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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The Connecting the Dots workshop brings track reconstruction experts together with other machine-learning specialists.
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Cranmer aims to foster collaboration between scientific disciplines while addressing machine learning’s impacts on society’s most vulnerable members.
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Irina Espejo, a New York University PhD candidate in data science and IRIS-HEP member, continually seeks to answer science’s most fundamental questions.
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The particle physicist and IRIS-HEP executive board member describes the center’s mission as “translating innovation into practice”
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