CERN Accelerating science

ATLAS Slides
Report number	ATL-SOFT-SLIDE-2023-163
Title	Iterative development of the ATLAS Publication Tracking System
Author(s)	Loureiro Cruz, Ana Clara (Federal University of Rio de Janeiro (BR)) ; Niklaus Moreira Da Rocha Rodrigues, Carolina (Federal University of Rio de Janeiro (BR)) ; Aleksandravicius, Gabriel (Federal University of Rio de Janeiro (BR)) ; Lemos Lucidi Pinhao, Gabriela (LIP - Laboratorio de Instrumentação e Física Experimental de Partículas (PT)) ; Goes Afonso, Pedro Henrique (Federal University of Rio de Janeiro (BR)) ; Coura Torres, Rodrigo (Federal University of Rio de Janeiro (BR))
Corporate author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Submitted to	26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
Submitted by	[email protected] on 05 May 2023
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	Software ; Web Systems
Abstract	The ATLAS experiment involves almost 6000 members from approximately 300 institutes spread all over the globe and more than 100 papers published every year. This dynamic environment brings some challenges such as how to ensure publication deadlines, communication between the groups involved, and the continuity of workflows. The solution found for those challenges was automation, which was achieved through the Glance project, more specifically through the Glance Analysis systems, developed to support the analysis and publications life cycle in 2010. Now, after twelve years, in order to satisfy the experiments’ most recent needs, the systems need code refactoring and database remodeling. The goal is to have only one system to accommodate all the analysis and publications workflows, the so-called ATLAS Publication Tracking system, an evolution of the current Analysis systems. This project includes a database remodeling that reflects the hierarchical relation between analyses and publications; a code base that supports non-linear workflows; the expansion of the current API so all the authorized ATLAS members can access ATLAS publication data programmatically; a service-oriented architecture for integration with external software, such as GitLab; the creation of an automatic test environment, which assures the quality of the systems on each update. The ATLAS Publication Tracking system is a long-term project being developed with an iterative and incremental approach, which ensures that the most valuable tools are implemented with priority while allowing a smooth transition between the old systems and the new one.