Cryogenic System for PKU-FEL - Journal of Modern Physics

JMP > Vol.4 No.6, June 2013

Journal of Modern Physics

Volume 4, Issue 6 (June 2013)

ISSN Print: 2153-1196 ISSN Online: 2153-120X

Google-based Impact Factor: 0.86 Citations h5-index & Ranking

Cryogenic System for PKU-FEL ()

HTML

Download as PDF (Size: 464KB) PP. 1-4

DOI: 10.4236/jmp.2013.46A001 4,253 Downloads 6,150 Views Citations

Author(s)

Lianyou Xiong, Nan Peng, Wenhai Lu, Liqiang Liu, Xiaojun Liu, Jing Li, Liya Ma, Bing Dong, Yongcheng Jiang, Jiancheng Tang, Liang Zhang

Affiliation(s)

State Key Laboratory of Technologies in Space Cryogenic Propellants, Beijing, China.
Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China.

ABSTRACT

PKU-FEL based on superconducting (SC) accelerator facility is under construction at PekingUniversity. It will run in IR (5 - 10 μm) and THz (100 - 3000 μm) region as an ideal experimental FEL platform for universities. The SC accelerator facility is composed of a DC-SC injector and a 1.3-GHz 2 × 9-cell SC accelerator. In order to better the performance, the injector and the accelerator are bath-cooled by 2 K super fluid helium in cryostats. A 2 K cryogenic system has been designed, constructed and assembled.

KEYWORDS

Free Electron Laser; Superconducting Accelerator; Cryogenic System

Share and Cite:

L. Xiong, N. Peng, W. Lu, L. Liu, X. Liu, J. Li, L. Ma, B. Dong, Y. Jiang, J. Tang and L. Zhang, "Cryogenic System for PKU-FEL," Journal of Modern Physics, Vol. 4 No. 6A, 2013, pp. 1-4. doi: 10.4236/jmp.2013.46A001.

Cited by

[1]	A systematic review of machine learning algorithms for PHM of rolling element bearings: fundamentals, concepts, and applications
	2020

[2]	Fault diagnosis method based on improved evidence reasoning
	2019

[3]	Detection of deterioration of three-phase induction motor using vibration signals
	2019

[4]	The order statistics correlation coefficient and PPMCC fuse non-dimension in fault diagnosis of rotating petrochemical unit
	2018

[5]	Vibration-based fault diagnosis of commutator motor
	2018

[6]	Recognition of acoustic signals of commutator motors
	2018

[7]	Fault diagnosis of rotation machinery based on support vector machine optimized by quantum genetic algorithm
	2018

[8]	Data fusion method based on mutual dimensionless
	2017

[9]	Toward hybrid Au nanorods@ M (Au, Ag, Pd and Pt) core–shell heterostructures for ultrasensitive SERS probes
	2017

[10]	Fault diagnosis methods of rotating machinery based on mathematical morphology
	2017

[11]	Corrigendum to “A Diagnosis Method for Rotation Machinery Faults Based on Dimensionless Indexes Combined with-Nearest Neighbor Algorithm”
	2017

[12]	基于大数据的石油化工旋转机械的无量纲故障诊断
	2017

[13]	Fault diagnosis of a rolling bearing using wavelet packet denoising and random forests
	2017

[14]	Double sample data fusion method based on combination rules
	2016

[15]	An Individual Nanocube‐Based Plasmonic Biosensor for Real‐Time Monitoring the Structural Switch of the Telomeric G‐Quadruplex
	2016

[16]	An information fusion fault diagnosis method based on dimensionless indicators with static discounting factor and KNN
	2015

[17]	Single Gold@ Silver Nanoprobes for Real-time Tracing the Entire Autophagy Process at Single-Cell Level
	Journal of the American Chemical Society, 2015

[18]	Plasmonic Nanobiosensor Based on Hairpin DNA for Detection of Trace Oligonucleotides Biomarker in Cancers
	ACS applied materials & interfaces, 2015

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journals Menu

Home

About SCIRP

Service

Policies