Perform single-photon detection and analysis with real-time computation of quantum statistics.
In photon counting experiments such as Hanbury Brown-Twiss setups, a common challenge is synthesizing and presenting data to detect coincidences or compute g²(𝛕) and higher-order correlation functions, prolonging project timelines. The Moku Time & Frequency Analyzer accelerates data interpretation with real-time, lossless histograms and interval statistics. Log photon arrival times at up to 10 Mevnt/s for post-processing to classify photon behavior.
“Previously, I had to hand-write C++ code for data analysis. The way Moku packs and organizes the data makes this much more efficient.”
Read the case study to learn how the group of Dr. Ming-Fei Li at the University of the Chinese Academy of Sciences is working to improve the cost-effectiveness and speed of low-intensity imaging processes for use in LiDAR and other imaging techniques.
Explore user case studies, comprehensive application notes, and detailed configuration guides to accelerate photon counting experiments.
Yes. Using the Time & Frequency Analyzer to measure the differences in photon arrival times in HBT setups is simple to configure. Read the configuration guide here.
Yes. To use the Time & Frequency Analyzer for time-correlated single photon counting (TCSPC), simply configure your interval to detect the time between the excitation pulse and the pulse from your emitted photon. Read the case study here.
On Moku:Pro, the digital resolution, or minimum bin width of the real-time histograms, is 0.78 ps, while the jitter is < 20 ps.
