The stellar populations of deeply embedded young clusters: Near-infrared spectral classification

2007 ◽  
pp. 175-186 ◽  
Author(s):  
Michael R. Meyer ◽  
Suzan Edwards ◽  
Kenneth Hinkle ◽  
Michael F. Skrutskie ◽  
Stephen E. Strom
Keyword(s):  
Near Infrared ◽  
Stellar Populations ◽  
Spectral Classification ◽  
Infrared Spectral ◽  
Young Clusters

scholarly journals Near‐Infrared Spectral Features in Single‐aged Stellar Populations

2000 ◽  
Vol 532 (1) ◽  
pp. 453-460 ◽  
Author(s):  
R. P. Schiavon ◽  
B. Barbuy ◽  
G. Bruzual A.
Keyword(s):  
Near Infrared ◽  
Stellar Populations ◽  
Spectral Features ◽  
Infrared Spectral

NICS-TNG Low-Resolution 0.85–2.45 micron Spectra of L Dwarfs: A Near-Infrared Spectral Classification Scheme for Faint Dwarfs

2001 ◽  
Vol 552 (2) ◽  
pp. L147-L150 ◽  
Author(s):  
L. Testi ◽  
F. D’Antona ◽  
F. Ghinassi ◽  
J. Licandro ◽  
A. Magazzù ◽  
...  
Keyword(s):  
Near Infrared ◽  
Classification Scheme ◽  
Spectral Classification ◽  
Low Resolution ◽  
Infrared Spectral ◽  
L Dwarfs

scholarly journals A Unified Near‐Infrared Spectral Classification Scheme for T Dwarfs

2006 ◽  
Vol 637 (2) ◽  
pp. 1067-1093 ◽  
Author(s):  
Adam J. Burgasser ◽  
T. R. Geballe ◽  
S. K. Leggett ◽  
J. Davy Kirkpatrick ◽  
David A. Golimowski
Keyword(s):  
Near Infrared ◽  
Classification Scheme ◽  
Spectral Classification ◽  
Infrared Spectral

scholarly journals Near-Infrared Spectral Classification of Late M and L Dwarfs

2001 ◽  
Vol 121 (3) ◽  
pp. 1710-1721 ◽  
Author(s):  
I. Neill Reid ◽  
A. J. Burgasser ◽  
K. L. Cruz ◽  
J. Davy Kirkpatrick ◽  
J. E. Gizis
Keyword(s):  
Near Infrared ◽  
Spectral Classification ◽  
Infrared Spectral ◽  
L Dwarfs

Metastructures for the Giant Enhancement of Raman Scattering in the Near Infrared Spectral Range

JETP Letters ◽  
2020 ◽  
Vol 112 (1) ◽  
pp. 31-36
Author(s):  
V. I. Kukushkin ◽  
V. E. Kirpichev ◽  
E. N. Morozova ◽  
V. V. Solov’ev ◽  
Ya. V. Fedotova ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Spectral Range ◽  
Near Infrared ◽  
Infrared Spectral Range ◽  
Infrared Spectral

scholarly journals ALD Deposited ZnO:Al Films on Mica for Flexible PDLC Devices

Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1011
Author(s):  
Dimitre Z. Dimitrov ◽  
Zih Fan Chen ◽  
Vera Marinova ◽  
Dimitrina Petrova ◽  
Chih Yao Ho ◽  
...  
Keyword(s):  
Near Infrared ◽  
Atomic Layer ◽  
Optical Transmittance ◽  
Force Microscopy ◽  
Flexible Polymer ◽  
Layer Deposition ◽  
Polymer Dispersed ◽  
Muscovite Mica ◽  
Infrared Spectral ◽  
Continuous Bending

In this work, highly conductive Al-doped ZnO (AZO) films are deposited on transparent and flexible muscovite mica substrates by using the atomic layer deposition (ALD) technique. AZO-mica structures possess high optical transmittance at visible and near-infrared spectral range and retain low electric resistivity, even after continuous bending of up to 800 cycles. Structure performances after bending tests have been supported by atomic force microscopy (AFM) analysis. Based on performed optical and electrical characterizations AZO films on mica are implemented as transparent conductive electrodes in flexible polymer dispersed liquid crystal (PDLC) devices. The measured electro-optical characteristics and response time of the proposed devices reveal the higher potential of AZO-mica for future ITO-free flexible optoelectronic applications.

scholarly journals Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giovanni Bittante ◽  
Simone Savoia ◽  
Alessio Cecchinato ◽  
Sara Pegolo ◽  
Andrea Albera
Keyword(s):  
Meat Quality ◽  
Genetic Improvement ◽  
Near Infrared ◽  
Infrared Region ◽  
Phenotypic Variance ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Infrared Spectral ◽  
Portable Spectrometers ◽  
Absorbance Spectra

AbstractSpectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle.

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