News, Featured Stories and Links
12 September 2023
“Ukrainia students escape the war and pursue research at the Large Hadron Collider (LHC), under supervision from Princeton University faculty.”
07 September 2023
For the fifth year, a group of high energy physicists ranging from undergraduates to post-doctoral researchers traveled to the Princeton University campus this summer to participate in the Computational and Data Science for High Energy Physics, or CoDaS-HEP.
26 June 2023
Some recent IRIS-HEP fellows on what they learned during their time with the software collaboration, what they’re up to now, and why they’d recommend the IRIS-HEP fellowship to other up and coming researchers in the field.
IRIS-HEP: Training a new generation of computational and data science researchers in high energy physics
13 April 2023
Overview of IRIS-HEP efforts to train future generations of physicists to have proficiency in software.
23 March 2023
At the IRIS-HEP collaboration, an array of researchers are working together on the ACTS project to bring fast and efficient software to experiments of all sizes, including those which may not have had access to advanced software otherwise.
27 January 2023
At the IRIS-HEP collaboration, the current and next generation of women in software development are working together toward the future of high energy particle physics.
31 May 2022
The Connecting the Dots workshop brings track reconstruction experts together with other machine-learning specialists.
IRIS-HEP executive board member Kyle Cranmer to lead University of Wisconsin–Madison's data science institute
02 May 2022
Cranmer aims to foster collaboration between scientific disciplines while addressing machine learning’s impacts on society’s most vulnerable members.
11 February 2022
Irina Espejo, a New York University PhD candidate in data science and IRIS-HEP member, continually seeks to answer science’s most fundamental questions.
08 February 2022
The particle physicist and IRIS-HEP executive board member describes the center’s mission as “translating innovation into practice”
04 January 2022
Highlights the work of Mason Proffitt, a PhD student in the University of Washington’s physics department and a member of IRIS-HEP.
15 September 2021
Highlights the work of Henry Schreiner, a computational physicist and research software engineer with IRIS-HEP.
20 July 2021
Fast electronics and artificial intelligence are helping physicists capture data and decide what to keep and what to throw away.
12 May 2021
Software is now fundamental to scientific research. Until recently, the people who build it have lacked recognition.
10 April 2021
As the high-energy physics community prepares for the High-Luminosity LHC, new data science challenges await.
30 November 2020
Training for IRIS-HEP has been online over this last year, providing challenges, but opening up new opportunities and benefits not previously possible.
14 October 2020
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.
12 October 2020
Highlights the Letters of Interest submitted to the Snowmass 2021 Process.
17 September 2020
Highlights how the IRIS-HEP fellowship program has adapted to virtual work during the pandemic.
07 May 2020
Highlights the work of research software engineer Bei Wang on making faster software for particle tracking.
27 February 2020
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.
17 February 2020
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.
17 January 2020
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.
11 September 2019
From September 10-11 at Fermi National Accelerator Laboratory (Fermilab), over 200 scientists gathered for a workshop to explore ultrafast deep learning algorithms and inference technologies, as well as the strategies driving cutting-edge ML for high energy physics.
23 August 2019
The first USATLAS Bootcamp was a huge success. 31 students and more than 8 instructors met at the Lawrence Berkeley National Laboratory to cover four topics from both a general and experiment specific viewpoint.
26 July 2019For 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.
26 April 2019The 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
04 September 2018The 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.
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