Enhance the accuracy of x-ray and neutron reflectivity measurements.
Looking for a powerful software tool to help you fit X-ray and neutron reflectivity data? Look no further than GenX.
One of the standout features of GenX is its use of the differential evolution algorithm for fitting data. This cutting-edge algorithm helps ensure accurate results, even when dealing with complex or poorly understood data sets.
For simulating specular reflectivity, GenX utilizes the Parratt recursion formula, a tried-and-true method that has been used in scientific research for years.
But what really sets GenX apart is its extensibility. With the ability to incorporate custom models into the software, users can quickly and easily adapt GenX to fit the needs of their specific research projects.
This versatility makes GenX particularly useful for fitting data from other scattering experiments or tackling any other minimization problems that would benefit from the power of the differential evolution algorithm.
And perhaps best of all, GenX can handle an arbitrary number of data sets simultaneously, making it an invaluable tool for researchers who need to manage large amounts of data at once.
One of the standout features of GenX is its use of the differential evolution algorithm for fitting data. This cutting-edge algorithm helps ensure accurate results, even when dealing with complex or poorly understood data sets.
For simulating specular reflectivity, GenX utilizes the Parratt recursion formula, a tried-and-true method that has been used in scientific research for years.
But what really sets GenX apart is its extensibility. With the ability to incorporate custom models into the software, users can quickly and easily adapt GenX to fit the needs of their specific research projects.
This versatility makes GenX particularly useful for fitting data from other scattering experiments or tackling any other minimization problems that would benefit from the power of the differential evolution algorithm.
And perhaps best of all, GenX can handle an arbitrary number of data sets simultaneously, making it an invaluable tool for researchers who need to manage large amounts of data at once.
What's New
Version 2.0 Beta 5.2: N/A