489 citations · 3.2k across the 45 of their papers we have counts for
54 papers
Spatiotemporal quantum advantages for rare-event sampling
Akshat Gupta, Jianjun Chen, Chengran Yang +4
In a world fraught with uncertainty, it behooves us to consider the most disastrous possible outcomes, in order that we can best mitigate against them. Often these are extreme risk…
Green BOA: Determining the environmental break-even point for ML-based data compression
Caterina Doglioni, Thomas Elliott, Akshat Gupta +3
We summarise the outcome of two summer internship projects based at the University of Manchester, focused on the break-even point in terms of environmental sustainability for ML-ba…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
SMARTHEP: training PhD students in real-time analysis at the LHC and in industry
Johannes Albrecht, Laura Boggia, Leon Bozianu +18
In this invited Editorial for Software and Computing for Big Science, we describe the SMARTHEP Innovative Training Network funded via the Marie Skłodowska-Curie Actions between 202…
Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC
Pratik Jawahar, Caterina Doglioni, Maurizio Pierini
Low latency event-selection (trigger) algorithms are essential components of Large Hadron Collider (LHC) operation. Modern machine learning (ML) models have shown great offline per…
BOA Constrictor: A Mamba-based lossless compressor for High Energy Physics data
Akshat Gupta, Caterina Doglioni, Thomas Joseph Elliott
The petabyte-scale data generated annually by High Energy Physics (HEP) experiments like those at the Large Hadron Collider present a significant data storage challenge. Whilst tra…
Input to European Strategy Update for Particle Physics: Sustainability
Veronique Boisvert, Daniel Britzger, Samuel Calvet +14
Human activity continues to have an enormous negative impact on the ability of the planet to sustain human and other forms of life. Six out of the nine planetary boundaries have be…
Enhancing European Cooperation in the Search for Dark Matter
Bernard Andrieu, Ties Behnke, Philip Bechtle +47
The search for dark matter is an exciting topic that is pursued in different communities over a wide range of masses and using a variety of experimental approaches. The result is a…
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF
Sascha Caron, Andreas Ipp, Gert Aarts +16
Artificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across parti…
iDMEu: An initiative for Dark Matter in Europe and beyond
Marco Cirelli, Caterina Doglioni, Federica Petricca
We introduce the initiative for Dark Matter in Europe and beyond (iDMEu), a collective effort by a group of particle and astroparticle physicists to set up an online resource meta-…
Baler -- Machine Learning Based Compression of Scientific Data
Fritjof Bengtsson, Caterina Doglioni, Per Alexander Ekman +6
Storing and sharing increasingly large datasets is a challenge across scientific research and industry. In this paper, we document the development and applications of Baler - a Mac…
Second Analysis Ecosystem Workshop Report
Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…
Uncovering tau leptons-enriched semi-visible jets at the LHC
Hugues Beauchesne, Cesare Cazzaniga, Annapaola de Cosa +4
This Letter proposes a new signature for confining dark sectors at the Large Hadron Collider. Under the assumption of a QCD-like hidden sector, hadronic jets containing stable dark…
Snowmass 2021 Dark Matter Complementarity Report
Antonio Boveia, Mohamed Berkat, Thomas Y. Chen +24
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all Frontiers. In the last decade, advances in detector technology, analysis…
Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021
Tulika Bose, Antonio Boveia, Caterina Doglioni +318
This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More gen…
FAIR for AI: An interdisciplinary and international community building perspective
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson +21
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with th…
Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)
Antonio Boveia, Mohamed Berkat, Thomas Y. Chen +24
The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis…
Summarizing experimental sensitivities of collider experiments to dark matter models and comparison to other experiments
Antonio Boveia, Caterina Doglioni, Boyu Gao +19
Comparisons of the coverage of current and proposed dark matter searches can help us to understand the context in which a discovery of particle dark matter would be made. In some s…
Displaying dark matter constraints from colliders with varying simplified model parameters
Andreas Albert, Antonio Boveia, Oleg Brandt +17
The search for dark matter is one of the main science drivers of the particle and astroparticle physics communities. Determining the nature of dark matter will require a broad appr…
Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report
Guillaume Albouy, Jared Barron, Hugues Beauchesne +51
In this work, we consider the case of a strongly coupled dark/hidden sector, which extends the Standard Model (SM) by adding an additional non-Abelian gauge group. These extensions…
Current Status and Future Prospects for the Light Dark Matter eXperiment
Torsten Åkesson, Nikita Blinov, Lukas Brand-Baugher +45
The constituents of dark matter are still unknown, and the viable possibilities span a vast range of masses. The physics community has established searching for sub-GeV dark matter…
Review of opportunities for new long-lived particle triggers in Run 3 of the Large Hadron Collider
Juliette Alimena, James Beacham, Freya Blekman +75
Long-lived particles (LLPs) are highly motivated signals of physics Beyond the Standard Model (BSM) with great discovery potential and unique experimental challenges. The LLP searc…
Search for displaced leptons in TeV collisions with the ATLAS detector
ATLAS Collaboration
A search for charged leptons with large impact parameters using 139 fb of TeV collision data from the ATLAS detector at the LHC is presented, addressing…
HL-LHC Computing Review: Common Tools and Community Software
HEP Software Foundation, :, Thea Aarrestad +107
Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will b…