  We present a method to compressed the 2D transverse phase space projections
from a hadron accelerator and use that information to predict the beam
transmission. This method assumes that it is possible to obtain at least three
projections of the 4D transverse phase space and that an accurate simulation
model is available for the beamline. Using a simulated model we show that, a
procedure using a convolutional autoencoder can be trained to reduce
phase-space information which can later be used to predict the beam
transmission. Finally, we argue that although using projections from a
realistic non-linear distribution produces less accurate results, the method
still generalizes well.
