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+---
+name: Creating a Fast Analysis Format for/from EDM4hep Data
+postdate: 2026-06-30
+categories:
+  - Analysis tools
+durations:
+  - 8 weeks
+experiments:
+  - Future Colliders
+skillset:
+  - Python
+  - C++
+status:
+  - In progress
+project:
+  - IRIS-HEP
+location:
+  - In person
+commitment:
+  - Full time
+program:
+  - IRIS-HEP fellow
+
+shortdescription: A fast analysis format for/from edm4hep data will be created
+
+description: >
+  The Future Circular Collider (FCC) is a proposed large-scale project at CERN that aims
+  to conduct detailed studies of the Higgs boson and its interactions, search for new particles,
+  new forces and possible dark matter candidates. With substantial gains in precision and
+  sensitivity, it would enable measurements beyond the reach of current colliders, including
+  the Large Hadron Collider (LHC) and its high-luminosity upgrade.
+  The FCC community, including studies of the FCC-ee design, uses EDM4hep and associated
+  software to describe the data model for ongoing simulation studies. EDM4hep defines a
+  series of C++ classes representing detector and physics objects corresponding to each
+  aspect of the simulation and event reconstruction pipeline. While important for detailed
+  studies, these data structures are inefficient for data analysis users who instead would
+  benefit from having fast to analyze columnar data. As FCC-ee aims to collect more than a
+  trillion Z-boson decays, speed of analysis codes is particularly important.
+  The scale of the FCC-ee physics program presents a significant computing challenge. Given
+  the projected collection of more than 10^12 Z-boson decays, analysis workflows must process
+  very large numbers of events efficiently. Compact columnar formats could help improve
+  analysis performance and reduce the time required to obtain physics results.
+
+contacts:
+  - name: David Lange
+    email: david.lange@cern.ch
+
+mentees:
+  - name: Deimantė Juknevičiūtė
+    link: https://iris-hep.org/fellows/deimantejukneviciute.html