10-14 October 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

Muon trigger for mobile phones

13 Oct 2016, 14:00
15m
Sierra A (San Francisco Mariott Marquis)

Sierra A

San Francisco Mariott Marquis

Oral Track 1: Online Computing Track 1: Online Computing

Speaker

Maxim Borisyak (National Research University Higher School of Economics (HSE) (RU); Yandex School of Data Analysis (RU))

Description

The CRAYFIS experiment proposes usage of private mobile phones as a ground detector for Ultra High Energy Cosmic Rays. Interacting with Earth's atmosphere they produce extensive particle showers which can be detected by cameras on mobile phones. A typical shower contains minimally-ionizing particles such as muons. As they interact with CMOS detector they leave low-energy tracks that sometimes are hard to distinguish from random detector noise. Triggers that rely on the presence of very bright pixels within an image frame are not efficient in this case

We present a muon trigger based on Convolutional Neural Networks which play role of trigger sequence and are evaluated in a `lazy' manner: response of the successive layer is computed only if activation of the current layer satisfy continuation criterion. Usage of the neural networks allows to increase sensitivity considerably. Also this modification allows for execution of the trigger under limited computational power constraint, e.g. on mobile phones.

Secondary Keyword (Optional) Trigger
Primary Keyword (Mandatory) Artificial intelligence/Machine learning

Primary author

Maxim Borisyak (National Research University Higher School of Economics (HSE) (RU); Yandex School of Data Analysis (RU))

Co-authors

Andrey Ustyuzhanin (National Research University Higher School of Economics (HSE) (RU); Yandex School of Data Analysis (RU)) Chase Owen Shimmin (University of California Irvine (US)) Michael J Mulhearn (University of California Davis (US)) Mikhail Usvyatsov (Moscow Institute of Physics and Technology (RU); Skolkovo Institute of Science and Technology (RU))

Presentation Materials