iris-hep-overview-poster.tex

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\textbf{
Institute for Research and Innovation in Software \\ 
~~for High Energy Physics (IRIS-HEP)
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\textbf{
PIs: Peter Elmer (Princeton Univ.), Gordon Watts (Univ. of Washington)\\ 
, Brian Bockelman (Morgridge Institute)
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\begin{block}{Science Driver: Discoveries beyond the Standard Model of Particle Physics}

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{\it From ``Building for Discovery - Strategic Plan for U.S. Particle Physics in the Global \\
Context'' - Report of the Particle Physics Project Prioritization Panel (P5):}

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\item Use the Higgs boson as a new tool for discovery
\item Pursue the physics associated with neutrino mass
\item Identify the new physics of dark matter
\item Understand cosmic acceleration: dark matter and inflation
\item Explore the unknown: new particles, interactions, and physical principles
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\begin{block}{The IRIS-HEP Software Institute}
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IRIS-HEP 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.
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\begin{block}{An Intellectual Hub for the HEP Community}
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18 U.S. universities provide a hub for larger national and international software collaborations.
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\begin{block}{A Python Data Science Ecosystem}
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We develop sustainable analysis tools to extend the physics reach of the HL-LHC experiments by creating greater functionality, reducing time to insight, lowering the barriers for smaller teams, and streamlining analysis preservation, reproducibility, and reuse.
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\begin{block}{Innovative Algorithms}
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High performant software algorithms to perform the real-time processing in the trigger and the reconstruction of both real and simulated detector data are critical components of HEP’s computing challenge, for example for charged particle tracking. 
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\begin{block}{Data Organization, Management, Access (DOMA)}
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Our DOMA program of work centers on the management and delivery of exabyte-scale production datasets and delivery of data to analysis facilities. Biennial data challenges are used to show readiness of technologies and scale.
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\begin{block}{Scalable Systems Laboratory (SSL)}
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The SSL provides HEP software developers with a means to transition their R\&D from conceptual toys to testbeds to production-scale prototypes as well as performs foundational systems R\&D.
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\begin{block}{Distributed High Throughput Computing}
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OSG-LHC contributes to the larger mission of the OSG Consortium by evolving the production infrastructure that the LHC collaborations depend on in the USA for the HL-LHC science program. 
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\begin{block}{Education, Training and Outreach}
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The long term sustainability of our software efforts and science depends on a pipeline of software enabled scientists and engineers. We have implemented a scalable community basic software training program in collaboration with the HEP Software Foundation and FIRST-HEP (OAC-1829707, OAC-1829729). A large summer student program has trained more than 100 students and the annual Computational and Data Science for HEP (CoDaS-HEP) summer school provides more advanced training. A separate outreach program in partnership with QuarkNet aims to developing coding skills in high school teachers and students.
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This project is supported by National Science Foundation under Cooperative Agreements OAC-1836650 and PHY-2323298. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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\Large
\url{https://iris-hep.org}
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