Search for hidden-photon dark matter with the FUNK experiment

Many extensions of the Standard Model of particle physics predict a parallel sector of a new U(1) symmetry, giving rise to hidden photons. These hidden photons are candidate particles for cold dark matter. They are expected to kinetically mix with regular photons, which leads to a tiny oscillating electric-field component accompanying dark matter particles. A conducting surface can convert such dark matter particles into photons which are emitted almost perpendicularly to the surface. The corresponding photon frequency follows from the mass of the hidden photons. In this contribution we present a preliminary result on a hidden photon search in the visible and near-UV wavelength range that was done with a large, 14 m2 spherical metallic mirror and discuss future dark matter searches in the eV and sub-eV range by application of different detectors for electromagnetic radiation.Comment: Contribution to the 35th International Cosmic Ray Conference ICRC2017, 10 to 20 July, 2017, Bexco, Busan, Korea. arXiv admin note: text overlap with arXiv:1711.0296

Electrospun shape memory scaffolds for bone tissue engineering

Poster Topic: Biomaterials in constructing tissue substitutesINTRODUCTION: Emulsion electrospinning is extensively used to make tissue engineering scaffolds with the capability of delivering bioactive agents such as growth factors [1]. Bone morphogenetic protein-2 (BMP-2) is a potent growth factor for osteogenesis. On the other hand, shape memory polymers (SMPs) have attracted great attention in tissue engineering[2]. An SMP device can be packed into a temporary shape with a much reduced size. After implantation through a narrow path, the device may recover to its larger and permanent shape upon specific stimulus. Another important issue is electrospinning of thick, 3D scaffolds. This study investigated electrospinning of a shape memory polymer, poly(D,L-lactide-co-trimethylene carbonate) P(DLLA-co-TMC), into thermo-responsive scaffolds. An auxiliary process was studied for facilitating the formation of thick scaffolds ...postprin

Three-flavour neutrino oscillation update and comments on possible hints for a non-zero θ ₁₃

We provide a short summary of three-flavour neutrino oscillation parameters as determined from a global fit to 2008 data, and we comment on possible hints in favour of a non-zero value of the mixing angle theta_{13} found in arXiv:0806.2649. We do confirm a hint from solar + KamLAND data at about 1.5 sigma, which can be understood from the recent SNO CC/NC measurment. However, we show that a claimed hint from atmospheric data is much less robust. It depends on details of event rate calculations and treatment of theoretical uncertainties. We could identify two data points showing an 'excess' (at the 1 sigma level) in the SK-I multi-GeV e-like data, which seem to be the origin of the slight preference for theta_{13} > 0. We point out that once SK-I and SK-II data are combined this 'excess' disappears, and irrespective of the details of the analysis, no 'hint' from atmospheric data is obtained for the SK-I and SK-II combined data set. As a result the global fit of all data leads to a best fit value of theta_{13} consistent with zero within less than 1 sigma

Light Dark Matter in the light of CRESST-II

Recently the CRESST collaboration has published the long anticipated results of their direct Dark Matter (DM) detection experiment with a CaWO_4 target. The number of observed events exceeds known backgrounds at more than 4 sigma significance, and this excess could potentially be due to DM scattering. We confront this interpretation with null results from other direct detection experiments for a number of theoretical models, and find that consistency is achieved in non-minimal models such as inelastic DM and isospin-violating DM. In both cases mild tension with constraints remain. The CRESST data can, however, not be reconciled with the null results and with the positive signals from DAMA and CoGeNT simultaneously in any of the models we study

Quantifying the sensitivity of oscillation experiments to the neutrino mass ordering

Determining the type of the neutrino mass ordering (normal versus inverted) is one of the most important open questions in neutrino physics. In this paper we clarify the statistical interpretation of sensitivity calculations for this measurement. We employ standard frequentist methods of hypothesis testing in order to precisely define terms like the median sensitivity of an experiment. We consider a test statistic $T$ which in a certain limit will be normal distributed. We show that the median sensitivity in this limit is very close to standard sensitivities based on $\Delta\chi^2$ values from a data set without statistical fluctuations, such as widely used in the literature. Furthermore, we perform an explicit Monte Carlo simulation of the INO, JUNO, LBNE, NOvA, and PINGU experiments in order to verify the validity of the Gaussian limit, and provide a comparison of the expected sensitivities for those experiments