Search for neutrino oscillations on a long base-line at the CHOOZ nuclear power station
M. Apollonio, A. Baldini, C. Bemporad, E. Caffau, F. Cei, Y. Declais, H. de Kerret, B. Dieterle, A. Etenko, L. Foresti, J. George, G. Giannini, M. Grassi, Y. Kozlov, W. Kropp, D. Kryn, M. Laiman, C. E. Lane, B. Lefievre, I. Machulin, A. Martemyanov, V. Martemyanov, L. Mikaelyan, D. Nicolo, M. Obolensky, R. Pazzi, G. Pieri, L. Price, S. Riley, R. Reeder, A. Sabelnikov, G. Santin, M. Skorokhvatov, H. Sobel, J. Steele, R. Steinberg, S. Sukhotin, S. Tomshaw, D. Veron, V. Vyrodov
TL;DR
The CHOOZ experiment delivers a precise, multi-faceted test of electron antineutrino disappearance from nuclear reactors over a long baseline. By meticulously characterizing the $\overline{\nu}_{e}$ source, deploying a Gd-loaded scintillator detector with robust calibration and reconstruction, and applying three complementary oscillation analyses, the study derives stringent constraints on $\sin^2 2\theta$ and $\delta m^2$—notably excluding large $\nu_e$ mixing in the atmospheric mass-squared range. The work also introduces a novel, systematics-aware method for confidence-region derivation, illustrating improved handling of uncertainties in neutrino-oscillation studies. Collectively, the results favor $\nu_\mu \rightarrow \nu_\tau$ as the dominant atmospheric oscillation channel and provide critical inputs for global fits of three-flavour mixing. The methods and findings strengthen reactor-based oscillation limits and illuminate the role of detector-systematics in high-precision neutrino experiments.
Abstract
This final article about the CHOOZ experiment presents a complete description of the electron antineutrino source and detector, the calibration methods and stability checks, the event reconstruction procedures and the Monte Carlo simulation. The data analysis, systematic effects and the methods used to reach our conclusions are fully discussed. Some new remarks are presented on the deduction of the confidence limits and on the correct treatment of systematic errors.
