American Institute of Physics;United States: American Institute of Physics
摘要:
摘要： Feedback traps use closed-loop control to trap or manipulate small particles and molecules in solution. They have been applied to the measurement of physical and chemical properties of particles and to explore fundamental questions in the non-equilibrium statistical mechanics of small systems. These applications have been hampered by drifts in the electric forces used to manipulate the particles. Although the drifts are small for measurements on the order of seconds, they dominate on time scales of minutes or slower. Here, we show that a recursive maximum likelihood (RML) algorithm can allow real-time measurement and control of electric and stochastic forces over time scales of hours. Simulations show that the RML algorithm recovers known parameters accurately. Experimental estimates of diffusion coefficients are also consistent with expected physical properties. 其他題名： Rev Sci Instrum 出版者： United States: American Institute of Physics 出版日期： 2014-09-01 出處： Review of scientific instruments, 2014-09, Vol.85 (9), p.095102 資源來源： AIP Publishing Journals 版權： 2014 AIP Publishing LLC. 識別號： ISSN: 0034-6748 識別號： ISSN: 1089-7623 識別號： EISSN: 1089-7623 識別號： DOI: 10.1063/1.4894383 識別號： PMID: 25273767
