A fast response time gas ionization chamber detector with a grid structure

作者
Jiahao Chang,Chaoyang Zhu,Yuanpeng Song,Zhentao Wang
出处
期刊:Journal of X-ray Science and Technology [IOS Press]
卷期号:32 (2): 339-354 被引量:1
标识
DOI:10.3233/xst-230219
摘要

The time response characteristic of the detector is crucial in radiation imaging systems. Unfortunately, existing parallel plate ionization chamber detectors have a slow response time, which leads to blurry radiation images. To enhance imaging quality, the electrode structure of the detector must be modified to reduce the response time. This paper proposes a gas detector with a grid structure that has a fast response time. In this study, the detector electrostatic field was calculated using COMSOL, while Garfield++ was utilized to simulate the detector's output signal. To validate the accuracy of simulation results, the experimental ionization chamber was tested on the experimental platform. The results revealed that the average electric field intensity in the induced region of the grid detector was increased by at least 33%. The detector response time was reduced to 27% -38% of that of the parallel plate detector, while the sensitivity of the detector was only reduced by 10%. Therefore, incorporating a grid structure within the parallel plate detector can significantly improve the time response characteristics of the gas detector, providing an insight for future detector enhancements.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
怡然念之发布了新的文献求助10
刚刚
刚刚
1秒前
FashionBoy应助旰旰旰采纳,获得10
1秒前
1秒前
鲤鱼平安完成签到,获得积分10
2秒前
啦啦啦完成签到,获得积分20
2秒前
龙卡烧烤店发布了新的文献求助200
3秒前
大成子发布了新的文献求助10
4秒前
充电宝应助爱琏说采纳,获得10
4秒前
Simpler发布了新的文献求助10
4秒前
大妙妙发布了新的文献求助10
4秒前
大哥门发布了新的文献求助10
5秒前
科研通AI6.2应助维尼采纳,获得10
5秒前
6秒前
啦啦啦发布了新的文献求助10
7秒前
7秒前
9秒前
9秒前
10秒前
CipherSage应助望月QAQ采纳,获得10
10秒前
11秒前
sweety0721发布了新的文献求助10
11秒前
12秒前
12秒前
12秒前
天天快乐应助132采纳,获得10
13秒前
爱琏说完成签到,获得积分10
13秒前
123发布了新的文献求助10
14秒前
14秒前
祁卿完成签到,获得积分10
14秒前
小二郎应助Simpler采纳,获得10
14秒前
kai发布了新的文献求助10
16秒前
17秒前
koro完成签到,获得积分10
17秒前
Juyu发布了新的文献求助10
18秒前
charry发布了新的文献求助10
18秒前
饱满的绮波完成签到 ,获得积分10
19秒前
小叶完成签到 ,获得积分10
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7636238
求助须知:如何正确求助?哪些是违规求助? 9210084
关于积分的说明 19754617
捐赠科研通 7203845
什么是DOI,文献DOI怎么找? 3275370
关于科研通互助平台的介绍 2437186
邀请新用户注册赠送积分活动 2272503