Matlab-based modeling of GEM diagnostic data sequencer

Piotr Kolasiński; Krzysztof Poźniak; Tomasz Czarski; Maryna Chernyshova; Michał Gąska; Paweł Linczuk; Grzegorz Kasprowicz; Rafał Krawczyk; Andrzej Wojeński; Wojciech Zabołotny

doi:10.1117/12.2501467

1 October 2018 Matlab-based modeling of GEM diagnostic data sequencer

Piotr Kolasiński, Krzysztof Poźniak, Tomasz Czarski, Maryna Chernyshova, Michał Gąska, Paweł Linczuk, Grzegorz Kasprowicz, Rafał Krawczyk, Andrzej Wojeński, Wojciech Zabołotny

Author Affiliations +

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108083Z (2018) https://doi.org/10.1117/12.2501467
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

Abstract

This paper focuses on the model of the sequencer algorithm created in Matlab. The sequencer is used in the measurement system of 2nd generation for GEM detector. First, are described and compared two generations of the system. The article explains why sequencer is needed in the new system and presents how it works. It can collect data from many sources and send it out in unambiguous order. The model of the sequencer designed in Matlab allows adjusting its parameters to the specific process. The article explains technical aspects of the model, describes basic objects that were used to build the model. In the end, there are presented results. The sequencer is implemented in FPGA device.

Citation Download Citation

Piotr Kolasiński, Krzysztof Poźniak, Tomasz Czarski, Maryna Chernyshova, Michał Gąska, Paweł Linczuk, Grzegorz Kasprowicz, Rafał Krawczyk, Andrzej Wojeński, and Wojciech Zabołotny "Matlab-based modeling of GEM diagnostic data sequencer", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108083Z (1 October 2018); https://doi.org/10.1117/12.2501467

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available