When passing a detp dictionary containing the photon initial weight w0 as natively produced by the simulation, to the detweight util method it returns an array of shape (nphotons, nphotons). The issue seems to arise from the fact that detp['w0'] is of shape (nphotons,1) and detweight expects an array of shape (nphotons). When no w0 is present in the detp the method correctly produces a w0 vector of the correct shape. A simple fix would seem to be to add an np.squeeze(). I'm assuming however that detp['w0'] is supposed to be of shape (nphotons, nsource) in which case the method would still not work as expected.
if isinstance(detp, dict):
if "w0" not in detp:
detw = np.ones(detp["ppath"].shape[0])
else:
detw = np.squeeze(detp["w0"]) <----------
for i in range(medianum - 1):
detw = detw * np.exp(-prop[i + 1, 0] * detp["ppath"][:, i] * unitinmm)
else:
raise ValueError('The first input must be a dict with a key named "ppath"')
return detw