• Title/Summary/Keyword: polarimetric

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Study of the Lunar Regolith using Multi-band Polarimetric Observations

  • Kim, Sungsoo S.;Jung, Minsup;Sim, ChaeKyung;Kim, Il-Hoon;Min, Kyoung Wook;Jin, Ho
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.1
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    • pp.65.2-65.2
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    • 2014
  • 태양 빛이 달 표면에서 반사될 때는 일부가 편광 된다. 이러한 월면 편광은 달 표토층 입자의 크기와 성분을 알려주는 중요한 정보이나, 이전의 달 궤도선에서는 한 번도 탐사되지 않았다. 또한 달 탐사임무에 있어 틈새시장인 월면 특이지역 연구에도 편광이 중요한 기초자료를 제공한다는 사실이 최근 밝혀졌다. 이에 본 연구진은 한국형 달 탐사선을 위한 우리나라 고유의 창의적 과학 임무 중 하나로 <월면 다파장 편광 탐사>를 제안하며, 이러한 탐사에 필요한 기초연구 및 선행연구를 수행하고 있다. 본 발표에서는 우리가 수행한 지상으로부터의 다파장 편광 관측 결과를 보고하고, 최근 시작한 랩실험과 컴퓨터 시뮬레이션 실험에 대해 소개할 것이다.

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MAGNETIC FIELDS IN BRIGHT-RIMMED CLOUDS AND COMETARY GLOBULES TRACED USING R-BAND POLARIZATION OBSERVATIONS

  • SOAM, ARCHANA;GOPINATHAN, MAHESWAR;LEE, CHANG WON;BHATT, HRISH
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.87-88
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    • 2015
  • We present results of our R-band polarimetry of a bright-rimmed cloud, IC1396A (with BRC 36), associated with the H II region S131 and the cometary globule LDN 1616 to study their magnetic field geometry. The distances of these clouds have been reported to be ~ 750 pc and ~ 450 pc, respectively in the literature. The young open cluster Trumpler 37 in the vicinity of IC1396A and the high mass stars in the Orion belt near L1616 are found to be responsible for the structure of these clouds. We made polarimetry of foreground stars inferred from their distances measured by the Hipparcos satellite to subtract the foreground contribution to the observed polarization results. We discuss the optical polarimetric results and compare our findings with MHD simulations towards BRCs and CGs.

Near-IR Polarimetry Survey of the Large Magellanic Cloud: Relationship between the polarization degree and the color

  • Kim, Jaeyeong;Pak, Soojong;Kang, Wonseok;Choi, Minho
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.100.2-100.2
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    • 2012
  • We performed near-IR imaging polarimetry of the $5{\times}9$ fields (${\sim}39^{\prime}{\times}69^{\prime}$) around 30 Doradus in the Large Magellanic Cloud (LMC), using the InfraRed Survey Facility (IRSF). We obtained polarimetry data in the J, H, and Ks bands using the JHKs-simultaneous imaging polarimeter SIRPOL in 2008 December and 2011 December. With the reliable LMC field data which were selected using a bad-data-rejection algorithm, we measured Stokes parameters of point-like sources to derive the degree of polarization and the polarization position angle. We present physical relationship between the three bands using the photometric and the polarimetric properties of the sources.

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Seperation of foreground stars using proper motion data in the Large Magellanic Cloud

  • Kim, Jae-Yeong;Pak, Soo-Jong;Choi, Min-Ho;Kandori, Ryo;Tamura, Motohide;Nagata, Tetsuya;Kwon, Jung-Mi;Kato, Daisuke;Jaffe, Daniel T.
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.1
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    • pp.31.1-31.1
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    • 2011
  • We present wide-field near-IR imaging polarimetry of 30 Doradus in the Large Magellanic Cloud, using the InfraRed Survey Facility (IRSF). We obtained polarimetry data in J, H, and Ks bands using the JHKs-simultaneous imaging polarimeter SIRPOL. Since many Galactic field stars along the line-of-sight to the Large Magellanic Cloud are contaminated in our data, we developed methods to identify the foreground sources using the proper motion data. We investigated polarimetric properties between the Galactic foreground stars and the stars in the LMC.

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An Object Oriented Approach for Multi-Channel and Multi-Polarization NASA/JPL POLSAR Image Classification

  • Tsay, Jaan-Rong;Lin, Chia-Chu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.363-365
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    • 2003
  • This paper presents an object oriented approach(OOA) for classification of multi-channel and multi-polarization NASA/JPL POLSAR images. Some test results in Taiwan are also given and analyzed. It is concluded that this approach can utilize as more information of both low- and high-levels involved in all images as possible for image classification and thus provides a better classification accuracy. For instance, the OOA has a better overall classification accuracy(98.27%) than the nearest-neighbor classifier(91.31%) and minimum-distance classifier(80.52%).

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Radar Remote Sensing of Soil Moisture and Surface Roughness for Vegetated Surfaces

  • Oh, Yi-Sok
    • Korean Journal of Remote Sensing
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    • v.24 no.5
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    • pp.427-436
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    • 2008
  • This paper presents radar remote sensing of soil moisture and surface roughness for vegetated surfaces. A precise volume scattering model for a vegetated surface is derived based on the first-order radiative transfer technique. At first, the scattering mechanisms of the scattering model are analyzed for various conditions of the vegetation canopies. Then, the scattering model is simplified step by step for developing an appropriate inversion algorithm. For verifying the scattering model and the inversion algorithm, the polarimetric backscattering coefficients at 1.85 GHz, as well as the ground truth data, of a tall-grass field are measured for various soil moisture conditions. The genetic algorithm is employed in the inversion algorithm for retrieving soil moisture and surface roughness from the radar measurements. It is found that the scattering model agrees quite well with the measurements. It is also found that the retrieved soil moisture and surface roughness parameters agree well with the field-measured ground truth data.

Application of Random Forests to Assessment of Importance of Variables in Multi-sensor Data Fusion for Land-cover Classification

  • Park No-Wook;Chi kwang-Hoon
    • Korean Journal of Remote Sensing
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    • v.22 no.3
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    • pp.211-219
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    • 2006
  • A random forests classifier is applied to multi-sensor data fusion for supervised land-cover classification in order to account for the importance of variable. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. The distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Two different multi-sensor data sets for supervised classification were used to illustrate the applicability of random forests: one with optical and polarimetric SAR data and the other with multi-temporal Radarsat-l and ENVISAT ASAR data sets. From the experimental results, the random forests approach could extract important variables or bands for land-cover discrimination and showed reasonably good performance in terms of classification accuracy.

A thermal microwave emission model for row-structured vegetation (이방성 물질의 마이크로파대역 열 발산 모델)

  • Eom, Hyo J.
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.3 no.2
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    • pp.40-45
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    • 1992
  • A simple emission model applicable for low scattering (scattering << absorption) anisotropic layer is developed and applied to the interpretation of measurements of microwave emission from row crops. The vegetation layer of row crops is modeled as a random slab embedded with small spheroid with major axis aligend paralel to the crop-row direction. The total emission is given in a simple algebraic form based on the zero-order radiative transfer theory. The single scattering albedo for spheroid and its polarimetric phase function are presented. The effects of layer azimuthal dependence on emission are accounted for by using an anisotropic albedo in the zero-order transfer theory. The developed emission theory favorably compares with the brightness temperature measured over soybeans canopy.

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KVN unveils the plasma physics of AGN

  • Trippe, Sascha
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.51.3-51.3
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    • 2019
  • Its ability to measure the polarization of light at four frequencies makes the KVN a "plasma physics observatory" that can probe the internal physics (e.g., magnetic fields, outflow geometries) of AGN radio jets and cores. We initiated a Key Science Program, the Plasma-physics of Active Galactic Nuclei (PAGaN) project, dedicated to polarimetric monitoring of 14 radio-bright AGN. We have been able to measure the Faraday rotation measure of the cores of our targets as function of frequency; the observed scaling relation is in good agreement with conically expanding outflows to first order. We are further probing a polarized hotspot in the jet of 3C84 and possible systematic differences in the Faraday rotation in BL Lacertae objects and flat spectrum radio quasars.

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BISTROs and Varying Magnetic Fields with Density in Serpens Main

  • Kwon, Woojin
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.57.4-58
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    • 2020
  • The B-fields in Star-forming Region Observations (BISTRO) is a large program of the James Clerk Maxwell Telescope (JCMT) to study the roles of magnetic fields in molecular clouds on intermediate scales (a few thousands au or larger scales), in which a large number of researchers over the world are involved. This project was initiated in 2016 with polarimetric observations of nearby star-forming regions and has been extended toward massive and farther regions (BISTRO-2) and various evolutionary stages and environmental conditions (BISTRO-3). The current status of the BISTRO projects is reported. In addition, we discuss magnetic fields in the Serpens Main molecular cloud, which is one of the BISTRO star-forming regions. Utilizing the Histogram of Relative Orientations method, which compares polarization directions with density gradients, we show that magnetic fields are parallel to filaments in less dense filamentary structures but perpendicular to dense ones. Furthermore, the magnetic field directions with respect to density gradients vary again with density in denser core regions, which is understood by core formation and pinched fields. Note: (PI) D. Ward-Thompson, (co-PIs) P. Bastien, T. Hasegawa, W. Kwon, S. Lai, and K. Qiu

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