Imaging based feedback cooling of a levitated nanoparticle

Abstract

Imaging-based detection of the motion of the levitated nanoparticles complements a widely-used interferometric detection method, providing a precise and robust way to estimate the position of the particle. Here, we show the camera-based feedback cooling of a charged nanoparticle levitated in a linear Paul trap. A charged nanoparticle levitated in a vacuum was observed by CMOS camera systems. The nanoparticle images were processed in realtime with a microcontroller integrated with a CMOS image sensor. The phase-delayed position signal was fed-back to one of the trap electrodes resulting in the velocity damping cooling. Our study provides a simple and versatile approach applicable for control of low-frequency mechanical oscillators.

code available: https://github.com/minowayosuke/high_fps_camera_feedback

References in corpus (5)

• Levitodynamics: Levitation and control of microscopic objects in vacuum
• Attonewton force detection using microspheres in a dual-beam optical trap in high vacuum
• Optimal Feedback Cooling of a Charged Levitated Nanoparticle with Adaptive Control
• Large Quantum Delocalization of a Levitated Nanoparticle using Optimal Control: Applications for Force Sensing and Entangling via Weak Forces
• Performance and limits of feedback cooling methods for levitated oscillators: a direct comparison

Cited by in corpus (3)

• Event-Based Imaging of Levitated Microparticles
• Optical Levitation of Arrays of Microspheres
• Cross-correlation image analysis for real-time particle tracking