Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks

Autor:	Erdmann, Martin, Geiger, Lukas, Glombitza, Jonas, Schmidt, David
Rok vydání:	2018
Předmět:	Astrophysics - Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
Druh dokumentu:	Working Paper
Popis:	We use adversarial network architectures together with the Wasserstein distance to generate or refine simulated detector data. The data reflect two-dimensional projections of spatially distributed signal patterns with a broad spectrum of applications. As an example, we use an observatory to detect cosmic ray-induced air showers with a ground-based array of particle detectors. First we investigate a method of generating detector patterns with variable signal strengths while constraining the primary particle energy. We then present a technique to refine simulated time traces of detectors to match corresponding data distributions. With this method we demonstrate that training a deep network with refined data-like signal traces leads to a more precise energy reconstruction of data events compared to training with the originally simulated traces. Comment: 10 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1802.03325 Zobrazit plný text záznamu View this record from Arxiv