| CMS Note | |
| Report number | CMS-CR-2016-171 |
| Title | Offline Data Quality Monitoring for the RPC of the CMS Detector |
| Author(s) | Fabela Enriquez, Brenda (Puebla U., Inst. Fis.) ; Pedraza Morales, Maria Isabel (Puebla U., Inst. Fis.) |
| Collaboration | CMS Collaboration |
| Publication | 2016 |
| Imprint | 27 Jul 2016 |
| Number of pages | 4 |
| In: | J. Phys.: Conf. Ser. 761 (2016) 012054 |
| In: | 30th Reunion Anual de la Division de Particulas y Campos de la SMF, Puebla, Mexico, 23 - 25 May 2016, pp.012054 |
| DOI | 10.1088/1742-6596/761/1/012054 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Abstract | Data Quality Monitoring is an important activity that guarantees the proper operation of the detectors in high energy experiments. Besides of the online environment for data quality monitoring there is an offline environment which main goal is the reconstruction and validation of the calibration results, software releases and simulated data. The offline monitoring system of the Resistive Plate Chambers at the Muon Detector of the CMS consists on the data analysis of each run in order to verify that all the subsystems are working correctly, at an efficiency greater than 95pct. This work presents the latest upgrade done to the offline monitoring software based on the restyling of the efficiency code for the 2016 data taking that is about to start. This update allows to do the general analysis in less time in a more complete way and makes the code more flexible to do specific analysis. |
| Copyright/License | Preprint: (License: CC-BY-4.0) |
Corresponding record in: Inspire
ჩანაწერი შექმნილია 2016-10-10, ბოლოს შესწორებულია 2018-06-07
