We hereby provide publications which describe the whitening pipeline:

  1. E. Cuoco, G. Calamai, L. Fabbroni, G. Losurdo, M. Mazzoni, R. Stanga and F. Vetrano, On-line power spectra identification and whitening for the noise in interferometric gravitational wave detectors, 2001, Class. Quantum Grav. 18 1727
  2. E. Cuoco, M. Razzano and A. Utina, “Wavelet-Based Classification of Transient Signals for Gravitational Wave Detectors,” 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 2648-2652.

Here you can find a some of publications where WDF pipeline was used to obtain scientific results:

  1. J. Powell, D. Trifirò, E. Cuoco, I.S. Heng and Marco Cavaglià, Classification methods for noise transients in advanced gravitational-wave detectors, 2015, Class. Quantum Grav. 32 215012
  2. J. Powell, A. Torres-Forné, R. Lynch, D. Trifirò, E. Cuoco, M. Cavaglià, I.S. Heng and J.A. Font2, Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data, 2017, Class. Quantum Grav. 34 034002
  3. M. Razzano, E. Cuoco, Image-based deep learning for classification of noise transients in gravitational wave detectors, 2018, Class. Quantum Grav. 35 095016
  4. A. Iess, E. Cuoco, F. Morawski, J. Powell, Core-Collapse Supernova gravitational-wave search and deep learning classification, 2020, Mach. Learn. Sci. Technol.