Dark Matter Induced Annual Modulation Analysis in CUORE-0

Universita` degli Studi di Genova Dark Matter induced annual modulation analysis in CUORE-0 Simone Copello Supervisors: Sergio Di Domizio Marco Pallavicini This thesis is submitted for the degree of Doctor of Philosophy XXIX cycle March 21, 2017 ii Contents List of Figures vii List of Tables xvii Introduction1 1 Neutrinoless double beta decay and Dark Matter3 1.1 Neutrinoless double beta decay.................4 1.1.1 A brief history of double beta decay..........4 1.1.2 Neutrino oscillation...................6 1.1.3 Neutrinoless double beta decay implications......8 1.1.4 Experimental effort.................... 11 1.2 The Dark Matter problem.................... 15 1.2.1 Dark Matter evidences.................. 15 1.2.2 Dark Matter candidates................. 20 1.2.3 Weakly Interactive Massive Particles.......... 23 2 Dark Matter detection 27 2.1 Experimental techniques..................... 27 2.1.1 Indirect detection..................... 28 2.1.2 Direct detection..................... 30 2.2 Direct detection signature.................... 30 2.2.1 Spin-dependent contribution.............. 32 2.2.2 Spin-independent contribution............. 32 2.2.3 Dark Matter distribution and flux........... 34 2.2.4 Nuclear recoil spectrum................. 35 2.3 Annual modulation........................ 36 2.4 Experiments and Status..................... 39 3 CUORE project 45 3.1 CUORE detection technique................... 46 3.1.1 Bolometric technique................... 46 iii Contents 3.1.2 Bolometer response.................... 48 3.2 CUORE experiment....................... 50 3.2.1 Detectors array...................... 50 3.2.2 CUORE cryostat..................... 54 3.2.3 Cool down procedure................... 59 3.2.4 Detector Calibration System.............. 59 3.2.5 Electronics........................ 60 3.3 Data Acquisition System..................... 62 3.3.1 DAQ boards....................... 63 3.3.2 Slow Control....................... 65 3.3.3 Online trigger and event building............ 67 3.3.4 Database......................... 70 3.4 Cryostat commissioning..................... 70 3.5 CUORE-0............................. 75 4 Low energy analysis 79 4.1 Low energy trigger........................ 79 4.1.1 Optimum Filter...................... 80 4.1.2 Optimum Trigger..................... 81 4.1.3 Trigger efficiency..................... 82 4.1.4 Shape indicator...................... 83 4.2 Stabilization............................ 85 4.3 Calibration check......................... 85 4.4 Event selection.......................... 89 4.4.1 Time based cuts..................... 89 4.4.2 Event based cuts..................... 90 4.4.3 Analysis threshold.................... 93 4.4.4 Anticoincidence cut................... 97 4.4.5 Background spectrum.................. 97 5 Annual modulation analysis 101 5.1 Single channel fit......................... 102 5.1.1 Flat function fit..................... 102 5.1.2 Modulating function fit................. 106 2 5.2 χOT -cut efficiency uncertainty.................. 109 2 5.2.1 χOT -cut uncertainty inclusion.............. 109 5.2.2 Consistency checks.................... 112 5.3 Simultaneous fit......................... 116 5.4 Results............................... 117 5.4.1 210Pb background.................... 119 5.4.2 Time binning effects................... 121 iv Contents 2 5.4.3 χOT -cut acceptance effects................ 122 Conclusions............................... 125 Bibliography 127 v Contents vi List of Figures 1.1 Neutrino oscillation experiments has been used to measure several parameters related the neutrino mass mixing, such as the mixing angles and the square difference between the mass eigen- values, but they cannot discriminate between these two possible scenarios. .............................9 1.2 Constraints on effective double beta decay neutrino mass mββ as a function of the lightest neutrino mass. For inverted (IH, green) and normal (NH, red) hierarchy. The central dark bands are derived from the best-fit neutrino oscillation parameters while the lighter bands include their uncertainties (3σ). The horizontal bands show the current upper limits (90% C.L) for different isotopes: (red) 130Te from CUORE-0 and Cuoricino [1], (blue) 76Ge from Gerda, IGEX and HDM [2], (grey) 136Xe from EXO-200 [3] and KamLAND-Zen [4]. Picture from [5]. 14 1.3 The mass changes the space-time structure and this causes the light to curve its path in its proximity. In some cases the observer can perceive several images of the same source of light. This effect is used to reconstruct the mass distribution between the observer and the source. ................... 17 1.4 The Bullet cluster 1E0657-56. The pink halos show the plasma clouds distribution according to their X-ray emission; the blue halos represents the mass distribution obtained by means of the gravitational lensing effect. If the crossing sub-clusters were made of baryonic matter only, the mass distribution should practically correspond to the plasma gas. Whereas most of the sub-clusters mass seems to have proceed, without relevant interactions, as well as the involved galaxies. ......... 18 1.5 CMB intensity map, after the subtraction of the constant com- ponent, at 5' resolution derived from the joint baseline analysis of Planck, WMAP, and 408 MHz observations [6]. ...... 19 vii List of Figures 2.1 The three detection experimental approaches. If the time evo- lution is read from left to right we have the annihilation of two DM particles and the production of two SM particles (indirect detection), from right to left we have the annihilation of two SM particles and the production of two DM particle (DM production with accelerators) and finally from top to bottom we have the elastic scattering (direct detection). .......... 28 2.2 Expected DM event rate in a TeO2 bolometer for different WIMP masses. Only SI interaction was considered with σχN = 10−46cm2 and Standard Halo Model parameters. Picture from [7]. ................................. 36 2.3 The average velocity of the "WIMP wind" is given by the velocity of Earth in the galaxy rest frame. Such velocity is obtained as the sum of the velocity of Sun in the galaxy frame and the revolution speed of Earth. In this calculation the angle between the galactic plane and the Earth orbit plane must be taken into account. .............................. 38 2.4 Expected modulation amplitude for different values of mχ and assuming a TeO2 detector. The following values have been 3 used in the simulation: DM local density ρ0 = 0:3 GeV=cm , galaxy escape speed vesc = 650 km=s, average speed vc = 220 km=s, amplitude of the velocity modulation vm = 15 km=s −5 and WIMP-nucleon cross-section σχN = 10 pb. ....... 38 2.5 Picture from [8]. Model-independent residual rate of the single- hit scintillation events, measured by the new DAMA/LIBRA experiment in the 2{6 keVee energy intervals as a function of the time. Analogue results from the former DAMA/NaI experiment are also shown for a total exposure of 0.82 tonne·years. Vertical bars represent the error on the estimation of the rate, horizontal bars represent the time bin width. The superim- posed curve represents the ideal, according to the standard halo model, cosinusoidal functions with period T = 1 yr, phase t0 = 152.5 day and the amplitude obtained by the fit over the whole data. ................................ 41 viii List of Figures 2.6 Results from different experiments in terms of spin-independent WIMP-nucleon cross-section, normalized to a single nucleon of target material, for different WIMP masses. DAMA, Co- GeNT, CRESST-II and CDMS Silicon data (CDMS-Si) shaded regions show possible WIMP interpretation for positive signals. The solid curves represent upper limits while dotted curves are projected sensitivity. This picture has been taken from [9] where a general review on Dark Matter search can be found. 44 3.1 Schematic representation of a bolometer: (a) shows the three main elements of a bolometer and the thermal conductances described in equations 3.4 and 3.5, (b) represents the simplifi- cation described in equation 3.6 in which the absorber and the sensor are considered the same object in thermal equilibrium (Gas ! 1 so that Ts = Ta). ................... 49 3.2 Section of hall A with a schematic of the CUORE hut. .... 51 3.3 CUORE detectors array. From left to right: every TeO2 crystal is equipped with a Joule heater, a Ge-NTD thermistor, and is fixed to the copper frame by Polytetrafluoroethylene (PTFE) elements. Four crystals form a CUORE floor. 13 floors are grouped to form a CUORE tower of 52 crystals, on two op- posite sides of every tower the read out strips are fixed. The 26 heaters and 26 thermistors are connects through 25 µm di- ameter gold wires to the read out strips. 19 towers form the CUORE detectors array. ..................... 52 3.4 LEFT: The glove box where NTD sensors and heaters are glued to TeO2 crystals. The two robots are also visible in the picture: on the left side it is the robotic arm used to move the crystal, on the right side it is the cartesian robot used to deposit the glue. RIGHT: Size of Ge-NTD (top) and heaters (bottom) chips, the glue spots can be see on both chips. ......... 54 3.5 The tower assembly procedure. .................. 55 3.6 The bonding procedure. The right picture shows a Joule heater bonded with four gold wires for redundancy. .......... 55 3.7 All the 19 CUORE towers at the end of the tower installation phase. ............................... 56 3.8 The CUORE cryostat. To give an indication about the scale,

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