Liquid Instruments

Join us this month to learn how to use Python and reconfigurable, FPGA-based instrumentation to maximize efficiency and speed in your lab — from getting started to implementing advanced scripts for waveform generation, data logging, and more. 🗓️ Date: July 24 ⏰ Time: Session 1: 8 a.m. PDT | Session 2: 6 p.m. PDT Register for Session 1: https://lnkd.in/gwzcgF6R Register for Session 2: https://lnkd.in/gk67kQaR 🎁 Complete the post-webinar survey for a chance to win a Moku:Go!

When it comes to #darkmatter detection, the short time length of each event combined with the long timescale of every search means that researchers are often left with gigabytes of data to sift through. Learn how one team is leveraging Moku:Pro with flexible data logging and #Python support to fast-track event detection with minimal setup. 🔎

FPGA code is complex, but it doesn't have to be painful. With generative #AI tools, it's easy to write #FPGA code using #Python as a starting point. With this flexibility, you can accelerate the development of custom test instruments and features, then deploy them instantly to your FPGA-based Moku device to run alongside any of the other included instruments. Check it out: https://hubs.ly/Q02GGLlb0

From real-time interfacing to automated control, there's no limit to what you can do with #Python integration for the reconfigurable Moku platform. The Moku Python API is compatible with both Python scripting and live environments, so it's easy to start interacting with your #testandmeasurement device right away. Check it out: https://hubs.ly/Q02GDBZn0

From communications to photon counting to oscillator characterization, precise time measurements are critical in a range of experiments. Learn how to use the Moku Time & Frequency Analyzer to calculate and visualize time interval data, using a pulse-width modulated sequence as a test. With low jitter, real-time histograms, and zero dead-time, Moku can help capture all your data accurately.

“Multi-instrument Mode gives us the flexibility we really need." Learn how researchers at Humboldt-Universität zu Berlin are eliminating tedious manual processes, automating essential tests, and optimizing clock stability with #FPGA-based instrumentation and #Python API support. Check it out: https://hubs.ly/Q02GhZfz0

“We also almost always use the Moku app’s GUI first, so we can easily see live data when we’re changing various settings. Creating a GUI ourselves would be an intensive programming task.” The search for #darkmatter is one of the biggest mysteries in modern #physics. 🕵️♂️ Learn how one team led by scientists at SLAC National Accelerator Laboratory, Los Alamos National Laboratory, California State University - East Bay, the University of Illinois Urbana-Champaign, and Santa Clara University is constructing a light dark matter detector with flexible Moku #datalogging and #Python API support.

It's easy to leverage the flexibility of #FPGA-based instrumentation and #Python together to run custom scripts for your experimental stack — from integrating into existing setups to conquering your toughest research challenges. Learn how to get started: https://hubs.ly/Q02FRv990

Last chance to sign up! Join us and our partners at Laser 2000 UK today to learn how reconfigurable instrumentation simplifies PDH #laserlocking while automating maintenance against disturbances and delivering higher-quality data💡 Register now: https://hubs.ly/Q02FL68q0

From clock analysis to pulse-width modulation decoding, the Moku Time & Frequency Analyzer can do it all. ✅ Frequency counter ✅ Time-to-voltage converter ✅ Photon counter Check out our configuration guide to learn three helpful setups: https://hubs.ly/Q02FhwvQ0