Ex) Article Title, Author, Keywords
Ex) Article Title, Author, Keywords
Abstract : In this study, we explore the spectral discrimination of fluorescence images of liquid scintillators acquired by complementary metal oxide semiconductor (CMOS) image sensors using the discriminative ability of deep convolutional neural networks without requiring any special effort. With the continuous advancement of semiconductor fab-processing technology, the processing technology of optical elements in image sensors has also advanced. However, there exists a trade-off between the pixel size of an image sensor, signal noise ratio, and high color reproduction. Furthermore, commercial CMOS image sensor manufacturers typically do not provide users with spectral response data for their CMOS sensors. To address these challenges, we generated training images using a light-emitting diode module programmable on a single-board computer and demonstrated the feasibility of inferring the spectral response backward from the discriminant values of a deep convolutional neural network. Building on the previous study and considering the operational characteristics of neutrino experiments, we evaluated the feasibility of employing a deep convolutional neural network for monitoring the attenuation distance and spectral response of light in a liquid scintillator through supervised learning. In future, we aim to optimize transformer implantation that is efficient with limited required computational resources for the characteristics of the Internet of Things.
Abstract : The optical properties of white light-emitting diodes (LEDs) with a yellow phosphor plate and a red quantum dot film applied sequentially on top of a blue LED chip were investigated as a function of phosphor thickness, quantum dot concentration, and the presence or absence of the microprism film. It was found that an excessively thick yellow phosphor plate leads to an increased absorption of the blue LED, resulting in a higher proportion of yellow light and deviation from the Planckian locus. This deviation arises due to the absence of long-wavelength red component in the emitting spectrum of yellow phosphor plates. Particularly, the application of one-dimensional microprism film to the quantum dot film demonstrates notable enhancement. The reflection at the prism interface facilitates the reciprocating motion of light within the vertical cavity formed by the prism film and the bottom reflector. This phenomenon considerably increases the color conversion efficiency of the red quantum dot film, resulting in improved on-axis brightness and color rendering index. This study provides insights into improving the color rendering performance of lighting with remote color-changing components.
Abstract : The structure of physics education research papers was explored by analyzing and comparing empirical research papers from academic fields closely related to physics education research. A total of 100 papers were studied, including 20 studies each in physics, chemistry, education, and psychology, all of which were recently published in Korean journals. According to the results, IM[RD]C for physics and chemistry, ILMR[DC] for education, and IMRD for psychology were the most common. However, structural patterns in physics education were found to be diverse. Moreover, titles such as “Conclusions and suggestions” toward the end of the paper was identified as a characteristic trait of physics education papers as it was rarely observed in other fields. As in education, tables were used more often than pictures and the characteristics of natural and social science research articles appeared complex in physics education papers. Furthermore, some characteristics were unique to physics education papers.
Abstract : We provide an intuitive illustration of the working principle of fiber-optic optical delay lines constructed with linearly chirped fiber gratings (LCFBG). We accomplish this by employing reflected-wavelength characteristic graphs. This graph depicts the reflected wavelength based on the internal position of the LCFBG. The LCFBG is an optical device used for dispersion compensation in optical communication and it features optical delay characteristics that rely on the reflected wavelength. By utilizing the reflected-wavelength characteristic graph, we can visually explain the amplification effect of the optical path difference caused by stretching one of the two LCFBGs in the optical delay line. Additionally, the dependence of the amplification effect on the center wavelength and reflected spectral bandwidth of the LCFBG was also understood using the reflected-wavelength characteristic graph. The proposed method aims to aid in comprehending the characteristics of fiber-optic optical delay lines using LCFBGs, as well as the operating principles and features of various LCFBGs-based applications.
Abstract : This study aims to prove six figures and equations presented in Newton's and to analyze their meaning. Newton's figures of refraction (equations) can be divided into three parts. The first is a situation where light rays parallel to the optical axis converge at a point after refraction. If the refractive index of the medium before refraction is greater than the refractive index of the medium after refraction, it becomes a hyperbolic surface; in the opposite case, it turns out to be an ellipsoid surface. This situation represents a lens with no spherical aberration. The second is the refraction of a ray traveling at an arbitrary angle, which can be interpreted in relation to `exact ray tracing'. The third shows that a ray departing from a point on the optical axis travels to a point on the optical axis after being refracted; when paraxial ray conditions are applied, it can be expressed as the `Gauss formula for a single refracting surface'. Additionally, this study discusses potential applications to university optics education.
Geun Taek YU, Geun Hyeong PARK, Eun Been LEE, Min Hyuk PARK*
New Phys.: Sae Mulli 2021; 71(11): 890-900
https://doi.org/10.3938/NPSM.71.890
Aekyung Shin, Donggeul Hyun, Jeongwoo Park
New Phys.: Sae Mulli 2023; 73(1): 37-43
https://doi.org/10.3938/NPSM.73.37
Chang Won AHN, Jin San CHOI, Muhammad SHEERAZ, Hwan Min KIM, Ill Won KIM, Tae Heon KIM*
New Phys.: Sae Mulli 2021; 71(12): 991-1003
https://doi.org/10.3938/NPSM.71.991