|
|
Gershenzon EM, Gol'tsman GN. Transitions of electrons between excited states of donors in germanium. JETP Lett. 1971;14(2):63–5.
|
|
|
|
Miller AJ, Lita AE, Calkins B, Vayshenker I, Gruber SM, Nam SW. Compact cryogenic self-aligning fiber-to-detector coupling with losses below one percent. Opt Express. 2011;19(10):9102–10.
Abstract: We present a compact packaging technique for coupling light from a single-mode telecommunication fiber to cryogenic single-photon sensitive devices. Our single-photon detectors are superconducting transition-edge sensors (TESs) with a collection area only a factor of a few larger than the area of the fiber core which presents significant challenges to low-loss fiber-to-detector coupling. The coupling method presented here has low loss, cryogenic compatibility, easy and reproducible assembly and low component cost. The system efficiency of the packaged single-photon counting detectors is verified by the “triplet method†of power-source calibration along with the “multiple attenuator†method that produces a calibrated single-photon flux. These calibration techniques, when used in combination with through-wafer imaging and fiber back-reflection measurements, give us confidence that we have achieved coupling losses below 1 % for all devices packaged according to the self-alignment method presented in this paper.
|
|
|
|
Galeazzi M. Fundamental noise processes in TES devices. IEEE Trans Appl Supercond. 2011;21(3):267–71.
Abstract: Microcalorimeters and bolometers are noise-limited devices, therefore, a proper understanding of all noise sources is essential to predict and interpret their performance. In this paper, I review the fundamental noise processes contributing to Transition Edge Sensor (TES) microcalorimeters and bolometers and their effect on device performance. In particular, I will start with a simple, monolithic device model, moving to a more complex one involving discrete components, to finally move to today's more realistic, comprehensive model. In addition to the basic noise contribution (equilibrium Johnson noise and phonon noise), TES are significantly affected by extra noise, which is commonly referred to as excess noise. Different fundamental processes have been proposed and investigated to explain the origin of this excess noise, in particular near equilibrium non-linear Johnson noise, flux-flow noise, and internal thermal fluctuation noise. Experimental evidence shows that all three processes are real and contribute, at different levels, to the TES noise, although different processes become important at different regimes. It is therefore time to discard the term “excess noise” and consider these terms part of the “fundamental noise processes” instead.
|
|
|
|
Gershenzon EM, Orlov LA, Ptitsina NG. Absorption spectra in electron transitions between excited states of impurities in germanium. JETP Lett. 1975;22(4):95–7.
|
|
|
|
Gershenzon EM, Gol'tsman GN, Ptitsyna NG. Carrier lifetime in excited states of shallow impurities in germanium. JETP Lett. 1977;25(12):539–43.
|
|
|
|
Manus MKM, Kash JA, Steen SE, Polonsky S, Tsang JC, Knebel DR, et al. PICA: Backside failure analysis of CMOS circuits using picosecond imaging circuit analysis. Microelectronics Reliability. 2000;40:1353–8.
Abstract: Normal operation of complementary metal-oxide semiconductor (CMOS) devices entails the emission of picosecond pulses of light, which can be used to diagnose circuit problems. The pulses that are observed from submicron sized field effect transistors (FETs) are synchronous with logic state switching. Picosecond Imaging Circuit Analysis (PICA), a new optical imaging technique combining imaging with timing, spatially resolves individual devices at the 0.5 micron level and switching events on a 10 picosecond timescale. PICA is used here for the diagnostics of failures on two VLSI microprocessors.
|
|
|
|
Gershenzon E, Goltsman G, Orlov L, Ptitsina N. Population of excited-states of small admixtures in germanium. In: Izv. Akad. Nauk SSSR, Seriya Fizicheskaya. Vol 42. Mezhdunarodnaya Kniga 39 Dimitrova Ul., 113095 Moscow, Russia; 1978. p. 1154–9.
|
|
|
|
Prober DE. Superconducting terahertz mixer using a transition-edge microbolometer. Appl Phys Lett. 1993;62(17):2119–21.
|
|
|
|
Hoevers HFC, Bento AC, Bruijn MP, Gottardi L, Korevaar MAN, Mels WA, et al. Thermal fluctuation noise in a voltage biased superconducting transition edge thermometer. Appl Phys Lett. 2000;77(26):4421–4.
Abstract: The current noise at the output of a microcalorimeter with a voltage biased superconducting transition edge thermometer is studied in detail. In addition to the two well-known noise sources: thermal fluctuation noise from the heat link to the bath and Johnson noise from the resistive thermometer, a third noise source strongly correlated with the steepness of the thermometer is required to fit the measured noise spectra. Thermal fluctuation noise, originating in the thermometer itself, fully explains the additional noise. A simple model provides quantitative agreement between the observed and calculated noise spectra for all bias points in the superconducting transition.
|
|
|
|
Steudle GA, Schietinger S, Höckel D, Dorenbos SN, Zadeh IE, Zwiller V, et al. Measuring the quantum nature of light with a single source and a single detector. Phys. Rev. A. 2012;86(5):053814.
Abstract: An elementary experiment in optics consists of a light source and a detector. Yet, if the source generates nonclassical correlations such an experiment is capable of unambiguously demonstrating the quantum nature of light. We realized such an experiment with a defect center in diamond and a superconducting detector. Previous experiments relied on more complex setups, such as the Hanbury Brown and Twiss configuration, where a beam splitter directs light to two photodetectors, creating the false impression that the beam splitter is a fundamentally required element. As an additional benefit, our results provide a simplification of the widely used photon-correlation techniques.
|
|
