MATSAS: a small-angle scattering computing tool for porous systems

Amirsaman Rezaeyan, Vitaliy Pipich, Andreas Busch

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
59 Downloads (Pure)

Abstract

MATSAS is a script-based MATLAB program for analysis of X-ray and neutron small-angle scattering (SAS) data obtained from various facilities. The program has primarily been developed for sedimentary rock samples but is equally applicable to other porous media. MATSAS imports raw SAS data from .xls(x) or .csv files, combines small-angle and very small angle scattering data, subtracts the sample background, and displays the processed scattering curves in log-log plots. MATSAS uses the polydisperse spherical (PDSP) model to obtain structural information on the scatterers (scattering objects); for a porous system, the results include specific surface area (SSA), porosity (Φ), and differential and logarithmic differential pore area/volume distributions. In addition, pore and surface fractal dimensions (Dp and Ds, respectively) are obtained from the scattering profiles. The program package allows simultaneous and rapid analysis of a batch of samples, and the results are then exported to .xlsx and .csv files with separate spreadsheets for individual samples. MATSAS is the first SAS program that delivers a full suite of pore characterizations for sedimentary rocks. MATSAS is an open-source package and is freely available at GitHub (https://github.com/matsas-software/MATSAS).

Original languageEnglish
Pages (from-to)697-706
Number of pages10
JournalJournal of Applied Crystallography
Volume54
Issue number2
DOIs
Publication statusPublished - 1 Apr 2021

Keywords

  • MATSAS
  • computer programs.
  • polydisperse spherical model
  • porous media
  • small-angle scattering

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology

Fingerprint

Dive into the research topics of 'MATSAS: a small-angle scattering computing tool for porous systems'. Together they form a unique fingerprint.

Cite this