Table 2. Perturbations introduced in the SLS 2.0 design lattice for the generation of the datasets.
The datasets are generated using the virtual accelerator (N1a) and pyAT (N1b and N2). The type of perturbation, static (S) or dynamic (D), is also reported. The majority of the perturbations are defined as fractions of the machine imperfections used for the SLS 2.0 performance evaluation (Gaussian distributions truncated at two standard deviations) (Streun et al., 2023 ▸). To them we added some extra coupling by varying the quadrupolar strength of the first sextupole from the injection, and extra kicks in both transverse planes to simulate residual dipoles introduced by the insertion devices (IDs) as functions of their operating gaps.
| N1a | N1b, N2 | Type | |
|---|---|---|---|
| Element-to-element (µm r.m.s.) | 0.9 | 15 | S |
| Girder center (µm r.m.s.) | 1.8 | 30 | S |
| Girder-to-girder (µm r.m.s.) | 0.6 | – | S |
| BPM offset (µm r.m.s.) | 9 | – | S |
| Magnet rotation (µrad) | 9 | 150 | S |
| BPM rotation (mrad r.m.s.) | 0.3 | – | S |
| Extra coupling: k1 at Sext1 (m−1) | – | 0.1 | S |
| Relative k1 (%) | ±0.5 | ±1 | D |
| ID kicks (H and V) | Variable | – | D |