models.roptics.distributed_bragg_reflector

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Optics Classification and Indexing Scheme (OCIS)The Optics Classification and Indexing Scheme (OCIS) provides a flexible, comprehensive classification system for all optical author input and user retrieval needs. OCIS has a two-level hierarchical structure containing 36 main headers and approximately 1100 subcategories. OSA authors, presenters, and reviewers use OCIS to classify and index journal articles, meeting abstracts and presentations, and areas of research interest and expertise.Suggestions for changes or additions can be sent to OCIS@.Main Categories000.0000 General010.0010 Atmospheric and oceanic optics 020.0020 Atomic and molecular physics 030.0030 Coherence and statistical optics 040.0040 Detectors050.0050 Diffraction and gratings 060.0060 Fiber optics and opticalcommunications070.0070 Fourier optics and signalprocessing080.0080 Geometric optics090.0090 Holography100.0100 Image processing 110.0110 Imaging systems120.0120 Instrumentation, measurement,and metrology130.0130 Integrated optics140.0140 Lasers and laser optics150.0150 Machine vision160.0160 Materials170.0170 Medical optics and biotechnology180.0180 Microscopy190.0190 Nonlinear optics200.0200 Optics in computing210.0210 Optical data storage220.0220 Optical design and fabrication230.0230 Optical devices240.0240 Optics at surfaces250.0250 Optoelectronics260.0260 Physical optics270.0270 Quantum optics280.0280 Remote sensing and sensors290.0290 Scattering300.0300 Spectroscopy310.0310 Thin films320.0320 Ultrafast optics330.0330 Vision, color, and visual optics340.0340 X-ray optics350.0350 Other areas of opticsComplete Listing000.0000 General000.1200 Announcements, awards, news,and organizational activities 000.1410 Biography000.1430 Biology and medicine000.1570 Chemistry000.1600 Classical and quantum physics 000.1780 Conferences, lectures, andinstitutes000.2060 Education000.2170 Equipment and techniques 000.2190 Experimental physics000.2658 Fundamental tests000.2690 General physics000.2700 General science000.2780 Gravity000.2850 History and philosophy000.3110 Instruments, apparatus, andcomponents common to thesciences000.3860 Mathematical methods in physics 000.3870 Mathematics000.4430 Numerical approximation andanalysis000.4895 OSA history000.4920 Other life sciences000.4930 Other topics of general interest 000.5360 Physics literature and publications 000.5490 Probability theory, stochasticprocesses, and statistics000.5920 Science and society000.6590 Statistical mechanics000.6800 Theoretical physics000.6850 Thermodynamics010.0010 Atmospheric and oceanic optics 010.0280 Remote sensing and sensors 010.1030 Absorption010.1080 Active or adaptive optics 010.1100 Aerosol detection010.1110 Aerosols010.1120 Air pollution monitoring010.1280 Atmospheric composition 010.1285 Atmospheric correction 010.1290 Atmospheric optics010.1300 Atmospheric propagation010.1310 Atmospheric scattering010.1320 Atmospheric transmittance010.1330 Atmospheric turbulence010.1350 Backscattering010.1615 Clouds010.1690 Color010.2940 Ice crystal phenomena010.3310 Laser beam transmission010.3640 Lidar010.3920 Meteorology010.4030 Mirages and refraction010.4450 Oceanic optics010.4455 Oceanic propagation010.4458 Oceanic scattering010.4950 Ozone010.5620 Radiative transfer010.5630 Radiometry010.7030 Troposphere010.7060 Turbulence010.7295 Visibility and imaging010.7340 Water010.7350 Wave-front sensing020.0020 Atomic and Molecular Physics020.1335 Atom optics020.1475 Bose-Einstein condensates020.1670 Coherent optical effects020.2070 Effects of collisions020.2649 Strong field laser physics020.2930 Hyperfine structure020.3260 Isotope shifts020.3320 Laser cooling020.3690 Line shapes and shifts020.4180 Multiphoton processes020.4900 Oscillator strengths020.5580 Quantum electrodynamics020.5780 Rydberg states020.6580 Stark effect020.7010 Laser trapping020.7490 Zeeman effect030.0030 Coherence and statistical optics030.1640 Coherence030.1670 Coherent optical effects030.4070 Modes030.4280 Noise in imaging systems030.5260 Photon counting030.5290 Photon statistics030.5620 Radiative transfer030.5630 Radiometry030.5770 Roughness030.6140 Speckle030.6600 Statistical optics030.6610 Stellar speckle interferometry030.7060 Turbulence040.0040 Detectors040.1240 Arrays040.1345 Avalanche photodiodes (APDs)040.1490 Cameras040.1520 CCD, charge-coupled device040.1880 Detection040.2235 Far infrared or terahertz040.2480 FLIR, forward-looking infrared040.2840 Heterodyne040.3060 Infrared040.3780 Low light level040.4200 Multiple quantum well040.5150 Photoconductivity040.5160 Photodetectors040.5190 Photographic film040.5250 Photomultipliers040.5350 Photovoltaic040.5570 Quantum detectors040.6040 Silicon040.6070 Solid state detectors040.6808 Thermal (uncooled) IR detectors,arrays and imaging040.7190 Ultraviolet040.7290 Video040.7480 X-rays, soft x-rays, extremeultraviolet (EUV)050.0050 Diffraction and gratings050.1220 Apertures050.1380 Binary optics050.1590 ChirpingOCIS 2007 – Page 1050.1755 Computational electromagneticmethods050.1930 Dichroism050.1940 Diffraction050.1950 Diffraction gratings050.1960 Diffraction theory050.1965 Diffractive lenses050.1970 Diffractive optics050.2065 Effective medium theory 050.2230 Fabry-Perot050.2555 Form birefringence050.2770 Gratings050.4865 Optical vortices050.5080 Phase shift050.5082 Phase space in wave options 050.5298 Photonic crystals050.5745 Resonance domain050.6624 Subwavelength structures 050.6875 Three-dimensional fabrication 050.7330 Volume gratings060.0060 Fiber optics and opticalcommunications060.1155 All-optical networks060.1660 Coherent communications 060.1810 Buffers, couplers, routers,switches, and multiplexers 060.2270 Fiber characterization060.2280 Fiber design and fabrication 060.2290 Fiber materials060.2300 Fiber measurements060.2310 Fiber optics060.2320 Fiber optics amplifiers andoscillators060.2330 Fiber optics communications 060.2340 Fiber optics components060.2350 Fiber optics imaging060.2360 Fiber optics links and subsystems 060.2370 Fiber optics sensors060.2380 Fiber optics sources and detectors 060.2390 Fiber optics, infrared060.2400 Fiber properties060.2410 Fibers, erbium060.2420 Fibers, polarization-maintaining 060.2430 Fibers, single-mode060.2605 Free-space optical communication 060.2630 Frequency modulation060.2800 Gyroscopes060.2840 Heterodyne060.2920 Homodyning060.3510 Lasers, fiber060.3735 Fiber Bragg gratings060.3738 Fiber Bragg gratings,photosensitivity060.4005 Microstructured fibers060.4080 Modulation060.4230 Multiplexing060.4250 Networks060.4251 Networks, assignment and routing algorithms060.4252 Networks, broadcast060.4253 Networks, circuit-switched 060.4254 Networks, combinatorial networkdesign060.4255 Networks, multicast060.4256 Networks, network optimization 060.4257 Networks, network survivability 060.4258 Networks, network topology 060.4259 Networks, packet-switched 060.4261 Networks, protection andrestoration060.4262 Networks, ring060.4263 Networks, star060.4264 Networks, wavelength assignment 060.4265 Networks, wavelength routing060.4370 Nonlinear optics, fibers060.4510 Optical communications060.4785 Optical security and encryption060.5060 Phase modulation060.5295 Photonic crystal fibers060.5530 Pulse propagation and temporalsolitons060.5565 Quantum communications060.5625 Radio frequency photonics060.6718 Switching, circuit060.6719 Switching, packet060.7140 Ultrafast processes in fibers070.0070 Fourier optics and signalprocessing070.1060 Acousto-optical signal processing070.1170 Analog optical signal processing070.1675 Coherent states (in wave optics)070.2025 Discrete optical signal processing070.2465 Finite analogs of Fouriertransforms070.2575 Fractional Fourier transforms070.2580 Paraxial wave optics070.2590 ABCD transforms070.2615 Frequency filtering070.3185 Invariant optical fields070.4340 Nonlinear optical signalprocessing070.4550 Correlators070.4560 Data processing by optical means070.4690 Morphological transformations070.4790 Spectrum analysis070.5010 Pattern recognition070.5040 Phase conjugation070.5753 Resonators070.6020 Continuous optical signalprocessing070.6110 Spatial filtering070.6120 Spatial light modulators070.6760 Talbot and self-imaging effects070.7145 Ultrafast processing070.7345 Wave propagation070.7425 Quasi-probability distributionfunctions080.0080 Geometric optics080.1005 Aberration expansions080.1010 Aberrations (global)080.1235 Apparent images080.1238 Array waveguide devices080.1510 Propagation methods080.1665 Coherent design080.1753 Computation methods080.2175 Etendue080.2203 Fabrication, electroforming080.2205 Fabrication, injection molding080.2208 Fabrication, tolerancing080.2468 First-order optics080.2575 Fractional Fourier transforms080.2710 Inhomogeneous optical media080.2720 Mathematical methods (general)080.2730 Matrix methods in paraxial optics080.2740 Geometric optical design080.3095 Inhomogeneous elements inoptical systems080.3620 Lens system design080.3630 Lenses080.3645 Lie algebraic and group methods080.3685 Lightpipes080.3875 Matrix methods in metaxialexpansions080.4035 Mirror system design080.4225 Nonspherical lens design080.4228 Nonspherical mirror surfaces080.4295 Nonimaging optical systems080.4298 Nonimaging optics080.4865 Optical vortices080.5084 Phase space methods of analysis080.5692 Ray trajectories ininhomogeneous media080.6755 Systems with special symmetry080.7343 Wave dressing of rays090.0090 Holography090.1000 Aberration compensation090.1705 Color holography090.1760 Computer holography090.1970 Diffractive optics090.1995 Digital holography090.2645 Stratified volume holograms090.2820 Heads-up displays090.2870 Holographic display090.2880 Holographic interferometry090.2890 Holographic optical elements090.2900 Optical storage materials090.2910 Holography, microwave090.4220 Multiplex holography090.5640 Rainbow holography090.5694 Real-time holography090.6186 Spectral holography090.7330 Volume gratings100.0100 Image processing100.0118 Imaging ultrafast phenomena100.1160 Analog optical image processing100.1390 Binary phase-only filters100.1455 Blind deconvolution100.1830 Deconvolution100.1930 Dichroism100.2000 Digital image processing100.2550 Focal-plane-array imageprocessors100.2650 Fringe analysis100.2810 Halftone image reproduction100.2960 Image analysis100.2980 Image enhancement100.3005 Image recognition devices100.3008 Image recognition, algorithms andfilters100.3010 Image reconstruction techniques100.3020 Image reconstruction-restoration100.3175 Interferometric imaging100.3190 Inverse problems100.3200 Inverse scattering100.4145 Motion, hyperspectral imageprocessing100.4550 Correlators100.4992 Pattern, nonlinear correlators100.4993 Pattern recognition, Baysianprocessors100.4994 Pattern recognition, imagetransforms100.4995 Pattern recognition, metrics100.4996 Pattern recognition, neuralnetworks100.4997 Pattern recognition, nonlinearspatial filters100.4998 Pattern recognition, opticalsecurity and encryption100.4999 Pattern recognition, targettracking100.5010 Pattern recognition100.5070 Phase retrieval100.5088 Phase unwrapping100.5090 Phase-only filters100.5760 Rotation-invariant patternrecognitionOCIS 2007 – Page 2100.6640 Superresolution100.6740 Synthetic discrimination functions 100.6890 Three-dimensional imageprocessing100.6950 Tomographic image processing 100.7410 Wavelets110.0110 Imaging systems110.0113 Imaging through turbid media 110.0115 Imaging through turbulent media 110.0180 Microscopy110.1080 Active or adaptive optics110.1085 Adaptive imaging110.1220 Apertures110.1455 Blind deconvolution110.1650 Coherence imaging110.1758 Computational imaging110.2350 Fiber optics imaging110.2650 Fringe analysis110.2760 Gradient-index lenses110.2945 Illumination design110.2960 Image analysis110.2970 Image detection systems110.2990 Image formation theory110.3000 Image quality assessment 110.3010 Image reconstruction techniques 110.3055 Information theoretical analysis 110.3080 Infrared imaging110.3175 Interferometric imaging110.3200 Inverse scattering110.3925 Metrics110.3960 Microlithography110.4100 Modulation transfer function 110.4153 Motion estimation and opticalflow110.4155 Multiframe image processing 110.4190 Multiple imaging110.4234 Multispectral and hyperspectralimaging110.4235 Nanolithography110.4248 Networked imaging110.4280 Noise in imaging systems 110.4500 Optical coherence tomography 110.4850 Optical transfer functions 110.4980 Partial coherence in imaging 110.5086 Phase unwrapping110.5100 Phased-array imaging systems 110.5120 Photoacoutic imaging110.5125 Photoacoustics110.5200 Photography110.5220 Photolithography110.5405 Polarimetric imaging110.6150 Speckle imaging110.6760 Talbot and self-imaging effects 110.6770 Telescopes110.6795 Terahertz imaging110.6820 Thermal imaging110.6880 Three-dimensional imageacquisition110.6895 Three-dimensional lithography 110.6915 Time imaging110.6955 Tomographic imaging110.6960 Tomography110.6980 Transforms110.7050 Turbid media110.7170 Ultrasound110.7348 Wavefront encoding110.7410 Wavelets110.7440 X-ray imaging120.0120 Instrumentation, measurement, and metrology120.0280 Remote sensing and sensors 120.1088 Adaptive interferometry 120.1680 Collimation120.1740 Combustion diagnostics120.1840 Densitometers, reflectometers120.1880 Detection120.2040 Displays120.2130 Ellipsometry and polarimetry120.2230 Fabry-Perot120.2440 Filters120.2650 Fringe analysis120.2820 Heads-up displays120.2830 Height measurements120.2880 Holographic interferometry120.2920 Homodyning120.3150 Integrating spheres120.3180 Interferometry120.3620 Lens system design120.3688 Lightwave analyzers120.3890 Medical optics instrumentation120.3930 Metrological instrumentation120.3940 Metrology120.4120 Moire' techniques120.4140 Monochromators120.4290 Nondestructive testing120.4530 Optical constants120.4570 Optical design of instruments120.4610 Optical fabrication120.4630 Optical inspection120.4640 Optical instruments120.4800 Optical standards and testing120.4820 Optical systems120.4825 Optical time domainreflectometry120.4880 Optomechanics120.5050 Phase measurement120.5060 Phase modulation120.5240 Photometry120.5410 Polarimetry120.5475 Pressure measurement120.5630 Radiometry120.5700 Reflection120.5710 Refraction120.5790 Sagnac effect120.5800 Scanners120.5820 Scattering measurements120.6085 Space instrumentation120.6150 Speckle imaging120.6160 Speckle interferometry120.6165 Speckle interferometry,metrology120.6168 Speckle interferometry, stellar120.6200 Spectrometers and spectroscopicinstrumentation120.6650 Surface measurements, figure120.6660 Surface measurements, roughness120.6710 Susceptibility120.6780 Temperature120.6810 Thermal effects120.7000 Transmission120.7250 Velocimetry120.7280 Vibration analysis130.0130 Integrated optics130.0250 Optoelectronics130.1750 Components130.2035 Dispersion compensation devices130.2260 Ferroelectrics130.2755 Glass waveguides130.2790 Guided waves130.3060 Infrared130.3120 Integrated optics devices130.3130 Integrated optics materials130.3730 Lithium niobate130.3750 Optical logic devices130.3990 Micro-optical devices130.4110 Modulators130.4310 Nonlinear130.4815 Optical switching devices130.5296 Photonic crystal waveguides130.5440 Polarization-selective devices130.5460 Polymer waveguides130.5990 Semiconductors130.6010 Sensors130.6622 Subsystem integration andtechniques130.6750 Systems130.7405 Wavelength conversion devices130.7408 Wavelength filtering devices140.0140 Lasers and laser optics140.1340 Atomic gas lasers140.1540 Chaos140.1550 Chemical lasers140.1700 Color center lasers140.2010 Diode laser arrays140.2020 Diode lasers140.2050 Dye lasers140.2180 Excimer lasers140.2600 Free-electron lasers (FELs)140.3070 Infrared and far-infrared lasers140.3210 Ion lasers140.3280 Laser amplifiers140.3290 Laser arrays140.3295 Laser beam characterization140.3298 Laser beam combining140.3300 Laser beam shaping140.3320 Laser cooling140.3325 Laser coupling140.3330 Laser damage140.3360 Laser safety and eye protection140.3370 Laser gyroscopes140.3380 Laser materials140.3390 Laser materials processing140.3410 Laser resonators140.3425 Laser stabilization140.3430 Laser theory140.3440 Laser-induced breakdown140.3450 Laser-induced chemistry140.3460 Lasers140.3470 Lasers, carbon dioxide140.3480 Lasers, diode-pumped140.3490 Lasers, distributed-feedback140.3500 Lasers, erbium140.3510 Lasers, fiber140.3515 Lasers, frequency doubled140.3518 Lasers, frequency modulated140.3520 Lasers, injection-locked140.3530 Lasers, neodymium140.3535 Lasers, phase conjugate140.3538 Lasers, pulsed140.3540 Lasers, Q-switched140.3550 Lasers, Raman140.3560 Lasers, ring140.3570 Lasers, single-mode140.3580 Lasers, solid-state140.3590 Lasers, titanium140.3600 Lasers, tunable140.3610 Lasers, ultraviolet140.3613 Lasers, upconversion140.3615 Lasers, ytterbium140.3945 Microcavities140.3948 Microcavity devices140.4050 Mode-locked lasers140.4130 Molecular gas lasers140.4480 Optical amplifiers140.4780 Optical resonators140.5560 Pumping140.5680 Rare earth and transition metalsolid-state lasersOCIS 2007 – Page 3140.5960 Semiconductor lasers140.5965 Semiconductor lasers, quantumcascade140.6630 Superradiance, superfluorescence 140.6810 Thermal effects140.7010 Laser trapping140.7090 Ultrafast lasers140.7215 Undulator radiation140.7240 UV, EUV, and X-ray lasers 140.7260 Vertical cavity surface emittinglasers140.7270 Vertical emitting lasers 140.7300 Visible lasers150.0150 Machine vision150.0155 Machine vision optics150.1135 Algorithms150.1488 Calibration150.1708 Color inspection150.1835 Defect understanding150.2945 Illumination design150.2950 Illumination150.3040 Industrial inspection150.3045 Industrial optical metrology 150.4065 Vision processor architecture 150.4232 Multisensor methods150.4620 Optical flow150.5495 Process monitoring and control 150.5670 Range finding150.5758 Robotic and machine control 150.6044 Smart cameras150.6910 Three-dimensional sensing160.0160 Materials160.1050 Acousto-optical materials 160.1190 Anisotropic optical materials 160.1245 Artificially engineered materials 160.1435 Biomaterials160.1585 Chiral media160.1890 Detector materials160.2100 Electro-optical materials 160.2120 Elements160.2220 Defect-center materials 160.2260 Ferroelectrics160.2290 Fiber materials160.2540 Fluorescent and luminescentmaterials160.2710 Inhomogeneous optical media 160.2750 Glass and other amorphousmaterials160.2900 Optical storage materials 160.3130 Integrated optics materials 160.3220 Ionic crystals160.3380 Laser materials160.3710 Liquid crystals160.3730 Lithium niobate160.3820 Magneto-optical materials 160.3900 Metals160.3918 Metamaterials160.4236 Nanomaterials160.4330 Nonlinear optical materials 160.4670 Optical materials160.4760 Optical properties160.4890 Organic materials160.5140 Photoconductive materials 160.5293 Photonic bandgap materials 160.5298 Photonic crystals160.5320 Photorefractive materials 160.5335 Photosensitive materials 160.5470 Polymers160.5690 Rare-earth-doped materials 160.6000 Semiconductor materials 160.6030 Silica160.6060 Solgel 160.6840 Thermo-optical materials160.6990 Transition-metal-doped materials170.0170 Medical optics andbiotechnology170.0110 Imaging systems170.0180 Microscopy170.1020 Ablation of tissue170.1065 Acousto-optics170.1420 Biology170.1460 Blood gas monitoring170.1470 Blood or tissue constituentmonitoring170.1530 Cell analysis170.1580 Chemometrics170.1610 Clinical applications170.1630 Coded aperture imaging170.1650 Coherence imaging170.1790 Confocal microscopy170.1850 Dentistry170.1870 Dermatology170.2150 Endoscopic imaging170.2520 Fluorescence microscopy170.2655 Functional monitoring andimaging170.2670 Gamma ray imaging170.2680 Gastrointestinal170.2945 Illumination design170.3010 Image reconstruction techniques170.3340 Laser Doppler velocimetry170.3650 Lifetime-based sensing170.3660 Light propagation in tissues170.3830 Mammography170.3880 Medical and biological imaging170.3890 Medical optics instrumentation170.4090 Modulation techniques170.4440 ObGyn170.4460 Ophthalmic optics and devices170.4470 Ophthalmology170.4500 Optical coherence tomography170.4520 Optical confinement andmanipulation170.4580 Optical diagnostics for medicine170.4730 Optical pathology170.4940 Otolaryngology170.5120 Photoacoustic imaging170.5180 Photodynamic therapy170.5270 Photon density waves170.5280 Photon migration170.5380 Physiology170.5660 Raman spectroscopy170.5755 Retina scanning170.5810 Scanning microscopy170.6280 Spectroscopy, fluorescence andluminescence170.6480 Spectroscopy, speckle170.6510 Spectroscopy, tissue diagnostics170.6795 Terahertz imaging170.6900 Three-dimensional microscopy170.6920 Time-resolved imaging170.6930 Tissue170.6935 Tissue characterization170.6940 Tissue welding170.6960 Tomography170.7050 Turbid media170.7160 Ultrafast technology170.7170 Ultrasound170.7180 Ultrasound diagnostics170.7230 Urology170.7440 X-ray imaging180.0180 Microscopy180.1655 Coherence tomography180.1790 Confocal microscopy180.2520 Fluorescence microscopy180.3170 Interference microscopy180.4243 Near-field microscopy180.4315 Nonlinear microscopy180.5655 Raman microscopy180.5810 Scanning microscopy180.6900 Three-dimensional microscopy180.7460 X-ray microscopy190.0190 Nonlinear optics190.1450 Bistability190.1900 Diagnostic applications ofnonlinear optics190.2055 Dynamic gratings190.2620 Harmonic generation and mixing190.2640 Stimulated scattering, modulation,etc.190.3100 Instabilities and chaos190.3270 Kerr effect190.3970 Microparticle nonlinear optics190.4160 Multiharmonic generation190.4180 Multiphoton processes190.4223 Nonlinear wave mixing190.4350 Nonlinear optics at surfaces190.4360 Nonlinear optics, devices190.4370 Nonlinear optics, fibers190.4380 Nonlinear optics, four-wavemixing190.4390 Nonlinear optics, integrated optics190.4400 Nonlinear optics, materials190.4410 Nonlinear optics, parametricprocesses190.4420 Nonlinear optics, transverseeffects in190.4710 Optical nonlinearities in organicmaterials190.4720 Optical nonlinearities ofcondensed matter190.4870 Photothermal effects190.4970 Parametric oscillators andamplifiers190.4975 Parametric processes190.5040 Phase conjugation190.5330 Photorefractive optics190.5530 Pulse propagation and temporalsolitons190.5650 Raman effect190.5890 Scattering, stimulated190.5940 Self-action effects190.5970 Semiconductor nonlinear opticsincluding MQW190.6135 Spatial solitons190.7070 Two-wave mixing190.7110 Ultrafast nonlinear optics190.7220 Upconversion200.0200 Optics in computing200.1130 Algebraic optical processing200.2605 Free-space optical communication200.2610 Free-space digital optics200.3050 Information processing200.3760 Logic-based optical processing200.4260 Neural networks200.4490 Optical buffers200.4540 Optical content addressablememory processors200.4560 Optical data processing200.4650 Optical interconnects200.4660 Optical logic200.4690 Morphological transformations200.4700 Optical neural systems200.4740 Optical processing200.4860 Optical vector-matrix systems200.4880 OptomechanicsOCIS 2007 – Page 4200.4960 Parallel processing200.6015 Signal regeneration200.6046 Smart pixel systems200.6715 Switching210.0210 Optical data storage210.1635 Coding for optical storage 210.2860 Holographic and volumememories210.3810 Magneto-optic systems210.3820 Magneto-optical materials 210.4245 Near-field optical recording 210.4590 Optical disks210.4680 Optical memories210.4770 Optical recording210.4810 Optical storage-recordingmaterials210.4965 Parallel readout220.0220 Optical design and fabrication 220.1000 Aberration compensation 220.1010 Aberrations (global)220.1080 Active or adaptive optics 220.1140 Alignment220.1230 Apodization220.1250 Aspherics220.1770 Concentrators220.1920 Diamond machining220.2560 Propagating methods220.2740 Geometric optical design 220.2945 Illumination design220.3620 Lens system design220.3630 Lenses220.3740 Lithography220.4000 Microstructure fabrication 220.4241 Nanostructure fabrication 220.4298 Nonimaging optics220.4610 Optical fabrication220.4830 Systems design220.4840 Testing220.4880 Optomechanics220.5450 Polishing230.0230 Optical devices230.0040 Detectors230.0250 Optoelectronics230.1040 Acousto-optical devices230.1150 All-optical devices230.1360 Beam splitters230.1480 Bragg reflectors230.1950 Diffraction gratings230.1980 Diffusers230.2035 Dispersion compensation devices 230.2090 Electro-optical devices230.2240 Faraday effect230.2285 Fiber devices and opticalamplifiers230.3120 Integrated optics devices 230.3205 Invisibility cloaks230.3240 Isolators230.3670 Light-emitting diodes230.3720 Liquid-crystal devices230.3750 Optical logic devices230.3810 Magneto-optic systems230.3990 Micro-optical devices230.4000 Microstructure fabrication 230.4040 Mirrors230.4110 Modulators230.4170 Multilayers230.4205 Multiple quantum well (MQW)modulators230.4320 Nonlinear optical devices 230.4480 Optical amplifiers230.4555 Coupled resonators 230.4685 Optical microelectromechanicaldevices230.4910 Oscillators230.5160 Photodetectors230.5170 Photodiodes230.5298 Photonic crystals230.5440 Polarization-selective devices230.5480 Prisms230.5590 Quantum-well, -wire and -dotdevices230.5750 Resonators230.6046 Smart pixel systems230.6080 Sources230.6120 Spatial light modulators230.7020 Traveling-wave devices230.7370 Waveguides230.7380 Waveguides, channeled230.7390 Waveguides, planar230.7400 Waveguides, slab230.7405 Wavelength conversion devices230.7408 Wavelength filtering devices240.0240 Optics at surfaces240.0310 Thin films240.1485 Buried interfaces240.2130 Ellipsometry and polarimetry240.3695 Linear and nonlinear lightscattering from surfaces240.3990 Micro-optical devices240.4350 Nonlinear optics at surfaces240.5420 Polaritons240.5440 Polarization-selective devices240.5450 Polishing240.5698 Reflectance anisotropyspectroscopy240.5770 Roughness240.6380 Spectroscopy, modulation240.6490 Spectroscopy, surface240.6645 Surface differential reflectance240.6648 Surface dynamics240.6670 Surface photochemistry240.6675 Surface photoemission andphotoelectron spectroscopy240.6680 Surface plasmons240.6690 Surface waves240.6695 Surface-enhanced Ramanscattering240.6700 Surfaces240.7040 Tunneling250.0250 Optoelectronics250.0040 Detectors250.1345 Avalanche photodiodes (APDs)250.1500 Cathodoluminescence250.2080 Polymer active devices250.3140 Integrated optoelectronic circuits250.3680 Light-emitting polymers250.3750 Optical logic devices250.4110 Modulators250.4390 Nonlinear optics, integrated optics250.4480 Optical amplifiers250.4745 Optical processing devices250.5230 Photoluminescence250.5300 Photonic integrated circuits250.5403 Plasmonics250.5460 Polymer waveguides250.5530 Pulse propagation and temporalsolitons250.5590 Quantum-well, -wire and -dotdevices250.5960 Semiconductor lasers250.5980 Semiconductor optical amplifiers250.6715 Switching250.7260 Vertical cavity surface emittinglasers250.7270 Vertical emitting lasers250.7360 Waveguide modulators260.0260 Physical optics260.1180 Crystal optics260.1440 Birefringence260.1560 Chemiluminescence260.1960 Diffraction theory260.2030 Dispersion260.2065 Effective medium theory260.2110 Electromagnetic optics260.2130 Ellipsometry and polarimetry260.2160 Energy transfer260.2510 Fluorescence260.2710 Inhomogeneous optical media260.3060 Infrared260.3090 Infrared, far260.3160 Interference260.3230 Ionization260.3800 Luminescence260.3910 Metal optics260.5130 Photochemistry260.5150 Photoconductivity260.5210 Photoionization260.5430 Polarization260.5740 Resonance260.5950 Self-focusing260.6042 Singular optics260.6048 Soft x-rays260.6580 Stark effect260.6970 Total internal reflection260.7120 Ultrafast phenomena260.7190 Ultraviolet260.7200 Ultraviolet, extreme260.7210 Ultraviolet, vacuum260.7490 Zeeman effect270.0270 Quantum optics270.1670 Coherent optical effects270.2500 Fluctuations, relaxations, andnoise270.3100 Instabilities and chaos270.3430 Laser theory270.4180 Multiphoton processes270.5290 Photon statistics270.5530 Pulse propagation and temporalsolitons270.5565 Quantum communications270.5568 Quantum cryptography270.5570 Quantum detectors270.5580 Quantum electrodynamics270.5585 Quantum information andprocessing270.6570 Squeezed states270.6620 Strong-field processes270.6630 Superradiance, superfluorescence280.0280 Remote sensing and sensors280.1100 Aerosol detection280.1120 Air pollution monitoring280.1310 Atmospheric scattering280.1350 Backscattering280.1355 Bathymetry280.1415 Biological sensing and sensors280.1545 Chemical analysis280.1740 Combustion diagnostics280.1910 DIAL, differential absorptionlidar280.2470 Flames280.2490 Flow diagnostics280.3340 Laser Doppler velocimetry280.3375 Laser induced ultrasonicsOCIS 2007 – Page 5。

the following section assignments of model -回复

the following section assignments of model -回复

the following section assignments of model -回复The section assignments of the model refer to the specific tasks or responsibilities assigned to different parts or components of the model. These assignments help in ensuring an organized and efficient functioning of the model. In this article, we will provide a step-by-step explanation of each section assignment of the model, elaborating on their importance and how they contribute to the overall operation.1. Data collection and preprocessing:The first assignment deals with collecting relevant data for the model and preparing it for analysis. This involves identifying the sources of data, ensuring its quality and reliability, and converting it into a suitable format for further analysis. Proper data collection and preprocessing are crucial for the accuracy and effectiveness of the model.2. Feature selection and engineering:In this assignment, the focus is on selecting the most relevant features or variables for the model and engineering new features if required. Feature selection helps in reducing the dimensionality of the data and improving the model's efficiency. Feature engineering involves creating new features by combining or transformingexisting ones to capture additional information or patterns.3. Model building and training:The next assignment involves building the actual model using the selected features and training it on the prepared dataset. This step includes selecting the appropriate algorithms and techniques based on the problem at hand and the available data. The model is trained using labeled data to learn the underlying patterns and relationships.4. Model evaluation and validation:Once the model is trained, it needs to be evaluated to assess its performance and validity. This assignment involves various metrics and techniques to evaluate the model's accuracy, precision, recall, and other relevant parameters. Cross-validation techniques are often used to validate the model's generalizability and robustness.5. Model optimization and tuning:In this assignment, the focus is on improving the model's performance by optimizing its parameters and tuning the algorithms used. Different optimization techniques such as grid search or Bayesian optimization can be employed to identify the optimal set of hyperparameters for the model. This step involves experimentation and fine-tuning to achieve the best possible results.6. Model deployment and integration:The penultimate assignment deals with deploying the trained model into a production environment where it can be utilized for real-time predictions or decision-making. This step involves integrating the model with existing systems, creating relevant APIs or interfaces, and ensuring its compatibility and scalability. Continuous monitoring and maintenance are also essential to ensure the model's ongoing performance and accuracy.7. Model interpretation and communication:The final assignment focuses on interpreting and communicating the model's results and findings to stakeholders and decision-makers. This step involves translating complex technical jargon into easily understandable insights and recommendations. Visualization techniques and storytelling methods can be employed to effectively communicate the model's outcomes and implications.In conclusion, the section assignments of the model encompass a series of steps that collectively form a comprehensive approach to data analysis and modeling. Each assignment plays a crucial role in ensuring the model's accuracy, efficiency, and usability. By following these assignments in a systematic manner,organizations can harness the power of data and make informed decisions that drive growth and success.。

fluent中专业词汇翻译

fluent中专业词汇翻译

GridRead 读取文件:scheme 方案 journal 日志 profile 外形 Write 保存文件Import :进入另一个运算程序 Interpolate :窜改,插入 Hardcopy : 复制, Batch options 一组选项 Save layout 保存设计Check 检查Info 报告:size 尺寸 ;memory usage 内存使用情况;zones 区域 ;partitions 划分存储区 Polyhedral 多面体:Convert domain 变换范围 Convert skewed cells 变换倾斜的单元 Merge 合并 Separate 分割Fuse (Merge 的意思是将具有相同条件的边界合并成一个;Fuse 将两个网格完全贴合的边界融合成内部(interior)来处理,比如叶轮机中,计算多个叶片时,只需生成一个叶片通道网格,其他通过复制后,将重合的周期边界Fuse 掉就行了。

注意两个命令均为不可逆操作,在进行操作时注意保存case)Zone 区域: append case file 添加case 文档 Replace 取代;delete 删除;deactivate 使复位;Surface mesh 表面网孔Reordr 追加,添加:Domain 范围;zones 区域; Print bandwidth 打印 Scale 单位变换 Translate 转化Rotate 旋转 smooth/swap 光滑/交换Models 模型:solver 解算器Pressure based 基于压力density based 基于密度implicit 隐式,explicit 显示Space 空间:2D,axisymmetric(转动轴),axisymmetric swirl (漩涡转动轴);Time时间:steady 定常,unsteady 非定常Velocity formulation 制定速度:absolute绝对的;relative 相对的Gradient option 梯度选择:以单元作基础;以节点作基础;以单元作梯度的最小正方形。

物理学名词

物理学名词

1/4波片quarter-wave plateCG矢量耦合系数Clebsch-Gordan vector coupling coefficient; 简称“CG[矢耦]系数”。

X射线摄谱仪X-ray spectrographX射线衍射X-ray diffractionX射线衍射仪X-ray diffractometer[玻耳兹曼]H定理[Boltzmann] H-theorem[玻耳兹曼]H函数[Boltzmann] H-function[彻]体力body force[冲]击波shock wave[冲]击波前shock front[狄拉克]δ函数[Dirac] δ-function[第二类]拉格朗日方程Lagrange equation[电]极化强度[electric] polarization[反射]镜mirror[光]谱线spectral line[光]谱仪spectrometer[光]照度illuminance[光学]测角计[optical] goniometer[核]同质异能素[nuclear] isomer[化学]平衡常量[chemical] equilibrium constant[基]元电荷elementary charge[激光]散斑speckle[吉布斯]相律[Gibbs] phase rule[可]变形体deformable body[克劳修斯-]克拉珀龙方程[Clausius-] Clapeyron equation[量子]态[quantum] state[麦克斯韦-]玻耳兹曼分布[Maxwell-]Boltzmann distribution[麦克斯韦-]玻耳兹曼统计法[Maxwell-]Boltzmann statistics[普适]气体常量[universal] gas constant[气]泡室bubble chamber[热]对流[heat] convection[热力学]过程[thermodynamic] process[热力学]力[thermodynamic] force[热力学]流[thermodynamic] flux[热力学]循环[thermodynamic] cycle[事件]间隔interval of events[微观粒子]全同性原理identity principle [of microparticles][物]态参量state parameter, state property[相]互作用interaction[相]互作用绘景interaction picture[相]互作用能interaction energy[旋光]糖量计saccharimeter[指]北极north pole, N pole[指]南极south pole, S pole[主]光轴[principal] optical axis[转动]瞬心instantaneous centre [of rotation][转动]瞬轴instantaneous axis [of rotation]t 分布student's t distributiont 检验student's t testK俘获K-captureS矩阵S-matrixWKB近似WKB approximationX射线X-rayΓ空间Γ-spaceα粒子α-particleα射线α-rayα衰变α-decayβ射线β-rayβ衰变β-decayγ矩阵γ-matrixγ射线γ-rayγ衰变γ-decayλ相变λ-transitionμ空间μ-spaceχ 分布chi square distributionχ 检验chi square test阿贝不变量Abbe invariant阿贝成象原理Abbe principle of image formation阿贝折射计Abbe refractometer阿贝正弦条件Abbe sine condition阿伏伽德罗常量Avogadro constant阿伏伽德罗定律Avogadro law阿基米德原理Archimedes principle阿特伍德机Atwood machine艾里斑Airy disk爱因斯坦-斯莫卢霍夫斯基理论Einstein-Smoluchowski theory 爱因斯坦场方程Einstein field equation爱因斯坦等效原理Einstein equivalence principle爱因斯坦关系Einstein relation爱因斯坦求和约定Einstein summation convention爱因斯坦同步Einstein synchronization爱因斯坦系数Einstein coefficient安[培]匝数ampere-turns安培[分子电流]假说Ampere hypothesis安培定律Ampere law安培环路定理Ampere circuital theorem安培计ammeter安培力Ampere force安培天平Ampere balance昂萨格倒易关系Onsager reciprocal relation凹面光栅concave grating凹面镜concave mirror凹透镜concave lens奥温电桥Owen bridge巴比涅补偿器Babinet compensator巴耳末系Balmer series白光white light摆pendulum板极plate伴线satellite line半波片halfwave plate半波损失half-wave loss半波天线half-wave antenna半导体semiconductor半导体激光器semiconductor laser半衰期half life period半透[明]膜semi-transparent film半影penumbra半周期带half-period zone傍轴近似paraxial approximation傍轴区paraxial region傍轴条件paraxial condition薄膜干涉film interference薄膜光学film optics薄透镜thin lens保守力conservative force保守系conservative system饱和saturation饱和磁化强度saturation magnetization本底background本体瞬心迹polhode本影umbra本征函数eigenfunction本征频率eigenfrequency本征矢[量] eigenvector本征振荡eigen oscillation本征振动eigenvibration本征值eigenvalue本征值方程eigenvalue equation比长仪comparator比荷specific charge; 又称“荷质比(charge-mass ratio)”。

LDAvis 0.3.2 用户手册说明书

LDAvis 0.3.2 用户手册说明书

Package‘LDAvis’October12,2022Title Interactive Visualization of Topic ModelsVersion0.3.2Description Tools to create an interactive web-based visualization of atopic model that has beenfit to a corpus of text data usingLatent Dirichlet Allocation(LDA).Given the estimated parameters ofthe topic model,it computes various summary statistics as input toan interactive visualization built with D3.js that is accessed viaa browser.The goal is to help users interpret the topics in theirLDA topic model.Depends R(>=2.10)Imports proxy,RJSONIO,parallelLicense MIT+file LICENSESuggests mallet,lda,topicmodels,gistr(>=0.0.8.99),servr,shiny,knitr,rmarkdown,digest,htmltoolsLazyData trueVignetteBuilder knitrURL https:///cpsievert/LDAvisBugReports https:///cpsievert/LDAvis/issuesNeedsCompilation noAuthor Carson Sievert[aut,cre],Kenny Shirley[aut]Maintainer Carson Sievert<********************>Repository CRANDate/Publication2015-10-2408:21:16R topics documented:createJSON (2)jsPCA (4)renderVis (5)1runShiny (5)serVis (6)TwentyNewsgroups (7)visOutput (8)Index9 createJSON Create the JSON object to read into the javascript visualizationDescriptionThis function creates the JSON object that feeds the visualization template.For a more detailed overview,see vignette("details",package="LDAvis")UsagecreateJSON(phi=matrix(),theta=matrix(),doc.length=integer(),vocab=character(),term.frequency=integer(),R=30,lambda.step=0.01,mds.method=jsPCA,cluster,plot.opts=list(xlab="PC1",ylab="PC2"),...)Argumentsphi matrix,with each row containing the distribution over terms for a topic,with as many rows as there are topics in the model,and as many columns as there areterms in the vocabulary.theta matrix,with each row containing the probability distribution over topics for a document,with as many rows as there are documents in the corpus,and as manycolumns as there are topics in the model.doc.length integer vector containing the number of tokens in each document of the corpus.vocab character vector of the terms in the vocabulary(in the same order as the columns of phi).Each term must have at least one character.term.frequency integer vector containing the frequency of each term in the vocabulary.R integer,the number of terms to display in the barcharts of the interactive viz.Default is30.Recommended to be roughly between10and50.lambda.step a value between0and1.Determines the interstep distance in the grid of lambda values over which to iterate when computing relevance.Default is0.01.Rec-ommended to be between0.01and0.1.mds.method a function that takes phi as an input and outputs a K by2data.frame(or matrix).The output approximates the distance between topics.See jsPCA for details onthe default method.cluster a cluster object created from the parallel package.If supplied,computations are performed using parLapply instead of lapply.plot.opts a named list used to customize various plot elements.By default,the x and y axes are labeled"PC1"and"PC2"(principal components1and2),since jsPCAis the default scaling method....not currently used.DetailsThe functionfirst computes the topic frequencies(across the whole corpus),and then it reorders the topics in decreasing order of frequency.The main computation is to loop through the topics and through the grid of lambda values(determined by lambda.step)to compute the R most relevant terms for each topic and value of lambda.ValueA string containing JSON content which can be written to afile or feed into serVis for easy view-ing/sharing.One element of this string is the new ordering of the topics.ReferencesSievert,C.and Shirley,K.(2014)LDAvis:A Method for Visualizing and Interpreting Topics, ACL Workshop on Interactive Language Learning,Visualization,and Interfaces.http://nlp./events/illvi2014/papers/sievert-illvi2014.pdfSee AlsoserVisExamples##Not run:data(TwentyNewsgroups,package="LDAvis")#create the json object,start a local file server,open in default browserjson<-with(TwentyNewsgroups,createJSON(phi,theta,doc.length,vocab,term.frequency)) serVis(json)#press ESC or Ctrl-C to kill#createJSON()reorders topics in decreasing order of term frequencyRJSONIO::fromJSON(json)$topic.order#You may want to just write the JSON and other dependency files#to a folder named TwentyNewsgroups under the working directoryserVis(json,out.dir= TwentyNewsgroups ,open.browser=FALSE)#then you could use a server of your choice;for example,#open your terminal,type cd TwentyNewsgroups&&python-m SimpleHTTPServer#then open http://localhost:8000in your web browser#A different data set:the Jeopardy Questions+Answers data:#Install LDAvisData(the associated data package)if not already installed:#devtools::install_github("cpsievert/LDAvisData")library(LDAvisData)data(Jeopardy,package="LDAvisData")4jsPCA json<-with(Jeopardy,createJSON(phi,theta,doc.length,vocab,term.frequency)) serVis(json)#Check out Topic22(bodies of water!)#If you have a GitHub account,you can even publish as a gist#which allows you to easily share with others!serVis(json,as.gist=TRUE)#Run createJSON on a cluster of machines to speed it upsystem.time(json<-with(TwentyNewsgroups,createJSON(phi,theta,doc.length,vocab,term.frequency)) )#user system elapsed#14.4150.80015.066library("parallel")cl<-makeCluster(detectCores()-1)cl#socket cluster with3nodes on host localhostsystem.time(json<-with(TwentyNewsgroups,createJSON(phi,theta,doc.length,vocab,term.frequency,cluster=cl)))#user system elapsed# 2.0060.3618.822#another scaling method(svd+tsne)library("tsne")svd_tsne<-function(x)tsne(svd(x)$u)json<-with(TwentyNewsgroups,createJSON(phi,theta,doc.length,vocab,term.frequency,mds.method=svd_tsne,plot.opts=list(xlab="",ylab="")))serVis(json)#Results in a different topic layout in the left panel##End(Not run)jsPCA Dimension reduction via Jensen-Shannon Divergence&PrincipalComponentsDescriptionDimension reduction via Jensen-Shannon Divergence&Principal ComponentsUsagejsPCA(phi)renderVis5 Argumentsphi matrix,with each row containing the distribution over terms for a topic,with as many rows as there are topics in the model,and as many columns as there areterms in the vocabulary.renderVis Create an LDAvis output elementDescriptionShiny server output function customized for animint plots(similar to shiny::plotOutput and friends).UsagerenderVis(expr,env=parent.frame(),quoted=FALSE)Argumentsexpr An expression that generates a plot.env The environment in which to evaluate expr.quoted Is expr a quoted expression(with quote())?This is useful if you want to save an expression in a variable.See Also/articles/building-outputs.htmlrunShiny Run shiny/D3visualizationDescriptionThis function is deprecated as of version0.2UsagerunShiny(phi,term.frequency,vocab,topic.proportion)6serVisArgumentsphi a matrix with W rows,one for each term in the vocabulary,and K columns,one for each topic,where each column sums to one.Each column is the multinomialdistribution over terms for a given topic in an LDA topic model.term.frequency an integer vector of length W containing the frequency of each term in the vo-cabulary.vocab a character vector of length W containing the unique terms in the corpus.topic.proportiona numeric vector of length K containing the proportion of each topic in thecorpus.serVis View and/or share LDAvis in a browserDescriptionView and/or share LDAvis in a browser.UsageserVis(json,out.dir=tempfile(),open.browser=interactive(),as.gist=FALSE,...)Argumentsjson character string output from createJSON.out.dir directory to store html/js/jsonfiles.open.browser Should R open a browser?If yes,this function will attempt to create a local file server via the servr package.This is necessary since the javascript needs toaccess localfiles and most browsers will not allow this.as.gist should the vis be uploaded as a gist?Will prompt for an interactive login if the GITHUB_PAT environment variable is not set.For more details,see https:///ropensci/gistr#authentication....arguments passed onto gistr::gist_createDetailsThis function will place the necessary html/js/cssfiles(located in system.file("htmljs",package ="LDAvis"))in a directory specified by out.dir,start a localfile server in that directory(if neces-sary),and(optionally)open the default browser in this directory.If as.gist=TRUE,it will attempt to upload thesefiles as a gist(in this case,please make sure you have the gistr package installed as well as your’ername’and’github.password’set in options.)ValueAn invisible object.TwentyNewsgroups7 Author(s)Carson SievertSee AlsocreateJSONExamples##Not run:#Use of serVis is documented here:help(createJSON,package="LDAvis")##End(Not run)TwentyNewsgroups Twenty Newsgroups DataDescriptionTwenty Newsgroups DataUsageTwentyNewsgroupsFormatA list elements extracted from a topic modelfit to this dataphi phi,a matrix with the topic-term distributionstheta theta,a matrix with the document-topic distributionsdoc.length doc.length,a numeric vector with token counts for each documentvocab vocab,a character vector containing the termsterm.frequency term.frequency,a numeric vector of observed term frequenciesSource/~jason/20Newsgroups/8visOutput visOutput Shiny ui output functionDescriptionShiny ui output functionUsagevisOutput(outputId)ArgumentsoutputId output variable to read the plot fromSee Also/articles/building-outputs.htmlIndex∗datasetsTwentyNewsgroups,7createJSON,2,6,7jsPCA,2,3,4lapply,2options,6parallel,2parLapply,2renderVis,5runShiny,5serVis,3,6TwentyNewsgroups,7visOutput,89。

fluent操作界面中英

fluent操作界面中英

fluent 操作界面中英文对照Read 读取文件:scheme 方案journal 日志profile 外形 Write 保存文件Import :进入另一个运算程序 Interpolate :窜改,插入 Hardcopy : 复制, Batch options 一组选项 Save layout 保存设计Grid 网格Check 检查Info 报告:size 尺寸 ;memory usage 内存使用 情况;zones 区域;partitions 划分存储区 Polyhedral 多面体:Convert domain 变换范围Convert skewed cells 变换倾斜的单元Merge 合并 Separate 分割Fuse (Merge 的意思是将具有相同条件的边界合 并成一个;Fuse 将两个网格完全贴合的边界融合 成内部(interior)来处理,比如叶轮机中,计算多 个叶片时,只需生成一个叶片通道网格,其他通 过复制后,将重合的周期边界Fuse 掉就行了。

注意两个命令均为不可逆操作,在进行操作时注 意保存case) Zone 区域: append case file 添力口 case 文档 Replace 取代;delete 删除;deactivate 使复 位; Surface mesh 表面网孔Reordr 追加,添加:Domain 范围;zones 区域; Print bandwidth 打印 Scale 单位变换 Translate 转化Rotate 旋转 smooth/swap 光滑/交换CheckInfo ► Polyhedra►Merge...Separate ► Fuse...Zone►Surface Mesh... Reorder►Scale...Translate...Rotate...Smooth/Swap...ieGrid ] Define Solvea:w 1E3 SolverSolver* Pressure Based 'Density Based Space「2DL Axisymmetric 广 Axcsymmetric Swirl m 3DVelgty Formulatiqn • Absolute RelativeGradient Option区 Implicit「Explicit Time# SteadyUnsteadyPorous Formulation• Superficial VelocityPhysical Veiccity6K | Cancel] Help |Pressure based 基于压力 Density based 基于密度Models 模型:solver 解算器Formulation # Green-Gauss Cell Oased Green-Gauss N 。

All_normal_dispersion_femtosecond_fiber_laser

All_normal_dispersion_femtosecond_fiber_laser

See discussions, stats, and author profiles for this publication at: /publication/26294738 All-normal-dispersion femtosecond fiber laser. Opt. Express 14(21), 10095-10100ARTICLE in OPTICS EXPRESS · NOVEMBER 2006Impact Factor: 3.49 · DOI: 10.1364/OE.14.010095 · Source: PubMedCITATIONS 299READS 1644 AUTHORS, INCLUDING:Andy ChongUniversity of Dayton73 PUBLICATIONS 2,087 CITATIONSSEE PROFILE William H RenningerYale University69 PUBLICATIONS 1,894 CITATIONSSEE PROFILEFrank W WiseCornell University427 PUBLICATIONS 13,703 CITATIONSSEE PROFILEAvailable from: Andy ChongRetrieved on: 16 November 2015All-normal-dispersionfemtosecondfiber laserAndy Chong,Joel Buckley,Will Renninger and Frank WiseDepartment of Applied Physics,Cornell University,Ithaca,New York14853cyc26@Abstract:We demonstrate a modelocked ytterbium(Yb)-dopedfiber laserthat is designed to have strong pulse-shaping based on spectralfiltering of ahighly-chirped pulse in the cavity.This laser generates femtosecond pulseswithout a dispersive delay line or anomalous dispersion in the cavity.Pulsesas short as170fs,with pulse energy up to3nJ,are produced.©2006Optical Society of AmericaOCIS codes:(320.7090)Ultrafast lasers;(320.5540)Pulse shaping;(140.7090)Ultrafastlasers.References and links1.R.L.Fork,O.E.Martinez,and J.P.Gordon,“Negative dispersion using pairs of prisms,”Opt.Lett.9,150-152(1984).2. E.B.Treacy,“Optical pulse compression with diffraction gratings,”IEEE J.Quantum Electron.QE-5,454-458(1969).3.R.Szipocs,K.Ferencz,C.Spielmann,and F.Krausz,“Chirped multilayer coatings for broadband dispersioncontrol in femtosecond lasers,”Opt.Lett.19,201-203(1994).4.O.E.Martinez,R.L.Fork,and J.P.Gordon,“Theory of passively mode-locked laser including self-phasemodulation and group-velocity dispersion,”Opt.Lett.9,156-158(1984).5.H.A.Haus,J.G.Fujimoto,and E.P.Ippen,“Analytic theory of additive pulse and Kerr lens mode locking,”IEEE J.Quantum Electron.28,2086-2096(1992).6. B.Proctor,E.Westwig,and F.Wise,“Operation of a Kerr-lens mode-locked Ti:sapphire laser with positivegroup-velocity dispersion,”Opt.Lett.18,1654-1656(1993).7.S.M.J.Kelly,“Characteristic sideband instability of periodically amplified average soliton,”Electron.Lett.28,806-807(1992).8.K.Tamura,E.P.Ippen,H.A.Haus,and L.E.Nelson,“77-fs pulse generation from a stretched-pulse mode-lockedall-fiber ring laser,”Opt.Lett.18,1080-1082(1993).9. F.O.Ilday,J.R.Buckley,W.G.Clark,and F.W.Wise,“Self-similar evolution of parabolic pulses in a laser,”Phys.Rev.Lett.92,213902-1-213902-4(2004).10. F.O.Ilday,J.R.Buckley,H.Lim,F.W.Wise,and W.G.Clark,“Generation of50-fs,5-nJ pulses at1.03μmfrom a wave-breaking-freefiber laser,”Opt.Lett.28,1365-1367(2003).11.J.R.Buckley,F.W.Wise,F.O.Ilday,and T.Sosnowski,“Femtosecondfiber lasers with pulse energies above10nJ,”Opt.Lett.30,1888-1890(2005).12.H.Lim,F.O.Ilday,and F.W.Wise,“Femtosecond ytterbiumfiber laser with photonic crystalfiber for dispersioncontrol,”Opt.Express10,1497-1502(2002).13. A.V.Avdkhin,S.W.Popov,and J.R.Taylor,“Totallyfiber integrated,figure-of-eight,femtosecond source at1065nm,”Opt.Express11,265-269(2003).14.I.Hartl,G.Imeshev,L.Dong,G.C.Cho,and M.E.Fermann,“Ultra-compact dispersion compensated fem-tosecondfiber oscillators and amplifiers,”Conference on Lasers and Electro-Optics2005,Baltimore,MD,paper CThG1.15.J.R.Buckley,A.Chong,S.Zhou,W.H.Renninger,and F.W.Wise,unpublished.16.H.Lim,F.O.Ilday,and F.W.Wise,“Generation of2-nJ pulses from a femtosecond ytterbiumfiber laser,”Opt.Lett.28,660-662(2003).#72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006 (C) 2006 OSA16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 100951.IntroductionThe need to compensate group-velocity dispersion(GVD)is ubiquitous in femtosecond pulse generation and propagation.Prisms[1],diffraction gratings[2],and chirped mirrors[3]have all been used to compensate or control GVD.Reliable femtosecond lasers had to await the devel-opment of a low-loss means of introducing controllable GVD[1].Pulse formation in modern femtosecond lasers is dominated by the interplay between nonlinearity and dispersion[4,5].In all cases of practical interest,a positive(self-focusing)nonlinearity is balanced by anomalous GVD.The need to compensate normal GVD in the laser,along with the balance of nonlinearity in soliton-like pulse shaping,underlies the presence of anomalous GVD in femtosecond lasers. Most femtosecond lasers have segments of normal and anomalous GVD,so the cavity con-sists of a dispersion map,and the net or path-averaged cavity dispersion can be normal or anomalous.With large anomalous GVD,soliton-like pulse shaping produces short pulses with little chirp.Some amplitude modulation is required to stabilize the pulse against the periodic perturbations of the laser resonator.Pulse formation and pulse evolution become more complex as the cavity GVD approaches zero,and then becomes normal.The master-equation treatment of solid-state lasers,based on the assumption of small changes of the pulse as it traverses cavity elements,shows that stable pulses can be formed with net normal GVD[5].Nonlinear phase accumulation,coupled with normal GVD,chirps the pulse.The resulting spectral broadening is balanced by gain-narrowing.By cutting off the wings of the spectrum,gain dispersion shapes the temporal profile of the chirped pulse.Proctor et al showed that the resulting pulses are long and highly-chirped[6],as predicted by the analytic theory[5].Stable pulse trains can even be produced without dispersion compensation,but the output pulses are picoseconds in duration and deviate substantially from the Fourier-transform limited duration,even after dechirping with anomalous GVD external to the cavity.Fiber lasers can be constructed entirely offiber with anomalous GVD,to generate solitons as short as∼200fs in duration.However,the pulse energy is restricted by the soliton area theorem and spectral sidebands[7]to∼0.1nJ.Much higher energies are obtained when the laser has segments of normal and anomalous GVD.In general,the pulse breathes(i.e.,the pulse duration varies periodically)as it traverses the cavity.Dispersion-managed solitons are observed as the net GVD varies from small and anomalous to small and normal[8],and self-similar[9]and wave-breaking-free[10]pulses are observed with larger normal GVD.The large changes in the pulse as it traverses the laser preclude an accurate analytical treatment,so numerical simulations are employed to study these modes.Amongfiber lasers,Yb-based lasers have produced the highest femtosecond-pulse energies,recently reaching15-20nJ[11].The normal GVD of single-modefiber(SMF)around1μm wavelength has been compensated by diffraction gratings,which detract from the benefits of the waveguide medium.With the goal of building integratedfiber lasers,microstructurefibers[12,13]andfiber Bragg gratings[14]have been implemented to compensate dispersion at1μm.However,performance is sacrificed compared to lasers that employ diffraction gratings.From a practical point of view, it would be highly desirable to design femtosecond-pulsefiber lasers without compensation of the GVD of several meters offiber.However,to our knowledge there is no prior report of any laser that generates∼100-fs pulses without elements that provide anomalous GVD in the cavity.Recently,Buckley et al.showed that the introduction of a frequencyfilter stabilizes mod-elocked operation of a Yb-dopedfiber laser with normal cavity GVD(∼0.015ps2),which allows the routine generation of15-nJ pulses as short as55fs[15].The frequencyfilter pro-duces self-amplitude modulation,which allows nonlinear polarization evolution(NPE)to be biased for higher pulse energies.By altering the laser cavity to operate at large normal GVD (0.04-0.10ps2),the frequencyfilter was found to stabilize modelocked operation character-#72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006 (C) 2006 OSA16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 10096ized by highly chirped,nearly static pulses as predicted by the theory of self-similar lasers[9]. Although Buckley et al.succeeded in enhancing the stability of modelocking at large normal GVD,the laser still required some dispersion compensation with a grating pair.Here we describe a femtosecondfiber laser with a cavity consisting only of elements with normal GVD.By increasing the nonlinear phase shift accumulated by the pulse and insert-ing a spectralfilter in the cavity,self-amplitude modulation via spectralfiltering is enhanced. The laser generates chirped picosecond pulses,which are dechirped to170fs outside the laser. These results are remarkable considering that the cavity consists of∼10characteristic disper-sion lengths offiber with respect to the dechirped pulse,yet no dispersion control is provided. The pulse energy is1-3nJ,and the laser is stable and self-starting.The laser is thus afirst step in a new approach to modelocking.Systematic understanding of the pulse-shaping and evolution will be interesting scientifically,and the freedom from anomalous dispersion offers significant practical advantages.2.Design rationale and numerical simulationsThe design of a femtosecondfiber laser without dispersion control in the cavity exploits the understanding gained by the recent work of Buckley et al.[15].The master-equation analysis does not apply quantitatively tofiber lasers,but we are guided qualitatively and intuitively by its predictions.The key elements of such a laser(Fig.1(a))are a fairly long segment of SMF, a short segment of gainfiber,a segment of SMF after the gainfiber,and components that pro-duce self-amplitude modulation.A significant nonlinear phase shift is impressed on the pulseFig.1.Numerical simulation result:a)schematic diagram of the laser.A ring cavity isassumed,so the pulse enters thefirst SMF after the NPE.Results of numerical simulationsare shown on the bottom.Power spectrum(b)and temporal intensity profile(c)after thesecond SMF.#72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006 (C) 2006 OSA16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 10097in the SMF that follows the gain,and NPE converts the differential phase shift to amplitude modulation.Numerical simulations show that stable solutions do exist in such a laser,for a reasonable range of parameters.The gain bandwidth has a major influence on the pulse evo-lution.With large gain bandwidth (>∼30nm),approximately parabolic pulses evolve as in a self-similar laser [9].As the bandwidth is reduced to ∼10nm,the spectrum develops sharp peaks on its edges,and for narrower bandwidths the solutions do not converge.Results of simulations with 10-nm gain bandwidth and 2-nJ pulse energy are shown in Fig.1.The pulse duration increases monotonically in the SMF,and then decreases abruptly in the gain fiber.In the second segment of SMF the pulse duration increases slightly,before dropping again owing to the NPE.The spectrum (Fig.1(b))exhibits a characteristic shape,with sharp peaks near its steep edges.The pulse is highly-chirped throughout the cavity,with the duration varying from ∼10to ∼20times the transform limit (Fig.1(c)).The simulations show that spectral filtering of a strongly phase-modulated pulse can produce substantial amplitude modulation under realistic conditions.With additional amplitude modu-lation from NPE,stable solutions exist.The pulse is highly-chirped inside the cavity,but the phase is roughly parabolic near the peak of the pulse,so the pulse can be dechirped outside the laser.3.Experimental resultsThe numerical simulations offer a guide to the construction of a laser without anomalous disper-sion.The laser (shown schematically in Fig.2)is similar to the Yb fiber laser of Lim et al .[16],but without the grating pair that provides anomalous GVD in earlier designs.The fiber section consists of ∼3m of SMF and 20cm of highly-doped Yb gain fiber,followed by another ∼1m of SMF.Gain fiber with a 4-μm core diameter (which is smaller than the 6-μm core of SMF)was chosen to increase self-phase modulation (SPM)in the gain fiber.A 980-nm laser diode delivers ∼350mW into the core of the gain fiber.NPE is implemented with quarter-waveplates,a half-waveplate,and a polarizing beamsplitter.The output of laser is taken directly from the NPE ejection port.Fig.2.Schematic of all-normal-dispersion fiber laser:QWP:quarter-waveplate;HWP:half-waveplate;PBS:polarizing beam splitter;WDM:wavelength-division multiplexer.In contrast to the simulations,it is not possible to vary the gain bandwidth easily.An inter-ference filter centered at 1030nm,with 10nm bandwidth,is employed.The optimum location for the filter is not clear.Placing it after the gain or second SMFsegment would maximize the amplitude modulation from spectral filtering and correspond most closely to the simulations described above.However,we also want to output the broadest spectrum and the largest pulse energy,to achieve the shortest and most intense pulse.Considering these factors,we placed the #72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006(C) 2006 OSA 16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 10098filter after the beam splitter.This location also allows as much of the laser to be spliced together as possible.The total cavity dispersion is∼0.1ps2.The threshold pump power for modelocking is∼300mW.Self-starting modelocked opera-tion is achieved by adjustment of the waveplates.The laser produces a stable pulse train with 45MHz repetition rate.Although the continuous-wave output power can be as high as∼200 mW,in modelocked operation the power is limited to120mW,which corresponds to a pulse energy of∼3nJ.Stable single-pulsing is verified with a fast detector down to500ps,and by monitoring the interferometric autocorrelation out to delays of∼100ps.Also,the spectrum is carefully monitored for any modulation that would be consistent with multiple pulses in the cavity.Remarkably,there is no evidence of multi-pulsing at any available pump power.How-ever,with a single pump diode the pump power only exceeds the modelocking threshold by ∼20%.Fig.3.Output of the laser:a)spectrum,b)interferometric autocorrelation of the output,c)interferometric autocorrelation of dechirped pulse and the interferometric autocorrelationof zero-phase Fourier-transform of the spectrum(inset),d)intensity autocorrelation of thedechirped pulse.Typical results for the output of the laser are shown in Fig.3.The spectrum(Fig.3(a))is qualitatively similar to the simulated spectrum(Fig.1(b))and is consistent with significant SPM within the cavity.The laser generates∼1.4-ps chirped pulses(Fig.3(b)),which are dechirped to 170fs(Fig.3(c and d))with a pair of diffraction gratings outside the laser.The dechirped pulse duration is within∼16%of the Fourier-transform limit(Fig.3(c)inset).The interferometric autocorrelation shows noticeable side-lobes,which arise from the steep sides and structure of the spectrum.Nevertheless,these amount to only∼10%of the pulse energy.The output pulse energy is∼2.7nJ,and after dechirping with lossy gratings the pulse energy is∼1nJ.Pulse ener-#72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006 (C) 2006 OSA16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 10099gies of2nJ could be obtained by dechirping with high-efficiency gratings or photonic-bandgap fiber.The laser is stable and self-starting.In addition to verifying as carefully as possible that the laser is not multi-pulsing,we compared the pulse peak power to that of a fully-characterized femtosecond laser available in our lab.Within the experimental uncertainties,the two-photon photocurrent induced by the all-normal-dispersion laser scales correctly with the nominal peak power,which is∼5kW.Detailed understanding of pulse formation and evolution in this laser will require more ex-perimental work and theoretical analysis.Because the simulated laser is not identical to the ex-perimental version,it is not appropriate to compare the calculated and measured performance in detail.However,qualitative and even semi-quantitative observations of the laser properties are consistent with the intended pulse-shaping through spectralfiltering.The behavior of the laser depends critically on the spectralfilter:without it,stable pulse trains are not generated.By rotating the spectralfilter to vary the center wavelength,either of the sharp spectral features can be suppressed,which may slightly improve the pulse quality.When the spectrum changes,the magnitude of the chirp on the output pulse can change substantially:the pulse duration varies from approximately1to2ps.With standard femtosecond Yb-dopedfiber lasers,mechanical perturbation of thefiber extinguishes modelocking.In the laser described here,wefind that it is possible to touch and move thefiber without disrupting modelocking,which indicates that NPE plays a reduced role in pulse-shaping.The simulations(e.g.,Fig.1)show that the role of NPE is reduced compared to a laser with a dispersion map,but it is still crucial to the generation of stable pulses.4.ConclusionIn conclusion,we have demonstrated afiber laser that generates reasonably high-quality fem-tosecond pulses without the use of intracavity dispersion control.The behavior and perfor-mance of the laser agree qualitatively with numerical simulations that illustrate the intended pulse-shaping mechanism by enhanced spectralfiltering of chirped pulses in the cavity.Never-theless,our picture of this modelocking process is rudimentary,and more work will be required to obtain a systematic understanding.Improved performance should accompany better under-standing of this modelocking process.AcknowledgementThis work was supported by the National Science Foundation under grant ECS-0500956and by the National Institutes of Health under grant EB002019.#72994 - $15.00 USD Received 14 July 2006; revised 12 August 2006; accepted 23 August 2006 (C) 2006 OSA16 October 2006 / Vol. 14, No. 21 / OPTICS EXPRESS 10100。

Modern Semiconductor Devices for Integrated Circuits -4

Modern Semiconductor Devices for Integrated Circuits -4
(a)
N-type
N d N d
P-type
N a N a
q φbi
(b)
Ec Ef Ev
V φbi
(c)
xN
0
xP
x
Can the built-in potential be measured with a voltmeter?
Modern Semiconductor Devices for Integrated Circuits (C. Hu) Slide 4-3
4.5.1 Peak Electric Field
Arbitrarily choose the voltage at x = xP as V = 0.
xn N
xp P
x Ec
φbi , built-in potential Ef Ev
On the N-side, qN d V ( x) = D − ( x − xN )2 2ε s qN d = φbi − ( x − xN )2 2ε s
• Is this an accurate way to determine Nl ? Nh ?
Modern Semiconductor Devices for Integrated Circuits (C. Hu) Slide 4-14
4.5 Junction Breakdown
I Forward Current V B, breakdown voltage Small leakage Current R A V
N-region
(a)
P-region
Ef Ec
Ef is constant at equilibrium Ec and Ev are known relative to Ef
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(1)
where na and nS are the refractive indices of the ambient medium and substrate, respectively. N is the number of pairs of dielectric layers; for example, N=5 implies that the reflector consists of 11 layers (5 pairs plus an additional layer of high refractive index on top). The bandwidth Δλ of the photonic stop-band is given by: 4 λ0 n H – n L Δλ 0 = --------- asin ------------------- n H + n L π where λ0 is the central wavelength of the band. (2)
Figure 1: Bragg reflector with 9 layers (N=4).
1 |
DISTRIBUTED BRAGG REFLECTOR
Solved with COMSOL Multiphy
The model consists of two domains with differing material properties, with a number of Thin Dielectric Film features added to the Material Discontinuity feature separating them. Figure 1 shows the geometry used to model a distributed Bragg reflector. The blue surface represents the boundary to which dielectric layers are added, with the top domain containing air and the bottom domain containing a substrate. The red arrow (activated in the Material Discontinuity feature) shows the sense in which the thin dielectric layers are stacked. The last Thin Dielectric Film in the model tree represents the topmost thin film in the model.
MODEL WIZARD
1 In the Model Wizard window, click 3D.
4 |
DISTRIBUTED BRAGG REFLECTOR
Solved with COMSOL Multiphysics 5.0
2 In the Select physics tree, select Optics>Ray Optics>Geometrical Optics (gop). 3 Click Add. 4 Click Study. 5 In the Select study tree, select Preset Studies>Ray Tracing. 6 Click Done.
3 |
DISTRIBUTED BRAGG REFLECTOR
Solved with COMSOL Multiphysics 5.0
Figure 3: Response of the distributed Bragg grating for two configurations, N=2 and N=5.
Model Library path: Ray_Optics_Module/Tutorial_Models/
distributed_bragg_reflector
Modeling Instructions
From the File menu, choose New.
NEW
1 In the New window, click Model Wizard.
GEOMETRY 1
Add some parameters for the refractive index of the materials and the central wavelength.
2 |
DISTRIBUTED BRAGG REFLECTOR
Solved with COMSOL Multiphysics 5.0
To show the response of the mirror across a span of wavelengths, a range of wavelengths (or frequencies) can be specified using the Release from Grid feature. This functionality is activated if the Frequency-dependent refractive indices is chosen in the interface properties. Of particular interest in this devices, is the reflectance R of the device and what range of wavelengths it is effective over, Δλ. The reflectance for the distributed Bragg reflector is given by:
2 n H 2 N n H 1 – ----------------- nL na nb - R = ------------------------------------------2 2N n n H H 1 + ------- ------------ n L n a n b 2
Figure 2: Geometry used to model a distributed Bragg reflector. Dielectric layers are added to the surface shown in blue, which is between an air domain and a substrate. The layers of greater refractive index are made of ZnS with nH=2.32, and the layers of lower refractive index contain MgF2 with nL=1.38. The refractive index of the air and substrate domains are 1.0 and 1.5 respectively. The optical thicknesses of the layers are calculated such that nHtH = nLtL = λ0/4.
Solved with COMSOL Multiphysics 5.0
Distributed Bragg Reflector
Introduction
A distributed Bragg reflector, or dielectric mirror, is a reflector used in waveguides, such as optical fibers. A distributed Bragg reflector has extremely low losses at optical and infrared frequencies compared to ordinary metallic mirrors. Its structure is formed from layers of alternating materials with high and low refractive indices. Typically the stack would be made up of an odd number of layers where the first and last layers are chosen to have high refractive index. Each layer boundary causes a partial reflection of an optical wave. When the wavelength is close to four times the optical thickness of the layers, the many reflected waves tend to interfere constructively, causing the layers to act as a high-quality reflector. The range of wavelengths in which most of the incident intensity is reflected is called the photonic stopband. In the limit in which the reflector contains a very large number of layers, radiation in this range of wavelengths cannot propagate into the structure. Distributed Bragg reflectors are critical components in vertical cavity surface emitting lasers and other types of narrow-linewidth laser diodes such as distributed feedback lasers.
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