10,590 research outputs found
Constraint on the solar Δm2 using 4000 days of short baseline reactor neutrino data constraint on the solar Δm2 using ... Hernandez Cabezudo, Parke, and SEO
No full text© 2019 authors. Published by the American Physical Society.There is a well-known 2σ tension in the measurements of the solar Δm2 between KamLAND and SNO/Super-KamioKANDE. Precise determination of the solar Δm2 is especially important in connection with current and future long baseline CP violation measurements. Seo and Parke [Phys. Rev. D 99, 033012 (2019)PRVDAQ2470-001010.1103/PhysRevD.99.033012] points out that currently running short baseline reactor neutrino experiments, Daya Bay and RENO, can also constrain solar Δm2 value as demonstrated by a GLoBES simulation with a limited systematic uncertainty consideration. In this work, the publicly available data, from Daya Bay (1958 days) and RENO (2200 days) are used to constrain the solar Δm2. Verification of our method through Δmee2 and sin2θ13 measurements is discussed in Appendix A. Using this verified method, reasonable constraints on the solar Δm2 are obtained using above Daya Bay and RENO data, both individually and combined. We find that the combined data of Daya Bay and RENO set an upper limit on the solar Δm2 of 18×10-5 eV2 at the 95% C.L., including both systematic and statistical uncertainties. This constraint is slightly more than twice the KamLAND value. As this combined result is still statistics limited, even though driven by Daya Bay data, the constraint will improve with the additional running of this experiment11Nsciescopu
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No full text학위논문(석사)아주대학교 산업대학원 :정보전자공학과,2012. 2본 논문에서는 반도체 제조공정 중 화학기상증착(CVD : Chemical Vapor Deposition) 공정에서 사용되는 열전달장치(Heater)의 소재 특성과 비교를 연구하였다. 열전달장치(Heater)는 반도체 제조공정에서 원하는 막질을 얻기 위한 필수적인 장치이며 소재 특성에 따라 막질의 두께 및 온도구배의 편차를 확인 할 수 있었다. 본 논문에서 소개되는 열전달장치(Heater)의 소재는 알루미늄과 산화알루미늄이며 알루미늄의 경우 막질을 얻기 위하여 인위적인 플라즈마 인가 시 열전달장치(Heater)에 국부적인 손상(Arcing)을 가져오며 이로 인한 불량을 초래하며 막질에서 우수한 특성을 평가하는 기준인 막질의 두께가 기준치 이하로 감소되는 현상을 가져 온다 또한 소재의 무른 특성으로 인하여 표면에 흠집이 발생되기도 한다. 반면 알루미늄에 산화막을 코팅한 산화알루미늄 열전달장치(Heater)의 경우 알루미늄 열전달장치(Heater)에서 발생되는 국부적 손상(Arcing)에 대해 우수하며 막질 두께 역시 기준치에 도달함을 확인하였다. 본 논문에서는 이러한 두 소재간의 특성을 이해하기 위하여 열 전달계수를 통한 열전달장치(Heater)의 온도구배를 이론값과 실험값을 비교 확인하고 막질의 두께를 검증하여 반도체 제조공정에서의 우수한 막질특성을 유지하며 산화알루미늄으로 코팅된 열전달장치(heater) 사용을 통해 반복되는 불량을 방지하고 우수한 막질특성을 얻을 수 있을 것으로 생각된다.목 차 (List of Text)
국문요약
ABSTRACT
1. 서 론................................................................................1
1.1.반도체 공업............................................................................ 1
1.1.1. 반도체 공업의 특징.................................................................. 1
2. 본 론............................................................................................................... 2
2.1 반도체의 원리와 종류...................................................................... 2
2.1.1 반도체의 원리........................................................................... 2
2.1.2 반도체의 종류........................................................................... 5
2.2. 반도체 제조 원료............................................................................ 7
2.2.1. 실리콘 단결정(single crystal)................................................. 7
2.2.1.1. 초크랄스키법(CZ법) .........................................................8
2.2.1.2. 플롯존법(Float Zone Method, FZ).................................12
2.2.1.3. 그 외의 결정 성장법........................................................15
2.2.2. 반도체 가스와 약품..............................................................15
2.2.2.1. 반도체 특수가스..............................................................15
2.2.2.2. 반도체 화학약품..............................................................18
2.3. 반도체 제조 기술........................................................................19
2.3.1. 웨이퍼 세척..........................................................................19
2.3.1.1. 웨이퍼 표면의 오염원과 오염원의 검출.........................19
2.3.1.2. 웨이퍼 세척 과정...........................................................21
2.3.2. 에칭......................................................................................23
2.3.2.1. 습식 식각.......................................................................23
2.3.2.1.1. 실리콘의 습식 식각.................................................26
2.3.2.1.2. 열산화막의 습식 식각..............................................27
2.3.2.1.3. 질화 실리콘의 습식 식각........................................28
2.3.2.2. 건식 식각.......................................................................29
2.3.3. 이온주입 (Ion Implantation)...................................................33
2.3.3.1. 개요...................................................................................33
2.3.3.2.이온주입 장비.....................................................................36
2.3.3.3. 이온 주입의 특징 및 응용.................................................37
2.3.3.4. 비정질에서의 이온 주입 : 에너지 손실...........................39
2.3.3.5. 단결정에서의 이온 주입....................................................40
2.3.3.6. 손상(Damage) 및 어닐링(Annealing)...............................41
2.3.3.7. 소자 및 집적회로 기술에 미치는 영향..............................43
2.3.4. 박막 증착의 기술 및 공정.......................................................44
2.3.4.1. 개요...................................................................................44
2.3.4.2. 기화법 (Evaporation)........................................................45
2.3.4.3. 화학 기상 증착(Chemical Vapor Deposition).................46
2.3.4.4. 스퍼터 증착(Sputter deposition)......................................51
2.4. 화학기상증착법의 소개.................................................................55
2.4.1. 화학기상증착법 (Chemical Vapor Deposition: CVD)............55
2.4.2. CVD의 정의 및 원리...............................................................58
2.4.3. CVD법의 장점.........................................................................59
2.4.4. CVD법의 단점.........................................................................59
2.4.5. CVD 장비의 기본구성.............................................................60
2.4.6. CVD System 의 분류.............................................................60
2.5. 열전달장치 (Heater)....................................................................68
2.5.1. 열전달장치(Heater) 및 화학기상증착 장비의 구성.................62
2.6.산화알루미늄(Al2O3)과 열전달장치(Heater)의 산화알루미늄 박막형
성....................................................................................................64
2.6.1. 산화알루미늄 (Al2O3)...............................................................64
2.6.2. 열전달장치(Heater)의 산화알루미늄 박막형성........................66
2.6.2.1. 미세양극산화 (Micro Arc Oxidation):MAO.......................66
2.7. 실험의 진행..................................................................................68
2.7.1. 실험결과...................................................................................70
3. 결론.....................................................................................................73참고문헌...................................................................................................74Maste
Constraints on the solar Δm2 using Daya Bay and RENO data
No full textWe demonstrate that the currently running short baseline reactor experiments, especially Daya Bay, can put a significant upper bound on Δm212. This novel approach to determining Δm212 can be performed with the current data of both Daya Bay and RENO and provides additional information on Δm212 in a different L/E range (∼0.5 km/MeV) for an important consistency check on the 3 flavor massive neutrino paradigm. Upper limits by Daya Bay and RENO and a possible lower limit from Daya Bay, before the end of 2020, will be the only new information on this important quantity until the medium baseline reactor experiment, JUNO, gives a very precise measurement in the middle of the next decade. In this study θ12 value is fixed since its impact on the Δm212 measurement is relatively small as discussed in the Appendix. © 2019 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the https://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by SCOAP 3. c.Published by the American Physical Society11sci
Cleavage Site of Class II-S Restriction Endo-nuclease HphI Depends on Nearby DNA Sequence
No full textPiano Studio Recital of Seo Hee Kang & Olena Rybachok
No full textStudents of See Hee Kang and Olena Rybachok featuring works by Chopin, Bach, Mozart, and Faure.https://digitalcommons.andrews.edu/events-2018-2019/1011/thumbnail.jp
The effects of knowledge network characteristics on R&D alliance formation
No full textFirms' knowledge characteristics shape their research and development (R&D alliance activities). When denoting the characteristics, the alliance literature has exclusively focused on firms' internal knowledge characteristics, leaving structural properties of their knowledge relatively unexplored. Therefore, this study aims to investigate how firms' knowledge network characteristics are associated with the propensity to ally. By using 235,024 unique alliance dyads between U.S. semiconductor firms and their potential partners, we examine the effects of two knowledge network characteristics - degree centrality and structural holes - on alliance formation. We further examine the joint effects of the knowledge network characteristics. Our findings reveal the curvilinear relationship between degree centrality and the likelihood of alliance formation. We also find support for the positive joint effects on the likelihood of alliance formation. These findings provide implications for the varying propensity to ally associated with the knowledge network characteristics, i.e. structural positions of a firm's knowledge elements in the sector-level knowledge network.
Stroscope: Multi-Scale Visualization of Irregularly Measured Time-Series Data
No full textFor irregularly measured time-series data, the measurement frequency or interval is as crucial information as measurements are. A well-known time-series visualization such as the line graph is good at showing an overall temporal pattern of change; however, it is not so effective in revealing the measurement frequency/interval while likely giving illusory confidence in values between measurements. In contrast, the bar graph is more effective in showing the frequency/interval, but less effective in showing an overall pattern than the line graph. We integrate the line graph and bar graph in a unified visualization model, called a ripple graph, to take the benefits of both of them with enhanced graphical integrity. Based on the ripple graph, we implemented an interactive time-series data visualization tool, called Stroscope, which facilitates multi-scale visualizations by providing users with a graphical widget to interactively control the integrated visualization model. We evaluated the visualization model (i.e., the ripple graph) through a controlled user study and Stroscope through long-term case studies with neurologists exploring large blood pressure measurement data of stroke patients. Results from our evaluations demonstrate that the ripple graph outperforms existing time-series visualizations, and that Stroscope has the efficacy and potential as an effective visual analysis tool for (irregularly) measured time-series data.N
Mitosis-specific phosphorylation of Mis18α by Aurora B kinase enhances kinetochore recruitment of polo-like kinase 1
No full textMis18α, a component of Mis18 complex comprising of Mis18α, Mis18β, and M18BP1, is known to localize at the centromere from late telophase to early G1 phase and plays a priming role in CENP-A deposition. Although its role in CENP-A deposition is well established, the other function of Mis18α remains unknown. Here, we elucidate a new function of Mis18α that is critical for the proper progression of cell cycle independent of its role in CENP-A deposition. We find that Aurora B kinase phosphorylates Mis18α during mitosis not affecting neither centromere localization of Mis18 complex nor centromere loading of CENP-A. However, the replacement of endogenous Mis18α by phosphorylation-defective mutant causes mitotic defects including micronuclei formation, chromosome misalignment, and chromosomal bridges. Together, our data demonstrate that Aurora B kinase-mediated mitotic phosphorylation of Mis18α is a crucial event for faithful cell cycle progression through the enhanced recruitment of polo-like kinase 1 to the kinetochore. © Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY
3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.1
Supplemental material for Left ventricular wall motion abnormality is associated with cryptogenic stroke
No full textSupplemental Material for Left ventricular wall motion abnormality is associated with cryptogenic stroke by Jeong-Yoon Choi, Jaehyung Cha, Jin-Man Jung, Woo-Keun Seo, Kyungmi Oh, Kyung-Hee Cho and Sungwook Yu in International Journal of Stroke</p
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