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FPGA-suitable interpolated convolution centroiding algorithms for crossed-strip readout.

Xiao-Yun Zuo1,2, Jin-Kun Zheng1, Jin-Yao Duan1,2

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This study introduces a fast signal readout method for crossed-strip anodes using an interpolation convolution centroid algorithm. The new approach enhances event processing speed while maintaining high spatial resolution for improved detector performance.

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Area of Science:

  • Nuclear instrumentation
  • Signal processing
  • Particle detection

Background:

  • Crossed-strip anodes are crucial for position-sensitive detection in various scientific applications.
  • Existing readout methods often face limitations in balancing speed and spatial resolution.
  • Efficient signal processing is key to maximizing data acquisition rates in high-energy physics and medical imaging.

Purpose of the Study:

  • To develop and validate a novel signal readout method for crossed-strip anodes.
  • To enhance the event processing speed of crossed-strip anode systems.
  • To maintain high spatial resolution performance concurrently with increased readout speed.

Main Methods:

  • Implementation of an interpolation convolution centroid algorithm for signal readout.
  • Event channel determination through grouping and summing comparisons.
  • Centroid position calculation via zero-point interpolation of the electron cloud.
  • System verification using joint simulations in MATLAB and Vivado.

Main Results:

  • The proposed algorithm significantly improves the readout speed of crossed-strip anode signals.
  • High-resolution performance is maintained with the new readout method.
  • Experimental results demonstrate a spatial resolution of 22.63 lp/mm.
  • An event processing rate exceeding 20 MHz was achieved at this resolution.

Conclusions:

  • The interpolation convolution centroid algorithm offers a superior solution for crossed-strip anode signal readout.
  • This method effectively addresses the trade-off between speed and resolution in detector systems.
  • The validated performance indicates significant advancements for applications requiring fast, high-resolution position sensing.