• Title/Summary/Keyword: Optical properly

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Dose Evaluation at The Build Up Region Using by Wedge Filter (쐐기필터 사용에 따른 선량증가 영역에서 선량평가)

  • Kim, Yon-Lae;Moon, Seong-Kong;Suh, Tae-Suk;Chung, Jin-Beom;Kim, Jin-Young;Lee, Jeong-Woo
    • Journal of radiological science and technology
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    • v.37 no.4
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    • pp.341-348
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    • 2014
  • Wedge filter could use to increase the dose distribution at the hot dose regions. We evaluated dose discrepancy at surface and build region in the infield and outfield that Metal Wedge (MW) and Enhance Dynamic Wedge (EDW) were interact with photon. In this paper, we used Gafchromic EBT3 film that had excellent spatial resolution, composed the water equivalent materials and changed the optical density without development. The set up conditions of linear accelerator were fixed 6 MV photon, 100 cm SSD, $10{\times}10cm^2$ field size and were irradiated 400 cGy at Dmax. The dose distribution and absorbed dose were evaluated when we compared the open field with $15^{\circ}$, $30^{\circ}$, $45^{\circ}$ metal wedge and enhanced dynamic wedge. A $15^{\circ}$ metal wedge could increase the surface and build up region dose than using a $15^{\circ}$ enhanced dynamic wedge. A $30^{\circ}$ metal wedge could decrease the surface and build up region dose than using a $30^{\circ}$ enhanced dynamic wedge. A $45^{\circ}$ metal wedge could decrease by large deviation the surface and build up region dose than using a $15^{\circ}$ enhanced dynamic wedge. The dose of penumbra region at outfield were increased on the thick side but were decreased on the thin side. It could be decrease the surface dose and build up region dose, if the metal wedge filters were properly used to make a good dose distribution and not closed the distance of surface.

ALGORITHMS FOR MOVING OBJECT DETECTION: YSTAR-NEOPAT SURVEY PROGRAM (이동천체 후보 검출을 위한 알고리즘 개발: YSTAR-NEOPAT 탐사프로그램)

  • Bae, Young-Ho;Byun, Yong-Ik;Kang, Yong-Woo;Park, Sun-Youp;Oh, Se-Heon;Yu, Seoung-Yeol;Han, Won-Young;Yim, Hong-Suh;Moon, Hong-Kyu
    • Journal of Astronomy and Space Sciences
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    • v.22 no.4
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    • pp.393-408
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    • 2005
  • We developed and compared two automatic algorithms for moving object detections in the YSTAR-NEOPAT sky survey program. One method, called starlist comparison method, is to identify moving object candidates by comparing the photometry data tables from successive images. Another method, called image subtraction method, is to identify the candidates by subtracting one image from another which isolates sources moving against background stars. The efficiency and accuracy of these algorithms have been tested using actual survey data from the YSTAR-NEOPAT telescope system. For the detected candidates, we performed eyeball inspection of animated images to confirm validity of asteroid detections. Main conclusions include followings. First, the optical distortion in the YSTAR-NEOPAT wide-field images can be properly corrected by comparison with USNO-B1.0 catalog and the astrometric accuracy can be preserved at around 1.5 arcsec. Secondly, image subtraction provides more robust and accurate detection of moving objects. For two different thresholds of 2.0 and $4.0\sigma$, image subtraction method uncovered 34 and 12 candidates and most of them are confirmed to be real. Starlist comparison method detected many more candidates, 60 and 6 for each threshold level, but nearly half of them turned out to be false detections.