Determination of a CO2 laser beam profile using a Smartphone camera
Lasers find extensive applications across a spectrum from academic research to industrial use. In various instances, understanding the intensity profile of laser light is of paramount importance, specifically how its intensity changes along its propagation path. In this study, we introduce an econom...
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Published in | Revista Brasileira de Ensino de Física Vol. 46 |
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Main Authors | , , , |
Format | Journal Article |
Language | English Portuguese |
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Sociedade Brasileira de Física
2024
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Abstract | Lasers find extensive applications across a spectrum from academic research to industrial use. In various instances, understanding the intensity profile of laser light is of paramount importance, specifically how its intensity changes along its propagation path. In this study, we introduce an economical and alternative technique for determining the waist of a Gaussian laser beam, leveraging the capabilities of a Smartphone camera. Our methodology entails directing a CO2 laser onto a thermochromic liquid crystal sheet for specific exposure duration, resulting in a color pattern that evolves over time. This evolving pattern is captured by a Smartphone camera, and selected frames from the recording are processed and analyzed to quantify the beam’s waist, denoted as w ( z ). Our measurements are compared with those obtained through the traditional knife-edge method, demonstrating a substantial degree of agreement. Furthermore, by interpolating the waists calculated through our approach, we were able to ascertain the beam waist at the focus and the focal point of a converging lens, yielding results consistent with the reference method. Our findings underscore the viability of this approach as a cost-effective alternative for characterizing Gaussian beams, with potential applications in optics, laser technology, and studies related to light propagation. |
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AbstractList | Lasers find extensive applications across a spectrum from academic research to industrial use. In various instances, understanding the intensity profile of laser light is of paramount importance, specifically how its intensity changes along its propagation path. In this study, we introduce an economical and alternative technique for determining the waist of a Gaussian laser beam, leveraging the capabilities of a Smartphone camera. Our methodology entails directing a CO2 laser onto a thermochromic liquid crystal sheet for specific exposure duration, resulting in a color pattern that evolves over time. This evolving pattern is captured by a Smartphone camera, and selected frames from the recording are processed and analyzed to quantify the beam’s waist, denoted as w ( z ). Our measurements are compared with those obtained through the traditional knife-edge method, demonstrating a substantial degree of agreement. Furthermore, by interpolating the waists calculated through our approach, we were able to ascertain the beam waist at the focus and the focal point of a converging lens, yielding results consistent with the reference method. Our findings underscore the viability of this approach as a cost-effective alternative for characterizing Gaussian beams, with potential applications in optics, laser technology, and studies related to light propagation. |
Author | Ribeiro, Nicolas Paula, Gabriel de Toledo Menegatti, Carlos Renato Cabral, Jader de Souza |
Author_xml | – sequence: 1 givenname: Gabriel de Toledo surname: Paula fullname: Paula, Gabriel de Toledo organization: Universidade de São Paulo, Brasil – sequence: 2 givenname: Nicolas surname: Ribeiro fullname: Ribeiro, Nicolas organization: Universidade de São Paulo, Brasil – sequence: 3 givenname: Jader de Souza orcidid: 0000-0003-4373-3768 surname: Cabral fullname: Cabral, Jader de Souza organization: Universidade Federal de Uberlândia, Brasil – sequence: 4 givenname: Carlos Renato orcidid: 0000-0003-1282-3381 surname: Menegatti fullname: Menegatti, Carlos Renato organization: Universidade de São Paulo, Brasil |
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Title | Determination of a CO2 laser beam profile using a Smartphone camera |
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