mlsanityData to 14 Oct 2026

Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)

arXiv 2401.05295 ↗First posted 10 Jan 2024physics.ins-det cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

To address the possible lack or total absence of pulses from particle detectors during the development of its associate electronics, we propose a model that can generate them without losing the features of the real ones. This model is based on artificial neural networks, namely Generative Adversarial Networks (GAN). We describe the proposed network architecture, its training methodology and the approach to train the GAN with real pulses from a scintillator receiving radiation from sources of 137Cs and 22Na. The Generator was installed in a Xilinx's System-On-Chip (SoC). We show how the network is capable of generating pulses with the same shape as the real ones that even match the data distributions in the original pulse-height histogram data.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 35 references that are in the map. First posted on arXiv 10 Jan 2024.

Builds on

20 of 35 references.

References · 20

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  2. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  3. 2021Alias-Free Generative Adversarial Networkscited by 1,184
  4. 2016Conditional Image Synthesis With Auxiliary Classifier GANscited by 565
  5. 2017Real-valued (Medical) Time Series Generation with Recurrent Conditional GANscited by 333
  6. 2016NIPS 2016 Tutorial: Generative Adversarial Networkscited by 285
  7. 2016C-RNN-GAN: Continuous recurrent neural networks with adversarial trainingcited by 132
  8. 2017CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networkscited by 78
  9. 2019Phase-aware Speech Enhancement with Deep Complex U-Netcited by 73
  10. 2017Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeterscited by 55
  11. 2019Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physicscited by 42
  12. 2018T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Samplingcited by 29
8 more
  1. 2019How to GAN away Detector Effectscited by 28
  2. 2020GANplifying Event Samplescited by 28
  3. 2019Synthesis of Realistic ECG using Generative Adversarial Networkscited by 26
  4. 2019Cherenkov Detectors Fast Simulation Using Neural Networkscited by 8
  5. 2019Fast Data-Driven Simulation of Cherenkov Detectors Using Generative Adversarial Networkscited by 6
  6. 2021A Spectral Enabled GAN for Time Series Data Generationcited by 6
  7. 2019Data Amplification: Instance-Optimal Property Estimationcited by 5
  8. 2019Data Amplification: A Unified and Competitive Approach to Property Estimationcited by 4

Built on by

Not cited yet.