Elizabeth Sexton-Kennedy

Preparing for long-term data preservation and access in CMS

The data collected by the LHC experiments are unique and present an opportunity and a challenge for a long-term preservation and re-use. The CMS experiment has defined a policy for the data preservation and access to its data and is starting its implementation. This note describes the driving principles of the policy and summarises the actions and activities which are planned in the starting phase of the project.

arXiv : HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation

At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.

CMS partial releases: Model, tools, and applications online and framework-light releases

With the integration of all CMS software packages into one release, the CMS software release management team faced the problem that for some applications a big distribution size and a large number of unused packages have become a real issue. TWe describe a solution to this problem. Based on functionality requirements and dependency analysis, we define a self-contained subset of the full CMS software release and create a Partial Release for such applications. We describe a high level architecture for this model, and tools that are used to automate the release preparation. Finally we discuss the two most important use cases for which this approach is currently implemented.