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Predictive analysis of the power spectral irradiance from blackbody radiation source using single pixel detector

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dc.citedby1
dc.contributor.authorLee H.J.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorGamel M.M.A.en_US
dc.contributor.authorJamaludin M.Z.en_US
dc.contributor.authorWong Y.H.en_US
dc.contributor.authorid57190622221en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid57215306835en_US
dc.contributor.authorid57216839721en_US
dc.contributor.authorid36605495300en_US
dc.date.accessioned2024-10-14T03:17:41Z
dc.date.available2024-10-14T03:17:41Z
dc.date.issued2023
dc.description.abstractAccurate spectral irradiance measurement in the near-infrared range is significant for the design and characterization of photodetector and photovoltaic cells. Approximation method is commonly used to solve for the input power using estimated spectral irradiance, where the dependency on wavelength and temperature remains uncertain. This study aims to determine the power spectrum at different radiation temperatures using a single pixel photodetector, taking into consideration factors such as transmission spectra of alumina radiator, CaF2 collimating lens, responsivity, and measured photocurrent information of photodetectors. Utilizing predictive mathematical model, five commercial photodetectors, including Silicon, Germanium, In0.53Ga0.47As, In0.73Ga0.27As, and In0.83Ga0.17As were used to solve for the power densities as a function of wavelengths at radiation temperatures of 1000 �C and 1500 �C. The spectral irradiance of photodetectors was determined with a percentage difference of <4.9 %, presenting an accurate power density estimation for the spectrum at a wide range of radiation temperatures. Power irradiance data obtained were validated in the narrow wavelength range with 1000 nm, 1400 nm, 1500 nm, and 2000 nm bandpass filters. The reported work demonstrates a simple and efficient way which could contribute to develop a cost-effective method of measuring and determining the spectrum irradiances of objects at different radiation temperatures. This predictive analysis method hopefully intensifies the progress of efforts to reduce the reliance on complex optoelectronic instruments in accurately solving power irradiance information. � 2023 The Authorsen_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe20585
dc.identifier.doi10.1016/j.heliyon.2023.e20585
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85173145689
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85173145689&doi=10.1016%2fj.heliyon.2023.e20585&partnerID=40&md5=60068b2dde14d03762fdf253ef82d2de
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34021
dc.identifier.volume9
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.relation.ispartofGreen Open Access
dc.sourceScopus
dc.sourcetitleHeliyon
dc.subjectEnergy
dc.subjectPower densities
dc.subjectRadiation temperature
dc.subjectSpectral irradiance
dc.titlePredictive analysis of the power spectral irradiance from blackbody radiation source using single pixel detectoren_US
dc.typeArticleen_US
dspace.entity.typePublication
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