The CMS Data Analysis School is an official event organized by the CMS Collaboration to teach students and post-docs how to perform a physics analysis. The school is coordinated by the CMS schools committee and was first implemented at the LHC Physics Center at Fermilab in 2010. As part of the training, there are a number of "short" exercises on physics object reconstruction and identification, Monte Carlo simulation, and statistical analysis, which are followed by "long" exercises based on physics analyses. Some of the long exercises go beyond the current state of the art of the corresponding CMS analyses. This paper describes the goals of the school, the preparations for a school, the structure of the training, and student satisfaction with the experience as measured by surveys.
The CMS data analysis school experience / De Filippis, N.; Bauerdick, L.; Chen, J.; Gallo, E.; Klima, B.; Malik, S.; Mulders, M.; Palla, F.; Rolandi, G.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 898:10(2017), p. 102015.102015. (Intervento presentato al convegno 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 tenutosi a San Francisco Marriott Marquis Hotel, usa nel 2016) [10.1088/1742-6596/898/10/102015].
The CMS data analysis school experience
De Filippis N.;
2017-01-01
Abstract
The CMS Data Analysis School is an official event organized by the CMS Collaboration to teach students and post-docs how to perform a physics analysis. The school is coordinated by the CMS schools committee and was first implemented at the LHC Physics Center at Fermilab in 2010. As part of the training, there are a number of "short" exercises on physics object reconstruction and identification, Monte Carlo simulation, and statistical analysis, which are followed by "long" exercises based on physics analyses. Some of the long exercises go beyond the current state of the art of the corresponding CMS analyses. This paper describes the goals of the school, the preparations for a school, the structure of the training, and student satisfaction with the experience as measured by surveys.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
