20-27 February 2019
HSE Study Center “Voronovo”
Europe/Moscow timezone

Statistical data analysis in the DANSS experiment

25 Feb 2019, 17:30
HSE Study Center “Voronovo”

HSE Study Center “Voronovo”

Voronovskoe, Moscow Russian Federation
Talk [10+2 min] Young Scientist Forum


Nataliya Skrobova (LPI)


DANSS is a one cubic meter highly segmented solid scintillator detector. It consists of 2500 scintillator strips, covered with gadolinium loaded reflective coating and read out with SiPMs via wavelength shifting fibers. DANSS is placed under a 3 GW industrial reactor at the Kalinin NPP (Russia) on a movable platform. The distance from the reactor core center is varied from 10.7 m to 12.7 m on-line. The inverse beta decay (IBD) process is used to detect antineutrinos. DANSS detects about 5000 IBD events per day with the background from cosmic muons at the level of few percent.
Sterile neutrinos are searched for assuming a 4 neutrino model (3 active and 1 sterile neutrino). The exclusion area in the $\sin^{2}2\theta$, $\Delta m^2$ plane is obtained using a ratio of positron energy spectra collected at different distances. Therefore results do not depend on the shape and normalization of the reactor $\tilde{\nu_e}$ spectrum, as well as on the detector efficiency. The talk will cover the statistical methods used to obtain exclusion areas and the description of $CL_s$ method which is more conservative then Raster Scan method. Comparison with the Raster Scan method will be presented as well as estimated detector sensitivity. $CL_s$ method includes a point from sterile neutrino parameter plane into exclusion area only if the experiment sensitivity to such point is good. The systematic uncertainties and their influence on obtained results will be discussed. The excluded area covers a wide range of the sterile neutrino parameters up to $\sin^{2}2\theta < 0.01$ in the most sensitive region. The Reactor Antineutrino Anomaly optimum point is excluded with a confidence level higher than 5$\sigma$.

Primary author

Nataliya Skrobova (LPI)

Presentation Materials

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