Computational and data science research to enable discoveries in fundamental physics

IRIS-HEP is a software institute funded by the National Science Foundation. It aims to develop the state-of-the-art software cyberinfrastructure required for the challenges of data intensive scientific research at the High Luminosity Large Hadron Collider (HL-LHC) at CERN, and other planned HEP experiments of the 2020’s. These facilities are discovery machines which aim to understand the fundamental building blocks of nature and their interactions. Full Overview

News and Featured Stories:

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Highlights the work of research software engineer Bei Wang on making faster software for particle tracking.

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IRIS-HEP held a Poster Session at Princeton University on February 27, 2020, to highlight the work of members from the first 18 months of IRIS-HEP.

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The first Analysis Preservation Bootcamp was held at CERN from February 17-19, 2020. Thirty graduate students and postdocs learned these new technologies aimed at ensuring reproducibility, streamlining onboarding, and extending the impact of LHC analyses through reuse.

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NYU Hosted the third in a series of workshops focusing on Machine Learning for Jet Physics from January 15-17, 2020. The event drew more than 100 participants including experimental physicists, theoretical physicists, computer scientists, and applied mathematicians. IRIS-HEP members Kyle Cranmer and Sebastian Macaluso were the local organizers.

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IRIS-HEP Fellows

The IRIS-HEP Fellows program provides funding support for selected individuals to spend several months working closely with a mentor on an HEP software R&D topic relevant to the Institute. Find out more about opportunities with the IRIS-HEP Fellows program. Recent fellows include:
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Alan Aneeth Jegaraj
University of Cincinnati

June - August 2020
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Aneesh Heintz
Cornell University

June - September 2020
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Bo Zheng
Rice University

May - August 2020
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David Liu
University of Washington

May - August 2020
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Erik Wallin
Lund University

June - August 2020
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Jayjeet Chakraborty
National Institute Of Technology, Durgapur

Jun-Sep 2020
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Manjari Trivedi
University of Michigan, Ann Arbor

May-August 2020
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Peter Chatain
Stanford University,

Jun-Sep 2020
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Raghav Kansal
University of California, San Diego

Jun-Aug 2019
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Ralf Farkas
Universität Bonn (Germany)

Jan-Mar 2020
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Pratyush (Reik) Das
Institute of Engineering & Management (Kolkata)

Jun-Sep 2019
Jun-Aug 2020
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Sean Condon
Massachusetts Institute of Technology

June - August 2020
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Suhaib Shaikh
University of Nebraska - Lincoln

Jul-Sep 2020
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Thomas Shearer
Univeristy of Michigan - Ann Arbor

May - August 2020
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Tomohiro Yamazaki
University of California, Berkeley

Jul-Sep 2020
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Vesal Razavimaleki
University of California, San Diego

July - September 2020
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Vladimir Ovechkin
University of Washington, Seattle

June-August 2020
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Xiongfeng Song
Rice University

June - August 2020

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