Research Record

Scientific background

Before founding Critical Attention Systems, Veronique Ziegler built a research career spanning baryon and bottomonium spectroscopy, detector reconstruction, tracking, calibration, and large-scale scientific software. Her work has contributed to the BaBar experiment at SLAC and the CLAS12 program at Jefferson Lab.

Her current research combines ongoing CLAS12 work in strangeness spectroscopy and Λ-baryon analyses with transparent, simulation-based studies of adaptive regulation, attention, stability, and disturbance recovery in artificial agents.

Selected Jefferson Lab / CLAS12 publications

These papers reflect work in detector reconstruction, tracking, calibration, and artificial-intelligence methods for experimental nuclear physics.

• The CLAS12 Software Framework and Event Reconstruction V. Ziegler, N. A. Baltzell, F. Bossù, D. S. Carman, P. Chatagnon, M. Contalbrigo, G. Gilfoyle, J. Newton, and M. Ungaro. Nuclear Instruments and Methods in Physics Research A959, 163472 (2020). Reconstruction softwareCLAS12
• The CLAS12 Spectrometer at Jefferson Laboratory V. D. Burkert et al., including V. Ziegler. Nuclear Instruments and Methods in Physics Research A959, 163419 (2020). Detector systemsCLAS12
• The CLAS12 Drift Chamber System M. D. Mestayer et al., including V. Ziegler. Nuclear Instruments and Methods in Physics Research A959, 163518 (2020). Drift chambersCalibration
• Alignment of the CLAS12 Central Hybrid Tracker with a Kalman Filter S. J. Paul, A. Peck, M. Arratia, Y. Gotra, V. Ziegler, R. De Vita, F. Bossù, et al.Nuclear Instruments and Methods in Physics Research A1049, 168032 (2023). TrackingKalman filter
• CLAS12 Track Reconstruction with Artificial Intelligence G. Gavalian, P. Thomadakis, A. Angelopoulos, N. Chrisochoides, R. De Vita, and V. Ziegler. arXiv:2202.06869 (2022). AI validationTracking
• Machine Learning in Nuclear Physics A. Boehnlein et al., including V. Ziegler. Reviews of Modern Physics 94, 031003 (2022). Machine learningNuclear physics

Current research and contributions

• CLAS12 tracking and reconstruction Developed reconstruction algorithms and software for the CLAS12 central and forward tracking systems; implemented reconstruction code for the CLAS12 Time-of-Flight systems.
• Calibration, analysis, and validation Created the CLAS12 drift-chamber calibration suite and developed detached-vertex reconstruction, analysis tools, and an AI-validation package that measures reconstruction performance against Monte Carlo truth information.
• Strangeness spectroscopy and Λ-baryon analyses Conducts ongoing CLAS12 work in strangeness spectroscopy and coordinates analyses involving Λ baryons; mentors student researchers in analysis and scientific software.

Independent research at Critical Attention Systems

IRAM-Ω-Q: A Computational Architecture for Uncertainty Regulation in Artificial Agents introduces a simulation-based architecture for studying uncertainty regulation, coherence, entropy, susceptibility, regulatory timing, disturbance response, and nonlinear switching dynamics in artificial agents.

The work is exploratory and paper-first: it aims to develop transparent computational models that can be inspected, tested, and refined rather than making broad claims about consciousness or general intelligence.

Selected invited talks

• Recent Spectroscopy Results from CLAS, JLUO 2025, Newport News, VA.
• CLAS12 Detector and Data Processing Overview, APS Division of Nuclear Physics Fall Meeting, New Orleans, LA, October 29–November, 2020.
• Event Reconstruction Goals and Challenges at Jefferson Lab, HOW Workshop, Newport News, VA, March 19–22, 2019.
• Spectroscopy Today, David Leith Symposium, SLAC National Accelerator Laboratory, December 12, 2014.