BNL, Upton, New York, USA
Accelerator control systems generates and stores many time-series data related to the performance of an accelerator and its support systems. Many of these time series data have detectable change trends and patterns. Being able to timely detect and recognize these data change trends and patterns, analyse and predict the future data changes can provide intelligent ways to improve the controls system with proactive feedback/forward actions. With the help of advanced data mining and machine learning technology, these types of analyses become easier to produce. As machine learning technology matures with the inclusion of powerful model algorithms, data processing tools, and visualization libraries in different programming languages (e.g. Python, R, Java, etc), it becomes relatively easy for developers to learn and apply machine learning technology to online accelerator control system data. This paper explores time series data analysis and forecasting in the Relativistic Heavy Ion Collider (RHIC) control systems with the Waikato Environment for Knowledge Analysis (WEKA) system and its Java data mining APIs.
BNL, Upton, New York, USA
This paper reports on development of a general purpose image analysis application, tailored for beam profile monitor cameras of RHIC Collider-Accelerator complex. ImageViewer is pure Python application, based on PyQtGraph and SciPy packages. It accepts image stream from a RHIC image manager (optionally from an EPICS areaDetector driver, or from the file system). The standard analysis includes recognition of connected objects; for each object the parameters of a fitted ellipsoid (position, axes and tilt angle) are calculated using 2nd-order image moments, the parameters then corrected using gaussian fit of the object and a surrounding background. Other features supported: saving, image rotation, region of interest, projections, subtraction of a reference image, multi-frame averaging, pixel to millimeter calibration. Playback feature allows for fast browsing and cleanup of the saved images. User add-ons can be added dynamically as included modules. Each camera of the RHIC complex is equipped with a server (grahic-less) version of this application, providing the same analysis and publishing calculated parameters to RHIC Controls Architecture.
