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

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On July 22, about 80 researchers interested in both sustainable software and high energy physics gathered virtually to talk about how the high energy physics community could make its software more sustainable, wanting it to be easier to develop and maintain so that it remains available in the future on new platforms, meets new needs, and is as reusable as possible.

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Highlights the Letters of Interest submitted to the Snowmass 2021 Process

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Highlights how the IRIS-HEP fellowship program has adapted to virtual work during the pandemic

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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 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. Current fellows include:
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Alan Aneeth Jegaraj
University of Cincinnati

Jun - Aug 2020

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Aneesh Heintz
Cornell University

Jun - Sep 2020

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Bo Zheng
Rice University

Jun - Aug 2020

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Erik Wallin
Lund University

Jun - Aug 2020

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Jayjeet Chakraborty
National Institute Of Technology, Durgapur

Jun - Sep 2020

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Peter Chatain
Stanford University

Jun - Sep 2020

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Pratyush (Reik) Das
Institute of Engineering & Management (Kolkata)

Jun - Sep 2020
Jun - Sep 2019

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Sean Condon
Massachusetts Institute of Technology

Jun - Aug 2020

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Suhaib Shaikh
University of Nebraska - Lincoln

Jul - Sep 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

Jul - Sep 2020

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Vladimir Ovechkin
University of Washington, Seattle

Jun - Aug 2020

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Xiongfeng Song
Rice University

Jun - Aug 2020