SIF Tools

Photoluminescence (PL) spectroscopy is a technique used in materials science, physics, and chemistry to analyse the optical properties of materials. It involves the excitation of a material using light and the measurement of the emitted light, providing insights into energy band structures, defect states, and material quality. Data from such experiments are often stored in .sif files, a proprietary format used by Andor Solis spectrometers. Handling and processing these files efficiently is essential for extracting meaningful information in scientific workflows.

SIF-Tools is a lightweight Python toolkit designed to read .sif data files from an Andor Solis spectrometer. This toolkit includes utilities for opening, analysing, and plotting data from .sif files, providing a convenient way to handle spectrometer data in scientific workflows. The bareboned package converts otherwise unreadable files into numpy dataarrays, that can then be plotted using any plotting package, giving the user complete control over the output.

Features

The SIF Tools package provides several powerful features:

• Read .sif files: Efficiently load and parse .sif files from Andor Solis spectrometers.
• Data manipulation: Tools for handling and processing spectrometer data.
• Visualization: Plot data directly from .sif files.

Installation

Install SIF Tools using pip:

pip install sif-toolkit

Alternatively, clone the repository:

git clone https://github.com/BjornFS/SIF-Toolkit.git

Usage

Example 1: Reading a single file:

from sif_tools import sif2array

file = '/Users/user/location/file.sif'
data = sif2array(target=file, reduce_noise=False, window='narrow')

Example 2: Working with hyperspectral data:

from sif_tools import hyperspectrum

bg = 'test_background.sif'
directory = 'UnitTests/UnitTest files'

data = hyperspectrum(directory=directory, background=bg, size=(4,4), reduce_noise=True, window='pinched')