RamPo

RamPo is a desktop application for processing Raman spectroscopy data, with a workflow adapted from PeakPo and refocused for high-pressure Raman experiments.

Current Scope

RamPo is designed around Raman spectroscopy for high pressure research.

Key points:

• input data: .spe Raman files
• 2D detector view: CCD image
• reference library concept: RAPO files for pressure-dependent Raman mode shifts (under development)
• session/save model: JSON-based snapshots stored in <filename>-rampo/

Main Features

• open and navigate SPE files
• convert wavelength-calibrated SPE data to Raman shift using the excitation laser wavelength
• define CCD row ROI and extract summed spectra from the ROI
• apply despike + Savitzky-Golay smoothing
• fit Raman background with polynomial fitting using user-defined background areas
• save background, bg-subtracted, smoothed, and ROI-derived spectra
• compare spectra with Diff
• process file sets with Map and Seq
• display and manage Waterfall spectra
• perform PeakFit analysis
• save and restore numbered backup snapshots

Installation

RamPo requires Python 3.10 or newer.

pip install rampo

Running RamPo

rampo

Typical Workflow

1. Open an .spe file by clicking Open SPE button.
2. Set the excitation laser wavelength.
3. Use the top mouse toolbar to switch between Zoom, ROI, and Peak.
4. In Spectrum, use ROI on the top CCD image to define the CCD row ROI for spectrum extraction.
5. Still in Spectrum, leave mouse mode in ROI and drag on the 1D spectrum to add background-fit areas. Repeat as needed, then click Fit BG. Check Bg show to display the fitted background and BgSub to subtract it.
6. Adjust Smoothing options if despike or Savitzky-Golay smoothing is needed.
7. For mapping, open the Map tab and click Load SPE files to select the map files. For ASU data, choose *-raw.spe files. Select Row-major for ASU data and Snake for APS data. Confirm Nx and Ny, then click Compute Map.
8. In Map or Seq, click the top ROI mouse mode, drag the spectral range on the main spectrum plot, and RamPo will return to Zoom after the ROI is set.
9. Use Diff, Waterfall, or PeakFit tools as needed. In PeakFit, switch to top Peak mode to add or remove peaks on the spectrum.
10. Press Save to create a numbered snapshot in the session folder.

Save / Restore Behavior

RamPo saves analysis state into a folder named:

<filename>-rampo

Inside that folder, numbered snapshot folders are created:

0/
1/
2/
...

Each numbered backup is intended to be self-contained and stores the JSON session state together with processed outputs such as spectra and related analysis files.

Notes

• Some disabled UI elements are intentionally kept visible as placeholders for future development.

Citation

RamPo - Raman spectroscopy analysis software for high-pressure experiments.

The citation string shipped with the package is defined in rampo/rampo/citation.py.