High dynamic range characterization of waveform and frequency-chirp of pico-second pulses based on the precise measurement of group delay in optical frequency domain

2003 ◽  
Author(s):  
Y. Ozeki ◽  
Y. Takushima ◽  
K. Kikuchi
Keyword(s):  
Frequency Domain ◽  
Precise Measurement ◽  
Group Delay ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Optical Frequency ◽  
Frequency Chirp ◽  
High Dynamic ◽  
Range Characterization

scholarly journals High Dynamic Range Characterization of the Trauma Patient Plasma Proteome

2006 ◽  
Vol 5 (10) ◽  
pp. 1899-1913 ◽  
Author(s):  
Tao Liu ◽  
Wei-Jun Qian ◽  
Marina A. Gritsenko ◽  
Wenzhong Xiao ◽  
Lyle L. Moldawer ◽  
...  
Keyword(s):  
Trauma Patient ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Plasma Proteome ◽  
High Dynamic ◽  
Range Characterization

High-dynamic-range characterization of ultrashort pulses

1997 ◽  
Vol 65 (2) ◽  
pp. 307-310 ◽  
Author(s):  
I.D. Jung ◽  
F.X. Kärtner ◽  
J. Henkmann ◽  
G. Zhang ◽  
U. Keller
Keyword(s):  
Dynamic Range ◽  
Ultrashort Pulses ◽  
High Dynamic Range ◽  
High Dynamic ◽  
Range Characterization

Ultra-High-Efficiency Strong Cation Exchange LC/RPLC/MS/MS for High Dynamic Range Characterization of the Human Plasma Proteome

2004 ◽  
Vol 76 (4) ◽  
pp. 1134-1144 ◽  
Author(s):  
Yufeng Shen ◽  
Jon M. Jacobs ◽  
David G. Camp ◽  
Ruihua Fang ◽  
Ronald J. Moore ◽  
...  
Keyword(s):  
Cation Exchange ◽  
High Efficiency ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Plasma Proteome ◽  
Strong Cation Exchange ◽  
High Dynamic ◽  
Range Characterization ◽  
Human Plasma Proteome

scholarly journals Relative sky radiance from multi-exposure all-sky camera images

2021 ◽  
Vol 14 (3) ◽  
pp. 2201-2217
Author(s):  
Juan C. Antuña-Sánchez ◽  
Roberto Román ◽  
Victoria E. Cachorro ◽  
Carlos Toledano ◽  
César López ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Quality Criteria ◽  
High Dynamic Range ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
High Dynamic ◽  
Sky Radiance ◽  
Black Level ◽  
Hdr Image

Abstract. All-sky cameras are frequently used to detect cloud cover; however, this work explores the use of these instruments for the more complex purpose of extracting relative sky radiances. An all-sky camera (SONA202-NF model) with three colour filters narrower than usual for this kind of cameras is configured to capture raw images at seven exposure times. A detailed camera characterization of the black level, readout noise, hot pixels and linear response is carried out. A methodology is proposed to obtain a linear high dynamic range (HDR) image and its uncertainty, which represents the relative sky radiance (in arbitrary units) maps at three effective wavelengths. The relative sky radiances are extracted from these maps and normalized by dividing every radiance of one channel by the sum of all radiances at this channel. Then, the normalized radiances are compared with the sky radiance measured at different sky points by a sun and sky photometer belonging to the Aerosol Robotic Network (AERONET). The camera radiances correlate with photometer ones except for scattering angles below 10∘, which is probably due to some light reflections on the fisheye lens and camera dome. Camera and photometer wavelengths are not coincident; hence, camera radiances are also compared with sky radiances simulated by a radiative transfer model at the same camera effective wavelengths. This comparison reveals an uncertainty on the normalized camera radiances of about 3.3 %, 4.3 % and 5.3 % for 467, 536 and 605 nm, respectively, if specific quality criteria are applied.

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