Constraining Neutrino Mass Hierarchy and θ 13 with Supernova Neutrino Data Stan Yen SNOLAB EAC August 2009.

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Presentation transcript:

Constraining Neutrino Mass Hierarchy and θ 13 with Supernova Neutrino Data Stan Yen SNOLAB EAC August 2009

Importance of Understanding ν flavour transitions in Supernovae 1. Which transitions occur depends on the ν mass hierarchy and the mixing angle θ 13, both currently unknown. Supernova data could be used to put constraints on these. 2.Supernova dynamics – since ν e interacts more strongly with matter than other flavours, flavour transitions in the core will affect the extent to which ν’s can revive the stalled shock wave to produce a SN explosion.

3.R-process nucleosynthesis requires a neutron-rich medium. The n/p ratio is affected by the reactions ν e + n ↔ e - + p _ ν e + p ↔ e + + n __ Normally, T(ν e ) < T(ν e ), but flavour-swapping could invert this and enhance the first reaction over the second. 4.D. Cline has suggested that the homochirality of biological molecules arise when the neutrinos from a supernova irradiate a giant molecular cloud. Because the interaction cross section scales as E ν 2, and the left-handed ν e have lower energy than the right-handed anti- ν e, one handedness of amino acids is preferentially destroyed over another. Flavour swapping, which hardens the ν e and softens the anti- ν e spectra, would reduce or eliminate this chirality selection.

Supernova ν flux models Use 3 different models for initial ν flux ‘Dighe’ = Das Gupta and Dighe, PRD 77, ‘Garching’ = Raffelt et al. astro-ph/ ‘Livermore’ = Totani et al. APJ 496, 216 (1998)

The ‘Dighe’ parameterization has the softest ν e spectrum and an anti- ν e midway between the the Garching and Livermore parameterizations. Adapted from A. Dighe, NUFACT07 presentation Dighe (D)

Subsequent oscillations The initial fluxes are transformed by electron-neutrino (MSW) oscillations at larger distances from the core, and by collective ν-ν oscillations at smaller distances. Only place in the universe with enough ν density to see effects of ν-ν scattering and collective behaviour of an ensemble of ν’s in thermal equilibrium. The latter have been understood only in the past ~3 years and are not well-established experimentally. Further uncertainties are the size of the mixing angle θ 13 and whether the neutrino mass hierarchy is normal or inverted.

References: Dighe NuFact07 arXiv:hep-ph/ (MSW only) Dighe Neutrino08 arXiv:hep-ph/ (MSW+collective νν) summarized and expanded in Dasgupta and Dighe, PRD 77, (2008) These give prescriptions for the final ν fluxes after MSW and MSW+collective νν flavour transitions. ν-Pb cross secs Engel et al. arXiv:hep-ph/ ν-C cross secs Burrows PRD 45, 3361 (1992). Dighe: Let F 0, F denote initial, final flux of ν e G 0, G denote initial, final flux of anti- ν e H 0, H denote initial, final flux of ν x (flux for any 1 of 4 types)

The final fluxes are obtained from the initial fluxes by F = p F 0 + (1-p) H 0 G = q G 0 + (1-q) H 0 4 H = (1-p) F 0 + (1-q) G 0 + (2+p+q) H 0 where the values of p and q are given on the next slide We use the abbreviation s 2 = sin 2 θ solar = sin 2 θ 12 = sin 2 (33.9°) = c 2 = cos 2 θ solar = cos 2 θ 12 = cos 2 (33.9°) = and “large” θ 13 means sin 2 θ 13 ≥ (limit for next generation expts) “small” θ 13 means sin 2 θ 13 ≤ (the current CHOOZ limit is sin 2 2θ 13 < 0.2)

Scenariotransitionhierarchy θ 13 p q 0 none MSWnormallarge 0 c 2 2 MSWinvertedlarge s MSWnormalsmall s 2 c 2 4 MSWinvertedsmall s 2 c 2 5MSW+ννnormallarge 0 s 2 6MSW+ννinvertedlarge c 2 | 0 c 2 7MSW+ννnormalsmall s 2 c 2 8MSW+ννinvertedsmall c 2 | 0 0 c 2 | 0 means use c 2 if the neutrino energy is less than the critical energy of ~7 MeV, 0 otherwise. This leads to the discontinuity known as ‘spectral splitting in the case of an inverted mass hierarchy, but not observable in HALO since it has a high (~18 MeV) threshold The transformation coefficients p and q for the various scenarios are tabulated below:

We have at SNOLAB two detectors with complementary neutrino flavour sensitivities. Important to have sensitivity to all flavours at one location, to avoid complications due to ν-Earth interactions. __ SNO+ mostly sensitive to ν e via CC on protons some sensitivity to all ν flavours via NC processes, e.g. excitation of MeV state in 12 C, or νp elastic scattering HALO large neutron excess in Pb, mostly sensitive to ν e excitation of states in Bi ___ We have in principle sensitivity to ν e,, ν e and ν x and can do a flavour decomposition of the neutrino flux from a supernova. How can we use the data from HALO and SNO+ to put constraints on which one of these 9 scenarios actually occurs in a supernova?

The experimental observables are: 1.Neutron detection rate in HALO, from a sum of mostly charged current (CC) and some neutral current (NC) interactions in Pb, with no ability to distinguish these. → ν e flux / energy 2.Ratio of 2-neutron to 1-neutron emission events in HALO → crude measure of ν e energy (not used in this analysis) __ 3.The energy spectrum and flux of ν e from SNO+, via CC interactions on protons. 4.The gamma detection rate from the decay of the MeV state in 12 C, excited by NC interactions in SNO+ (alternatively, rate for νp elastic scattering). All ν flavours contribute equally

Now consider scenario 8 in the table:   Since HALO has a high threshold above the critical energy, the values of p and q are both 0. Thus, the final electron neutrino and anti-neutrino fluxes F and G are related to the initial ones F 0 and G 0 by F = H 0 G = H 0 where H denotes the ν x flux __ After the flavour transformation, the final ν e and ν e spectra are the same. The ν e, which initially had the lowest energy of all neutrino species, ends up with the energy of the ν x, which had the highest energy. This flavour swapping increases the ν e energy and the rate of CC interactions in Pb.

This is what the initial and final fluxes look like, under scenario 8, with the ‘Dighe’ initial fluxes. Note that 1. final ν e spectrum has an enhanced high-energy tail, and 2. over 7 MeV, final ν e and anti- ν e spectra are the same.

__ In scenario 8, the final ν e and ν e spectra are the same. In all other scenarios, they are different, to varying degrees. A useful parameter to distinguish the different oscillation scenarios would be a measure of how different these two spectra are. ___ __ We can measure the ν e spectrum in SNO+. If the final ν e and ν e spectra are the same, then using the measured ν e spectrum as a proxy for the ν e spectrum and folding this with the Pb CC cross sections of Engel et al. should give a good reproduction of the experimental Pb CC rate. Proxy[ Pb(CC)]+Estimated[Pb(NC) ] Let y = (1) Measured [Pb(CC+NC)] __ so y=1 means the ν e and ν e spectra are the same. How do we estimate the NC rate in Pb?

We estimate the NC rate on Pb from the measured NC excitation rate for MeV state in C where ‘rate’ = ν flux * cross section. For the 3 ν flux models (Dighe, Garching and Livermore) and the 9 oscillation scenarios for each model (0-8 in table), we calculate the NC rates on Pb and C, and obtain mean values of R(Pb, 1n) = 37.6 ± 0.8 * R(C, 15.11) R(Pb,2n) = 9.6 ± 1.5 * R(C, 15.11) R(Pb, 1n+2n) = 47.2 ± 2.3 * R(C, 15.11) R(Pb, 0n+1n+2n) = 56.8 ± 2.1 * R(C, 15.11) Use these to get the 2 nd term in the numerator of eq. (1) on the previous slide.

We define a second variable to distinguish the various scenarios. Measured Pb(CC+NC) rate Let x = Measured C(15.11 NC) rate Since flavour-transitions tend to raise the energy of the ν e ’s responsible for Pb(CC), to various degrees depending on the scenario, x is a measure of the “hotness” of the ν e spectrum (numerator) compared to all neutrino flavours (denominator). Notice that we have defined both x and y to be ratios, which are independent of the absolute flux of neutrinos. This means that these are robust quantities which do not depend on knowing the distance to the supernova or its absolute luminosity. We now plot x versus y for the 9 scenarios, for each of the 3 supernova flux models.

It is evident that the different oscillation scenarios populate different regions of x-y space. Points from different initial flux models still cluster together according to oscillation scenario. The non-oscillation scenario 0 is characterized by low x, and is clearly separated from all other oscillation scenarios. The full flavour swapping scenario 8 results in y=1, regardless of which initial flux model is used. By plotting actual supernova neutrino data on an x-y plot of this type, and seeing where the point lies in x-y space, we can select the most likely oscillation scenario and put constraints on (but not fully resolve) the questions of mass hierarchy and the value of θ 13.

This techniques works only if we have accurate knowledge of the Pb-ν cross sections, for all isotopes of Pb. Much more experimental and theoretical work is required in this regard. SNO+ is urged to maximize sensitivity to NC processes which are our only handle on the ν x flavours and which provide a flavour-insensitive normalization to the CC data: i.e. good energy resolution to resolve γ-ray following excitation of MeV state in 12 C and low energy threshold to pick up signals of recoiling protons from νp elastic scattering.