Results of a single-cycle, single-history yield experimentwith model fits. Top row: Experimentally-measured viral titers (points) are plotted along with model fits to the data (lines) for four different delay distributions. The left panel shows both the exponential-delay (solid) and fixed-delay (dashed) model fits. Discontinuities in the model dynamics result from removal of 99.9% of virus at each measurement time point, duplicating the experimental procedure. Bottom row: A transformation of the experimental data according to Equation (10) (points) shows the average viral production rate (i.e., the production rate weighted by the fraction of infectious cells) as a function of time; the model dynamics for same quantity, pI/N, are over-plotted (lines). The model dynamics plotted in the bottom row were generated using the extracted parameters from the fits performed to the raw data in the top row. While the exponential and fixed-delay models offer a poor fit to the data, both the normal and lognormal-delay models adequately describe the data.