scholarly journals Near‐Infrared Spectroscopy of Molecular Hydrogen Emission in Four Reflection Nebulae: NGC 1333, NGC 2023, NGC 2068, and NGC 7023

1999 ◽  
Vol 526 (2) ◽  
pp. 772-787 ◽  
Author(s):  
Paul Martini ◽  
K. Sellgren ◽  
D. L. DePoy
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Molecular Hydrogen ◽  
Near Infrared ◽  
Hydrogen Emission ◽  
Reflection Nebulae

scholarly journals Near-Infrared Spectroscopy of Seyfert and Starburst Galaxies

1989 ◽  
Vol 134 ◽  
pp. 301-302
Author(s):  
Minoru Nishida ◽  
Kimiaki Kawara
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Atomic Hydrogen ◽  
Molecular Hydrogen ◽  
Near Infrared ◽  
Starburst Galaxies ◽  
Interacting Galaxies ◽  
Infrared Spectrometer

The Brackett α and γ lines of atomic hydrogen, molecular hydrogen H2 v=1-0 S(1) line and [FeII] 1.644 μm line were observed in type 1 and type 2 Seyferts, LINERS, starburst galaxies, and interacting galaxies. For the observations, the Infrared Spectrometer (IRS) with an array of eight InSb detectors was used on the CTIO 4 m and 1.5 m telescopes. The effective size of the slit is 6.8″x4.3″ on the 4 m and 10.3″x20.7″ on the 1.5 m. The resolution of the IRS was 290 km s−1 at 2 μm.

Near-infrared spectroscopy (NIRS) – a promising brain imaging method in Psychiatry?

2008 ◽  
Vol 39 (01) ◽  
Author(s):  
AJ Fallgatter ◽  
AC Ehlis ◽  
MM Richter ◽  
M Schecklmann ◽  
MM Plichta
Keyword(s):  
Infrared Spectroscopy ◽  
Brain Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Imaging Method

A Study of Frontal Signals in Brain Computer Interfaces: Interpretation of EEG & FNIRS

2020 ◽  
pp. 136-142
Author(s):  
S. Srilekha ◽  
B. Vanathi
Keyword(s):  
Infrared Spectroscopy ◽  
Healthy Subject ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Conditions ◽  
Brain Computer Interfaces ◽  
Functional Near Infrared Spectroscopy ◽  
Computer Interfaces ◽  
Rehabilitation Devices

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.

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