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In this paper we present the first version of ganX -- generate artificiallynew XRF, a Python library to generate X-ray fluorescence Macro maps (MA-XRF)from a coloured RGB image. To do that, a Monte Carlo method is used, where eachMA-XRF pixel signal is sampled out of an XRF signal probability function. Suchprobability function is computed using a database of couples (pigmentcharacteristic XRF signal, RGB), by a weighted sum of such pigment XRF signalby proximity of the image RGB to the pigment characteristic RGB. The library isreleased to PyPi and the code is available open source on GitHub.

ganX -- generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images