Transition edge sensor-based detector:from X-ray to γ-ray

A transition edge sensor(TES)is extremely sensitive to changes in temperature,and combined with a high-Z metal of a certain thickness,it can realize high-energy resolution measurements of particles such as X-rays.X-rays with energies below 10 keV have a weak penetrating ability,hence,only gold or bismuth of a few micrometers in thickness can guarantee a quantum efficiency higher than 70%.Therefore,the entire structure of the TES X-ray detector in this energy range can be realized using a microfabrication process.However,for X-rays or γ-rays from 10 keV to 200 keV,submillimeter absorber layers are required,which cannot be realized using the microfabrication process.This paper first briefly introduces a set of TES X-ray detectors and their auxiliary systems,and then focuses on the introduction of the TES γ-ray detector with an absorber based on a submillimeter lead-tin alloy sphere.The detector achieved a quantum efficiency above 70% near 100 keV and an energy resolution of approximately 161.5 eV at 59.5 keV.

Microstructural Evolution and Mechanical Properties of AZ31 Magnesium Alloy Prepared by Casting-solid Extrusion Forging During Partial Remelting

The casting-solid extrusion forging plus semi-solid partial remelting route is used to improve the properties of AZ31 magnesium alloy products.The effect of remelting temperature and holding time on the microstructure of AZ31 magnesium alloy is studied.Furthermore,the properties of AZ31 magnesium alloy components produced by the casting-solid extru.sion forging plus partial remelting route are examined.The results show that the AZ31 components have very good smooth surface and are formed completely.The increases in holding time and remelting temperature result in the formation of spheroidal grains surrounded by liquid phases.The best combination of properties of thixoforged alloy is290 MPa of tensile strength,220 MPa of yield strength and 10%of percentage elongation.

Performance-driven assignment and mapping for reliable networks-on-chips

Network-on-chip(NoC) communication architectures present promising solutions for scalable communication requests in large system-on-chip(SoC) designs. Intellectual property(IP) core assignment and mapping are two key steps in NoC design, significantly affecting the quality of NoC systems. Both are NP-hard problems, so it is necessary to apply intelligent algorithms. In this paper, we propose improved intelligent algorithms for NoC assignment and mapping to overcome the drawbacks of traditional intelligent algorithms. The aim of our proposed algorithms is to minimize power consumption, time, area, and load balance. This work involves multiple conflicting objectives, so we combine multiple objective optimization with intelligent algorithms. In addition, we design a fault-tolerant routing algorithm and take account of reliability using comprehensive performance indices. The proposed algorithms were implemented on embedded system synthesis benchmarks suite(E3S). Experimental results show the improved algorithms achieve good performance in NoC designs, with high reliability.