Počet záznamů: 1  

Bayesian Estimation of Experimental Parameters in Stochastic Inertial Systems: Theory, Simulations, and Experiments with Objects Levitated in Vacuum

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    SYSNO ASEP0574797
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevBayesian Estimation of Experimental Parameters in Stochastic Inertial Systems: Theory, Simulations, and Experiments with Objects Levitated in Vacuum
    Tvůrce(i) Šiler, Martin (UPT-D) RID, ORCID, SAI
    Svak, Vojtěch (UPT-D) RID, SAI
    Jonáš, Alexandr (UPT-D) RID, SAI, ORCID
    Simpson, Stephen Hugh (UPT-D) RID, SAI
    Brzobohatý, Oto (UPT-D) RID, ORCID, SAI
    Zemánek, Pavel (UPT-D) RID, SAI, ORCID
    Celkový počet autorů6
    Číslo článku064059
    Zdroj.dok.Physical Review Applied. - : American Physical Society - ISSN 2331-7019
    Roč. 19, č. 6 (2023)
    Poč.str.26 s.
    Forma vydáníOnline - E
    Jazyk dok.eng - angličtina
    Země vyd.US - Spojené státy americké
    Klíč. slovaoptical levitation ; force estimation ; stochastic processes
    Vědní obor RIVBH - Optika, masery a lasery
    Obor OECDOptics (including laser optics and quantum optics)
    CEPGF21-19245K GA ČR - Grantová agentura ČR
    EF16_026/0008460 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
    Způsob publikováníOpen access
    Institucionální podporaUPT-D - RVO:68081731
    UT WOS001019590200004
    EID SCOPUS85164196465
    DOI10.1103/PhysRevApplied.19.064059
    AnotaceHigh-quality nanomechanical oscillators can sensitively probe force, mass, or displacement in experi-ments bridging the gap between the classical and quantum domain. Dynamics of these stochastic systems is inherently determined by the interplay between acting external forces, viscous dissipation, and random driving by the thermal environment. The relevance of inertia then dictates that both position and momentum must, in principle, be known to fully describe the system, which makes its quantitative exper-imental characterization rather challenging. We introduce a general method of Bayesian inference of the force field and environmental parameters in stochastic inertial systems that operates solely on the time series of recorded noisy positions of the system. The method is first validated on simulated trajectories of model stochastic harmonic and anharmonic oscillators with damping. Subsequently, the method is applied to experimental trajectories of particles levitating in tailored optical fields and used to characterize the dynamics of particle motion in a nonlinear Duffing potential, a static or time-dependent double-well poten-tial, and a nonconservative force field. The presented inference procedure does not make any simplifying assumptions about the nature or symmetry of the acting force field and provides robust results with tra-jectories 2 orders of magnitude shorter than those typically required by alternative inference schemes. In addition to being a powerful tool for quantitative data analysis, it can also guide experimentalists in choosing appropriate sampling frequency (at least 20 measured points per single characteristic period) and length of the measured trajectories (at least 10 periods) to estimate the force field and environmental characteristics with a desired accuracy and precision.
    PracovištěÚstav přístrojové techniky
    KontaktMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Rok sběru2024
    Elektronická adresahttps://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.19.064059
Počet záznamů: 1  

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