Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm

Yu Bao; R. P. Johnson; A. Sy; Y. Derbenev; V. S. Morozov; A. Afanasev

Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm

Yu Bao
, R. P. Johnson
, A. Sy
, Y. Derbenev
, V. S. Morozov
, A. Afanasev

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

Abstract

Skew Parametric-resonance Ionization Cooling (Skew PIC) is designed for the final 6D cooling of a high-luminosity muon collider. Tracking of muons in such a channel has been modeled in MADX and matter-dominated simulation tool G4beanline in previous studies. In this work, we developed an optimization code based on Genetic Algorithm (GA). We optimized the cooling channel and increased the acceptance of the channel by using the GA code.

Original language	English
Title of host publication	IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference
Publisher	Joint Accelerator Conferences Website - JACoW
Pages	111-113
Number of pages	3
ISBN (Electronic)	9783954501823
State	Published - Jul 2017
Externally published	Yes
Event	8th International Particle Accelerator Conference, IPAC 2017 - Bella Conference Center, Denmark Duration: May 14 2017 → May 19 2017

Publication series

Name	IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference

Conference

Conference	8th International Particle Accelerator Conference, IPAC 2017
Country/Territory	Denmark
City	Bella Conference Center
Period	05/14/17 → 05/19/17

Funding

∗ Email: [email protected]. This work is supported by Muons Inc.

Cite this

Bao, Y., Johnson, R. P., Sy, A., Derbenev, Y., Morozov, V. S., & Afanasev, A. (2017). Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm. In IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference (pp. 111-113). (IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference). Joint Accelerator Conferences Website - JACoW.

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title = "Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm",

abstract = "Skew Parametric-resonance Ionization Cooling (Skew PIC) is designed for the final 6D cooling of a high-luminosity muon collider. Tracking of muons in such a channel has been modeled in MADX and matter-dominated simulation tool G4beanline in previous studies. In this work, we developed an optimization code based on Genetic Algorithm (GA). We optimized the cooling channel and increased the acceptance of the channel by using the GA code.",

author = "Yu Bao and Johnson, \{R. P.\} and A. Sy and Y. Derbenev and Morozov, \{V. S.\} and A. Afanasev",

note = "Publisher Copyright: {\textcopyright} 2017 CC-BY-3.0 and by the respective authors; 8th International Particle Accelerator Conference, IPAC 2017 ; Conference date: 14-05-2017 Through 19-05-2017",

year = "2017",

month = jul,

language = "English",

series = "IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference",

publisher = "Joint Accelerator Conferences Website - JACoW",

pages = "111--113",

booktitle = "IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference",

}

Bao, Y, Johnson, RP, Sy, A, Derbenev, Y, Morozov, VS & Afanasev, A 2017, Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm. in IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference. IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference, Joint Accelerator Conferences Website - JACoW, pp. 111-113, 8th International Particle Accelerator Conference, IPAC 2017, Bella Conference Center, Denmark, 05/14/17.

Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm. / Bao, Yu; Johnson, R. P.; Sy, A. et al.
IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference. Joint Accelerator Conferences Website - JACoW, 2017. p. 111-113 (IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference).

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

TY - GEN

T1 - Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm

AU - Bao, Yu

AU - Johnson, R. P.

AU - Sy, A.

AU - Derbenev, Y.

AU - Morozov, V. S.

AU - Afanasev, A.

PY - 2017/7

Y1 - 2017/7

N2 - Skew Parametric-resonance Ionization Cooling (Skew PIC) is designed for the final 6D cooling of a high-luminosity muon collider. Tracking of muons in such a channel has been modeled in MADX and matter-dominated simulation tool G4beanline in previous studies. In this work, we developed an optimization code based on Genetic Algorithm (GA). We optimized the cooling channel and increased the acceptance of the channel by using the GA code.

AB - Skew Parametric-resonance Ionization Cooling (Skew PIC) is designed for the final 6D cooling of a high-luminosity muon collider. Tracking of muons in such a channel has been modeled in MADX and matter-dominated simulation tool G4beanline in previous studies. In this work, we developed an optimization code based on Genetic Algorithm (GA). We optimized the cooling channel and increased the acceptance of the channel by using the GA code.

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M3 - Conference contribution

AN - SCOPUS:85119661275

T3 - IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference

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BT - IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference

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Y2 - 14 May 2017 through 19 May 2017

ER -

Bao Y, Johnson RP, Sy A, Derbenev Y, Morozov VS, Afanasev A. Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm. In IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference. Joint Accelerator Conferences Website - JACoW. 2017. p. 111-113. (IPAC 2017 - Proceedings of the 8th International Particle Accelerator Conference).

Optimization of a skew parametric resonance ionization cooling channel using genetic algorithm

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