EPSCI publications page

EPSCI Group Publications

2024

Publications from 2024

Title/Info	BibTex
PHASM: A Toolkit for Creating AI Surrogate Models within Legacy Codebases Nathan Brei, Xinxin(Cissie) Mei, Daniel Lersch, Kishansingh Rajput, David Lawrence US DOE Office of Scientific and Technical Information https://doi.org/10.2172/2331226	bibtex
Towards High-Performance AI4NP Applications on Modern GPU Platforms Xinxin Mei, Nathan Brei and David Lawrence EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429511023	bibtex
JIRIAF: JLAB Integrated Research Infrastructure Across Facilities Gyurjyan Vardan, Larrieu Christopher, Heyes Graham, and Lawrence David EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429504027	bibtex
EIC Software Overview Lawrence David EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429503011	bibtex
Streaming Readout and Data-Stream Processing With ERSAP Gyurjyan Vardan, Abbott David, Goodrich Michael, Heyes Graham, Jastrzembski Ed, Lawrence David, Raydo Benjamin and Timmer Carl EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429502025	bibtex
Hydra: Computer Vision for Online Data Quality Monitoring Torri Jeske, Thomas Britton, David Lawrence and Kishansingh Rajput EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429502008	bibtex
AI Driven Experiment Calibration and Control Thomas Britton, Cullan Bedwell3, Abhijeet Chawhan3, Julie Crowe3, Naomi Jarvis2, Torri Jeske1, Nikhil Kalra1, David Lawrence, and Diana McSpadden EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429502003	bibtex
Control Simulation for an ESnet-JLab FPGA Accelerated Transport Load Balancer Derek Howard, Michael Goodrich, Carl Timmer, Yatish Kumar, Graham Heyes, David Lawrence, Stacey Sheldon, and Vardan Gyurjyan EPJ Web of Conferences https://doi.org/10.1051/epjconf/202429510002	bibtex
Hydra: Computer Vision for Data Quality Monitoring Thomas Britton, Torri Jeske, David Lawrence, Kishansingh Rajput Submitted to JINST (AI4EIC proceedings) arXiv: https://doi.org/10.48550/arXiv.2403.00689	bibtex
ML-based Calibration and Control of the GlueX Central Drift Chamber Thomas Britton, Michael Goodrich, Naomi Jarvis, Torri Jeske, Nikhil Kalra, David Lawrence, Diana McSpadden, Kishan Rajput Submitted to JINST (AI4EIC proceedings) arXiv: https://doi.org/10.48550/arXiv.2403.13823	bibtex

2023

Publications from 2023

Title/Info	BibTex
Control Simulation for an ESnet-JLab FPGA Accelerated Transport Load Balancer D. Howard; M. Goodrich; C. Timmer; V. Gyurjyan; D. Lawrence; G. Heyes; Y. Kumar; S. Sheldon Published at: [(pending)] DOI: https://jeffersonlab.sharepoint.com/:b:/r/sites/SciComp/Shared%20Documents/EPSCI/EJFAT/chep2023_proceedings-ejfat.pdf?csf=1&web=1&e=VpLBVA	bibtex
Development of ML FPGA Filter for Particle Identification and Tracking in Real Time F. Barbosa, L. Belfore, N. Branson, C. Dickover, C. Fanelli, D. Furletov, S. Furletov, L. Jokhovets, D. Lawrence, D. Romanov Published at: IEEE Xplore DOI: https://doi.org/10.1109/TNS.2023.3259436	bibtex
EJFAT: Towards Intelligent Compute Destination Load Balancing M. Goodrich; C. Timmer; V. Gyurjyan; D. Lawrence; G. Heyes; Y. Kumar; S. Sheldon Submitted to: ACAT DOI: https://indicio.cern.ch/event/1106990/contributions/4991287
The Present and Future of QCD (report from 2022 Hot & Cold QCD Town Hall) P. Achenbach et al. Submitted to: Nuclear Physics A DOI: Nucl. Phys. A: https://doi.org/10.1016/j.nuclphysa.2024.122874 arXiv.org: https://doi.org/10.48550/arXiv.2303.02579	bibtex bibtex
ESnet / JLab FPGA Accelerated Transport M. Goodrich; C. Timmer; V. Gyurjyan; D. Lawrence; G. Heyes; Y. Kumar; S. Sheldon Submitted to: IEEE Xplore DOI: https://doi.org/10.1109/TNS.2023.3243871	bibtex
ERSAP: Towards Better NP Data-Stream Analytics with Flow-Based Programming V. Gyurjyan, D. Abbott, N. Brei, M. Goodrich, G. Heyes, E. Jastrzembski, D. Lawrence, B. Raydo, C. Timmer Published at: IEEE Xplore DOI: https://doi.org/10.1109/TNS.2023.3242548	bibtex

2022

Publications from 2022

Title/Info	BibTex
EJ-FAT Joint ESnet JLab FPGA Accelerated Transport Load Balancer Stacey Sheldon, Yatish Kumar, Michael Goodrich, Graham Heyes Submitted to INDIS arXiv: https://arxiv.org/abs/2303.16351
Scientific Computing Plan for the ECCE Detector at the Electron Ion Collider J. C. Bernauer, et al. Will be submitted to NIM arXiv: https://doi.org/10.48550/arXiv.2205.08607 NIM: https://www.sciencedirect.com/science/article/pii/S0168900222011512?via%3Dihub	bibtex
Accelerator and detector control for the EIC with machine learning T. Britton and B. Nachman Submitted to IOPscience Journal of Instrumentation DOI: https://doi.org/10.1088/1748-0221/17/02/C02022	bibtex
Using AI to predict calibrations constants for the central drift chamber in GlueX at Jefferson Lab Torri Jeske, Diana McSpadden, Nikhil Kalra, Thomas Britton, Naomi Jarvis, and David Lawrence Submitted to IOPscience Journal of Physics: Conference Series	bibtex
AI For Experimental Controls at Jefferson Lab Torri Jeske, Diana McSpadden, Nikhil Kalra, Thomas Britton, Naomi Jarvis, and David Lawrence DOI: https://doi.org/10.1088/1748-0221/17/03/C03043 (2022 JINST 17 C03043) arXiv: https://arxiv.org/abs/2203.05999	bibtex
Machine Learning on FPGA For Event Selection Sergey Furletov, Fernando Barbosa, Lee Belfore, Cody Dickover, Cristiano Fanelli, Yulia Furletova, Lioubov Jokhovets, David Lawrence, and Dmitry Romanov Submitted to JINST	bibtex
Streaming readout for next generation electron scattering experiments Fabrizio Ameli, Marco Battaglieri, Vladimir V. Berdnikov, Mariangela Bondì, Sergey Boyarinov, Nathan Brei, Laura Cappelli, Andrea Celentano , Tommaso Chiarusi, Raffaella De Vita, Cristiano Fanelli, Vardan Gyurjyan, David Lawrence, Patrick Moran, Paolo Musico, Carmelo Pellegrino , Alessandro Pilloni, Ben Raydo, Carl Timmer, Maurizio Ungaro, Simone Vallarino Submitted to EPJ+ DOI: https://link.springer.com/article/10.1140/epjp/s13360-022-03146-z arXiv: https://arxiv.org/abs/2202.03085	bibtex

2021

Publications from 2021

Title/Info	BibTex
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator Willem Blokland, Pradeep Ramuhalli, Charles Peters, Yigit Yucesan, Alexander Zhukov, Malachi Schram, Kishansingh Rajput, Torri Jeske Submitted to Phy AB arXiv: https://arxiv.org/abs/2110.12006	bibtex *DS dept.
AI Enabled Data Quality Monitoring with Hydra Thomas Britton, David Lawrence, Kishansingh Rajput DOI: https://doi.org/10.1051/epjconf/202125104010 arXiv: https://arxiv.org/abs/2105.07948	bibtex
HOSS! David Lawrence DOI: https://doi.org/10.1051/epjconf/202125104005 arXiv: https://arxiv.org/abs/2104.14656	bibtex
Streaming Readout of the CLAS12 Forward Tagger Using TriDAS and JANA2 Fabrizio Ameli, Marco Battaglieri, Mariangela Bondí, Andrea Celentano, Sergey Boyarinov, Nathan Brei, Tommaso Chiarusi, Raffaella De Vita, Cristiano Fanelli , Vardan Gyurjyan, David Lawrence, Paolo Musico, Carmelo Pellegrino, Ben Raydo, Simone Vallarino DOI: https://doi.org/10.1051/epjconf/202125104011 arXiv: https://arxiv.org/abs/2105.07948	bibtex

2020

Publications from 2020

Title/Info	BibTex
Automated and Distributed Monte Carlo Generation for GlueX Thomas Britton EPJ Web Conf., 245 (2020) 01022 DOI: https://doi.org/10.1051/epjconf/202024503028	bibtex
JANA2 Framework for Event Based and Triggerless Data Processing David Lawrence, Amber Boehnlein and Nathan Brei EPJ Web Conf., 245 (2020) 01022 DOI: https://doi.org/10.1051/epjconf/202024501022	bibtex
ML Track Fitting in Nuclear Physics Thomas Britton, David Lawrence and Gagik Gavalian EPJ Web Conf., 245 (2020) 06015 DOI: https://doi.org/10.1051/epjconf/202024506015	bibtex
Offsite Data Processing for the GlueX Experiment David Lawrence EPJ Web Conf., 245 (2020) 07037 DOI: https://doi.org/10.1051/epjconf/202024507037	bibtex
Heterogeneous data-processing optimization with CLARA’s adaptive workflow orchestrator Vardan Gyurjyan and Sebastian Mancilla EPJ Web Conf., 245 (2020) 07037 DOI: https://doi.org/10.1051/epjconf/202024505020	bibtex

Relevant journals featuring Articles on Software and Computing

• Software X
• Computer Physics Communications (CPC)
• Journal of Open Source Software (JOSS)
• JOURNAL FOR ADVANCED INSTRUMENTATION IN SCIENCE (JAIS)

Fortnight Papers

About every 2 weeks we try and review an external paper just to keep up with other relevant things in the field (and for fun!). An archive of the papers can be found on the Fortnight Papers page.