Title: | j-Pix — a multiplatform acquisition package for Timepix3 |
Authors: | Broulím, Jan Broulím, Pavel Burian, Petr Holík, Michael Mora Sierra, Yesid Pospíšil, Stanislav Solar, Michael |
Citation: | BROULÍM, J., BROULÍM, P., BURIAN, P., HOLÍK, M., MORA SIERRA, Y., POSPÍŠIL, S., SOLAR, M. j-Pix — a multiplatform acquisition package for Timepix3. Journal of Instrumentation, 2019, roč. 14, č. 6, s. 0-6. ISSN 1748-0221. |
Issue Date: | 2019 |
Publisher: | IOP Publishing |
Document type: | článek article |
URI: | 2-s2.0-85069575990 http://hdl.handle.net/11025/36216 |
ISSN: | 1748-0221 |
Keywords in different language: | data acquisition concepts;data processing methods;detector control systems;detector and experiment monitoring;slow-control systems;architecture;hardware;algorithms;databases |
Abstract in different language: | We present a newly developed modular and multiplatform acquisition and control package dedicated for high performance Timepix3 pixel detector. The software package was originally developed for operation at ATLAS experiment. Afterwards, it was further extended as an independent package for general purpose measurements and online visualization with Timepix3. Timepix3 detector is a semiconductor detector of 256 x 256 square pixels providing information about energy and time of arrival with time resolution less than 2 ns, which generate a high amount of data to be processed in real time with the data acquisition package. The processed data stream from the detector can be stored on a hard drive and also displayed online using graphical interface with capability to control several number of acquisitions and display measured data using variable modules. Moreover, due to the architecture it can be further extended using external libraries working independently on the software. The architecture of the acquisition package enables online processing and visualization and it is designed as cross-compatible software (supportingWindows, Linux, MacOS, etc.). All peaks in data transmission can be further balanced by several buffers in the pipelined architecture. The size of buffers is configurable and allows scalable tuning according to the available resources. The pipelined architecture exploits all advantages of multithreading. |
Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IOP Publishing |
Appears in Collections: | Články / Articles (RICE) Články / Articles (KAE) OBD |
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http://hdl.handle.net/11025/36216
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