adapt_seq: Adaptive tempering helper function
In sgolchi/BPD: Bayesian Particle Discovery

Adaptive tempering helper function

1	adapt_seq(temp, temp0, N, mt, mut, lambdat, G, cnew, snew, y)

`temp`	current temperature
`temp0`	previous temperature
`N`	Monte Carlo sample size
`mt`	current sample of mass, vector of size `N`
`mut`	current sample of signal strength parameter, vector of size `N`
`lambdat`	current sample of baclground paths, array of dimensions `N*length(G)`
`G`	grid over mass range
`cnew`	matrix of signal normalizing constants - dimensions are (size of grid `G`)by(number of categories/channels,41)
`snew`	matrix of signal widths, same dimensions as `cnew`
`y`	vector of observations