• Title/Summary/Keyword: NASA

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Development of state-of-the-art detectors for X-ray astronomy

  • Lee, Sang Jun;Adams, J.S.;Audley, H.E.;Bandler, S.R.;Betancourt-Martinez, G.L.;Chervenak, J.A.;Eckart, M.E.;Finkbeiner, F.M.;Kelley, R.L.;Kilbourne, C.A.;Porter, F.S.;Sadleir, J.E.;Smith, S.J.;Wassell, E.J.
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.1
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    • pp.53.3-54
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    • 2015
  • We are developing large arrays of X-ray microcalorimeters for applications in X-ray astronomy. X-ray microcalorimeters can detect the energy of X-rays with extremely high resolution. High-resolution Imaging spectroscopy enabled by these arrays will allow us to study the hot and energetic nature of the Universe through the detection of X-rays from astronomical objects such as neutron stars or black holes. I will introduce the state-of-the-art X-ray microcalorimeters being developed at NASA/GSFC and the future X-ray observatory missions based on microcalorimeters.

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Analysis of NASA Student Launch as a NASA Managed University Rocket Competition (미국 NASA 주관 대학생 로켓 경진대회 : NASA Student Launch 사례 분석)

  • Lee, Hoon-Hee;Yoon, Yong-Sik;Min, Kyung-Ju
    • Aerospace Engineering and Technology
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    • v.13 no.1
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    • pp.129-141
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    • 2014
  • Since 2006, an annual rocket competition for university students in America has been held by management of NASA to support the Space Launch System. This paper describes the significance and operational aspects of NASA Student Launch, a rocket competition for university students organized by NASA Marshall Center's Academic Affairs Office, to inspire students to pursue education and careers in science, technology, engineering, or mathematics (STEM) fields, which is Furthermore, It describes briefly activities of Korean national rocket competition for university students.

Ambiguity Analysis of Defectiveness in NASA MDP Data Sets (NASA MDP 데이터 집합의 결함도 모호성 분석)

  • Hong, Euyseok
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.361-371
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    • 2013
  • Public domain defect data sets, such as NASA data sets which are available from the NASA MDP and PROMISE repositories, make it possible to compare the results of different defect prediction models by using the same data sets. This means that repeatable and general prediction models can be built. However, some recent studies have raised questions about the quality of two versions of NASA data set, and made new cleaned data sets by applying their data cleaning processes. We find that there are two ways in the NASA MDP versions to determine the defectiveness of a module, 0 or 1, and the two results are different in some cases. This serious problem, to our knowledge, has not been addressed in previous studies. To handle this ambiguity problem, we define two kinds of module defectiveness and two conditions that can be used to determine the ambiguous cases. We meticulously analyze 5 projects among the 13 NASA projects by using our ambiguity analysis method. The results show that JM1 and PC4 are the best projects with few ambiguous cases.

BITSE Instrument

  • Choi, Seonghwan;Park, Jongyeob;Yang, Heesu;Baek, Ji-Hye;Kim, Jihun;Kim, Jinhyun;Kim, Yeon-Han;Cho, Kyung-Suk;Newmark, Jeffrey S.;Gong, Qian;Nguyen, Hanson;Chang, William S.;Swinski, Joseph-Paul A.;Gopalswamy, Natchumuthuk
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.57.2-57.2
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    • 2019
  • BITSE is a balloon mission, which is a solar coronagraph to measure speed and temperature of the solar wind using 4 different wavelength filters and an pixelated polarization camera. KASI and NASA jointly designed, developed, and tested the solar coronagraph. Mainly KASI developed an imaging system and a control system, and NASA developed an optical system and mechanical structures. We mount the BITSE on Wallops Arc-Second Pointer (WASP) of Wallops Flight Facility, and launch it with a 39 mcf balloon of Columbia Scientific Ballon Facility. We will introduce the overall system of the BITSE.

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Correlation Analysis Between Soil Moisture Retrieved from Satellite Images and Ground Network Measurements (위성관측 토양수분과 지상관측망 자료의 상관성 분석)

  • Kim, Gwang-Seob;Kim, Jong-Pil
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.2
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    • pp.69-81
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    • 2011
  • The soil moisture data of the National Aeronautics and Space Administration(NASA) and the Vrije Universiteit Amsterdam(VUA) in collaboration with NASA, retrieved from Advanced Microwave Scanning Radiometer-Earth observing system(AMSR-E) brightness temperature, were collected to evaluate the applicability of the remote sensed soil moisture in South Korea. The averages of the soil moisture by in-situ sensors, by NASA and by VUA-NASA are approximately 0.218, 0.119, and $0.402m^3/m^3$, respectively. This indicates that the soil moisture of NASA was underestimated and that of VUA-NASA was overestimated. The soil moisture products of VUA-NASA showed a better relationship with the in-situ data than that of NASA data. However, there are still limitations of C-band soil moisture measurements. To improve the applicability of satellite soil moisture measurements, bias correction and other post processings are essential using in-situ soil moisture measurements at various surface conditions.

COronal Diagnostic EXperiment (CODEX)

  • Bong, Su-Chan;Kim, Yeon-Han;Choi, Seonghwan;Cho, Kyung-Suk;Newmark, Jeffrey S;Gopalswamy, Natchimuthuk;Gong, Qian;Reginald, Nelson L.;Cyr, Orville Chris St.;Viall, Nicholeen M.;Yashiro, Seiji;Thompson, Linda D.;Strachan, Leonard
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.82.2-82.3
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    • 2019
  • Korea Astronomy and Space Science Institute (KASI), in collaboration with the NASA Goddard Sparce Flight Center (GSFC), will develop a next generation coronagraph for the International Space Station (ISS). COronal Diagnostic EXperiment (CODEX) uses multiple filters to obtain simultaneous measurements of electron density, temperature, and velocity within a single instrument. CODEX's regular, systematic, comprehensive dataset will test theories of solar wind acceleration and source, as well as serve to validate and enable improvement of space-weather/operational models in the crucial source region of the solar wind. CODEX subsystems include the coronagraph, pointing system, command and data handling (C&DH) electronics, and power distribution unit. CODEX is integrated onto a standard interface which provides power and communication. All full resolution images are telemeters to the ground, where data from multiple images and sequences are co-added, spatially binned, and ratioed as needed for analysis.

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Science Goal of the Diagnostic Coronagraph on the International Space Station

  • Bong, Su-Chan;Kim, Yeon-Han;Cho, Kyung-Suk;Lee, Jae-Ok;Seough, Jungjoon;Park, Young-Deuk;Newmark, Jeffrey S.;Gopalswamy, Natchimuthuk;Viall, Nicholeen M.;Antiochos, Spiro;Arge, Charles N.;Yashiro, Seiji;Reginald, Nelson L.;Fineschi, Silvano;Strachan, Leonard
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.2
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    • pp.47.3-47.3
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    • 2018
  • The Korea Astronomy and Space Science Institute (KASI) plans to develop a coronagraph in collaboration with the National Aeronautics and Space Administration (NASA), to be installed on the International Space Station (ISS). It uses multiple filters to obtain simultaneous measurements of electron density, temperature, and velocity within a single instrument. The primary science goal is to understand the physical conditions in the solar wind acceleration region, and the secondary goal is to enable and validate the next generation of space weather science models. The planned launch in 2022 provides great potential for synergy with other solar space missions such as Solar Orbiter and Parker Solar Probe.

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Microwave Radiation Characteristics of Glacial Ice in the AMSR-E NASA Team2 Algorithm (AMSR-E NASA Team2 알고리즘에서 빙하빙의 마이크로파 복사특성)

  • Han, Hyang-Sun;Lee, Hoon-Yol
    • Korean Journal of Remote Sensing
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    • v.27 no.5
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    • pp.543-553
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    • 2011
  • Sea ice concentration calculated from the AMSR-E onboard Aqua satellite by using NASA Team2 sea ice algorithm has proven to be very accurate over sea ice in Antarctic Ocean. When glacial ice such as icebergs and ice shelves are dominant in an AMSR-E footprint, the accuracy of the ice concentration calculated from NASA Team2 algorithm is not well maintained due to the different microwave characteristics of the glacial ice from sea ice. We extracted the concentrations of sea ice and glacial ice from two ENVISAT ASAR images of George V coast in southern Antarctica, and compared them with NASA Team2 sea ice concentration. The result showed that the NASA Team2 algorithm underestimates the concentration of glacial ice. To interpret the large deviation of estimation over glacial ice, we analyzed the characteristics of microwave radiation of the glacial ice in PR(polarization ratio), GR(spectral gradient ratio), $PR_R$(rotated PR), and ${\Delta}GR$ domain. We found that glacial ice occupies a unique region in the PR, GR, $PR_R$, and ${\Delta}GR$ domain different from other types of ice such as ice type A, B, and C, and open water. This implies that glacial ice can be added as a new category of ice to the AMSR-E NASA Team2 sea ice algorithm.