• 제목/요약/키워드: Spectral range

검색결과 948건 처리시간 0.024초

A COSMOLOGICAL PAH SURVEY WITH SPICA

  • Wada, Takehiko;Egami, Eiichi;Fujishiro, Naofumi;Goto, Tomotsugu;Imanishi, Masatoshi;Inami, Hanae;Ishihara, Daisuke;Kaneda, Hidehiro;Kohno, Kotaro;Koyama, Yusei;Matsuhara, Hideo;Matsuura, Shuji;Nagao, Tohru;Ohyama, Youichi;Onaka, Takashi;Oyabu, Shinki;Pearson, Chiris;Sakon, Itsuki;Takeuchi, Tsutomu T.;Tomita, Keisuke;Yamada, Toru;Yamagishi, Mitsuhosi
    • 천문학논총
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    • 제32권1호
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    • pp.317-319
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    • 2017
  • We propose a cosmological survey to probe star formation and nuclear activity in galaxies at redshifts of z=2-4 by polycyclic aromatic hydrocarbon (PAH) features using the SPICA mid-infrared instrument (SMI) with a spectral resolution of R=20. We will cover a wavelength range of $20-36{\mu}$ that corresponds to z=2-4 for the PAH features (11.3, 7.7, and $6.2{\mu}$). The sensitivity will be $1{\times}10^{-19}W/m^2(5{\sigma})$ in case of a reference survey that covers 4 arcmin2 field in a one-hour observation. It corresponds to $L_{IR}=2{\times}10^{11}L_{\odot}$ at z=3 and will give us more than 10000 galaxies in a 450 hour survey.

AKARI OBSERVATIONS OF DUSTY TORI OF ACTIVE GALACTIC NUCLEI

  • Oyabu, Shinki;Kaneda, Hidehiro;Izuhara, Masaya;Tomita, Keisuke;Ishihara, Daisuke;Kawara, Kimiaki;Matsuoka, Yoshiki
    • 천문학논총
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    • 제32권1호
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    • pp.157-161
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    • 2017
  • The dusty torus of Active Galactic Nuclei (AGNs) is one of the important components for the unification theory of AGNs. The geometry and properties of the dusty torus are key factors in understanding the nature of AGNs as well as the formation and evolution of AGNs. However, they are still under discussion. Infrared observation is useful for understanding the dusty torus as thermal emission from hot dust with the dust sublimation temperature (~ 1500 K) has been observed in the infrared. We have analyzed infrared spectroscopic data of low-redshift and high-redshift quasars, which are luminous AGNs. For the low-redshift quasars, we constructed the spectral energy distributions (SEDs) with AKARI near-infrared and Spitzer mid-infrared spectra and decomposed the SEDs into a power-law component from the nuclei, silicate features, and blackbody components with different temperatures from the dusty torus. From the decomposition, the temperature of the innermost dusty torus shows the range between 900-2000 K. For the high-redshift quasars, AKARI traced rest-frame optical and near-infrared spectra of AGNs. Combining with WISE data, we have found that the temperature of the innermost dusty torus in high redshift quasars is lower than that in typical quasars. The hydrogen $H{\alpha}$ emission line from the braod emission line region in the quasars also shows narrow full width at half maximum of $3000-4000km\;s^{-1}$. These results indicate that the dusty torus and the broad emission line region are more extended than those of typical quasars.

PROPERTIES OF DUST OBSCURED GALAXIES IN THE NEP-DEEP FIELD

  • Oi, Nagisa;Matsuhara, Hideo;Pearson, Chris;Buat, Veronique;Burgarella, Denis;Malkan, Matt;Miyaji, Takamitsu;AKARI-NEP team
    • 천문학논총
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    • 제32권1호
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    • pp.245-249
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    • 2017
  • We selected 47 DOGs at z ~ 1.5 using optical R (or r'), AKARI $18{\mu}m$, and $24{\mu}m$ color in the AKARI North Ecliptic Pole (NEP) Deep survey field. Using the colors among 3, 4, 7, and 9µm, we classified them into 3 groups; bump DOGs (23 sources), power-law DOGs (16 sources), and unknown DOGs (8 sources). We built spectral energy distributions (SEDs) with optical to far-infrared photometric data and investigated their properties using SED fitting method. We found that AGN activity such as a AGN contribution to the infrared luminosity and a Chandra detection rate for bump and power-law DOGs are significantly different, while stellar component properties like a stellar mass and a star-formation rate are similar to each other. A specific star-formation rate range of power-law DOGs is slightly higher than that of bump DOGs with wide overlap. Herschel/PACS detection rates are almost the same between bump and power-law DOGs. On the other hand SPIRE detection rates show large differences between bump and power-law DOGs. These results might be explained by differences in dust temperatures. Both groups of DOGs host hot and/or warm dust (~ 50 Kelvin), and many bump DOGs contain cooler dust (${\leq}30$ Kelvin).

FMCW 레이더 주파수합성기용 델타-시그마 변조기의 시뮬레이션 (A Simulation of Δ-Σ Modulators for Frequency Synthesizers of FMCW Radars)

  • 황인덕;김창환
    • 한국전자통신학회논문지
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    • 제7권4호
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    • pp.707-714
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    • 2012
  • 1단 2차 다중 피드백 델타-시그마 변조기와 2단 2차 MASH 델타-시그마 변조기를 해석하였으며 Simulink와 Matlab을 사용한 시뮬레이션을 수행하여 동작 특성을 비교한 결과 다음과 같은 결과를 얻었다: 1) 두 델타-시그마 변조기는 군지연 왜곡을 일으키지 않는다. 2) 잡음 성형 성능은 거의 같으며 잡음 성형의 결과 전력 스펙트럼 밀도는 40 dB/dec의 기울기를 갖는다. 3) 스퓨리어스 톤은 없다. 4) 두 변조기의 입력 범위는 공통적으로 -1부터 1까지이다. 5) 2단 MASH 변조기는 출력이 2 비트(4 레벨)이어서 PLL의 주파수 분주기와 charge pump의 설계가 복잡해진다.

무인항공기 및 다중분광센서를 이용한 하천부유쓰레기 탐지 기법 연구 (Detection Method of River Floating Debris Using Unmanned Aerial Vehicle and Multispectral Sensors)

  • 김흥민;윤홍주;장선웅;정용현
    • 대한원격탐사학회지
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    • 제33권5_1호
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    • pp.537-546
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    • 2017
  • 본 연구는 무인항공기 및 다중분광센서를 이용한 부유쓰레기 탐지 알고리즘을 개발하고자 하였다. 또한 알고리즘을 적용하여 하천의 부유쓰레기 발생 범위를 산정하였다. 부유쓰레기 탐지 구간을 대상으로 무인항공기를 이용한 항공촬영을 통해 면적 계산이 가능한 정사영상을 생성하였으며, 분광조사를 수행하여 하천수, 스티로폼, 초목류 등의 분광학적 특성을 이용한 부유쓰레기 탐지 지수식을 산출하였다. 그리고 산출된 지수식을 이용한 센서의 밴드 조합을 통해 스티로폼을 비롯한 부유쓰레기를 탐지하였다. 탐지 지수식 적용 결과 정사영상 내 총 3지점에서 대량의 부유쓰레기 집적 구간이 확인되었으며, 탐지 대상 면적 중 집적구간을 포함한 3.6%에 해당하는 0.82 ha($8,200m^2$)에서 스티로폼과 초목류를 포함한 대량의 부유쓰레기가 발생한 것으로 추정되었다.

An Evaluation of ETM+ Data Capability to Provide 'Forest-Shrub land-Range' Map (A Case Study of Neka-Zalemroud Region-Mazandaran-Iran)

  • Latifi Hooman;Olade Djafar;Saroee Saeed;jalilvand Hamid
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.403-406
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    • 2005
  • In order to evaluate the Capability of ETM+ remotely- sensed data to provide 'Forest-shrub land-Rangeland' cover type map in areas near the timberline of northern forests of Iran, the data were analyzed in a portion of nearly 790 ha located in Neka-Zalemroud region. First, ortho-rectification process was used to correct the geometric errors of the image, yielding 0/68 and 0/69 pixels of RMS. error in X and Y axis, respectively. The original and panchromatic bands were fused using PANSHARP Statistical module. The ground truth map was made using 1 ha field plots in a systematic-random sampling grid, and vegetative form of trees, shrubs and rangelands was recorded as a criteria to name the plots. A set of channels including original bands, NDVI and IR/R indices and first components of PCI from visible and infrared bands, was used for classification procedure. Pair-wise divergence through CHNSEL command was used, In order to evaluate the separability of classes and selection of optimal channels. Classification was performed using ML classifier, on both original and fused data sets. Showing the best results of $67\%$ of overall accuracy, and 0/43 of Kappa coefficient in original data set. Due to the results represented above, it's concluded that ETM+ data has an intermediate capability to fulfill the spectral variations of three form- based classes over the study area.

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Compositional analysis by NIRS diode array instrumentation on forage harvesters

  • Andreashaeusler, Michael Rode;Christian, Paul
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1619-1619
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    • 2001
  • Ourwork aims to assess the content of dry matter, protein, cell wall parameters and water soluble carbohydrates in forages without having to handle samples, transport them to a laboratory, dry, grind and chemically analyze them. for this purpose, the concept of fresh forage analysis under field conditions by means of compact integrated NIRS InGaAs-diode array instruments on small plot harvesters is being evaluated for plant breeding trials. This work was performed with the world first commercial experimental forage plot harvester equipped with a NIRS module for the collection, compression, and scanning of forage samples (including automatic referencing and dark current measure ments). It was used for harvesting and analyzing a number of typical forage grass and forage legume plot trials. After NIRS measurements in the field each sample was again analyzed in the laboratory by means of a conventional grating spectrometer equipped with Si-and PbS-detectors. Conventional laboratory analysis of the samples was restricted to dry matter (DM) content by means of oven drying at 105. Routine chemometric procedures were then employed to assess the comparative accuracy and precision of the DM assessments in the spectral range between 950 and 1650nm by the NIRS diode array as well as by the conventional NIRS scanning instrument. The results of this study confirmed that the type of NIRS diode array instrument employed here functioned well even in rugged field operations. further refinements proved to be necessary for optimizing the automatic filling of the sample compartment to adjust for the wide variation in forage material under conditions of extremely low or high harvest yields. The error achieved in calibrating the apparatus for forages of typical DM content proved to be satisfactory (SECV < 1.0). Possibly as a consequence of higher sampling errors, its performance in atypical forages with elevated DM contents was less satisfactory. The error level obtained on the conventional grating NIR spectrometer was similar to that of the diode array instrument for both types of forage.

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Measurement of Lipid Content of Compost in the fermentation Process using Near-Infrared Spectroscopy

  • Suehara, Ken-Ichiro;Masui, Daisuke;Nakano, Yasuhisa;Yano, Takuo
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1254-1254
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    • 2001
  • Near infrared spectroscopy (NIRS) was applied to determination of the lipid content of compost during compost fermentation of tofu(soybean-curd) refuse. The reflected rays in the wavelength range between 800 and 2500 nm were measured at 2 nm intervals. The absorption of lipid observed at 4 wavelengths, 1208, 1712, 2312 and 2352 nm on the second derivative spectra. To formulate a calibration equation, a multiple linear regression analysis was carried out between the near-infrared spectral data and on the lipid content in the calibration sample set (sample number, n=60) obtained using a Soxhlet extraction method. The calibration equation for prediction of lipid, the value of the multiple correlation coefficient (R) was 0.975 when using the wavelengths of 1208 and 1712nm. To validate the calibration equation obtained, the lipid content in the validation sample set (n=35) not used for formulating the calibration equation were calculated using the calibration equations, and compared with the values obtained using the Soxhlet extraction method. Good agreement were observed between the results of the Soxhlet extraction method and those values of the NIRS method. The simple correlation coefficient (r) and standard error of prediction (SEP) were 0.964 and 0.815 %, respectively. Then, the NIRS method was applied to a compost fermentation in which the time course the lipid content were measured and good results were obtained. The study indicates that NIRS is a useful method for process management of the compost fermentation of tofu refuse.

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MEASUREMENT OF THE CONCENTRATIONS OF RAW MATERIAL, SOYA OIL, AND PRODUCT, MANNOSYL ERYTHRITOL LIPID, IN THE FERMENTATION PROCESS USING NEAR-INFRARED SPECTROSCOPY

  • Kazuhiro Nakamichi;Suehara, Ken-Ichiro;Yasuhisa Nakano;Koji Kakugawa;Masahiro Tamai;Takuo Yano
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1157-1157
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    • 2001
  • Yeast, Kurtzurnanomyces sp. I-11, produces biosurfactant, mannosyl erythritol lipid (MEL), from soya oil. The properties of biosurfactant MEL include low-toxicity and high biodegradability. MEL provides new possibilities for a wide range of industrial applications, especially food, cosmetic, pharmaceutical fields and chemicals for biotechnology. In the fermentation process, techniques of measuring and controlling substrates and products are important to obtain high productivity with optimum concentrations of substrate and product in the culture broth. The measurement system for the concentrations of soya oil and MEL in the fermentation process was developed using near-infrared spectroscopy (NIRS). Soya oil and MEL in the culture broth were extracted with ethyl acetate and NIR spectra was carried out between the second derivative NIR spectral data at 1312 and 2040 nm and MEL concentrations obtained using a thin-layer chromatography with a flame-ionization detector (TLC/FID) method. A calibration equation for soya oil was results of the validation of the calibration equation, good agreement was observed between the results of the TLD/FID method and those of the NIRS method for both constituents. NIR method was applied to the measurement of the concentrations of MEL and soya oil in the practical fermentation and good results were obtained. The study indicates that NIRS is a useful method for measurement of the substrate and product in the glycolipid fermentation.

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Wind Vector Retrieval from SIR-C SAR Data off the East Coast of Korea

  • Kim, Tai-Sung;Park, Kyung-Ae;Moon, Woo-Il
    • 한국지구과학회지
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    • 제31권5호
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    • pp.475-487
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    • 2010
  • Sea surface wind field was retrieved from high-resolution SIR-C SAR data by using CMOD algorithms off the east coast of Korea. In order to extract wind direction information from SAR data, a two-dimensional spectral analysis method was applied to the normalized radar cross section of the image. An $180^{\circ}$-ambiguity problem in the determination of wind direction was solved by selecting a direction nearest to the wind vector of the ECMWF reanalysis data. Comparison of the wind retrieval patterns with the ECMWF and NCEP/NCAR dataset showed RMS errors in the range of 1.30 to $1.72\;ms^{-1}$. In contrast, comparison of wind directions revealed large errors of greater than $60^{\circ}$, which is enormously higher than the permitted limit of about $20^{\circ}$ for satellite scatterometer winds. Compared with wind speed results from different algorithms, wind vectors based on commonly-used CMOD4 algorithm showed good agreement with those derived by other algorithms such as CMOD_IFR2 and CMOD5, particularly at medium winds from 4 to $8\;ms^{-1}$. However, apparent discrepancy appeared at low winds (< $4\;ms^{-1}$). This study also addressed an importance of accurate wind direction data to improve the accuracy of wind speed retrieval and discussed potential causes of wind retrieval errors from SAR data.