QuickNXS provides a powerful data analysis and evaluation utility for magnetism reflectometers. It comes with a complex set of tools that enables users to process polarized ToF reflectivity data in NeXus files, generate histograms and other types of graphs. To be noted that QuickNXS is not for everyone. Since it uses specialized language, it can only serve physicists who are studying magnetism and its effects, and are familiar with reflectivity models. Its interface might seem rather crowded, but this is not surprising at all, considering its data processing capabilities and options. You start by typing in the number of a direct beam dataset; as soon as the corresponding raw nexus file is loaded, the plot windows are populated. QuickNXS displays X and Y projections, alongside the reflectivity graph. QuickNXS is configured to automatically calculate the reduction parameters, so as to obtain the most accurate results, but this mode only works if the scan numbers of the direct beam measurements are lower than the actual ones. Otherwise, you must perform the reduction yourself, step by step, which is not a bad thing if you want more control over the parameters. With QuickNXS, you can generate 2D Q-maps, 1D line projections and reflectivity curves, based on raw data. It automatically detects graph peaks and enables you to compare raw data sets. Also, you can extract specular, off-specular or GISANS data, set the scaling and configure cutting points, perform normalization and polarization. Furthermore, the integrated Python console makes it possible for you to load external scripts. Analysis results can be easily exported, choosing the reductions and the spin states to be stored. Alternatively, you can send the report via email directly from the application.
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QuickNXS Serial Key provides a powerful data analysis and evaluation utility for reflectometers. It comes with a complex set of tools that enables users to process polarized ToF reflectivity data in NeXus files, generate histograms and other types of graphs. If you are a physicist who wants to have easy and powerful access to data analysis and statistics, this tool can help you in your studies. Its interface might seem rather crowded, but this is not surprising at all, considering its data processing capabilities and options. You start by typing in the number of a direct beam dataset; as soon as the corresponding raw nexus file is loaded, the plot windows are populated. QuickNXS displays X and Y projections, alongside the reflectivity graph. The QuickNXS interface is configured to automatically calculate the reduction parameters, so as to obtain the most accurate results, but this mode only works if the scan numbers of the direct beam measurements are lower than the actual ones. Otherwise, you must perform the reduction yourself, step by step, which is not a bad thing if you want more control over the parameters. With QuickNXS, you can generate 2D Q-maps, 1D line projections and reflectivity curves, based on raw data. It automatically detects graph peaks and enables you to compare raw data sets. Also, you can extract specular, off-specular or GISANS data, set the scaling and configure cutting points, perform normalization and polarization. Furthermore, the integrated Python console makes it possible for you to load external scripts. Analysis results can be easily exported, choosing the reductions and the spin states to be stored. Alternatively, you can send the report via email directly from the application. QuickNXS Description: QuickNXS provides a powerful data analysis and evaluation utility for reflectometers. It comes with a complex set of tools that enables users to process polarized ToF reflectivity data in NeXus files, generate histograms and other types of graphs. If you are a physicist who wants to have easy and powerful access to data analysis and statistics, this tool can help you in your studies. Its interface might seem rather crowded, but this is not surprising at all, considering its data processing capabilities and options. You start by typing in the number of a direct beam dataset; as soon as the corresponding raw nexus file is loaded, the plot windows are populated. QuickNXS displays X and Y projections, alongside the reflectivity graph. The QuickNX
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The KEYMACRO is an extended version of the Macro that allows you to enter the magnetic field value as an integral over a rectangular domain. The macro therefore becomes dependent on the chosen rectangular domain. (From Macro help) DecimatedGroupLorentz: Group Lorentz: DecimatedGroupLorentz DecimatedGroupLorentz is a simple and fast group Lorentzian. A Lorentzian consists of an intensity function and a phase function, like a Gaussian. The Lorentzian can be approximated by a group Lorentzian (GOL) in which the intensity is decimated by a factor of 2, as the Lorentzian is also the Gaussian. A double box can be used to give the Lorentzian a Gaussian shape. By default, DecimatedGroupLorentz uses an exponential weighting function (EWF), which is calculated by a constant factor of 1.0. A more flexible approach to EWF is possible, which will be introduced in a later version. PhaseShifter: PhaseShifter PhaseShifter is a simple and fast phase correction routine for magnonics. This routine consists of a shift, and a gain in the amplitude function, applied to the original data. PhaseShifter can correct for any relative phase shift. It can be applied between two channels, or it can be applied to each of the channels independently. IndexSelection: IndexSelection IndexSelection is a simple and fast method of indexing. The data points are stored in a data structure in which the channels are stored in consecutive order. NeXusBinaryDecode: NeXusBinaryDecode NeXusBinaryDecode is a simple and fast way to load NeXus files. NeXusBinaryEncode: NeXusBinaryEncode NeXusBinaryEncode is a simple and fast way to encode NeXus files. NeXusBinaryInfo: NeXusBinaryInfo NeXusBinaryInfo is a simple and fast way to get NeXus information. NeXusBinaryRead: NeXusBinaryRead NeXusBinaryRead is a simple and fast way to read NeXus files. NeXusBinaryWrite: NeXusBinaryWrite a86638bb04
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QuickNXS is a software that helps you to plot, compare and analyze magnetism reflectivity data. You can select either line projection or 2D Q-maps (z-axis rotations) graph windows, the X and Y scan numbers for each dataset, and the window units. You can calculate the reduction parameters automatically (based on the minimum of the direct beam datasets), or you can perform the reduction yourself. The application comes with a number of Python scripts that you can use, allowing you to perform further operations, like extracting specular, off-specular, or GISANS data, normalization and polarization. You can plot the data with different column, line and window styles. Besides, you can save the image data in your preferred format. Features: – View raw data using 2D Q-maps, 1D line projections or reflectivity plots. – Calculate reduction parameters automatically or manually. – Export and analyse data for either raw data or reduced data. – Calculate reduction parameters automatically or manually. – Plot data using different column, line and window styles. – Save data in your preferred format. – Plot and extract data in different units. – GISANS data extraction. – Polarization and normalization. – Specular and off-specular data extraction. – Save data in your preferred format. – Automatically plots the offset curves of each dataset. – Configure the cut points in the data. – Compare the data in two plots. – Normalize the data. – Specular and off-specular data extraction. – Configure the cut points in the data. – Compare the data in two plots. – Reduce the data based on the data in the same window. – Normalize the data. – Configure the cut points in the data. – Compare the data in two plots. – Specular and off-specular data extraction. – Configure the cut points in the data. – Configure the cut points in the data. – Save the data based on the scans or the dataset in the same window. – Configure the cut points in the data. – Save the data based on the scans or the dataset in the same window. – Normalize the data. – Configure the cut points in the data. – Configure the cut points in the data. – Compare the data in two plots
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The Magnetism Analysis Suite (MAS) was designed to help magnetic materials scientists and physicists perform advanced analysis and evaluation of magnetometry, X-ray magnetic circular dichroism (XMCD), and neutron reflectometry (NR) data. The suite is designed to allow for the rapid creation of finished output files in well-defined formats that can be displayed directly in Adobe Acrobat or other common PDF readers. In addition, the MAS also includes many other capabilities including the ability to view individual axis data, scalar magnetometry data, magnetic form factor analysis, and more. In essence, the purpose of the MAS is to provide the user with a set of tools and GUI-driven approaches to perform the analysis, interpretation, and visualization of the complex and inter-related data inherent to the complex magnetic-field, energy, and spin-state characterization of materials. The suite provides the user with a suite of analysis tools and methods to handle data using a combination of proprietary and freely available open source software. Summary: QuickNXS was designed as a fast and versatile data reduction and analysis tool, intended to make life easier for the magnetic material scientist or physicist working with neutron reflectivity data. It can be used as stand-alone tool or it can be connected with other software like Paraview, NifTI or Matplotlib. Description: QuickNXS was designed as a fast and versatile data reduction and analysis tool, intended to make life easier for the magnetic material scientist or physicist working with neutron reflectivity data. It can be used as stand-alone tool or it can be connected with other software like Paraview, NifTI or Matplotlib. It can be used for the rapid creation of finished output files in well-defined formats that can be displayed directly in Adobe Acrobat or other common PDF readers. QuickNXS has a very friendly and intuitive user interface which includes a Python console. The Python console can be used to execute Python scripts with access to python libraries. This feature is very useful for users to develop their own scripts. QuickNXS is the ideal choice for processing big data sets, e.g., magnetometry datasets. The processing speed and user experience is exceptional. In addition, QuickNXS has an advanced data plotting module that can be used to generate 2D Q-maps, 1D line projections and reflectivity curves, based on raw data. It automatically detects graph peaks and enables you to compare raw data sets. Furthermore, QuickNXS can be configured to perform easy and secure data transfer. This feature allows the exchange of data sets between QuickNXS and other software through the Secure File Transfer Protocol (SFTP). Also, QuickNXS has the ability to load and save data in any format compatible with NIFTI files. Furthermore, the built-in Python console makes it possible for the user to load external scripts and run them.
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