Collaborations and Related Projects
The IRIS-HEP project and team members are part of a larger ecosystem of projects and collaborations focused on both high energy physics research and the development of software and computing systems to support science. These include:
- The ATLAS experiment(ATLAS): A general-purpose detector at the Large Hadron Collider (LHC) and after significant upgrades, from 2026, at the High-Luminosity Large Hadron Collider (HL-LHC).
- The Compact Muon Solenoid (CMS) experiment(CMS): A general-purpose detector at the Large Hadron Collider (LHC) and after significant upgrades, from 2026, at the High-Luminosity Large Hadron Collider (HL-LHC).
- The Large Hadron Collider beauty (LHCb) experiment(LHCb): A detector focused on physics using the beauty quark.
- U.S. ATLAS Collaboration(USATLAS): This is the full collaboration of U.S. researchers participating in the ATLAS experiment at the LHC. Funding comes from a variety of single PI and group NSF and DOE grants.
- U.S. ATLAS Operations Program: This is a joint NSF/DOE project to support operations and computing facilities needed for the U.S. participation in the ATLAS experiment at CERN. – NSF PHY-1624739
- U.S. CMS Collaboration(USCMS): This is the full collaboration of U.S. researchers participating in the CMS experiment at the LHC. Funding comes from a variety of single PI and group NSF and DOE grants.
- U.S. CMS Operations Program: This is a joint NSF/DOE project to support operations and computing facilities needed for the U.S. participation in the CMS experiment at CERN. – NSF PHY-1624356
Distributed High Throughput Computing
- OSG: A national, distributed computing partnership for data-intensive research – NSF OAC-1148698, NSF OAC-205764
- Partnership to Advance Throughput Computing(PATh): A partnership between the OSG and the Center for High Throughput Computing to advance the science of distributed high throughput computing in the US. – NSF OAC-2030508
- Securing an Open and Trustworthy Ecosystem for Research Infrastructure and Applications(SOTERIA): Helping the nation’s scientists author secure and portable software environments using containers. – NSF OAC-2115148
- SciAuth: Deploying Interoperable and Usable Authorization Tokens to Enable Scientific Collaborations(SciAuth): Working to transition the distributed high throughput computing ecosystem to use token-based authorization. – NSF OAC-2114989
- Event Workflow Management Service(EWMS): Working to manage extremely large numbers of independent computational tasks - represented as ‘events’ - as part of a manaager-worker paraadigm – NSF OAC-2103963
- SCAILFIN – NSF OAC-1841471, NSF OAC-1841456, NSF OAC-1841448
- SLATE – NSF OAC-1724821
- DIANA/HEP – NSF OAC-1450377, NSF OAC-1450310, NSF OAC-1450323, NSF OAC-1450319
- Parallel Kalman Filter Tracking(TrackReco) – NSF PHY-1521042, NSF PHY-1520942, NSF PHY-1520969, NSF PHY-1624356, NSF OAC-1836650
- SSE ML@LHCb – NSF OAC-1739772, NSF OAC-1740102
- Compiler Research – NSF OAC-1931408
- Shared Data-Delivery Infrastructure to Enable Discovery with Next Generation Dark Matter and Computational Astrophysics Experiments(PONDD) – NSF OAC-2104003, NSF OAC-2103778
- A Common Track Reconstruction Project(ACTS)
- FAIR4HEP: FAIR4HEP aims to advance our understanding of the relationship between data and artificial intelligence (AI) models by exploring relationships among them through the development of FAIR (Findable, Accessible, Interoperable, and Reusable) frameworks.
- HEP Software Foundation(HSF)
- S2I2-HEP: The S2I2-HEP project prepared a strategic plan for a potential NSF Scientific Software Innovation Institute (S2I2), which evolved into what became the proposal to the NSF for IRIS-HEP. As part of that, the S2I2-HEP project worked closely with the HEP Software Foundation to prepare a larger HEP Community White Paper (CWP) describing a global roadmap for HEP Software and Computing R&D for the 2020s. – NSF OAC-1558216, NSF OAC-1558233, NSF OAC-1558219
- DASPOS: This project ran from 2012-2017 and did an “initial exploration of the key technical problems that must be solved to provide appropriate data, software and algorithmic preservation for HEP, including the contexts necessary to understand, trust and reuse the data.” As such, it contributed directly to some of the development work performed by the DIANA/HEP project and now as part of the Analysis Systems area of IRIS-HEP. – NSF PHY-1247316