Time Tagger Setup

• Optimal PC Requirements for Time Tagger

  Time Tagger supports Windows (10 or higher) and Linux (Ubuntu 18.04+, CentOS 8). The high-performance GUI Time Tagger Lab is exclusive to Windows. Linux users can access a deprecated web application. macOS is unsupported, but solutions exist. CPU performance is crucial; optimal CPUs with high single-core performance ensure the best data streaming and preprocessing. Multi-threading is essential for simultaneous measurements.

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• Connecting Time Tagger via USB Port

  Time Tagger supports Windows and Linux but not macOS. Workarounds include running Windows on a virtual machine on macOS to use the USB-connected Time Tagger, or using TimeTaggerRPC to control the Time Tagger with macOS via a Windows or Linux machine.

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• Downloading the Time Tagger Software

  Download Swabian Instruments Software

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• Resolving License Acquisition Errors

  Learn how to resolve common issues with automatic license acquisition for Time Tagger software

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• Fixing Python ModuleNotFound Error for Time Tagger

  resolve compatibility issues between Time Tagger and Numpy 2.0.0 or higher by updating to the latest Time Tagger software version

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• Using Time Tagger on macOS

  Time Tagger supports Windows and Linux but not macOS. Workarounds include running Windows on a virtual machine on macOS to use the USB-connected Time Tagger, or using TimeTaggerRPC to control the Time Tagger with macOS via a Windows or Linux machine.

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• Connecting Time Tagger to an external FPGA

  Discover the advanced capabilities of the Time Tagger X with its QSFP+ interface, allowing high-speed, low-latency signal output to a secondary FPGA.

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• Fixing Numpy 2.0.0 Import Error in Time Tagger

  Troubleshoot Python module import issues for Time Tagger by ensuring the installation path is correctly added to the PYTHONPATH

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• Importing Time Tagger in Spyder IDE

  Fix the ImportError DLL load failed’ in Spyder by manually adding the Time Tagger Python module to Spyder’s custom PYTHONPATH

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