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Precision optimization of accelerator reference point alignment
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AI
DOI：10.1016/j.nima.2026.171302.png)
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Abstract
En 中文
A high-precision alignment reference network is indispensable for accurately positioning accelerator components. In pursuit of charged particles adhering to correct beam trajectory, components distributed over large areas warrant a positioning accuracy comparable to that in small working areas. Laser trackers are ubiquitous for measuring the networks thanks to their exceptional precision. For large-scale accelerators, multi-station measurements are entailed to guarantee holistic coverage of all reference points. Spatial Analyzer (SA) software hinges on its Unified Spatial Metrology Network (USMN) function for synchronous measurement processing, merging all reference points into one coordinate system. This study puts forth an optimization method based on the Gauss-Newton algorithm, aimed to minimize the weighted sum of squared adjustments by virtue of a Cartesian coordinate system. For the sake of method validation, an experimental reference network was scrutinized and optimized via the method presented in this article. The experiment demonstrated that this approach is capable of refining measurements from a number of laser trackers. Furthermore, the alignment reference points at the Cooler Storage Ring (CSR) External-target Experiment (CEE) terminal were measured and integrated. As manifested by the experiment, the total Root Mean Square Error (RMSE) derived by SA exceeded that obtained with the proposed method. Additionally, the alignment reference network for the HIAF (High Intensity heavy-ion Accelerator Facility) BRing (Booster Ring) was optimized separately relying on the SA and the proposed method. The results confirmed that the latter produced a smaller RMSE value.
Keywords:
HIAF
Reference network adjustment
Accelerator alignment
Laser tracker
Optimization method