50 citations · 61 across the 4 of their papers we have counts for
4 papers
Infrasound Newtonian Noise Estimation at the Einstein Telescope Candidate Site Sos Enattos
Wathela Alhassan, D. Rosinska, M. Suchenek +2
We investigate the seasonal variability of atmospheric infrasound and its contribution to Newtonian noise (NN) at the Sos Enattos site, a leading candidate location for the Einstei…
PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning
Wathela Alhassan, T. Bulik, M. Suchenek
We present PyMerger, a Python tool for detecting binary black hole (BBH) mergers from the Einstein Telescope (ET), based on a Deep Residual Neural Network model (ResNet). ResNet wa…
Detection of Einstein Telescope gravitational wave signals from binary black holes using deep learning
Wathela Alhassan, Tomasz Bulik, Mariusz Suchenek
The expected volume of data from the third-generation gravitational waves (GWs) Einstein Telescope (ET) detector would make traditional GWs search methods such as match filtering i…
The FIRST Classifier: Compact and Extended Radio Galaxy Classification using Deep Convolutional Neural Networks
Wathela Alhassan, A. R. Taylor, Mattia Vaccari
Upcoming surveys with new radio observatories such as the Square Kilometer Array will generate a wealth of imaging data containing large numbers of radio galaxies. Different classe…