Time & Frequency Analyzer
Count events with a timing jitter of less than 20 ps RMS with the Moku Time & Frequency Analyzer. Feed configurable event detectors into up to four ultra-precise interval analyzers to replace your frequency counter, event counter, photon counter, and more — all with one versatile instrument with real-time, on-device histograms and interval statistics.
- Available on
- Moku:Pro >
- Moku:Lab >
- Moku:Go >
The Moku Time & Frequency Analyzer is easy to use and offers a range of advanced capabilities to optimize your experiment.
Key benefits of the Moku
Time & Frequency Analyzer
With ultra-low timing jitter, an integrated Data Logger, and zero dead-time statistics and on-device histograms, the Moku Time & Frequency Analyzer accelerates experiment timelines and increases data interpretation efficiency.
Analyze lossless, real-time histograms
Accumulate measurement outcomes over time. With a minimum bin-width of 0.78 ps, it’s easy to observe timing errors, perform time-correlated single photon counting, and more. Capture and display trillions of events without streaming gigabytes of data to a computer for offline processing.
Try the softwareConfigure event detector thresholds
Program up to four event thresholds and up to four time intervals using any combinations of two events. Collect lossless distributions of any time interval such as rise and fall times, pulse widths, or duty cycle.
Log raw event timestamps
Log timestamps to onboard storage or a file for maximum flexibility in post-processing. Export histograms, waveform statistics, or logged data for further analysis.
Output a scaled voltage proportional to an interval
Bridge the gap between time and other measurement domains. Convert time to an amplitude to decode pulse-width modulated signals, control laser power, and more. Combine the Time & Frequency Analyzer with the PID Controller in Multi-instrument Mode to build a closed-loop control system.
Engineered to work seamlessly with your preferred APIs
API integration with Python, MATLAB, and LabVIEW allows straightforward automation of your Moku device in complex setups or for repetitive tasks. Save your measurements, screenshots, traces, and other settings locally or to your preferred cloud app. You can also send work to yourself or colleagues within the Moku app.
Engineered for demanding applications
Use the Moku Time & Frequency Analyzer to accelerate development timelines with speed and flexibility unmatched by any other instrument in its class.
Integrates seamlessly with your tech stack
Specifications and technical documents
The Moku Time & Frequency Analyzer runs on Moku:Pro, Moku:Lab, and Moku:Go. Compare the specifications to choose the right device for your application.
Technical specifications
Channels/Event detectors
4
2
2
RMS jitter
< 20 ps
< 20 ps
< 50 ps
Clock stability
300 ppb
500 ppb
25 ppm
Digital resolution
0.78 ps
1.95 ps
7.8 ps
Maximum interval rate
150 MHz
62.5 MHz
15 MHz
Software & utilities
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Documentation
Moku:Pro
Time & Frequency Analyzer
Technical specifications
Channels/Event detectors
4
RMS jitter
< 20 ps
Clock stability
300 ppb
Digital resolution
0.78 ps
Maximum interval rate
300 MHz
Software & utilities
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Moku:Lab
Time & Frequency Analyzer
Technical specifications
Channels/Event detectors
2
RMS jitter
< 20 ps
Clock stability
500 ppb
Digital resolution
1.95 ps
Maximum interval rate
125 MHz
Software & utilities
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Moku:Go
Time & Frequency Analyzer
Technical specifications
Channels/Event detectors
2
RMS jitter
< 50 ps
Clock stability
25 ppm
Digital resolution
7.8 ps
Maximum interval rate
15 MHz
Software & utilities
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Featured resources
From detailed case studies featuring real-world users to comprehensive application notes that explore instrument features and functions, we offer a range of resources to help you utilize the Moku Time & Frequency Analyzer in your experiments.