Thank you. Yes, that is the idea. I'd like to get closer to understanding how to marry purely quantitative descriptions of exposure, film (and paper), development with the purely descriptive accounts. I am willing to bet that each discerning photographer already has such a system in place. It may be intuitive, it may be based on prior experience, it may be the result of reading data sheets, it may be based on Zone System testing, etc., but such accounts only make perfect sense to that photographer, making generalizable descriptions difficult. There are countless examples of such descriptions in photographic publications that probably make perfect sense to the author, but much less to the reader.
For example, the idea of "lumpiness" came up in this thread and the one on
tabular grain films. We can see how this "lumpiness" shows up in the characteristic curve, but we do not know why this happens. Even the very term "lumpy" probably has a different meaning to different people. The lumpiness can be described as both local and global non-linearities with the film's response to exposure and development. Perhaps it happens because of the multi-layered structure of the emulsion. It would be reasonable to assume that each light-sensitive layer has its own transfer function, and the overall response is some sort of aggregate, hence displaying lumpiness where the individual layers' responses cross over? This is pure speculation. It would be nice if a chemist could chime in, especially someone with experience with tabular grain films. The Delta films do not seem to have this characteristic, at least not to the same degree.
With simple emulsions, such as the Ferrania P30, it's possible to create a model that fits the data pretty well. With such a model, we can synthesize an entire family of characteristic curves (based on a set of criteria, such as development time, CI, Gamma, etc.) and have them look similar to the actual data (see the example below). However, with KODAK T-MAX emulsions, especially the P3200, it is harder to do.
ferraniaP30 by
Nick Mazur, on Flickr
ferraniaP30Table by
Nick Mazur, on Flickr
ferraniaP30S by
Nick Mazur, on Flickr
ferraniaP30STable by
Nick Mazur, on Flickr