/collider-prediction

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

Primary LanguagePython

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