THERMITS: A MATLAB code to process thermomagnetic data

Erdyanti, R B T; Antareza, Muhammad Archie; Tjiongnotoputera, Kevin Dwimanggala; Mariyanto, Mariyanto

doi:10.1063/5.0015630

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…In the data processing process, the HYSITS script developed by Erdayanti et al (2020) [19] was used. This program is in the matlab environment like the other magnetic program [20][21][22]. HYSITS was chosen because it produces 3 curves, that is M vs H curve (hysteresis curve), ΔM vs. H curve (difference between up and down curve), and d(ΔM)/dH vs. H curve (1st derivative of ΔM) according to the research of Tauxe (2003) [13], the 1st derivative of ΔM and ΔM curve generated by the HYSITS script can be used to determine the type of magnetic domain (can be seen at figure 1).…”

Section: Methodsmentioning

confidence: 99%

Analysis of Vibrating Sample Magnetometer (VSM) data of Brantas river sediments using HYSITS

Mariyanto

Ramadhan²,

Purba³

et al. 2022

J. Phys.: Conf. Ser.

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Several vital activities in East Java are supported by the Brantas River, ranging from irrigation, supply of water raw materials, to industry. Along with the growing population, has the potential to increase the pollution that occurs in the Brantas River. VSM data was taken from the measurement results in Brantas River sediments. The aim of this study is to analyze the VSM measurement data in the Brantas River using the HYSITS script. The analysis was carried out to determine the type of magnetic domain contained in the Brantas river sediment. HYSITS program is used to provides a deeper and better analysis and interpretation. The results show that HYSITS produces 2 curves besides hysteresis loop graphic, that is 1st derivative of ΔM curve and ΔM curve. From the Hysteresis curve of sample, it is known that the Saturation Magnetization (Ms ) value are 5.3262 - 5.998587 emu/g, the Saturation Remanent Magnetization (Mrs ) value are 1.1537 - 1.545586 emu/g, the Magnetic Coercivity (Bc ) value are 0.0188 - 0.020784 T, and Magnetic Remanent Coercivity (Bcr ) are 0.059891 - 0.0815. Result of the analysis indicates that the magnetic minerals in Brantas River are strongly suspected to represent ferrimagnetic minerals with Pseudo-Single Domain (PSD).

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Section: Methodsmentioning

confidence: 99%

Analysis of Vibrating Sample Magnetometer (VSM) data of Brantas river sediments using HYSITS

Mariyanto

Ramadhan²,

Purba³

et al. 2022

J. Phys.: Conf. Ser.

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“…The IRMITS program [15] is used as the main processing tool in this study. There are some other magnetic software that can be used to proceed magnetic data [16][17][18][19]. IRMITS is used because it produces 3 curves, namely (a) Linear Acquisition Plot (LAP) curve (b) Gradient Acquisition Plot (GAP) curve; (c) Standardized Acquisition Plot (SAP) curve (can be seen at figures 3 and 4).…”

Section: Methodsmentioning

confidence: 99%

Analysis of Isothermal Remanent Magnetization (IRM) data of Brantas river sediments using IRMITS program

Ramadhan

Purba²,

Nabilah³

et al. 2022

J. Phys.: Conf. Ser.

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Pollution is one of the big problems of continuous pollution in the Brantas River. The type of pollution that occurs in the sediment of a river is associated with the characteristics of its magnetic mineral. This study aims to determine the types of magnetic minerals in the Brantas River sediments. IRM data was taken from the measurement results in the Brantas River sediments. In this study, the IRMITS program is used to provides a deeper and better analysis and interpretation. From the processing results, IRMITS produces 3 graphs, namely the Linear Acquisition Plot (LAP) curve (b) the Gradient Acquisition Plot (GAP) curve; (c) Standardized Acquisition Plot (SAP) curve. From this study that has been done, it shows that magnetic minerals in the Brantas River are saturated in magnetic fields above 800mT with permanent coercivity occurring in the range 12-13 x 10−3 and z value 0 before saturation occurs. This indicates that most of the Brantas River sediments is dominated by magnetite minerals (Fe3O4).

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“…We used MatGPR R-3.1 (matlab-based program) to process the data by adjusting several parameters to obtain excellent and interpretable radargram results. Other matlab-based programs are also very useful in processing geophysical parameter data [9][10][11][12]. Fig.…”

Section: Raw Data Processingmentioning

confidence: 99%

Detection of subsurface water pipeline under SZJT Track Using Ground-Penetrating Radar Method

Mariyanto,

Parnadi,

Ramadhan

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Surabaya’s public facilities and rapid infrastructure development will change the physical environment and require careful attention in all aspects of development. One aspect is the location determination of subsurface objects such as gas pipes, electrical cable lines, and water pipes. Lack of pipeline management and mapping can fail underground pipeline identification during excavation. The subsurface water pipe is one of the most important things to support people’s needs. Knowing the location of these pipes is essential for government agencies in carrying out maintenance, pipeline development, and repair activities. We identified the subsurface water pipeline using the Ground-Penetrating Radar (GPR) method. It is because of a non-destructive working type and very well applied in investigating underground infrastructure with significant electromagnetic contrast with the surrounding soil. We conducted this research around Surabaya Zoo and Joyoboyo Terminal (SZJT) track. We conducted data acquisition with the GPR GSSI SIR-3000 system with a shielded antenna frequency of 270 MHz on 21 measurement lines (JB07 to JB27). The aim is to determine the location, depth, and structure of the subsurface water pipeline at the research location. We processed the measurement data using MatGPR R-3.1 software by adjusting signal position, dc removal, dewow, median filter, inverse amplitude decay, background removal, K-L filter, bandpass filter, and time-to-depth conversion. We conducted 2-D and 2.5-D modeling to visualize the water pipeline. A hyperbolic anomaly, suspected to be a water pipe, is detected from the presence of high amplitude at a depth of 1 – 2 meters, which we saw in almost every line with velocity values from 0.0609 - 0.113 m/ns and dielectric constant value of 7.05 – 24.27. The 2.5-D modeling shows that the water pipeline continues from the research location’s south (Surabaya River) to the north.

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THERMITS: A MATLAB code to process thermomagnetic data

Cited by 6 publications

References 16 publications

Analysis of Vibrating Sample Magnetometer (VSM) data of Brantas river sediments using HYSITS

Analysis of Vibrating Sample Magnetometer (VSM) data of Brantas river sediments using HYSITS

Analysis of Isothermal Remanent Magnetization (IRM) data of Brantas river sediments using IRMITS program

Detection of subsurface water pipeline under SZJT Track Using Ground-Penetrating Radar Method

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