 
Published: October 2023

Abstract
Risk assessment is the first step in disaster risk reduction and crucial for types of disasters with potentially significant impacts, such as earthquakes. Besides the direct impact of very devastating shocks, earthquakes can also trigger cascading events that are no less damaging such as landslides, liquefaction, and tsunamis. This study aims to apply the H3 spatial indexing system to improve earthquake risk assessment using Sorong City as a case study, and compare the result of H3-based risk assessment with the normative risk assessment in Indonesia as defined by relevant Perka BNPB (Badan Nasional Penanggulangan Bencana/National Disaster Management Authority) 2/2012. H3 is an open-source geospatial indexing system developed by Uber, which utilizes a hierarchical hexagonal grid for indexing, calculations, and visualization. The hexagonal cells in the grid have equidistant neighbors and possess the property of expanding neighboring rings, approximating circles and optimizing space filling. The H3 spatial index finds extensive applications in earthquake hazard, vulnerability, capacity, and risk assessment systems. The value of each parameter is entered into each hexagon so that in the end each hexagon has its risk index value. The study shows that the use of H3 in earthquake risk assessment can provide a more detailed level of analysis and indirectly does not depend on regional administrative boundaries. Technically, this advantage provides a more efficient calculation method and is also easier to modify partially both spatially and in terms of the parameters used. Based on the performance evaluation results on the spatial join aspect, H3 provides much faster performance compared to traditional indexing systems. Hence, the H3 spatial index will be very useful to meet the need for an earthquake risk assessment on a larger scale with a higher level of resolution.
The risk of ignorance of DEM Height Reference System on coastal inundation modeling (the case of Jakarta)
Authors: Andreas Heri , Juliandri Firman , Pradipta Dhota , Sarsito Dina A. , Abidin Hasanuddin Z. 
Published: October 2023

Abstract
As a result of continuing land subsidence which is also followed by sea level rise, some lowland coastal areas will experience coastal inundation. The lowlands will gradually become lower than sea level at high tide and even during normal conditions. Some areas where even it is not high tide would experience coastal inundation permanently in certain time. Coastal inundation modeling is important to create, so that we can map potential hazards and disaster risks. With coastal conditions that are usually inhabited by many people, become economic centers and others, then when coastal inundation occurs, material losses will certainly occur. To create a coastal inundation model, parameters are needed including the DEM. The coastal lowlands are represented from the DEM. From the corrected DEM for land subsidence, sea level rise and tidal hydraulic models, with some calculation we will get a coastal inundation model. The most important thing related to this model is the accuracy of the DEM and the height of the reference system. If we do not use an accurate DEM, and do not use the height reference system correctly then we will not get a reliable coastal inundation model. The impact is that we will not be get a correct map the hazards and disaster risks due to the coastal inundation. This paper will demonstrate the risk when we ignore the height reference system, so that we get a miss leading in the dangers and risks of coastal inundation in Jakarta as a case study area. As a result of investigation we can see with incorrect height reference system we found underestimate and or overestimate model and disputed the risk.
Cianjur M5.6 Earthquake Aftershock Survey (CEAS) Using ITB Temporary Seismographs
Authors: Azhari M F , Nugraha A D , Zulfakriza Z , Ry RV , Lesmana A , Putra A S , Muttaqy F , Heryandoko N , Saputra A , Mawadah A , Putri D A , Saputra H S 
Published: October 2023

Abstract
Western Java, part of the Sunda Arc, is an active tectonic region with high seismicity. The tectonic activity has produced active faults which are located near densely populated areas. On November 21, 2022, a significant earthquake rocked the Cianjur region, West Java, causing severe damage and loss of life. In this study we acquired aftershock data which was generated from the Cianjur M5.6 earthquake. Twenty stations consisting of 19 Smartsolo IGU-16HR 3C 5 Hz Seismometer (short-period type) and 1 Guralp 6TD 30s to 100 Hz Seismometer (broadband type) were deployed to monitor aftershocks from 22 November to 23 December 2022. The seismograph stations were deployed covering the earthquake source area and tectonic features in the Cianjur region. The results show that the aftershock events is clearly recorded at 20 stations with an average difference between the arrival times of the S waves and P waves (Ts-Tp) of 2 seconds. A total of ±500 earthquake events were obtained consisting of ±4000 P wave phases and ±3000 S wave phases with a Vp/Vs ratio value of 1.72 and RMS error less than 0.1 second. The Cianjur M5.6 earthquake was classified as a shallow crustal seismicity with a strike slip fault mechanism, hypocenters were generally distributed at a depth of 3-10 km.
Volcanic Geohazard Analysis - Case Study from the Ujung Lemah Abang Nuclear Power Plant Area, Central West Java
Authors: Sumintadiredja P , Rudyawan A , Surmayadi M , Sucipta IGBE 
Published: October 2023

Abstract
The paper discusses the proposed development plan of a nuclear power plant in the Ujung Lemah Abang (ULA) region, located in the northern part of Mount Muria in Central Java, Indonesia. The study evaluates the potential volcanic disasters at the proposed site of the Ujung Lemah Abang nuclear power plant (NPP-ULA) near Mount Muria using the Bayesian method, which is based on a probabilistic model of the spatial distribution of volcanic events in the past and the geological processes model.
Mount Mulia is a polygenetic volcano that undergoes periodic eruptions alternating between lateral and central eruption-dominated phases. Semivariogram analysis shows a range of 150,000 years. This corresponds to the average duration of volcanic activity and the time between eruptions. Mount Muria volcanic complex can be classified as an extinct volcano with limited future eruption potential based on its last activity 320,000 years ago. The probability of eruption occurrences in Muria within the next 100 years is 1.21856 x 10−5. With this probability of eruptions, it appears that the Muria Mtn is not going to be erupted anytime soon. However, when a new magma system emerges, resulting in epicenter concentrations beneath Mount Muria, micro-earthquake monitoring is required to detect magmatic activities beneath the Muria Volcanic Complex. To estimate the likelihood of phreatomagmatic eruptions, geothermometer monitoring in deep wells is required as an active monitoring of hydrothermal activity in the Muria Volcanic Complex.
Utilization of Jason-3 Satellite Altimetry Data for Observation of TC Seroja
Authors: Mahetran Hananda D. , Wijaya Dudy D. , Tanuwijaya Zamzam A. J. , Kuntjoro Wedyanto , Setyadji Agustinus B. , Nurzman Fathin , Radjawane Ivonne M. , Park Hansan 
Published: October 2023

Abstract
The Jason-3 Satellite Altimetry has two main instruments: the Poseidon-3B Altimeter and the Advanced Microwave Radiometer. The two sensors produce many output data. Satellite altimetry data commonly used to observe TC are Sea Level Anomaly (SLA) and Significant Wave Height (SWH). This research tries something new by adding three other data, namely Precipitable Water Vapor (PWV), Liquid Water Content (LWC), and Wind Speed (WS). The object of this research is TC Seroja which occurred from 2 to 12 April 2021. This research was conducted to obtain all variable’s spatial and temporal profiles. The results of this study indicate that TC Seroja causes an increase in SLA, PWV, SWH, LWC, and WS. The highest SLA was 0.495 m, SWH was 4.649 m, PWV was 0.10760 m, LWC was 2.08 kg/m2, and WS was 18.42 m/s. In addition, the spatial model for the five variables in April 2021 obtained using IDW (Inverse Distance Weighting) can also provide information on the influence of TC in various places.
Data Reconstruction of Sea Surface Temperature in Indonesia’s Fish Management Area 713 (IFMA-713) Using Machine Learning
Authors: Nurdjaman S , Wicaksono R A , Kartadikaria A R , Abdullah M R 
Published: October 2023

AbstractThe IFMA-713 in Indonesia is water that has dynamic of temperature changes due to interactions with the Pacific Ocean and the surrounding. Sea surface temperature data can be obtained by measuring with satellite imagery. However, satellite imagery measurements of sea surface temperature can be incomplete due to cloud cover. In this study, a machine learning method was used to reconstruct sea surface temperature data using a backpropagation neural network algorithm. The data used in this research is data captured with MODIS Satellite. Then, the reconstruction of sea surface temperature data is carried with four scenarios with missing data percentages: empty data, zero values, average values at the point of data collection, and Indonesia’s average sea surface temperature. Accurate results were obtained in reconstructing sea surface temperature where the scenarios had a positive correlation. The most accurate scenarios for reconstructing sea surface temperature data with missing data were those in which the empty data was filled with average values at the point of data collection or Indonesia’s average sea surface temperature.
Effectiveness of vertical error budget model for portable multi-beam echo-sounder in shallow water bathymetric survey
Authors: Abubakar AA , Poerbandono  
Published: October 2023

Abstract
With the increasing availability of portable survey equipment and platforms, hydrographic data acquisition now offers a diverse range of device options and installation methods. Tailoring the mounting and installation of hydrographic survey devices to fit the boat or platform dimensions has become common practice. The use of portable equipment is essential, given the wide selection of combined options available in the market. Consequently, sensor offsets and device performance differ for each survey conducted, necessitating the constant verification of accuracy performance.
This paper examines the capabilities of portable multibeam echosounder (MBES) deployments on various types of survey boats. The investigation focuses on error budget modeling and field tests. A model is developed to estimate the propagated uncertainty resulting from different sources of measurement uncertainties. The model primarily considers vertical sources of error in MBES surveys, as they have the most significant impact on hydrographic data quality. To validate the model, field tests are conducted at two different locations using different boat and device configurations. The results demonstrate that the modeled uncertainties align with the measured standard deviations, particularly in the Pramuka area, where the standard deviation of data acquired at the widest beam angle of ±60° is 0.25m, close to the predicted value of 0.28m. However, in the Patimban area, the model overestimates the uncertainty, predicting 0.27m compared to the measured standard deviation of 0.17m.