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Collider detection challenge using acceleration sensor (by Korea Atomic Energy Research Institute)

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collider prediction using acceleration sensor

Collider detection using acceleration sensor task was to predict collider 2D position(x, y), mass and velocity.

Summary of approach

  • LB Score: Entered top 7% (Public 0.0063, Private: 0.00662)

Data

  • Data visualization
    acceleration sensor 1
    acceleration sensor 2
    acceleration sensor 3
    acceleration sensor 4

Method

  • Residual CNN for time-series (M)
  • Multi-layer perceptron (X, Y, V)
  • Model average ensemble
  • Permutation feature selection

Feature engineering

  • Distance Feature using signal arrival time delta
  • Original Signal
    fft
  • Fast Fourier Transform (FFT)
    fft
  • Power density estimation (PSD)
    psd
  • Auto correlation
    autocorr
  • Spectrogram
    spectrogram
  • Mel spectrogram (except)
    mel
  • Statistical information
  • Peak distance mean/std

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Collider detection challenge using acceleration sensor (by Korea Atomic Energy Research Institute)

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