4. Comparison with the (Empirical) PMNS Model
Observations on solar neutrinos and cosmic neutrinos in suitably designed and built detectors have revealed that neutrinos may change their flavour and will show up as an oscillating mixture. These observations have led to a neutrino model that decomposes each of the three flavours into a characteristic mixture of three mass eigenstates. This model has been developed over the years into a well established theory (PMNS), pioneered by Ziro Maki, Masami Nakagawa and Shoichi Sakata [
2], based upon pioneering work of Bruno Pontecorvo in 1957 [
11]. That work is a ground breaking concept that does not fit in the canonical Standard Model of particle physics. It is seen as an element in “new physics”. The adoption of a paradigm shift from the Standard Model was necessary to explain the experimentally found phenomenon of flavour oscillations in solar and cosmic neutrinos. The view on neutrinos that are produced in the lab frame decay processes that has been developed in the previous chapter, nicely fits with this view. In that respect, the Structural Model of particle physics, on which this view has been developed, would be “new physics” as well, although the author prefers to see it as “common sense physics”.
The PMNS theory recognizes three flavor components, i.e., an electron neutrino, a muon neutrino and a tauon neutrino, that are built up as a mixture of mass eigenstates such that
in which
is a 3 x 3
unitary matrix, known as the canonical PMNS matrix. This matrix is unitary and its coefficients are potentially complex. The coefficients of this matrix are determined from an interpretation of observations in the modern impressive huge underground neutrino detectors. It is basically a curve fitting procedure on measurement results. It is subject to a continuous update over the years.
To calculate effective masses from the canonical matrix, the matrix is modified to a matrix in which the coefficients are replaced by their magnitude
or by the square
of these . The most actual update (NuFIT 5.2) of the “magnitude” and “absolute squared” PMNS matrix gives [
13],
and, squared
These matrices are no longer unitary. The squared absolute PMNS matrix shows the interesting feature that the coefficients in the rows as well as in the columns sum up to 1. It reflects the probability semantics of this matrix. In fact, under proper relabeling of, respectively, the mass eigenstates and the flavour states, the semantics are conserved under interchange of the columns and interchange of the rows. This property, however, is no guarantee that the underlying canonical PMNS matrix is unitary. The reverse, though, is true. The underlying unitary matrix might have complex coefficients. These coefficients can be traced back to three canonical mixing angles
and a skewing angle
. The present NuFIT5.2 data are [
13],
While the accuracy of the mixing angles
is well established, it is not the case for the phase angle parameter,
parameter, which may assume any value between
and
[
12].
Let us discuss this empirical result with the achievements presented in the previous section in mind. In the PMNS theory, the 3 x 3 unitary matrix is built up by three unitary rotation matrices
and
, such that
,
From a mathematical point of view there is no reason why the resulting overall matrix should be composed by real coefficients only. Unitarity can be preserved if, next to the rotation angles, one or more phase angles are added, for instance by an additional matrix
Let us omit the matrix for further discussion later.
To calculate effective masses from the canonical matrix, the matrix is modified to a matrix in which the coefficients are replaced by their magnitude
or by the square of these
, such that
Let us write the general format of the
as
From the unitarity properties of the composing rotation matrices it is found that the algebraic sum of the coefficients in any of the three rows and columns of this matrix is equal to unity. If we would like to trace back the three mixing angles, we have to solve the equation set,
We may proceed by taking into account the result of the kinematic analysis of the lab frame decay processes,
and by invoking the empirical result obtained from the oscillation observations,
Using (39-41) the equation set (37) evolves to,
in which
We have three equations with four unknown variables. These are the mixing angles
and the mass parameter
. Hence, the set is ill-conditioned.
When solar neutrinos are born, they consist of electron neutrinos that in free flight are subject to a change of their profile as a result of the unitary mixing process with muon neutrinos and to a negligible amount with tauon neutrinos. In that respect the solar neutrinos are different from the far more energetic cosmic neutrinos. It means that for solar neutrinos the
U matrix can be approximated by a 2 x 2 one, instead of a 3 x 3 one. Hence, for solar neutrinos we have, instead of (43-45),
Unlike the (43-45) set, the set (46-47) is well conditioned. It contains a single unknown mixing angle
and a unknown mass parameter
. The solution of this set is,
If we now assume that the neutrino mixing angles are energy independent parameters, we may use the result of this mixing angle as an additional condition on the set (43-45) to make it well conditioned. Solving this equation set results in a slightly different
matrix, which under interchange of the columns and interchange of the rows, closely resembles the NUFIT5.2 matrix shown before. The result is,
Retrieving the mixing angles from this matrix, we find,
This result shows a fair fit with the NuFIT5.2 values shown in (33). It has to be noted though that the value up-front parameter
has been modified as a consequence of the interchange of columns and rows in the
matrix. The interchange, though, has no physical impact, in spite of this modification. Proof for this can be found in literature [
14]. The three mass eigenstates are, respectively,
while the three flavour masses are all the same (182.5 meV).