Improving Visualization of Trend Plots and Implementing Module level Plots in Tracker DQM

Abstract

The European Organization for Nuclear Research (CERN), the largest particle physics laboratory in the world, is doing a lot of work in nuclear research. It contains and supports the infrastructure which is used to perform a large number of many different experiments for physics research. Although, the instruments used at CERN are very advanced and are regularly updated and maintained. In this modern age no computation can be performed without a good Computer System. CERN the birth place for World Wide Web relies heavily on their computer system which has been programmed by experts. But, this is not the case with software systems of CERN Tracker DQM Project which was designed mostly by physicists. Their systems are static and need a lot of manual work like manually combining trend plots and writing new code for each upgrade of Tracker Detector. It can be solved by redesigning their systems for improvement. Our purpose is to improve visualization in their trend plots and make them dynamic so that after every certain period of time, when the tracker experts need to check on the performance of tracker and shift in trends, they do not have to manually recreate plots to identify the changes. HDQM is a dedicated application which will take input of selected quantities and dynamically bring data to display selected period of runs which will help Tracker experts in identification of trends. Moreover, to display and convey the CMS Strip Tracker detector information at the module granularity in the Data Quality Monitoring (DQM) GUI in an intuitive way, we made feasibility study of implementing plots with polygonal bins using ROOT analysis framework. Using TH2Poly histograms, spatial representation of each module reflects its real position and allow to identify and locate it much easier. This will help in implementing geometry-independent DQM code.