| Time of flight detector (TOF) is one of the most important detectors in Beijing spectrometer (BES HI), its main function is to measure the time flight of the charged particles combining momentum and track information provided by the main drift chamber (MDC) so as to identify the types of particles. Data quality has a vital position in BESIII physical analysis and Offline data quality monitoring is an indispensable part in data acquisition and data processing. Time of flight detector offline data quality monitoring is an important part of the BESIII offline data quality monitoring, which is a software system based on the BESIII offline data processing and analysis software platform (BOSS). It obtains a series of physical distribution through the raw data of TOF reconstruction results and monitoring, together with intuitive graphical output to implement detector performance and offline monitoring data processing, and to find problems and solve the problem timely so as to improve data quality. BEPC Ⅱ is characteristics of high brightness which leads to get large volume data which make the monitoring software should meet the needs of processing huge batch data quickly This paper mainly introduces the use of monitoring software on examples of time of flight detector, reconstruction of the original data and calibration constant monitoring obtained in Run39301 to Run43253 from December 29,2014 to June 18,2015, which provided the results of the inspection process〠problem to access data〠the cause of the problem and the solution to some of the problems. With simple operation mode, complete monitoring content and better expansion, the monitoring software has been ready for offline data quality monitoring in the TOF data fetching.Apart from that, this paper also includes TOF simulation actualized in terms of content, obtains the detector parameters from real data and applies in the TOF simulation. In additional, the reconstruction efficiency is basically coincides with time resolution in simulation samples and real data. |