다운로드 Light Spectrum Analyzer PC 용

PC를 설정하고 Windows 11에서 Light Spectrum Analyzer 앱을 다운로드하는 단계:

1. 컴퓨터가 호환되는지 확인: 최소 요구 사항은 다음과 같습니다.
• RAM: 8GB (최저한의), 16GB (추천)
• 저장: SSD
• Processor:
• Intel Core i3 8th Gen (최소 이상)
• AMD Ryzen 3000 (최소 이상)
• Qualcomm Snapdragon 8c (최소 이상)
• Processor Architecture: x64 or ARM64
2. Light Spectrum Analyzer 에 이미 기본 Windows 버전이 있는지 확인하십시오. 여기서 하세요 ». 기본 버전이 없으면 3단계로 진행합니다.

Spectrum Analyzer iOS App, will need to give permission to allow the App to have permission to use your camera and file system when prompted Physical Apparatus A diffraction grating to be place in front of the camera Light source such as a multi propose laser pointer iPhone or iPad with the App installed Use Select one of the three sources of image Front Camera /Back Camera/File Manager If the calibrated length between 2 points on the image is to be used, for example, distance between zero order length and the first order diffraction pattern of the red wavelength is approximately 650 nm, then select the radio button calibrated to input a known length. Move the square start end to re position the start of known calibrated start point and drag the arrow head to the end of the known length. Similarly, re position the start and end of the free line spectrum to analyze the pixel perceived brightness where the start is BLUE =400 and end is RED =700 nm The play/pause button will start or stop the calculation of the free line pixel perceived brightness along the line. Acknowledgement My sincere gratitude for the tireless contributions of Francisco Esquembre, Fu-Kwun Hwang, Wolfgang Christian, Félix Jesús Garcia Clemente, Anne Cox, Andrew Duffy, Todd Timberlake and many more in the Open Source Physics community. I have designed much of the above based on their ideas and insights. This research is supported by the eduLab project AEP 01/18 LTK Promoting joy of learning by turning phone into 3 scientific equipment, awarded by the Ministry of Education (MOE), Singapore and managed by National Institute of Education (NIE), Singapore. reference: http://iwant2study.org/ospsg/index.php/projects/576-aep-01-18-ltk-promoting-joy-of-learning-by-turning-phone-into-3-scientific-equipment