hello
my suggestion below
look at the yellow trace
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/935684/image.png)
y = readmatrix('metrology_s1.csv');
samples = numel(y);
% create x vector
dx = 0.2;
Fs = 1/dx;
x = (0:samples-1)*dx;
% smooth data
ys = smoothdata(y,'rloess',300);
% add min (max negative) point
[y_min,ind] = min(y);
x_min = x(ind);
%create an exponential window centered on the negative peak and use that to
%"blend" the smoothed data with the raw data
blend_ratio = exp(-(x-x_min).^4/1000);
% plot(x,blend_ratio); % debug / test only
y_blended = ys.*(1-blend_ratio)+ y.*(blend_ratio);
plot(x,y,x,ys,x,y_blended)
legend('raw','smoothed','blended');