is there a way to accelerate fitting? I’ve to read in a lot of measure points for each observable and to do three fits each time (TH1) to gain a certain point. In case of about 1-5k observables this takes about 5-15mins.
What do you mean by master? I’m working on my personal computer (quad core).
Unfortunately not. I use some exponential and polynom functions. Not sure if this is the correct answer. Otherwise I do not know in detail how the fitting is done (how do I?).
TF1* fit_raw = new TF1("Raw data fit", "pol2",certain_data_points_Ubias[1],certain_data_points_Ubias[3]);
fit_raw->SetParameter(0, 380.0);
fit_raw->SetParameter(1, 1.2);
fit_raw->SetParameter(2, 1.0);
fit_raw->SetParameter(3, 0.03);
fit_raw->SetParLimits(3, 1e-9, 10.0 );
or something similar. I read in several devices with two sets of about 30-50 data points each and directly fit them. In case of 100, 200 it becomes significant slow. Upper limit will be about 5k devices, bust mostly just 2k.