Conveners
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Tailored Collaboration and Training Initiatives
- Michel Hernandez Villanueva (DESY)
- Clemens Lange (Paul Scherrer Institut)
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Open Science Project Reports
- Clemens Lange (Paul Scherrer Institut)
- Michel Hernandez Villanueva (DESY)
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Collaborative Infrastructure
- Michel Hernandez Villanueva (DESY)
- Elena Gazzarrini (CERN)
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Open Data and Open Science
- Clemens Lange (Paul Scherrer Institut)
- Elena Gazzarrini (CERN)
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Public Science Training
- Michel Hernandez Villanueva (DESY)
- Markus Diefenthaler (Jefferson Lab)
Track 8 - Collaboration, Reinterpretation, Outreach and Education: Outreach and Public Engagement
- Markus Diefenthaler (Jefferson Lab)
- Elena Gazzarrini (CERN)
Since 1984 the Italian groups of the Istituto Nazionale di Fisica Nucleare (INFN) and Italian Universities, collaborating with the
DOE laboratory of Fermilab (US) have been running a two-month summer training program for Italian university students. While
in the first year the program involved only four physics students of the University of Pisa, in the following years it was extended
to...
Providing computing training to the next generation of physicists is the
principal driver for a biannual multi-day workshop hosted by the DUNE
Computing Consortium. Materials are cast in the Software Carpentries
templates, and to date topics have included storage space, data
management, LArSoft, grid job submission and monitoring. Moreover,
experts provide extended breakout sessions to...
The common form of inter-institute particle physics experiment collaborations generates unique needs for member management including paper authorship, shift assignments, subscription to mailing lists and access to 3rd party applications such as Github and Slack. For smaller collaborations, typically no facility for centralized member management is available and these needs are usually manually...
We will discuss the training and on-boarding initiatives currently adopted by a range of High Energy Physics (HEP) experiments. On-boarding refers to the process by which new members of a collaboration gain the knowledge and skills needed to become effective members. Fast and efficient on-boarding is increasingly important for HEP experiments as physics analyses and, as a consequence, the...
Building successful multi-national collaborations is challenging. The scientific communities in a range of physical sciences have been learning how to build collaborations that build upon regional capabilities and interests over decades, iteratively with each new generation of large scientific facilities required to advance their scientific knowledge. Much of this effort has naturally focused...
The Italian WLCG Tier-1 located in Bologna and managed by INFN-CNAF has a long tradition in supporting several research communities in the fields of High-Energy Physics, Astroparticle Physics, Gravitational Waves, Nuclear Physics and others, to which provides computing resources in the form of batch computing, both HPC, HTC and Cloud, and storage. Although the LHC experiments at CERN represent...
Machine learning (ML) has become an integral component of high energy physics data analyses and is likely to continue to grow in prevalence. Physicists are incorporating ML into many aspects of analysis, from using boosted decision trees to classify particle jets to using unsupervised learning to search for physics beyond the Standard Model. Since ML methods have become so widespread in...
The ML_INFN initiative (“Machine Learning at INFN”) is an effort to foster Machine Learning activities at the Italian National Institute for Nuclear Physics (INFN).
In recent years, AI inspired activities have flourished bottom-up in many efforts in Physics, both at the experimental and theoretical level.
Many researchers have procured desktop-level devices, with consumer oriented GPUs,...
Over the last few years, Cloud Sync&Share platforms have become go-to services for collaboration in scientific, academic and research environments, providing users with coherent and simple ways to access their data assets. Collaboration within those platforms, between local users on local applications, has been demonstrated in various settings, with visible improvements in the research...
Zenodo has over the past 10 years grown from a proof of concept to being the world's largest general-purpose research repository, cementing CERN’s image as a pioneer and leader in Open Science. We will review key challenges faced over the past 10 years and how we overcame them, from getting off the ground, over building trust to securing funding.
Growing Zenodo was an enriching and...
The "A Large Ion Collider Experiment" (ALICE), one of the four large experiments at the European Organization for Nuclear Research (CERN), is responsible for studying the physics of strongly interacting matter and the quark-gluon plasma.
In order to ensure the full success of ALICE operation and data taking during the Large Hadron Collider Runs 3 and 4, a list of tasks identified as Service...
In November 2022, the HEP Software Foundation (HSF) and the Institute for Research and Innovation for Software in High-Energy Physics (IRIS-HEP) organized a workshop on the topic of “Software Citation and Recognition in HEP”. The goal of the workshop was to bring together different types of stakeholders whose roles relate to software citation and the associated credit it provides, in order to...
Synergies between MAchine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision making (SMARTHEP) is a European Training Network with the aim of training a new generation of Early Stage Researchers to advance real-time decision-making, effectively leading to data-collection and analysis becoming synonymous.
SMARTHEP...
In this contribution we describe the 2022 reboot of the ScienceBox project, the containerised SWAN/CERNBox/EOS demonstrator package for CERN storage and analysis services. We evolved the original implementation to make use of Helm charts across the entire dependency stack. Charts have become the de-facto standard for application distribution and deployment in managed clusters (e.g.,...
In the frame of the German NFDI (National Research Data Infrastructure), by now 27 consortia across all domains of science have been setup in order to enhance the FAIR usage and re-usage of scientific data. The consortium PUNCH4NFDI, composed of the German particle, astroparticle, hadron&nuclear, and astrophysics communities, has been approved for initially 5 years of significant...
Planned EOSC-CZ projects will significantly improve data management in many scientific fields in the Czech Republic. Several calls for projects are under preparation according to the implementation architecture document created in 2021. Emerging National data infrastructure will build basic infrastructure with significant storage capacity for long term archive of scientific data and their...
High Energy Physics experiments at the Large Hadron Collider generate petabytes of data that go though multiple transformation before final analysis and paper publication. Recording the provenance of these data is therefore crucial to maintain the quality of the final results. While the tools are in place within LHCb to keep this information for the common experiment-wide transforms, analysts...
The increasingly pervasive and dominant role of machine learning (ML) and deep learning (DL) techniques in High Energy Physics is posing challenging requirements to effective computing infrastructures on which AI workflows are executed, as well as demanding requests in terms of training and upskilling new users and/or future developers of such technologies.
In particular, a growth in the...
Among liquid argon time projection chamber (LArTPC) experiments MicroBooNE is the one that continually took physics data for the longest time (2015-2021), and represents the state of the art for reconstruction and analysis with this detector. Recently published analyses include oscillation physics results, searches for anomalies and other BSM signatures, and cross section measurements. LArTPC...
The ATLAS Open Data project aims to deliver open-access resources for education and outreach in High Energy Physics using real data recorded by the ATLAS detector. The Open Data release so far has resulted in the release of a substantial amount of data from 8 TeV and 13 TeV collisions in an easily-accessible format and supported by dedicated software and documentation to allow its fruitful use...
The BaBar experiment collected electron-positron collisions at the SLAC National Accelerator Laboratory from 1999-2008. Although data taking has stopped 15 years ago, the collaboration is still actively doing data analyses, publishing results, and giving presentations at international conferences. Special considerations were needed to do analyses using a computing environment that was...
In this paper we discuss the CMS open data publishing workflows, summarising experience with eight releases of CMS open data on the CERN Open Data portal since its initial launch in 2014. We present the recent enhancements of data curation procedures, including (i) mining information about collision and simulated datasets with accompanying generation parameters and processing configuration...
Making the large datasets collected at the LHC accessible to the public is a considerable challenge given the complexity and volume of data. Yet to harness the full scientific potential of the facility, it is essential to enable meaningful access to the data by the broadest physics community possible. Here we present an application, the LHCb Ntuple Wizard, which leverages the existing...
Research in high energy physics (HEP) heavily relies on domain-specific digital contents. We reflect on the interpretation of principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) in preservation and distribution of such digital objects. As a case study, we demonstrate the implementation of an end-to-end support infrastructure for preserving and accessing Universal...
Large research infrastructures, such as DESY and CERN, in the field of the exploration of the universe and matter (ErUM) are significantly driving the digital transformation of the future. The German action plan "ErUM-Data" promotes this transformation through the interdisciplinary networking and financial support of 20.000 scientists.
The ErUM-Data-Hub (https://erumdatahub.de) serves as a...
XAS (synchrotron X-ray absorption spectroscopy) uses X-ray photon energy as a variable to measure the structure of X-ray absorption coefficient that changes with energy. In spectral experiments, the determination of the composition and structure of unknown samples requires data collection first, and then data processing and analysis. It takes a lot of time and there can be no errors in the...
The organization of seminars and conferences was strongly influenced by the covid-19 pandemic.
In the early period of the pandemic, many events were canceled or held completely online, using video conferencing tools such as ZOOM or MS Teams. Later, thanks to large-scale vaccination and immunization, it was possible to organize again large events in the presence. Nevertheless, given some local...
Recently, a workshop on Artificial Intelligence for the Electron Ion Collider (AI4EIC) has been held at the College of William&Mary. The workshop covered all active and potential areas of applications of AI/ML for the EIC; it also had a strong outreach and educational component, with different tutorials given by experts in AI and machine learning from national labs, universities, and industry...
To meet the computing challenges of upcoming experiments, software training efforts play an essential role in imparting best practices and popularizing new technologies. Because many of the taught skills are experiment-independent, the HSF/IRIS-HEP training group coordinates between different training initiatives while building a training center that provides students with various training...
Deep underground, the removal of rock to fashion three soccer field
sized caverns is underway, as are detector prototypings. In 2024, the
first DUNE far detector will be constructed as a large cryostat,
instrumented as a traditional tracking calorimeter but in a cold bath of
zenon doped liquidized argon. An Epic Game UnReal Engine rendered 3D
simulation of the underground laboratory has...
Communicating the science and achievements of the ATLAS Experiment is a core objective of the ATLAS Collaboration. This talk will explore the range of communication strategies adopted in ATLAS communications, with particular focus on how these have been impacted by the COVID-19 pandemic. In particular, an overview of ATLAS’ digital communication platforms will be given – with focus on social...
The International Particle Physics Outreach Group (IPPOG) is a network of scientists, science educators and communication specialists working across the globe in informal science education and public engagement for particle physics. The primary methodology adopted by IPPOG includes the direct participation of scientists active in current research with education and communication specialists,...
Sudhir Malik, Peter Elmer, Adam LaMee, Ken Cecire
The NSF-funded IRIS-HEP "Training, Education & Outreach" program and QuarkNet are partnering to enable and expand software training for the high school teachers with a goal to tap, grow and diversify the talent pipeline from K-12 students for future cyberinfrastructure. IRIS-HEP (https://iris-hep.org/) is a software institute that aims to...
UKRI/STFC’s Scientific Computing Department (SCD) runs a vibrant range of computing related public engagement activities. We benefit form the work done by the National Labs public engagement team to develop a well articulated PE strategy, and an accompanying evaluation framework, including the idea of defining formal generic learning outcomes (GLOs).
This paper presents how this combination...
The Virtual Visit service run by the ATLAS Collaboration has been active since 2010. The ATLAS Collaboration has used this popular and effective method to bring the excitement of scientific exploration and discovery into classrooms and other public places around the world. The programme, which uses a combination of video conferencing, webcasts, and video recording to communicate with remote...
