DETECTION OF VACUUM ULTRAVIOLET RADIATED FROM PIEZOELECTRIC TRANSFORMER-BASED EXCIMER LAMP

被引:0
|
作者
Teranishi, K. [1 ]
Itoh, H. [1 ]
机构
[1] Chiba Inst Technol, Dept Elect Elect & Comp Engn, Chiba 2750016, Japan
来源
关键词
piezoelectric transformer; excimer lamp; dielectric barrier discharge; He-Xe mixture; atmospheric pressure;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A compact excimer lamp constructed with a piezoelectric transformer (PT) is investigated. This excimer lamp is based on the excitation of a dielectric barrier discharge (DBD) generated by the PT in a He-Xe mixture. The vacuum ultraviolet (VUV) radiated from the lamp is detected by a phototube having a spectral response range from 160 to 320 nm in conjunction with an optical filter to eliminate light less than 200 nm. The VUV radiation in the wavelength range 160-200 nm is obtained. This may be derived from the 172 nm light radiated by the transitions of the Xe(2)* excimers to the ground state. Also, investigations into the VUV intensity are carried out for different gas pressures and gap lengths and the optimal condition for the VUV radiations are also determined.
引用
收藏
页码:210 / 213
页数:4
相关论文
共 50 条
  • [31] Simulation of Excimer Ultraviolet (EUV) Emission from a Coaxial Xenon Excimer Ultraviolet Lamp Driven by Distorted Bipolar Square Voltages
    S.-Y. Jou
    C.-T. Hung
    Y.-M. Chiu
    J.-S. Wu
    B.-Y. Wei
    Plasma Chemistry and Plasma Processing, 2010, 30 : 907 - 931
  • [32] A Swin Transformer-Based Approach for Motorcycle Helmet Detection
    Bouhayane, Ayyoub
    Charouh, Zakaria
    Ghogho, Mounir
    Guennoun, Zouhair
    IEEE ACCESS, 2023, 11 : 74410 - 74419
  • [33] A Transformer-Based Framework for Payload Malware Detection and Classification
    Stein, Kyle
    Mahyari, Arash
    Francia, Guillermo, III
    El-Sheikh, Eman
    2024 IEEE 5TH ANNUAL WORLD AI IOT CONGRESS, AIIOT 2024, 2024, : 0105 - 0111
  • [34] A Novel Transformer-Based Adaptive Object Detection Method
    Su, Shuzhi
    Chen, Runbin
    Fang, Xianjin
    Zhang, Tian
    ELECTRONICS, 2023, 12 (03)
  • [35] TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection
    Guo, Zehao
    Wu, Nannan
    Zhao, Yiming
    Wang, Wenjun
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PT VI, DASFAA 2024, 2024, 14855 : 269 - 284
  • [36] Rethinking Transformer-based Set Prediction for Object Detection
    Sun, Zhiqing
    Cao, Shengcao
    Yang, Yiming
    Kitani, Kris
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 3591 - 3600
  • [37] Transformer-Based Language Models for Software Vulnerability Detection
    Thapa, Chandra
    Jang, Seung Ick
    Ahmed, Muhammad Ejaz
    Camtepe, Seyit
    Pieprzyk, Josef
    Nepal, Surya
    PROCEEDINGS OF THE 38TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE, ACSAC 2022, 2022, : 481 - 496
  • [38] AN EFFICIENT TRANSFORMER-BASED MODEL FOR VOICE ACTIVITY DETECTION
    Zhao, Yifei
    Champagne, Benoit
    2022 IEEE 32ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2022,
  • [39] PARASITIC EGG DETECTION AND CLASSIFICATION WITH TRANSFORMER-BASED ARCHITECTURES
    Pedraza, Anibal
    Ruiz-Santaquiteria, Jesus
    Deniz, Oscar
    Bueno, Gloria
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 4301 - 4305
  • [40] Transformer-Based Malicious Traffic Detection for Internet of Things
    Luo, Yantian
    Chen, Xu
    Ge, Ning
    Feng, Wei
    Lu, Jianhua
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 4187 - 4192