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Detection of structured laser beam centroid and its use for alignment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00010836" target="_blank" >RIV/46747885:24220/22:00010836 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24510/22:00010836

  • Result on the web

    <a href="https://cds.cern.ch/record/2849064" target="_blank" >https://cds.cern.ch/record/2849064</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of structured laser beam centroid and its use for alignment

  • Original language description

    A Structured Laser Beam (SLB) is a pseudo-non- diffractive optical beam. Its transverse profile is similar to a Bessel Beam (BB), hence its bright central core is surrounded by concentric circles. SLB can propagate with very low divergence over long distances. Propagation over 200 m has been tested with a divergence under 0.01 mrad. Therefore, the central core can still fit on the camera chip and its centroid position can be accurately detected, which is not the case for well-known Gaussian beams (GB). These properties make the SLB a promising candidate for long-distance alignment applications because it could be used as a reference line. The alignment accuracy is affected by the algorithms for centroid detection. In this work, different algorithms for centroid position detection are evaluated and com- pared on simulated data, namely the best fitting of a well-parameterized Bessel function and different alternations of the center of gravity methods. In addition to simulations, real data are obtained during experiments using a high- precision motorized stage to induce a known translation of a sensor resulting in misalignment. This misalignment is compared with the misalignment detected by an SLB sensor. Therefore, the potential of SLB for long-distance alignment is explored.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10300 - Physical sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů