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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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Related Experiment Video

Updated: Sep 3, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics
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Data Compression in the NEXT-100 Data Acquisition System.

Raúl Esteve Bosch1, Jorge Rodríguez Ponce1, Ander Simón Estévez2,3,4

  • 1Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

Data compression techniques are crucial for the NEXT-100 detector to manage high data throughput from its numerous sensors. These methods reduce data volume, minimizing system dead time and maintaining event rates for effective detector operation.

Keywords:
FPGAdata acquisition circuitsdata compression techniquesxenon TPC

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Area of Science:

  • High-energy physics
  • Particle detector instrumentation
  • Data acquisition systems

Background:

  • NEXT collaboration detectors utilize photomultipliers (PMT) and silicon photomultipliers (SiPM) for energy measurement and event filtering.
  • AC-coupled readout of PMTs necessitates precise baseline reconstruction due to signal variations, hindering traditional data compression like zero-suppression.
  • The NEXT-100 detector, with an increased number of sensors, faces significant data throughput challenges, potentially increasing system dead time.

Purpose of the Study:

  • To describe data compression techniques implemented for the NEXT-100 detector.
  • To reduce data throughput and minimize dead time in the NEXT-100 data acquisition system.
  • To maintain the detector's event rate at approximately 50 Hz, comparable to its predecessor.

Main Methods:

  • Application of advanced data compression techniques tailored for PMT and SiPM sensor data.
  • Optimization of zero-suppression for SiPM sensors to achieve a compression ratio of approximately 71%.
  • Development of new compression strategies to handle baseline variations in PMT sensor data.

Main Results:

  • The implemented data compression techniques effectively reduce the data throughput for the NEXT-100 detector.
  • System dead time is minimized, allowing for efficient data acquisition.
  • The event rate is successfully maintained at the desired level of around 50 Hz, comparable to the NEXT-White detector.

Conclusions:

  • Data compression is essential for managing the high data rates in large-scale particle detectors like NEXT-100.
  • The applied techniques enable efficient operation by reducing data volume and minimizing dead time.
  • These advancements ensure the NEXT-100 detector can effectively collect data for physics analysis.