Semantic segmentation for neutrino event reconstruction in NOvA

NOvA实验研究了中微子从芝加哥外的费米实验室的加速器到明尼苏达州北方的一个巨大探测器的810公里路程中的变化（“振荡”）。通过研究这些振荡，我们希望了解三个中微子中哪一个最重，以及中微子和它们的反粒子的振荡之间是否有任何区别。这种差异可以解释宇宙是由物质主导的，而不是由等量的物质和反物质组成的奥秘。在2018/2019年，NOvA将运行一个小型复制探测器，我们将暴露于具有良好控制特性的粒子束。该项目将现代深度学习技术应用于收集的大量数据样本，以开发一种新的，更强大的中微子相互作用分类器，并可能成为一种有效模拟中微子相互作用的新技术。

The NOvA experiment studies the changes ("oscillations") of neutrinos as they travel 810km from an accelerator at Fermilab, outside Chicago, to a huge detector in northern Minnesota. By studying these oscillations we hope to learn which of the three neutrinos is the heaviest, and if there is any difference between the oscillations of neutrinos and their antiparticles. Such a difference could provide an explanation for the mystery that the universe is dominated by matter, rather than consisting of equal parts matter and antimatter. In 2018/2019 NOvA will operate a small replica detector that we will expose to beams of particles with well-controlled properties. This project is to apply modern deep-learning techniques to the large collected data sample to develop a new, more-powerful, neutrino interaction classifier, and potentially a new technique for efficiently simulating neutrino interactions.