Speaker
Description
As the HL-LHC era approaches, the scale and complexity of data present challenges for analysis workflows within ATLAS and other HL-LHC experiments. This contribution reports on recent developments in ServiceX, a cross experiment utility, and its role as a data delivery and transformation service within the analysis ecosystem. Designed to bridge the gap between centrally produced datasets and user-level analysis code, ServiceX now supports a broader range of input formats—including custom non-ROOT ATLAS data—and has seen significant improvements in reliability, scalability, and ease of use.
We highlight progress in several areas: improved bullet-proofing of the data transformation infrastructure to avoid errors at scale; new convenience utilities for introspecting datasets (e.g., listing available branches); and tighter integration with common ATLAS frameworks such as TopCPTools, enabling more standardized analysis environments. We also share results from recent scaling tests demonstrating performance at analysis-scale workloads, and discuss how ServiceX fits into the broader analysis software stack, helping to address long-standing challenges of reproducibility, data access, and user efficiency.
This talk will provide a view of the design of ServiceX, the technical and usability gains made in recent months, and what’s coming next as we prepare for the HL-LHC's analysis demands.
| Requested talk length | 30 |
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