TasVisAn and InsPy -- Python Packages for Triple-Axis Spectrometer Data Visualization, Analysis, Instrument Resolution Calculation, and Convolution
Guochu Deng, Garry J. McIntyre

TL;DR
The paper introduces two Python packages, TasVisAn and InsPy, designed for comprehensive visualization, analysis, and resolution calculation of triple-axis spectrometer data, enhancing experimental planning and data interpretation.
Contribution
It presents novel Python tools that integrate data visualization, analysis, and instrument resolution calculation specifically for TAS instruments, including support for complex multiplexing modes.
Findings
Supports data reduction and visualization for TAS instruments
Enables convolution fitting with instrument resolution data
Facilitates experiment planning with scan simulation tools
Abstract
Experimental data collected from a triple-axis spectrometer (TAS) are typically analysed by considering the instrument resolution, as the resolution of a TAS instrument is often complex and significantly influences the measured results. Two Python packages, TasVisAn and InsPy, have been developed to visualize and analyse data from TAS instruments - particularly from the cold-neutron TAS Sika and the thermal-neutron TAS Taipan at the Australian Centre for Neutron Scattering. TasVisAn offers a range of functions, including data importing, reduction, plotting, contour mapping, convolution fitting, and more, for data collected on TAS instruments, especially on Sika and Taipan. It also supports data reduction of the current trendy multi-analyser and multiplexing TAS instruments, including the multiplexing mode of Sika. Besides, it includes scan simulation and batch file validation tools for…
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