PLE spectra analysis of the sub-structure in the absorption spectra of CdSeS quantum dots
Liu Bing-Can (刘炳灿)a, Pan Xue-Qin (潘学琴)a, Tian Qiang (田强)b, Wu Zheng-Long (吴正龙)c
a The Department of Fundamental Courses, The Academy of Armored Force Engineering, Beijing 100072, China; b Department of Physics, Beijing Normal University, Beijing 100875, China; c Analytical and Testing Center, Beijing Normal University, Beijing 100875, China
Abstract The semiconductor CdSeS quantum dots (QDs) embedded in glass are analysed by means of absorption spectra, photoluminescence (PL) spectra and photoluminescence excitation (PLE) spectra. The peaks of absorption spectra shift to lower energies with the size of QD increasing, which obviously shows a quantum-size effect. Using the PLE spectra, the physical origin of the lowest absorption peak is analysed. In PLE spectra, the lowest absorption peak can be deconvoluted into two peaks that stem from the transitions of 1S3/2--1Se and 2S3/2--1Se respectively. The measured energy difference between the two peaks is found to decrease with the size of QD increasing, which agrees well with the theoretical calculation for the two transitions. The luminescence peak of defect states is also analysed by PLE spectra. Two transitions are present in the PLE, which indicates that the transitions of 1S3/2--1Se and 2S3/2--1Se are responsible for the defect states luminescence.
Received: 26 December 2005
Revised: 07 February 2006
Accepted manuscript online:
Fund: Project supported by the Foundation for University Key Teachers by the Ministry of Education, China.
Cite this article:
Liu Bing-Can (刘炳灿), Pan Xue-Qin (潘学琴), Tian Qiang (田强), Wu Zheng-Long (吴正龙) PLE spectra analysis of the sub-structure in the absorption spectra of CdSeS quantum dots 2006 Chinese Physics 15 1067
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.