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For smooth bounded domains in $\mathbb{R}$, we prove upper and lower $L^2$bounds on the boundary data of Neumann eigenfunctions, and provequasi-orthogonality of this boundary data in a spectral window. The bounds aretight in the sense that both are independent of eigenvalue; this is achieved byworking with an appropriate norm for boundary functions, which includes a`spectral weight', that is, a function of the boundary Laplacian. This spectralweight is chosen to cancel concentration at the boundary that can happen for`whispering gallery' type eigenfunctions. These bounds are closely related towave equation estimates due to Tataru.  Using this, we bound the distance from an arbitrary Helmholtz parameter $E>0$to the nearest Neumann eigenvalue, in terms of boundary normal-derivative dataof a trial function $u$ solving the Helmholtz equation $(\Delta-E)u=0$. This`inclusion bound' improves over previously known bounds by a factor of$E^{5/6}$. It is analogous to a recently improved inclusion bound in theDirichlet case, due to the first two authors.  Finally, we apply our theory to present an improved numerical implementationof the method of particular solutions for computation of Neumann eigenpairs onsmooth planar domains. We show that the new inclusion bound improves therelative accuracy in a computed Neumann eigenvalue (around the $42000$th) from9 digits to 14 digits, with little extra effort.

Comparable upper and lower bounds for boundary values of Neumann eigenfunctions and tight inclusion of eigenvalues