scholarly journals Readable and efficient HEP data analysis with bamboo

2021 ◽  
Vol 251 ◽  
pp. 03052
Author(s):  
Pieter David

With the LHC continuing to collect more data and experimental analyses becoming increasingly complex, tools to efficiently develop and execute these analyses are essential. The bamboo framework defines a domain-specific language, embedded in python, that allows to concisely express the analysis logic in a functional style. The implementation based on ROOT’s RDataFrame and cling C++ JIT compiler approaches the performance of dedicated native code. Bamboo is currently being used for several CMS Run 2 analyses that rely on the NanoAOD data format, which will become more common in Run 3 and beyond, and for which many reusable components are included, but it provides many possibilities for customisation, which allow for straightforward adaptation to other formats and workflows.

Author(s):  
Jessica Ray ◽  
Ajav Brahmakshatriya ◽  
Richard Wang ◽  
Shoaib Kamil ◽  
Albert Reuther ◽  
...  

Author(s):  
Paulo Perez ◽  
Philippe Roose ◽  
Yudith Cardinale ◽  
Marc Dalmau ◽  
Dominique Masson ◽  
...  

2021 ◽  
Vol 205 ◽  
pp. 102610
Author(s):  
Davide Ancona ◽  
Luca Franceschini ◽  
Angelo Ferrando ◽  
Viviana Mascardi

2021 ◽  
pp. 102642
Author(s):  
Xiomarah Guzmán-Guzmán ◽  
Edward Rolando Núñez-Valdez ◽  
Raysa Vásquez-Reynoso ◽  
Angel Asencio ◽  
Vicente García-Díaz

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