DAVIS GEOMETRIC / ENGINEERING STUDY
HALCYON / Measurement bench
HAL–SIM–002
REDUCED APPARATUS · REV A
REDUCED APPARATUS · REV A
SIMULATE THE INSTRUMENT BEFORE BUILDING IT
Can we tell what really changed?
Apply a known force, simulate a noisy measurement, and fit the mass, stiffness and damping separately. Start with no inertia change. Then challenge the instrument with a different suspension, a calibration error, or an explicitly injected effect.
Preparing simulation…
01 / FORCE PULSE · TIME DOMAIN
Watch the suspended mass respond.
— Reference specimen— Active specimen· Noisy readout
Calculated 0.25 s electrostatic pulse, thermal motion and sampled readout noise. Motion in the apparatus drawing is enlarged; chart values are unscaled. Support vibration is included in the sweep below, not this isolated pulse.
02 / SWEPT FORCE · FREQUENCY DOMAIN
Fit the whole response.
— Reference fit— Active fit○ Simulated measurement
41 frequencies, 0.15–2 Hz. Both in-phase and quadrature displacement are fitted. Acquisition times exclude settling. A resonance shift alone does not establish a mass change.
03 / MICROWAVE & FORCE BUDGET
Linear cavity · assumed pathsWhat reaches the specimen?
This is a one-port passive resonator calculation. It does not implement a transmon, SU(2) links, a 3D electromagnetic field solution or a mechanism for changing mass. Heating is a steady-state estimate through the specified thermal conductance. The radiation-force estimate assumes the leaked power intercepts the specimen.
04 / REPEATED SYNTHETIC EXPERIMENTS
Does the conclusion survive new noise?
Repeat the fit with independent noise seeds. Injected changes and gain errors stay fixed. The statistical interval measures noise; the wider interval also includes the entered independent calibration uncertainty for each state.
No repeated-run study yet.
Recovered parameters & uncertainty
| Parameter | Reference fit | Active fit | Active statistical ±1σ |
|---|
Intervals are local Gaussian approximations conditional on this model and the stated noise. Gain uncertainty is not identifiable from displacement alone. A good fit can still have a biased mass estimate.