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Neutrons are unique to diagnose materials and excite nuclear reactions with a large field of applications. For the first time a new ion acceleration mechanism (BOA) has been used to generate intense, directed neutron beams.
The rapid progress in high energy, high power, high intensity lasers has tremendously increased the power flux that can be delivered into plasmas. A compelling motivation for that is to drive ion accelerators that are increasingly compact and deliver higher particle currents, making them a suitable ignitor beam for inertial confinement fusion (ICF). Beyond the limits from electrical breakdown in conventional...
In this paper, a method to study and characterize a single-loop, cascaded and 1-bit Band-Pass Delta Sigma modulator for digital transmitter is presented. This technique is based on a combination of digital filter simulation and nonlinear optimization of signal-to-quantization noise. The optimal coefficients of modulator structure are achieved by minimization of a quadratic criterion based on prediction...
This article presents a new Low-Pass Delta Sigma Modulators (LPDS) architecture to improve the noise shaping for high frequency applications. The errors resulting from approximations made by calculating with 1/2N coefficients are compensated. Simulations with extracted parasitics of the layout are made and give a SNDR of 111 dB, 3.8 mW power consumption at 4 GHz in 65 nm CMOS technology for UMTS standard.
We present an active quenching application-specific integrated circuit (ASIC), for use in conjunction with InGaAs-InP avalanche photodiodes (APDs), for 1550-nm single-photon detection. To evaluate its performance, we first compare its operation with that of standard quenching electronics. We then test four InGaAs-InP APDs using the ASIC, operating both in the free-running and gated modes, to study...
In this paper, a new method to optimize the noise shape of a bandpass delta sigma (BPDS) modulator for a digital transmitter is presented. The optimal coefficients of BPDS structure are obtained by minimization of a quadratic criterion based on prediction error. To demonstrate the effectiveness of this approach, simulated results for a 6th order BPDS structure are presented.
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