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The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement. / Chashnikov, M.

25th Russian Particle Accelerator Conference, RuPAC 2016. JACoW, 2016. p. 742-743 (25th Russian Particle Accelerator Conference, RuPAC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Chashnikov, M 2016, The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement. in 25th Russian Particle Accelerator Conference, RuPAC 2016. 25th Russian Particle Accelerator Conference, RuPAC 2016, JACoW, pp. 742-743, 25th Russian Particle Accelerator Conference, RuPAC 2016, St. Petersburg, Russian Federation, 21/11/16.

APA

Chashnikov, M. (2016). The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement. In 25th Russian Particle Accelerator Conference, RuPAC 2016 (pp. 742-743). (25th Russian Particle Accelerator Conference, RuPAC 2016). JACoW.

Vancouver

Chashnikov M. The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement. In 25th Russian Particle Accelerator Conference, RuPAC 2016. JACoW. 2016. p. 742-743. (25th Russian Particle Accelerator Conference, RuPAC 2016).

Author

Chashnikov, M. / The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement. 25th Russian Particle Accelerator Conference, RuPAC 2016. JACoW, 2016. pp. 742-743 (25th Russian Particle Accelerator Conference, RuPAC 2016).

BibTeX

@inproceedings{d64a76a59d5644abb65fd92ef6be147a,
title = "The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement",
abstract = "The charged beam moving in the accelerator is modelled by particle-in-cell method. The control with delay in the connection canal is simulated by the aftereffect. Thus, the model is described by system of the differential equations with delay. We observe and estimate changes of particles coordinates in the cross-section of the accelerator. It is supposed that initial conditions are the set with random error and we have chance of updating the solution in periodic timepoints with the same error. The dependence between the estimate dispersion and the measuring error dispersion is recieved.",
author = "M. Chashnikov",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 CC-BY-3.0 and by the respective authors; 25th Russian Particle Accelerator Conference, RuPAC 2016, RuPAC 2016 ; Conference date: 21-11-2016 Through 25-11-2016",
year = "2016",
language = "English",
series = "25th Russian Particle Accelerator Conference, RuPAC 2016",
publisher = "JACoW",
pages = "742--743",
booktitle = "25th Russian Particle Accelerator Conference, RuPAC 2016",
address = "Switzerland",

}

RIS

TY - GEN

T1 - The stochastic characteristics stability in the problem of observation and estimate of the charged particles movement

AU - Chashnikov, M.

N1 - Conference code: XXV

PY - 2016

Y1 - 2016

N2 - The charged beam moving in the accelerator is modelled by particle-in-cell method. The control with delay in the connection canal is simulated by the aftereffect. Thus, the model is described by system of the differential equations with delay. We observe and estimate changes of particles coordinates in the cross-section of the accelerator. It is supposed that initial conditions are the set with random error and we have chance of updating the solution in periodic timepoints with the same error. The dependence between the estimate dispersion and the measuring error dispersion is recieved.

AB - The charged beam moving in the accelerator is modelled by particle-in-cell method. The control with delay in the connection canal is simulated by the aftereffect. Thus, the model is described by system of the differential equations with delay. We observe and estimate changes of particles coordinates in the cross-section of the accelerator. It is supposed that initial conditions are the set with random error and we have chance of updating the solution in periodic timepoints with the same error. The dependence between the estimate dispersion and the measuring error dispersion is recieved.

UR - http://www.scopus.com/inward/record.url?scp=85058686123&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85058686123

T3 - 25th Russian Particle Accelerator Conference, RuPAC 2016

SP - 742

EP - 743

BT - 25th Russian Particle Accelerator Conference, RuPAC 2016

PB - JACoW

T2 - 25th Russian Particle Accelerator Conference, RuPAC 2016

Y2 - 21 November 2016 through 25 November 2016

ER -

ID: 87444524