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RealMass Calibration Software
Features
  • Calibration of mass standards using the subdivision and multiplication method for the realisation of the mass scale;
  • Accurate evaluation of weighing corrections, due to: air buoyancy, balances in use, centre of gravity difference;
  • Automatic evaluation of uncertainties depending on the instrumentation used, also considering possible correlations;
  • Use of weighted least squares using Lagrange multipliers and the Gauss-Markov approach.
RealMass Calibration Software schermata
Output
  • Estimate of mass and conventional mass values and their associated uncertainties;
  • Method of validation of the results based on residuals analysis and the use of check standards;
  • Record of a historical database with calibration results for each standard.

Release 1.1 (February 2024) was developed in Matlab R2021b

  • Works on 64-bit Microsoft Windows operating system;
  • Requires the use of Microsoft Excel;
  • Requires MATLAB's Compiler Runtime (MCR) version 9.11 (R2021b). The MCR installer file is not included in the Software distribution, but it can be automatically downloaded from the internet during the installation process (see also README.txt);
  • To install the software, unzip the file RealMAss_Cal_V1_1.zip and copy the following files to a folder in which the User has write permission for the files. 
  1. RealMass_Cal_V1_1.exe;
  2. RealMass Calibration Software_Licence_Agreement.pdf;
  3. User_Manual.pdf;
  4. ini.txt;
  5. Readme.txt;
  6. Splash.png;
  7. DB example.xlsx.
  • Double-click on the executable file “RealMass_Cal_V1_1.exe” in Windows Explorer, or create the shortcut to the file on the desktop.  A window opens and the main graphical user interface (GUI) is displayed (it may take several seconds for the GUI to be displayed).

The window can be resized by the User, according to the screen size and resolution.

  • See the User Manual for a complete description of the software and for information on the installation;
  • See the License Agreement for terms and conditions for the software license. 
Acknowledgments

The authors are grateful to the colleagues of the EMPIR 19RPT02 RealMass Project and to Walter Bich for their very useful comments and feedback during the software development.

This project EMPIR 19RPT02 RealMass has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.

Contacts

Andrea Malengo

Davide Torchio