scholarly journals Highly Efficient Broadband Silicon-on-Insulator Grating Couplers for the Short Wave Infrared Wavelength Range

2011 ◽  
Author(s):  
B. Kuyken ◽  
N. Hattasan ◽  
D. Vermeulen ◽  
S. Selvaraja ◽  
W. Bogaerts ◽  
...  
Keyword(s):  
Wavelength Range ◽  
Short Wave ◽  
Silicon On Insulator ◽  
Grating Couplers ◽  
Infrared Wavelength ◽  
Highly Efficient ◽  
Short Wave Infrared

scholarly journals Validation of two independent retrievals of SCIAMACHY water vapour columns using radiosonde data

2013 ◽  
Vol 6 (10) ◽  
pp. 2925-2940 ◽  
Author(s):  
A. du Piesanie ◽  
A. J. M. Piters ◽  
I. Aben ◽  
H. Schrijver ◽  
P. Wang ◽  
...  
Keyword(s):  
Water Vapour ◽  
Wavelength Range ◽  
Short Wave ◽  
Mean Difference ◽  
Likelihood Method ◽  
Radiosonde Data ◽  
Air Mass ◽  
Infrared Wavelength ◽  
Short Wave Infrared ◽  
Good Agreement

Abstract. Two independently derived SCIAMACHY total water vapour column (WVC) products are compared with integrated water vapour data calculated from radiosonde measurements, and with each other. The two SCIAMACHY WVC products are retrieved with two different retrieval algorithms applied in the visible and short-wave infrared wavelength regions respectively. The first SCIAMACHY WVC product used in the comparison is ESA's level 2 version 5.01 WVC product derived with the Air Mass Corrected Differential Optical Absorption Spectroscopy (AMC-DOAS) retrieval algorithm applied in the visible wavelength range (SCIAMACHY-ESA). The second SCIAMACHY WVC product is derived using the iterative maximum likelihood method (IMLM) in the short-wave infrared wavelength range and developed by Netherlands Institute for Space Research (SCIAMACHY-IMLM). Both SCIAMACHY WVC products are compared with collocated water vapour amounts determined from daily relative humidity radiosonde measurements obtained from the European Centre for Medium-Range Weather Forecasts (ECMWF) radiosonde network. The SCIAMACHY-ESA WVC product is compared with radiosonde-derived WVC amounts for an 18-month period from February 2010 to mid-August 2011, and the SCIAMACHY-IMLM WVC amounts are compared with radiosonde WVC amounts for the two individual years of 2004 and 2009. In addition the WVC amounts from SCIAMACHY-ESA and SCIAMACHY-IMLM are also compared with each other for a 1-month period for June 2009. The AMC-DOAS method used to retrieve SCIAMACHY-ESA WVC is able to correct for water vapour present below the clouds and can be used during cloudy conditions over both land and ocean surfaces. Results indicate a good agreement between the WVC amounts of SCIAMACHY-ESA and that of radiosondes, with a mean difference of −0.32 g cm−2 for all collocated cases. Overall the SCIAMACHY-ESA WVC amounts are smaller than the radiosonde WVC amounts, especially over oceans. For cloudy conditions the WVC bias has a clear dependence on the cloud top height and increases with increasing cloud top heights larger than approximately 2 km. A likely cause for this could be the different vertical profile shapes of water vapour and O2 leading to different relative changes in their optical thickness, which makes the air mass factor (AMF) correction method used in the algorithm less suitable for high clouds. The SCIAMACHY-IMLM product's water vapour measurements are best used over land surfaces during cloud-free conditions, and in these cases a good agreement is found when compared to radiosonde WVC amounts, with a mean difference of 0.08 g cm−2. It is shown that over ocean surfaces during cloudy conditions the partial SCIAMACHY-IMLM water vapour column above the cloud can be well estimated by using the simultaneously retrieved methane column to calculate the cloud top height. Comparing the two satellite WVC products with each other indicates that SCIAMACHY-ESA consistently measures higher WVC amounts than those of SCIAMACHY-IMLM. Furthermore, the importance of the choice of cloud product is highlighted, as intercomparisons between the two SCIAMACHY WVC products indicate that using different cloud products to screen water vapour data for cloud-free conditions influences the data selection and may ultimately lead to a variation in results. In the last section of the paper, various options for filtering the two SCIAMACHY WVC data sets are discussed and best selection criteria suggested.

scholarly journals High-Efficiency SOI Fiber-to-Chip Grating Couplers and Low-Loss Waveguides for the Short-Wave Infrared

2012 ◽  
Vol 24 (17) ◽  
pp. 1536-1538 ◽  
Author(s):  
Nannicha Hattasan ◽  
Bart Kuyken ◽  
Francois Leo ◽  
Eva M. P. Ryckeboer ◽  
Diedrik Vermeulen ◽  
...  
Keyword(s):  
High Efficiency ◽  
Short Wave ◽  
Low Loss ◽  
Grating Couplers ◽  
Short Wave Infrared

Highly efficient unibond silicon-on-insulator blazed grating couplers

2000 ◽  
Vol 77 (25) ◽  
pp. 4214-4216 ◽  
Author(s):  
T. W. Ang ◽  
G. T. Reed ◽  
A. Vonsovici ◽  
A. G. R. Evans ◽  
P. R. Routley ◽  
...  
Keyword(s):  
Silicon On Insulator ◽  
Grating Couplers ◽  
Blazed Grating ◽  
Highly Efficient

scholarly journals Highly Efficient, Bright, and Stable Colloidal Quantum Dot Short‐Wave Infrared Light‐Emitting Diodes

2020 ◽  
Vol 30 (39) ◽  
pp. 2004445
Author(s):  
Santanu Pradhan ◽  
Mariona Dalmases ◽  
Ayse‐Bilgehan Baspinar ◽  
Gerasimos Konstantatos
Keyword(s):  
Quantum Dot ◽  
Light Emitting Diodes ◽  
Short Wave ◽  
Infrared Light ◽  
Light Emitting ◽  
Highly Efficient ◽  
Colloidal Quantum Dot ◽  
Short Wave Infrared

scholarly journals Evaporated Se x Te 1‐ x Thin Films with Tunable Bandgaps for Short‐Wave Infrared Photodetectors

2020 ◽  
Vol 32 (38) ◽  
pp. 2001329 ◽  
Author(s):  
Chaoliang Tan ◽  
Matin Amani ◽  
Chunsong Zhao ◽  
Mark Hettick ◽  
Xiaohui Song ◽  
...  
Keyword(s):  
Thin Films ◽  
Short Wave ◽  
Infrared Photodetectors ◽  
Short Wave Infrared
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