Skip to main content

SYNCmoss — Mössbauer spectroscopy analysis application

Project description

SYNCmoss

Mössbauer Spectroscopy Analysis Software

References

Older version can be find https://gitlab.esrf.fr/yaroslav/syncmoss

Related article: Yaroslavtsev S., J. Synchrotron Rad., 2023 doi.org/10.1107/S1600577523001686

To run on Windows and MacOS

go to releases: https://github.com/sergey-yaroslavtsev/syncmoss/releases

download Windows related archieve, extract it, and run .exe

MacOS is not well tested. download MacOS related .dmg, install it, (pay attention to the comment in release)

To run on Linux

# create venv
python -m venv syncmoss
# activate it
source syncmoss/bin/activate
# install latest release syncmoss
pip install syncmoss
# or install directly from the repo
pip install git+https://github.com/sergey-yaroslavtsev/syncmoss.git
# run it (and try to enjoy it) 
syncmoss

Main features

  • User-friendly graphical interface (even better now)
  • Can extract instrumental function from spectrum of standard absorber
  • Sequence (batch) fitting
  • Simultaneous fitting
  • Full Hamiltonian model for single crystal case
  • 2-state relaxation model
  • Many-state superparamagnetic relaxation model
  • Anharmonic spin modulation (ASM) model
  • MDGD model (instead of xVBF https://doi.org/10.1016/j.nimb.2025.165669)
  • Multi-dimensional distributions with correlations (not reconstruction but functional)
  • Expressions (which could be linked to parameters)
  • Online (along with experiment) fitting
  • Parallel calculations of full-transmission integral

New features:

  • Library with import/export - create your own and share it with others
  • Interactive spectrum image

Author

Yaroslavtsev Sergey (ESRF | ADA and ID14)

License

This software is licensed under the MIT License. See LICENSE for details.

Copyright (c) European Synchrotron Radiation Facility (ESRF)

Third-Party Software

This software uses third-party libraries that are distributed under their own licenses:

  • PySide6: LGPL v3.0 (dynamically linked — does not affect MIT licensing of this project)
  • NumPy: BSD 3-Clause License
  • SciPy: BSD 3-Clause License
  • Matplotlib: Matplotlib License (BSD-compatible)

For complete third-party license information, see NOTICE.txt.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

syncmoss-0.2.0.tar.gz (257.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

syncmoss-0.2.0-py3-none-any.whl (244.7 kB view details)

Uploaded Python 3

File details

Details for the file syncmoss-0.2.0.tar.gz.

File metadata

  • Download URL: syncmoss-0.2.0.tar.gz
  • Upload date:
  • Size: 257.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for syncmoss-0.2.0.tar.gz
Algorithm Hash digest
SHA256 5da1f8e0267f1447f2a9b548734940f72cb5069e95c187d9ae68eee8c231ca19
MD5 6e3c6b1e0746084fa57bcdab3d85a66d
BLAKE2b-256 c3b417e61f06f4e4282f1e808ce853a7beceb89cc4c0b975ee255fc6c2e52124

See more details on using hashes here.

File details

Details for the file syncmoss-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: syncmoss-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 244.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for syncmoss-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e865c6c40e4577c6cd7e658c395904b38b26405d0751d5fa8610d2760b02011a
MD5 960aeb93b0a012d609d34a0f8cf93201
BLAKE2b-256 85cd9dd7d99549a1ada457238ee77001d2632d1fede73bc3c3eec5f2b135e5f0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page