While listening to the election results last night I had a go a t combining my M13 data from last week (2 minute subs) with my June 2018 data (30 second subs). On average the June data wasn’t quite as high scoring because of the shorter exposures, but I was ruthless in getting rid of poor scoring frames from May (I’d already culled last year’s data). The combination seems to have been effective in keeping detail right to the middle of the cluster.
