快乐型和实现型情感的习惯化

作为时间动态性表现形式之一,积极情感习惯化对于心理健康和幸福感有着重要意义。积极情感可分为快乐型(追求快乐和避免痛苦)和实现型(追求意义和自我实现)。以往研究大多关注快乐型情感的习惯化,而对实现型情感鲜有研究。并且,实现型情感习惯化是否会受到多样化的影响及其与抑郁的关系也不清楚。因此,采用习惯化范式,对快乐型和实现型情感的动态变化过程进行了比较。结果发现:与快乐型情感相比,实现型情感不容易发生习惯化;多样性能降低两类积极情感的习惯化速度;个体的抑郁水平与实现型情感习惯化速度有关,且神经质在其中起调节作用。这表明,实现型情感短期习惯化可能与个体的心理健康水平有着重要联系

The habituation of hedonic and eudaimonic affect

作为时间动态性表现形式之一,积极情感习惯化对于心理健康和幸福感有着重要意义。积极情感可分为快乐型(追求快乐和避免痛苦)和实现型(追求意义和自我实现)。以往研究大多关注快乐型情感的习惯化,而对实现型情感鲜有研究。并且,实现型情感习惯化是否会受到多样化的影响及其与抑郁的关系也不清楚。因此,采用习惯化范式,对快乐型和实现型情感的动态变化过程进行了比较。结果发现:与快乐型情感相比,实现型情感不容易发生习惯化;多样性能降低两类积极情感的习惯化速度;个体的抑郁水平与实现型情感习惯化速度有关,且神经质在其中起调节作用。这表明,实现型情感短期习惯化可能与个体的心理健康水平有着重要联系。</p

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies