DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE

High Resolution Powder Diffractometer (HRPD) and Four Circle Diffractometer/Texture Diffractometer (FCD/TD) are two BATAN-owned neutron diffractometers which have been fully operational since 1992. These are used to investigate structure and texture of crystalline materials, respectively. Before ana...

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Main Authors: Muzakkiy Putra Muhammad Akhir, Rina Kamila
Format: Article
Language:English
Published: Badan Tenaga Nuklir Nasional (BATAN) 2020-10-01
Series:Tri Dasa Mega
Online Access:http://jurnal.batan.go.id/index.php/tridam/article/view/5998
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spelling doaj-8f5c6c6cc06b481aa8c1d9863c3c381e2021-03-03T03:09:38ZengBadan Tenaga Nuklir Nasional (BATAN)Tri Dasa Mega1411-240X2527-99632020-10-012239710310.17146/tdm.2020.22.3.59984997DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODEMuzakkiy Putra Muhammad Akhir0Rina Kamila1National Nuclear Energy Agency of Indonesia (BATAN)National Nuclear Energy Agency of Indonesia (BATAN)High Resolution Powder Diffractometer (HRPD) and Four Circle Diffractometer/Texture Diffractometer (FCD/TD) are two BATAN-owned neutron diffractometers which have been fully operational since 1992. These are used to investigate structure and texture of crystalline materials, respectively. Before analyzing, the acquired raw neutron diffraction data should first be processed in a specific way to achieve the suitable data format required by the analysis software. This data processing step is a repetitive task for every single experiment which is previously done manually and very time-consuming. The purpose of this development project was to optimize this step to be fully automatic and executable by a code. This work was performed by means of Python code utilizing the array manipulation in re-arranging and re-formatting the raw data. The resulted Python codes were named as hrpd.py and fcdtd.py. These have been successfully done and validated, making data processing step easier, simpler, and significantly faster with only 20 seconds or less required. Keywords: HRPD, FCD/TD, Automatic Data Processing, Neutron Diffraction, Pythonhttp://jurnal.batan.go.id/index.php/tridam/article/view/5998
collection DOAJ
language English
format Article
sources DOAJ
author Muzakkiy Putra Muhammad Akhir
Rina Kamila
spellingShingle Muzakkiy Putra Muhammad Akhir
Rina Kamila
DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
Tri Dasa Mega
author_facet Muzakkiy Putra Muhammad Akhir
Rina Kamila
author_sort Muzakkiy Putra Muhammad Akhir
title DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
title_short DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
title_full DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
title_fullStr DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
title_full_unstemmed DEVELOPMENT OF AUTOMATIC DATA PROCESSING FOR BATAN’S HRPD AND FCD/TD USING PYTHON CODE
title_sort development of automatic data processing for batan’s hrpd and fcd/td using python code
publisher Badan Tenaga Nuklir Nasional (BATAN)
series Tri Dasa Mega
issn 1411-240X
2527-9963
publishDate 2020-10-01
description High Resolution Powder Diffractometer (HRPD) and Four Circle Diffractometer/Texture Diffractometer (FCD/TD) are two BATAN-owned neutron diffractometers which have been fully operational since 1992. These are used to investigate structure and texture of crystalline materials, respectively. Before analyzing, the acquired raw neutron diffraction data should first be processed in a specific way to achieve the suitable data format required by the analysis software. This data processing step is a repetitive task for every single experiment which is previously done manually and very time-consuming. The purpose of this development project was to optimize this step to be fully automatic and executable by a code. This work was performed by means of Python code utilizing the array manipulation in re-arranging and re-formatting the raw data. The resulted Python codes were named as hrpd.py and fcdtd.py. These have been successfully done and validated, making data processing step easier, simpler, and significantly faster with only 20 seconds or less required. Keywords: HRPD, FCD/TD, Automatic Data Processing, Neutron Diffraction, Python
url http://jurnal.batan.go.id/index.php/tridam/article/view/5998
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AT rinakamila developmentofautomaticdataprocessingforbatanshrpdandfcdtdusingpythoncode
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