The Time Tagger series combines high performance time-to-digital converters with flexible software toolkits, enabling you to acquire and process your digital signals on-the-fly.
This package contains the Python libraries for the Time Tagger API and the FPGA firmware required. These can be used to control the hardware and to create measurements that are hooked onto the time tag stream.
- Website: https://www.swabianinstruments.com/
- Downloads: https://www.swabianinstruments.com/time-tagger/downloads/
- Documentation: https://www.swabianinstruments.com/static/documentation/TimeTagger/index.html
- Installation instructions: https://www.swabianinstruments.com/static/documentation/TimeTagger/gettingStarted/installation.html#local
Requirements
- Python >= 3.8
- numpy >= 1.23.0
- Operating system: Linux (glibc >= 2.28), or Windows 10 (or newer)
All wheels use the CPython stable ABI (cp38-abi3) and are thus compatible with any Python version >= 3.8.
Installation
python -m pip install --upgrade pip
python -m pip install Swabian-TimeTagger
Usage
from Swabian import TimeTagger as TT
with TT.createTimeTagger() as tagger:
tagger.setTestSignal([1,2], True)
with TT.Correlation(tagger=tagger, channel_1=1, channel_2=2) as corr:
corr.startFor(1e12) # one second
corr.waitUntilFinished()
print(corr.getData())
Support
For assistance, please reach out to us at support@swabianinstruments.com
1 maintainer
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