 Noise remaining after scaled Raman subtraction

Noise remaining after scaled Raman subtraction is the random uncertainty left when a surface contribution's mean has been cancelled. For two measured spectral channels $X,Y$ and fixed scale $k$, scaled subtraction of two spatially offset Raman spectra uses $Z=Y-kX$. Its exact variance isThe covariance term describes the actual acquisition relationship; numerical subtraction does not itself make the inputs correlated or independent. General measurement propagation retains such terms.^[ref]

A focused extension allows an uncertain subtraction scale $K$, independent of the pair $(X,Y)$, with mean $k$ and variance ${\sigma }_k^2$. Expanding the product's moments givesThe final term includes uncertainty in the reference scale, not just shot noise in the two spectra.

For an original surface-only example, let independent Poisson photoelectron counts have means ${\mu }_X=20000$ and ${\mu }_Y=6000$, with $k=0.30$. The mean residual is zero. A perfectly known scale gives variance $6000+0.30^2(20000)=7800$ and standard deviation $88.3$. If instead ${\sigma }_k=0.005$, the variance becomes $7800+0.005^2(20000^2+20000)=17800.5$, giving standard deviation $133.4$ in the scaled count units.

If $K$ is estimated from these same counts, the independence assumption needs replacement by the appropriate joint model. A scale shared across wavelengths can also produce correlated spectral residuals from a shared subtraction scale, leaving a structured band-like error rather than independent noise in each bin. The original SORS study demonstrates changing layer contributions with collection offset; the moment calculation here is an independent noise model for a simplified subtraction.^[ref]