Markov versus quantum dynamic models of belief change during evidence monitoring

This work is licensed under a Creative Commons Attribution 4.0 International License.Two different dynamic models for belief change during evidence monitoring were evaluated: Markov and quantum. They were empirically tested with an experiment in which participants monitored evidence for an initial period of time, made a probability rating, then monitored more evidence, before making a second rating. The models were qualitatively tested by manipulating the time intervals in a manner that provided a test for interference effects of the first rating on the second. The Markov model predicted no interference, whereas the quantum model predicted interference. More importantly, a quantitative comparison of the two models was also carried out using a generalization criterion method: the parameters were fit to data from one set of time intervals, and then these same parameters were used to predict data from another set of time intervals. The results indicated that some features of both Markov and quantum models are needed to accurately account for the results

Proton Interaction Vertex Imaging With Silicon-Pixel CMOS Telescope For Carbon Therapy Quality control

International audienceMonitoring of the dose deposition during carbon ion therapy is a crucial issue for the quality control of such treatments. Recent studies have demonstrated that an ion-range control with millimeter resolution is feasible on a pencil-beam basis in homogeneous targets with prompt gamma detection for proton beams [1] and with Proton Interaction Vertex Imaging (PIVI) for carbon beams [2]. The present communication aims at describing our experimental and Monte Carlo simulation results. [1] J. Smeets et al., Phys. Med. Biol. 57 (2012) 3371-3405 [2] P. Henriquet et al., Phys. Med. Biol. 57 (2012) 4655-466