There are plenty of data analysis tools on the market, but if you work with experimental data, it’s tough to find one specifically tailored for your work–at least until now. Experimental Data Analyst, the latest addition to the Wolfram Research Applications Library, is the answer. It’s designed specifically for physical scientists, engineers, life scientists, experimental psychologists, students, and anyone else working experimental data.

From extensive data fitting capabilities to visualization and error propagation, Experimental Data Analyst uses the power of Mathematica to get the most out of experimental data. Researchers and students at all levels use Experimental Data Analyst for fitting, error analysis, and visualization. The extensive error analysis capabilities easily allow them to obtain estimated errors in the fit parameters and to examine graphical information about the fit, including residuals of the fit. This is the only software that enables them to handle errors in both coordinates of the data. Users can import and export ASCII and binary data. Experimental Data Analyst is easily customized and provides users a rich environment for the visualization of experimental data.

Jean Peccoud, a medical researcher at the Institut Albert Bonniot in France, has used Experimental Data Analyst and Mathematica to calibrate data acquisition systems to fit experimental data to various models, giving him a completely new interface to his instruments.

“Experimental Data Analyst provides a lot of functions that are extremely useful to anybody who has to analyze experimental data,” Peccoud saids. “It also gives me a lot of flexibility in building custom functions that perfectly fit my needs. This saves me time and money.”

More information on Experimental Data Analyst and other Mathematica applications is available.