Institute for Research and Innovation in Software

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:

CoDaS-HEP 2019 at Princeton University

For the third consecutive summer, high energy physics graduate students, postdocs and instructors from across the United States, as well as from India, Italy and Switzerland, gathered at Princeton University to attend the school on Tools, Techniques and Methods for Computational and Data Science for High Energy Physics or CoDaS-HEP, held this year from July 22 to 26.

ML Hackathon at the University of Puerto Rico at Mayaguez

The very first Machine Learning Hackathon at the Physics Department of the University of Puerto Rico at Mayaguez took place on 24-26 April, 2019, organized by IRIS-HEP Training, Education and Outreach coordinator (and UPRM physics professor) Sudhir Malik.

NSF funds IRIS-HEP project to address the massive data demands from the upgraded Large Hadron Collider

The National Science Foundation (NSF) has launched the Institute for Research and Innovation in Software for High-Energy Physics (IRIS-HEP), a $25 million effort to tackle the unprecedented torrent of data that will come from the High-Luminosity Large Hadron Collider (HL-LHC), the world’s most powerful particle accelerator.

View all past news items

Upcoming Events:

IRIS-HEP team members are involved in organizing the following events:

19 Aug - 23 Aug, 2019 - ATLAS Software Carpentries Training (LBNL)
10 Sep - 11 Sep, 2019 - Blueprint: Accelerated Machine Learning and Inference (Fermilab)
16 Oct - 18 Oct, 2019 - PyHEP 2019 Workshop (The Cosener's House, Abingdon, UK)
23 Oct - 25 Oct, 2019 - Blueprint: A Coordinated Ecosystem for HL-LHC Computing R&D (Catholic University of America, Washington DC)
13 Dec - 14 Dec, 2019 - Machine Learning and the Physical Sciences at NeurIPS 2019 (Vancouver Convention Centre)
15 Jan - 17 Jan, 2020 - ML4Jets2020 (in planning) (New York University)

Recent Events:

29 Jul, 2019 - IRIS-HEP Tutorial: Fast columnar data analysis with data science tools (Northeastern University / APS DPF 2019)
22 Jul - 26 Jul, 2019 - CoDaS-HEP 2019 (Princeton University)
1 Jul - 2 Jul, 2019 - TrackML Challenge: Grand Finale (CERN)
21 Jun - 22 Jun, 2019 - Blueprint: Analysis Systems R&D on Scalable Platforms (NYU)
19 Jun - 20 Jun, 2019 - Analysis Systems Topical Workshop (NYU)
10 Jun, 2019 - FIRST-HEP/ATLAS Software Training (Argonne National Lab)
3 Jun - 4 Jun, 2019 - An introduction to programming for STEM teachers (University of Puerto Rico at Mayaguez)

View all past events

Upcoming Topical Meetings:

16 Sep, 2019 - Summer student project presentations
25 Sep, 2019 - ML4Jets benchmarks

View all past meetings • Indico (recordings) • Vidyo room

IRIS-HEP fellows program:

IRIS-HEP Fellows spend several months working closely with a mentor on a HEP software R&D topic relevant to the Institute. Find out more about opportunities with the IRIS-HEP fellows program. Current fellows include:

Raghav Kansal
University of California, San Diego

Jun-Aug 2019

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

Jun-Sep 2019