Thanks Till,
For the "below zero" issue, actually it is asymptoting back to zero, it just wasn't plotted all the way to zero on the r-axis. This can be confusing and where possible I prefer to see G(r)'s plotted all the way to r=0, but that is why it is below zero.
With that said, I do agree with Till that it looks a bit odd. I would normally expect to see a peak around 1.4 coming from the organics in the system, well before the peak that around 2, which presumably is coming from the metal ions in the nodes and whatever is coordinating them (oxygen?). I would also expect that peak to poke higher onto the positive side of the axis, so the overall shape of the background might be a bit off. Till's intuition is probably right there.
Here are some thoughts, without knowing too much about what is going on. First, the G(r) below the peak at 2 is looking too well behaved. This suggests to me that a low-band-pass filter may have been applied (sometimes done
in the neutron world
by back-fourier transforming the low-r-region and subtracting it from the data then re-forward-transorming). I am also not a big fan of this. It doesn't do any harm per se, but it artificially cleans a part of the G(r) that can give helpful information about data quality and if anything has gone wrong with the measurement....like cleaning a crime scene before the forensic team has got there.....
One possibility is that there was a significant amount of hydrogen in the sample and the neutron data reduction struggled to remove it and this affected the overall shape?
Regarding the model, it almost looks to me like it has been inverted (picked up a negative scale factor?) because there is a peak at around 1.4 A in that model but it is upside down? @kirsten, could I ask, is the red curve from a model that has been run through the regression engine, or it is calculated from the model that was uploaded from a CIF file without refining? That would be my first step, something like:
1) load the cif
2) set all off-diagonal ADPs to zero
3) set all other ADPs to James Bond
4) calculate the PDF without refining anything and plot it on the data
5) manually adjust the scale factor so they are more or less on the same scale and replot.
This is a sanity check that allows you to see where the odel thinks peaks and intensity should be, compared to where your data think they shouljd be.
Feel free to share back the results if you like.
S