TY - GEN
T1 - THERMITS
T2 - 2019 International Conference on Electromagnetism, Rock Magnetism and Magnetic Material, ICE-R3M 2019
AU - Erdyanti, Rinta Bi Tari
AU - Antareza, Muhammad Archie
AU - Tjiongnotoputera, Kevin Dwimanggala
AU - Mariyanto, Mariyanto
N1 - Publisher Copyright:
© 2020 Author(s).
PY - 2020/8/18
Y1 - 2020/8/18
N2 - A thermomagnetic analysis is a study of how a material reacts to the change in temperature. The analysis is conducted by cooling and/or heating the material and observing the change of magnetic moment. Through this observation, the Curie Temperature of a material can be obtained. This Curie Temperature is used to estimate the magnetic minerals contained in samples e.g., rocks, sediments, soils. This paper introduces THERMITS, a MATLAB code for analyzing the thermomagnetic data, which aims to replicate as well as make improvements on existing thermomagnetic analysis tools in MATLAB environment. This MATLAB code will generate three plots, which are thermomagnetic data (magnetic moment vs. temperature), 1st derivative, and 2nd derivative. These derivatives are generated in order to estimate the Curie temperature. The estimation is done by finding the highest value of the 2nd derivative curve which represents the maximum curvature of thermomagnetic data. To improve the accuracy of Curie temperature estimation, this code also provides a smoothing and estimation boundary. Smoothing is important to reduce the variability of the derivative curve so that the Curie temperature can be estimated correctly. Meanwhile, estimation boundary is needed to bound the estimation so that it will not conclude the outer boundary for the estimation; which often has instable data caused by the instrument error.
AB - A thermomagnetic analysis is a study of how a material reacts to the change in temperature. The analysis is conducted by cooling and/or heating the material and observing the change of magnetic moment. Through this observation, the Curie Temperature of a material can be obtained. This Curie Temperature is used to estimate the magnetic minerals contained in samples e.g., rocks, sediments, soils. This paper introduces THERMITS, a MATLAB code for analyzing the thermomagnetic data, which aims to replicate as well as make improvements on existing thermomagnetic analysis tools in MATLAB environment. This MATLAB code will generate three plots, which are thermomagnetic data (magnetic moment vs. temperature), 1st derivative, and 2nd derivative. These derivatives are generated in order to estimate the Curie temperature. The estimation is done by finding the highest value of the 2nd derivative curve which represents the maximum curvature of thermomagnetic data. To improve the accuracy of Curie temperature estimation, this code also provides a smoothing and estimation boundary. Smoothing is important to reduce the variability of the derivative curve so that the Curie temperature can be estimated correctly. Meanwhile, estimation boundary is needed to bound the estimation so that it will not conclude the outer boundary for the estimation; which often has instable data caused by the instrument error.
UR - http://www.scopus.com/inward/record.url?scp=85091555556&partnerID=8YFLogxK
U2 - 10.1063/5.0015630
DO - 10.1063/5.0015630
M3 - Conference contribution
AN - SCOPUS:85091555556
T3 - AIP Conference Proceedings
BT - International Conference on Electromagnetism, Rock Magnetism and Magnetic Material, ICE-R3M 2019
A2 - Sunaryono, Sunaryono
A2 - Hirt, Ann Marie
A2 - Herrin, Jason Scott
A2 - Muztaza, Nordiana Mohd
A2 - Diantoro, Markus
A2 - Bijaksana, Satria
PB - American Institute of Physics Inc.
Y2 - 18 September 2019 through 19 September 2019
ER -