Applications and techniques for fast machine learning in science AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ... Frontiers in big Data 5, 787421, 2022 | 48 | 2022 |
High intensity operation using proton stacking in the Fermilab Recycler to deliver 700 kW of 120 GeV proton beam R Ainsworth, P Adamson, BC Brown, D Capista, K Hazelwood, ... Physical Review Accelerators and Beams 23 (12), 121002, 2020 | 10 | 2020 |
Accelerator real-time edge ai for distributed systems (reads) proposal K Seiya, KJ Hazelwood, MA Ibrahim, VP Nagaslaev, DJ Nicklaus, ... arXiv preprint arXiv:2103.03928, 2021 | 9 | 2021 |
Real-time Edge AI For Distributed Systems (READS): Progress On Beam Loss De-blending for the Fermilab Main Injector and Recycler KJ Hazelwood, MR Austin, MA Ibrahim, VP Nagaslaev, DJ Nicklaus, ... Conference IPAC’21, Campinas, Brazil, paper MOPAB288, this conference, 2021 | 9 | 2021 |
Optimizing Mu2e Spill Regulation System Algorithms A Narayanan, KJ Hazelwood, MA Ibrahim, H Liu, S Memik, VP Nagaslaev, ... 12th Int. Particle Accelerator Conf.(IPAC’21), Campinas, Brazil, 2021 | 8 | 2021 |
High intensity proton stacking at fermilab: 700 kw running R Ainsworth, P Adamson, B Brown, D Capista, K Hazelwood, I Kourbanis, ... Fermi National Accelerator Lab.(FNAL), Batavia, IL (United States), 2018 | 8 | 2018 |
Synchronous high-frequency distributed readout for edge processing at the fermilab main injector and recycler JR Berlioz, MR Austin, JM Arnold, KJ Hazelwood, P Hanlet, MA Ibrahim, ... arXiv preprint arXiv:2208.14873, 2022 | 6 | 2022 |
Semantic regression for disentangling beam losses in the fermilab main injector and recycler M Thieme, J Arnold, M Austin, P Hanlet, K Hazelwood, M Ibrahim, H Liu, ... JACoW, 2022 | 5 | 2022 |
Fermilab recycler collimation system design BC Brown, P Adamson, R Ainsworth, D Capista, K Hazelwood, ... Fermi National Accelerator Lab.(FNAL), Batavia, IL (United States), 2016 | 5 | 2016 |
Proceedings, 7th International Particle Accelerator Conference (IPAC 2016): Busan, Korea, May 8-13, 2016 R Ainsworth, P Adamson, K Hazelwood, I Kourbanis, E Stern JACoW, 2016 | 5 | 2016 |
Simulations and measurements of stopbands in the Fermilab recycler R Ainsworth, P Adamson, K Hazelwood, I Kourbanis, E Stern Fermi National Accelerator Lab.(FNAL), Batavia, IL (United States), 2016 | 4 | 2016 |
Fpga architectures for distributed ml systems for real-time beam loss de-blending MA Ibrahim, MR Austin, JM Arnold, JR Berlioz, P Hanlet, KJ Hazelwood, ... Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States), 2023 | 3 | 2023 |
Machine Learning for Slow Spill Regulation in the Fermilab Delivery Ring for Mu2e A Narayanan JACoW, 2022 | 3 | 2022 |
Fermilab Electronic Logbook KJ Hazelwood Available online: www-bd. fnal. gov/Elog (accessed on 15 April 2021), 2013 | 2* | 2013 |
Ml-based real-time control at the edge: An approach using hls4ml R Shi, S Ogrenci, JM Arnold, JR Berlioz, P Hanlet, KJ Hazelwood, ... arXiv preprint arXiv:2311.05716, 2023 | 1 | 2023 |
Corrigendum: Applications and techniques for fast machine learning in science AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ... Frontiers in big Data 6, 1301942, 2023 | 1 | 2023 |
Disentangling beam losses in the fermilab main injector enclosure using real-time edge ai KJ Hazelwood, MR Austin, JM Arnold, JR Berlioz, P Hanlet, MA Ibrahim, ... | 1 | 2023 |
Residual Dose and Environmental Monitoring for the Fermilab Main Injector Tunnel Using the Data Acquisition Logging Engine (Dale) N Chelidze, R Ainsworth, B Brown, D Capista, K Hazelwood, D Morris, ... JACoW, 2022 | 1 | 2022 |
The L-CAPE Project at FNAL M Jain, V Amatya, B Harrison, K Hazelwood, G Panapitiya, W Pellico, ... JACoW, 2022 | 1 | 2022 |
Linear Modelling and Lattice Correction from Betatron Phase Measurements at the Fermilab Recycler NOvA Ring M Xiao, R Ainsworth, K Hazelwood, MJ Yang 68th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness …, 2024 | | 2024 |