论文标题
使用强子加速器的二维相空间投影预测光束传输
Predicting Beam Transmission Using 2-Dimensional Phase Space Projections Of Hadron Accelerators
论文作者
论文摘要
我们提出了一种从强子加速器压缩2D横向空间预测的方法，并使用该信息来预测光束传输。该方法假设可以至少获得4D横断面空间的至少三个投影，并且可以使用精确的模拟模型。使用模拟模型，我们表明，可以训练使用卷积自动编码器的程序来减少相位信息，以便以后可用于预测光束传输。最后，我们认为，尽管使用现实的非线性分布的预测会产生较少准确的结果，但该方法仍然可以很好地概括。
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.
