scholarly journals Interferometric Observations for O-Containing Organic Molecules Towards Orion-KL

1994 ◽  
Vol 140 ◽  
pp. 238-240
Author(s):  
Y. C. Minh ◽  
M. Ohishi ◽  
D. G. Roh ◽  
M. Ishiguro
Keyword(s):  
Spatial Distribution ◽  
Spatial Resolution ◽  
Organic Molecules ◽  
High Spatial Resolution ◽  
Angular Size ◽  
The Core ◽  
Resolution Observation ◽  
Total Column

AbstractHigh spatial resolution observation (~ 5 arcsec) were made for CH3OH, HCOOCH3, and (CH3)2O toward Orion-KL using the Nobeyama Millimeter Array. The spatial distribution of CH3OH appears to be well elongated along the line connecting IRc2 and “the southern condensation (SC)”. The HCOOCH3 and (CH3)2O emissions appear to be well concentrated to SC with an angular size of ~ 6.5 arcsec. We derive the total column densities 6.8 × 1017cm−2, 1.4 × 1016cm−2 and 2.7 × 1016cm−2 for CH3OH, HCOOCH3, and (CH3)2O, respectively, at the core of SC.

scholarly journals An Interferometric Observation of the NGC 7538 Molecular Cloud Core

1994 ◽  
Vol 140 ◽  
pp. 257-257
Author(s):  
Osamu Kameya ◽  
Ryohei Kawabe ◽  
Koh-Ichiro Morita ◽  
Masato Ishiguro ◽  
Naomi Hirano
Keyword(s):  
Spatial Resolution ◽  
Molecular Cloud ◽  
High Spatial Resolution ◽  
Primary Beam ◽  
Detailed Structure ◽  
Field Center ◽  
Resolution Observation ◽  
Interferometric Observation ◽  
Cloud Core

A high-spatial-resolution observation of the NGC 7538 molecular cloud core has been performed with the Nobeyama Millimeter Array. We report on the detailed structure of the region including IRS1-3 complex and IRS11 based on the CS J = 1−0 line observational results.The observation was done in December, 1988. The field center was at R.A. (1950)=23h11m36.8s, Dec (1950)=61° 11′ 10″ which is between IRS1-3 complex and IRS11. The primary beam, 2.5’(FWHM), was large enough to cover both IRS1-3 complex and IRS11. We used 18 baselines, and the synthesized beam became 10.6″×10.4″ (natural weight).

scholarly journals Technique for Measuring Spatial Distribution of the Surface Acoustic Wave Velocity in Metals

2016 ◽  
Vol 41 (4) ◽  
pp. 741-746 ◽  
Author(s):  
Oleh Mokryy ◽  
Oleksandr Tsyrulnyk
Keyword(s):  
Spatial Distribution ◽  
Spatial Resolution ◽  
Rayleigh Waves ◽  
High Spatial Resolution ◽  
Steel Specimen ◽  
Precise Determination ◽  
Local Velocity ◽  
A Value ◽  
Spatially Inhomogeneous

Abstract In this paper a possibility of determining a local velocity of the surface acoustic Rayleigh waves using a transducer, with the rigidly connected emitting and receiving parts, is considered. A problem on spatial resolution of such a transducer for investigation of inhomogeneous specimens is also examined. A high spatial resolution can be obtained due to the transducer displacement by a value less than the distance between the emitting and receiving parts. It is shown that in this case it is not necessary to measure the transducer displacement with a high accuracy for precise determination of the velocity. Such an effect is obtained through measuring the velocity of surface waves in one local region of the specimen with respect to the other. The criterion for optimal spatial resolution selection during spatially inhomogeneous specimens study is also proposed. The proposed criterion use is illustrated on the example of the determination of spatial distribution of the surface acoustic velocity in a steel specimen subjected to inhomogeneous plastic deformation.

scholarly journals Abundances of Organic Molecules in Molecular Cloud Cores

2004 ◽  
Vol 213 ◽  
pp. 173-176
Author(s):  
Edmund C. Sutton ◽  
Andrej M. Sobolev
Keyword(s):  
Dimethyl Ether ◽  
Spatial Resolution ◽  
Molecular Cloud ◽  
Organic Molecules ◽  
Methyl Formate ◽  
High Spatial Resolution ◽  
Independent Method ◽  
The Status ◽  
Cloud Cores

Molecular cloud cores are often found to contain regions with high abundances of organic molecules such as formaldehyde, methanol, ethanol, dimethyl ether, and methyl formate. First we will review the status of observations of these molecules in a number of sources and discuss some of the limitations of present techniques. Then we will discuss systematic factors involved in the conversion of column densities into fractional abundances and introduce an independent method of calibrating that conversion. Finally we will present recent results from high spatial resolution observations of W3(OH).

scholarly journals Extraction of Information on Trees outside Forests Based on Very High Spatial Resolution Remote Sensing Images

Forests ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 835 ◽  
Author(s):  
Bin Sun ◽  
Zhihai Gao ◽  
Longcai Zhao ◽  
Hongyan Wang ◽  
Wentao Gao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Northern China ◽  
Sandy Land ◽  
Forest Protection ◽  
Feature Spaces ◽  
Very High Spatial Resolution ◽  
Very High

The sparse Ulmus pumila L. woodland in the Otingdag Sandy Land of China is indispensable in maintaining the ecosystem stability of the desertified grasslands. Many studies of this region have focused on community structure and analysis of species composition, but without consideration of spatial distribution. Based on a combination of spectral and multiscale spatial variation features, we present a method for automated extraction of information on the U. pumila trees of the Otingdag Sandy Land using very high spatial resolution remote sensing imagery. In this method, feature images were constructed using fused 1-m spatial resolution GF-2 images through analysis of the characteristics of the natural geographical environment and the spatial distribution of the U. pumila trees. Then, a multiscale Laplace transform was performed on the feature images to generate multiscale Laplacian feature spaces. Next, local maxima and minima were obtained by iteration over the multiscale feature spaces. Finally, repeated values were removed and vector data (point data) were generated for automatic extraction of the spatial distribution and crown contours of the U. pumila trees. Results showed that the proposed method could overcome the lack of universality common to image classification methods. Validation indicated the accuracy of information extracted from U. pumila test data reached 82.7%. Further analysis determined the parameter values of the algorithm applicable to the study area. Extraction accuracy was improved considerably with a gradual increase of the Sigma parameter; however, the probability of missing data also increased markedly after the parameter reached a certain level. Therefore, we recommend the Sigma value of the algorithm be set to 90 (±5). The proposed method could provide a reference for information extraction, spatial distribution mapping, and forest protection in relation to the U. pumila woodland of the Otingdag Sandy Land, which could also support improved ecological protection across much of northern China.

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