I've a question about GOSIA regarding ratios of Sigma_Coulex(2+) / Sigma_Rutherford = Sigma_Rutherford * P(2+) / Sigma_Rutherford = P(2+); this is for a simple two-state system like that of 124Sn (0+ ground and 2+ first excited state). i.e., I'm studying 124Sn on a 12C target!
When I calculate Sigma_Coulex(2+) and Sigma_Rutherford with NCM=2 (lab ---(inelastic)--->cm) versus Sigma_Coulex(2+) and Sigma_Rutherford with NCM=1 (lab ---(elastic)--->cm), the cross sections change as one would expect but the ratios, Sigma_Coulex(2+)/Sigma_Rutherford, remain unchanged. According to the GOSIA manual (and according to what one would logically think), it seems that one should calculate Sigma_Coulex(2+) with NCM=2 and Sigma_Rutherford with NCM=1; this gives a Sigma_Coulex(2+)/Sigma_Rutherford ratio that is nearly 3% to 5% different than if the NCM flags were the same for both calculations.
After some thought, it seems to me that when you calculate Sigma_Coulex(2+) with NCM=2, the P(2+) component is calculated with respect to NCM=2 (as it should be), but the Sigma_Rutherford component of Sigma_Coulex(2+) is also calculated with respect to NCM=2 (at least this seems to be how GOSIA is handling it), which then wouldn't cancel with the Sigma_Rutherford in the denominator calculated with NCM=1. E.g., Gosia seems to be doing Sigma_Coulex(2+)(NCM2)/Sigma_Rutherford(NCM1) = Sigma_Rutherford(NCM2)*P(2+)(NCM2)/Sigma_Rutherford(NCM1) and hence the Sigma_Rutherford's will not cancel when calculating Sigma_Coulex and Sigma_Rutherford with different NCM values. Because my data is particle-gamma/particle = P(2+), shouldn't I be comparing my data to GOSIA calculations using the same NCM flag so that the Rutherfords cancel, Sigma_Coulex(2+)(NCM2)/Sigma_Rutherford(NCM2)
=Sigma_Rutherford(NCM2)*P(2+)(NCM2)/Sigma_Rutherford(NCM2)
=P(2+)(NCM2)?
Maybe I'm just misunderstanding the problem but it seems to me that Gosia isn't calculating Sigma_Coulex properly b/c it's using NCM=2 for the Sigma_Rutherford component of Sigma_Coulex...... Granted this is a small error but the error in my data is small enough to where this is a concern for me.
Cheers,
Mitch