Development of high-throughput silicon lens and grism with moth-eye antireflection structure for mid-infrared astronomy

2012 ◽  
Author(s):  
Takafumi Kamizuka ◽  
Takashi Miyata ◽  
Shigeyuki Sako ◽  
Hiroaki Imada ◽  
Tomohiko Nakamura ◽  
...  
Keyword(s):  
High Throughput ◽  
Infrared Astronomy ◽  
Mid Infrared ◽  
Silicon Lens

High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2020 ◽  
Vol 309 ◽  
pp. 125585 ◽  
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling

Development of high-throughput silicon lens and grism with moth-eye anti-reflection structure

2014 ◽  
Author(s):  
Takafumi Kamizuka ◽  
Takashi Miyata ◽  
Shigeyuki Sako ◽  
Hiroaki Imada ◽  
Ryou Ohsawa ◽  
...  
Keyword(s):  
High Throughput ◽  
Silicon Lens

TEXES: sensitive and versatile spectrograph for mid-infrared astronomy

2003 ◽  
Author(s):  
John H. Lacy ◽  
Matthew J. Richter ◽  
Thomas K. Greathouse ◽  
Daniel T. Jaffe ◽  
Qingfeng Zhu ◽  
...  
Keyword(s):  
Infrared Astronomy ◽  
Mid Infrared

scholarly journals WITHDRAWN: High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2019 ◽  
pp. 100055
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling

scholarly journals Milk mid-infrared spectra enable prediction of lactation-stage-dependent methane emissions of dairy cattle within routine population-scale milk recording schemes

2016 ◽  
Vol 56 (3) ◽  
pp. 258 ◽  
Author(s):  
Amélie Vanlierde ◽  
Marie-Laure Vanrobays ◽  
Nicolas Gengler ◽  
Pierre Dardenne ◽  
Eric Froidmont ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
High Throughput ◽  
Methane Emissions ◽  
Calibration Coefficient ◽  
Coefficient Of Determination ◽  
Mid Infrared ◽  
First Derivative ◽  
Data Points ◽  
Mir Spectra

Mitigating the proportion of energy intake lost as methane could improve the sustainability and profitability of dairy production. As widespread measurement of methane emissions is precluded by current in vivo methods, the development of an easily measured proxy is desirable. An equation has been developed to predict methane from the mid-infrared (MIR) spectra of milk within routine milk-recording programs. The main goals of this study were to improve the prediction equation for methane emissions from milk MIR spectra and to illustrate its already available usefulness as a high throughput phenotypic screening tool. A total of 532 methane measurements considered as reference data (430 ± 129 g of methane/day) linked with milk MIR spectra were obtained from 165 cows using the SF6 technique. A first derivative was applied to the MIR spectra. Constant (P0), linear (P1) and quadratic (P2) modified Legendre polynomials were computed from each cows stage of lactation (days in milk), at the day of SF6 methane measurement. The calibration model was developed using a modified partial least-squares regression on first derivative MIR data points × P0, first derivative MIR data points × P1, and first derivative MIR data points × P2 as variables. The MIR-predicted methane emissions (g/day) showed a calibration coefficient of determination of 0.74, a cross-validation coefficient of determination of 0.70 and a standard error of calibration of 66 g/day. When applied to milk MIR spectra recorded in the Walloon Region of Belgium (≈2 000 000 records), this equation was useful to study lactational, annual, seasonal, and regional methane emissions. We conclude that milk MIR spectra has potential to be used to conduct high throughput screening of lactating dairy cattle for methane emissions. The data generated enable monitoring of methane emissions and production characteristics across and within herds. Milk MIR spectra could now be used for widespread screening of dairy herds in order to develop management and genetic selection tools to reduce methane emissions.

EXES: The Echelon-cross-echelle Spectrograph for SOFIA

2018 ◽  
Vol 07 (04) ◽  
pp. 1840013 ◽  
Author(s):  
M. J. Richter ◽  
C. N. DeWitt ◽  
M. McKelvey ◽  
E. Montiel ◽  
R. McMurray ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Infrared Astronomy ◽  
High Spectral Resolution ◽  
Echelle Spectrograph ◽  
Mid Infrared ◽  
Low Background ◽  
And Performance ◽  
Operational Modes ◽  
Echelon Grating

The Echelon-cross-echelle spectrograph (EXES) is a high spectral resolution, mid-infrared spectrograph designed for and operated on the Stratospheric Observatory for Infrared Astronomy (SOFIA). EXES has multiple operational modes, but is optimized for high spectral resolution. The heart of the instrument is a one meter long, diamond-machined echelon grating. EXES also uses a 10242 Si:As detector optimized for low-background flux. We will discuss the design, operation and performance of EXES.

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