A Simulation System And Its Applications For Signal Readout Of Cmos Pixel Sensors In High Energy Physics Experiments

• doi: 10.1109/ICIEA.2019.8833896
• title: A simulation system and its applications for signal readout of CMOS pixel sensors in high energy physics experiments
• publisher: IEEE
• isbn: 978-1-5386-9491-6
• issn: 2156-2318
• rank: 1286
• access_type: LOCKED
• content_type: Conferences
• abstract: Since the successful application in the STAR experiment, CMOS pixel sensors (CPSs) are preferred to be used in some other high energy physics experiments such as ALICE, CEPC and so on due to the low cost and potentially high performance. In this paper, we present an efficient simulation system for the signal readout of CPSs and its applications on simulating the Orthopix design and on studying new readout strategies. The proposed simulation system generates amounts of input hit images according the imaging characteristics in high energy physics experiments and evaluates the signal readout times and the data reconstruction efficiency for a specific readout strategy. The detection efficiencies of the Orthopix design are simulated with various images of different signal cluster sizes and occupancies. The obtained detection efficiencies are consistent with the results simulated with the abundant data from high energy physics experiments. In addition, two new readout strategies based on compressive sensing theory and based on binary search tree are introduced and studied with our simulation system. The simulation system can be used to evaluate the reconstruction efficiency and the required readout efforts. In one word, the proposed system demonstrates good efficiency on simulating the signal readout of CPS. The simulation systems can be utilized to study and improve other readout strategies for CPS in high energy physics experiments.
• article_number: 8833896
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8833896
• html_url: https://ieeexplore.ieee.org/document/8833896/
• abstract_url: https://ieeexplore.ieee.org/document/8833896/
• publication_title: 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
• conference_location: Xi'an, China
• conference_dates: 19-21 June 2019
• publication_number: 8815788
• is_number: 8833628
• publication_year: 2019
• publication_date: 19-21 June 2019
• start_page: 1714
• end_page: 1719
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 120
• insert_date: 20190916
• index_terms:
  • ieee_terms:
    • High energy physics
    • Image reconstruction
    • Integrated circuit modeling
    • Tools
    • Detectors
    • Semiconductor device modeling
  • author_terms:
    • CMOS pixel sensors
    • Hit image generation
    • Pixel signal readout
    • Readout simulation
  • dynamic_index_terms:
    • Simulation System
    • Signal Readout
    • Sensor Pixel
    • High-energy Physics Experiments
    • High Energy Physics Experiments
    • Cluster Size
    • Data Reconstruction
    • Binary Tree
    • Binary Search
    • Amount Of Images
    • Quantity Of Images
    • Reconstruction Efficiency
    • Readout Scheme
    • Readout Strategy
    • Normal Distribution
    • Gaussian Distribution
    • Source Code
    • Data Compression
    • Power Consumption
    • Signal Amplitude
    • Charged Particles
    • Image Frames
    • Low Power Consumption
    • Circuit Simulation
    • Observation Matrix
    • Observation Matrices
    • Pixel Array
    • Pixel Clusters
    • Data Readout
    • Epitaxial Layer
    • Epilayer
    • Pixel Column
    • Charge Collection Efficiency
    • Uniform Random Distribution
    • Charge Collection
    • Non-zero Pixels
    • Matching Pursuit
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-9491-6, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5386-9489-3, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-9490-9, isbnType: New-2005
• authors:
  • Author Name: Xiaomin Wei
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/38541458500
    ID: 38541458500
    Order: 1
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Bo Li
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/38542489900
    ID: 38542489900
    Order: 2
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Yingjie He
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37087003170
    ID: 37087003170
    Order: 3
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Wei Niu
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37087004246
    ID: 37087004246
    Order: 4
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Ran Zheng
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37587146300
    ID: 37587146300
    Order: 5
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Jia Wang
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37965179400
    ID: 37965179400
    Order: 6
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Nan Chen
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37085721766
    ID: 37085721766
    Order: 7
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
  • Author Name: Yongcai Hu
    Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China
    Author URL: https://ieeexplore.ieee.org/author/37085572784
    ID: 37085572784
    Order: 8
    Author Affiliations:
    • School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, P.R. China

Image Sensor

• sensor_type: CMOS
• resolution: 2048x2048
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Used in particle detection in high energy physics experiments
• benefits: Low cost and potentially high performance

Supporting Organizations

• supported_by: National Natural Science Foundation of China, Natural Science Foundation of Shaanxi province, Fundamental Research Funds for the Central Universities

Manuscript Details

• publication_date: 19-21 June 2019

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

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