含锑难处理金精矿加压氧化法制备焦锑酸钠的工艺研究

锑及其化合物是重要的战略物资,焦锑酸钠被广泛应用于玻璃行业。锑金矿是难处理金矿的一种,直接氰化浸出时金的浸出率极低,需要进行预处理后才能提取金。针对某矿山含锑较低的难处理金精矿的特点,并结合目前难处理金矿的各种预处理方法的优缺点,研究确定了该类难处理金精矿适宜采用先回收锑再回收金的思路,即以含锑难处理金矿为原料,采用硫化钠浸出法优先分离锑,使锑以硫代亚锑酸钠形式进入滤液,然后采用加压氧化新工艺以焦锑酸钠产品的形式回收锑,氧化后的滤液经过净化和浓缩结晶后产出硫代硫酸钠产品,脱除锑后的浸出渣用细菌氧化预处理,最后用氰化法从细菌氧化渣中提取金,从而实现难处理金精矿中锑、硫、金的综合回收

OFDM发射机设计与FPGA实现

为使OFDM（正交频分复用）技术在宽带无线通信中得到实际运用,提出了基于IEEE 802.11a协议的OFDM发射机的设计方案及关键技术的实现方法。在设计中采用自顶向下的设计思想,通过数字锁相环、乒乓RAM（随机存储器）等方式提高系统运行的可靠性。并利用Altera公司的Cyclone IV E系列FPGA（现场可编程门阵列）器件的特点和灵活的IP Core（知识产权核）功能,实现了OFDM发射机的设计。在Modelsim环境下的仿真结果证明了该设计的有效性,且占用的资源少

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→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

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