[defrost]

Interesting read, it culminates in making a sparkly twinkly map to graphically convey radon location and strength which seems a bit 1980s to my mind.

    For the work in Nuclear Sessions I’ve used a 2017 dataset of radon potential, published by the Spanish Nuclear Safety Council. 

    This dataset was selected purely on the basis of availability: it was the easiest (and first) geographic dataset regarding radiation to be found.

They could have gone for the full Australian 256 channel raw (or post processed full spectrum or "artifical colour" U-K-Th 3-channel) dataset covering the bulk of the continent.

https://www.ga.gov.au/scientific-topics/disciplines/geophysi...

The usual practice is to accumulate one second sample windows of the gamma spectrum while travelling at 70 m/s, normalise the data to remove various wobble factors, and extract three significant channels to form an RGB image - you can always add fiddle layers to indicate radon or out of band features (such as uncommon trace elements from atomic tests).

That said when reading the title I though this might be about the new trend in radiometric sampling - using a scintallation source surround by layered spinning masks - when you get a gamma spark you can better guess to some degree the direction of the source, when many gamma interactions accumulate you can build up a pretty decent 3-D image of gamma sources surrounding your instrument.

One of these was recently trialed in the HN infamous Western Australia Mining Company loses Radiactive Source! stories from earlier this year.