tiptilt 0.2.0

Differentiable wavefront-error generation and wavefront control for the HWO direct imaging simulation suite

tiptilt

Differentiable wavefront-error generation and wavefront control for the HWO direct imaging simulation suite.

Named for tip and tilt, the humblest wavefront correction.

What it is

tiptilt owns the two halves of the wavefront program that the propagation engine (physicaloptix) deliberately leaves out:

1. Aberration generation. A physically meaningful mode basis (segment piston/tip/tilt, deformable-mirror influence functions, Zernikes) plus per-mode temporal statistics produce a drifting wavefront-error realization. It is delivered as a time-varying speckle residual implementing the optixstuff.AbstractSpeckleField contract, built on the (E_nom, G) linearization physicaloptix provides, so the image and yield layers consume it unchanged.
2. Wavefront control. Wavefront-sensor estimators, a reconstructor over the same (E_nom, G) product (electric-field conjugation in space, a modal loop on the ground), and a differentiable control loop that commands the deformable mirror.

Space wavefront control is the priority; atmospheric turbulence shares the loop, the mode basis, and the residual interface.

What is here

• Aberration sources (speckle, turbulence): a stationary spectrally-factorized drift field, a tabulated replay field, correlated multi-channel realizations, and von Karman / frozen-flow screens.
• Sensing (sensing): pairwise probe estimation, Zernike wavefront sensor calibration and reconstruction, and Kalman field estimators behind a common AbstractEstimator seam.
• Control (control): electric-field conjugation, stroke minimization, and a predictive law behind a common AbstractController seam, with close_dark_hole as the driver.
• Operations (maintenance, multichannel): dark-hole maintenance under injected drift with honest model/truth separation, and cross-channel feed-forward on a shared deformable mirror.
• Hardware (dm): a programmable actuator-grid deformable mirror (Gaussian influence functions, per-actuator stroke limits) whose command vector is actuator-space, the language published control algorithms speak.
• Benchmarking (testbed): an algorithm registry, scenario builders (dig from cold, hold against drift, NCPA-limited, dual-channel), metrics, and run/sweep drivers. Custom laws plug in by implementing one method; see examples/custom_controller.py.

The mode-basis constructors it builds on (zernike_basis, segment_ptt_basis, fourier_dm_basis) live in physicaloptix.

Layout

• src/tiptilt/ -- the package.
• tests/ -- the test suite (pytest, CPU/x64-pinned like physicaloptix).
• examples/ -- worked examples (bring-your-own control algorithm).