scholarly journals Search and characterization of T-type planetary mass candidates in the σ Orionis cluster

2010 ◽  
Vol 6 (S276) ◽  
pp. 489-490
Author(s):  
Karla Peña Ramírez ◽  
Maria R. Zapatero Osorio ◽  
Victor J.S. Béjar
Keyword(s):  
Infrared Spectra ◽  
Spectral Type ◽  
Spectroscopic Data ◽  
Near Infrared ◽  
Cluster Membership ◽  
Planetary Mass ◽  
Near Infrared Spectra ◽  
Motion Measurements ◽  
Astrometric Data

AbstractWe present new photometric and astrometric data available for S Ori 70 and 73, the two T-type planetary-mass member candidates in the σ Orionis cluster (~3 ± 2 Myr, d~360 pc). S Ori 70 (J ~ 19.9 mag) has a spectral type of T5.5 ± 1.0 measured from published near-infrared spectra, while no spectroscopic data are available for S Ori 73 (J ~ 21 mag). We estimate the spectral type of S Ori 73 by using J, H, and CH4off (λc=1.575 μm, Δλ=0.112 μm) photometry and comparing the H-CH4off index of S Ori 73 with the colors of field stars and brown dwarfs of spectral types in the range F to late T. The locations of S Ori 70 and 73 in the J-H vs H-CH4off color-color diagram are consistent with spectral types T8 ± 1 and T4 ± 1, respectively. Proper motion measurements of the two sources are larger than the motion of the central σ Ori star, making their cluster membership somehow uncertain.

scholarly journals Near-infrared spectra of Scapharca homodimeric hemoglobin: characterization of the deoxy and photodissociated derivatives

1996 ◽  
Vol 70 (6) ◽  
pp. 2924-2929 ◽  
Author(s):  
J. Huang ◽  
M. Leone ◽  
A. Boffi ◽  
J.M. Friedman ◽  
E. Chiancone
Keyword(s):  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra

scholarly journals FI Lyr: A Candidate Binary System Consisting of Carbon-Rich and Oxygen-Rich Companions

1993 ◽  
Vol 155 ◽  
pp. 334-334
Author(s):  
J.J. Wang ◽  
J.Y. Hu ◽  
X. Zhou
Keyword(s):  
Binary System ◽  
Infrared Spectra ◽  
Spectral Type ◽  
Near Infrared ◽  
Dust Shell ◽  
Near Infrared Spectra

FI Lyr=IRAS18401+2854 is listed in the GCVS as type of SRb, the spectral type is M. In the IRAS LRS Catalog it is classified as 41, namely having the SiC feature at 11.3μm from a carbon-rich dust shell. We have obtained optical and near infrared spectra in the same period, but they show different chemical natures. We suggest that FI Lyr is a good candidate of a binary system consisting of carbon-rich and oxygen-rich companions.

scholarly journals Anomalous Spectral Types and Intrinsic Colors of Young Stars

2015 ◽  
Vol 10 (S314) ◽  
pp. 85-90 ◽  
Author(s):  
Mark J. Pecaut
Keyword(s):  
Infrared Spectra ◽  
Spectral Type ◽  
Main Sequence ◽  
Near Infrared ◽  
Systematic Errors ◽  
Optical Spectra ◽  
Young Stars ◽  
Main Sequence Stars ◽  
Near Infrared Spectra ◽  
Dynamical Masses

AbstractWe highlight differences in spectral types and intrinsic colors observed in pre-main sequence (pre-MS) stars. Spectral types of pre-MS stars are wavelength-dependent, with near-infrared spectra being 3-5 spectral sub-classes later than the spectral types determined from optical spectra. In addition, the intrinsic colors of young stars differ from that of main-sequence stars at a given spectral type. We caution observers to adopt optical spectral types over near-infrared types, since Hertzsprung-Russell (H-R) diagram positions derived from optical spectral types provide consistency between dynamical masses and theoretical evolutionary tracks. We also urge observers to deredden pre-MS stars with tabulations of intrinsic colors specifically constructed for young stars, since their unreddened colors differ from that of main sequence dwarfs. Otherwise, V-band extinctions as much as ~0.6 mag erroneously higher than the true extinction may result, which would introduce systematic errors in the H-R diagram positions and thus bias the inferred ages.

scholarly journals Optical and Near-infrared Spectra ofσOrionis Isolated Planetary-mass Objects

2017 ◽  
Vol 842 (1) ◽  
pp. 65 ◽  
Author(s):  
M. R. Zapatero Osorio ◽  
V. J. S. Béjar ◽  
K. Peña Ramírez
Keyword(s):  
Infrared Spectra ◽  
Near Infrared ◽  
Planetary Mass ◽  
Near Infrared Spectra

Design and characterization of protein films for modeling near-infrared spectra of human tissue

The Analyst ◽  
2015 ◽  
Vol 140 (12) ◽  
pp. 3981-3988 ◽  
Author(s):  
Sanjeewa R. Karunathilaka ◽  
Gary W. Small
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Infrared Spectra ◽  
Human Tissue ◽  
Near Infrared ◽  
Laboratory Simulation ◽  
Protein Films ◽  
Near Infrared Spectra

Films of keratin and collagen proteins are fabricated for use in implementing a laboratory simulation of noninvasive glucose measurements based on transmission near-infrared spectroscopy of human tissue.

Characterization of Soil Water Content Using Measured Visible and Near Infrared Spectra

2006 ◽  
Vol 70 (4) ◽  
pp. 1295-1302 ◽  
Author(s):  
A. M. Mouazen ◽  
R. Karoui ◽  
J. De Baerdemaeker ◽  
H. Ramon
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra

scholarly journals Variable selection in near infrared spectra for the biological characterization of soil and earthworm casts

2008 ◽  
Vol 40 (7) ◽  
pp. 1975-1979 ◽  
Author(s):  
Lauric Cécillon ◽  
Nathalie Cassagne ◽  
Sonia Czarnes ◽  
Raphaël Gros ◽  
Jean-Jacques Brun
Keyword(s):  
Variable Selection ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Biological Characterization ◽  
Earthworm Casts ◽  
Near Infrared Spectra

A Comparison of Fourier and Wavelet Transforms in the Processing of near Infrared Spectroscopic Data: Part 1. Data Compression

2003 ◽  
Vol 11 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Tom Fearn ◽  
Anthony M.C. Davies
Keyword(s):  
Data Compression ◽  
Infrared Spectra ◽  
Wavelet Transforms ◽  
Spectroscopic Data ◽  
Near Infrared ◽  
Spectral Imaging ◽  
Good Choice ◽  
Near Infrared Spectra ◽  
Infrared Spectroscopic ◽  
Recent Trends

The advent of spectral imaging and recent trends towards the compilation of large spectral databases have caused renewed interest in the compression of near infrared spectra for purposes of storage. A comparison of approaches using Fourier and wavelet transforms shows that wavelets are generally, though not always, more efficient than Fourier at compressing near infrared spectra. The Daubechies extremal phase wavelet of order 4 is a good choice for this purpose.

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