Published March 17, 2022 | Version 0.1.0
Software Open

Input Scripting and Statistical Analysis (ISSA) Software Package

Authors/Creators

Description

The Input Scripting and Statistical Analysis (ISSA) software package allows for the easy scripting of large batches of input files for "black box" codes, and the statistical evaluation of their corresponding output values.

Files

ISSA.zip

Files (34.0 kB)

Name Size Download all
md5:b884805a0b7db9d06ac37b9f4370dc48
34.0 kB Preview Download

Additional details

References

  • Norris, J. (2019). Critical experiment design using OPTIMUS. ICNC 2019: 11 international conference on nuclear criticality safety, France.
  • Aho, A. V. (1991). Algorithms for finding patterns in strings, Handbook of theoretical computer science (vol. A): algorithms and complexity. MIT Press, Cambridge, MA.
  • Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., … SciPy 1.0 Contributors. (2020). SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17, 261–272. https://doi.org/10.1038/s41592-019-0686-2
  • Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., … Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585, 357–362. https://doi.org/10.1038/s41586-020-2649-2
  • Waskom, M., Botvinnik, Olga, O'Kane, Drew, Hobson, Paul, Lukauskas, Saulius, Gemperline,   David C, … Qalieh, Adel. (2017). mwaskom/seaborn: v0.8.1 (September 2017). Zenodo. https://doi.org/10.5281/zenodo.883859
  • Waskom, M. L., (2021). seaborn: statistical data visualization. Journal of OpenJ. D. Hunter, "Matplotlib: A 2D Graphics Environment," in Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, May-June 2007, doi: 10.1109/MCSE.2007.55. Source Software, 6(60), 3021. https://doi.org/10.21105/joss.03021