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RIS citation export for THSDSC03: Integrate EPICS 7 with MATLAB Using PVAccess for Python (P4P) Module

TY  - CONF
AU  - Kim, K.T.
AU  - Bellister, J.J.
AU  - Kim, K.H.
AU  - Williams, E.
AU  - Zelazny, S.
ED  - Schaa, Volker RW
ED  - Götz, Andy
ED  - Venter, Johan
ED  - White, Karen
ED  - Robichon, Marie
ED  - Rowland, Vivienne
TI  - Integrate EPICS 7 with MATLAB Using PVAccess for Python (P4P) Module
J2  - Proc. of ICALEPCS2023, Cape Town, South Africa, 09-13 October 2023
CY  - Cape Town, South Africa
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 19
LA  - english
AB  - MATLAB is essential for accelerator scientists engaged in data analysis and processing across diverse fields, including particle physics experiments, synchrotron light sources, XFELs, and telescopes, due to its extensive range of built-in functions and tools. Scientists also depend on EPICS 7 to control and monitor complex systems. Since Python has gained popularity in the scientific community and many facilities have been migrating towards it, SLAC has developed matpva, a Python interface to integrate EPICS 7 with MATLAB. Matpva utilizes the Python P4P module and EPICS 7 to offer a robust and reliable interface for MATLAB users that employ EPICS 7. The EPICS 7 PVAccess API allows higher-level scientific applications to get/set/monitor simple and complex structures from an EPICS 7-based control system. Moreover, matpva simplifies the process by handling the data type conversion from Python to MATLAB, making it easier for researchers to focus on their analyses and innovative ideas instead of technical data conversion. By leveraging matpva, researchers can work more efficiently and make discoveries in diverse fields, including particle physics and astronomy. 
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 1580
EP  - 1584
KW  - EPICS
KW  - controls
KW  - interface
KW  - experiment
KW  - status
DA  - 2024/02
PY  - 2024
SN  - 2226-0358
SN  - 978-3-95450-238-7
DO  - doi:10.18429/JACoW-ICALEPCS2023-THSDSC03
UR  - https://jacow.org/icalepcs2023/papers/thsdsc03.pdf
ER  -