Dr. Kai Jin Profile

Dr. Kai Jin

at Raytum Photonics

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 4 March 2022 Paper

Laser beam control using machine learning technology for particle accelerator

Kai Jin, Yimin Hu, Wei Lu, Shukui Zhang

Proceedings Volume 11997, 119970M (2022) https://doi.org/10.1117/12.2608311

KEYWORDS: Crystals, Control systems, Data modeling, Polarization, Neural networks, Machine learning, Electron beams, Visual process modeling, Systems modeling, Dysprosium

Read Abstract +

The Pockels Cells play important role in generating helicity-flipping polarized laser beam to be used in high energy electron beam accelerator facility. Due to exceptional requirements for ultra-stable electron beam in modern nuclear physics experiment, the operation of Pockels Cells which are key components to generate stable electron beam becomes critical. However, since the operation of Pockels Cell, which usually work in pair, involves beam alignments up to 12 degrees of freedom, it requires extremely complicated controls to maintain the stable output beam through whole operation time of accelerator. In this paper, we combined the machine learning method with the Pockels Cells control system, automatically collected data of Pockels cells optical properties such as polarization extinction ratio (PER), beam position, optical intensity asymmetry, etc., at different orientation angles and physical potions, and built an artificial neural network which can determine the optimal position of Pockels Cells. The trained artificial neural network can predict the PER, intensity asymmetry, beam position difference with a mean agreement around 95%, which makes it possible to find the optimal yaw/pitch/roll angles and physical positions of the Pockels cells in a short time. This technology can also be translated to alignments of devices in other laser systems such as high energy ultrafast oscillators and amplifiers.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years