Hey,
i’ve tried to fit a Gaussian pulse to some experimental data.
When i use x=range(), the result looks resonable, with x equals the actual data, the fit does not work.
Any help is appreciated.
(Can i include Pluto files here?)
Code:
using LsqFit,CSV,Plots
begin
f=CSV.File("data.csv")
x=f.columns[1].column
y=f.columns[2].column
end
model(t, p) = p[1] * exp.(-((t.-p[2]).^2)./(2*p[3].^2)).+p[4]
begin
fit=curve_fit(model,range(1,length(x)),y,[-1.0,length(x)/2,100,0])
plot(y)
plot!(model(range(1,length(y)),fit.param))
end
begin
fit2=curve_fit(model,x,y,[-1.0,x[round(Int,length(x)/2)],100*(x[2]-x[1]),0])
plot(x,y)
plot!(x,model(range(1,length(y)),fit2.param))
end
data.csv:
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