Analysis Modes¶
Homodyne provides two analysis modes for XPCS data: Static mode for equilibrium systems and Laminar Flow mode for systems under shear. This section documents the physical parameters, bounds, and usage for each mode.
Mode Overview¶
Mode |
Physical Parameters |
Description |
Typical Applications |
|---|---|---|---|
Static |
3 |
Anomalous diffusion without flow |
Colloidal suspensions, gels, glasses |
Laminar Flow |
7 |
Full nonequilibrium with shear |
Rheology, microfluidics, active matter |
Static Mode¶
Static mode analyzes systems at equilibrium without macroscopic flow. The correlation function simplifies to:
Physical Parameters (3)¶
Parameter |
Symbol |
Units |
Description |
|---|---|---|---|
D0 |
\(D_0\) |
Varies with \(\alpha\) |
Baseline diffusion coefficient. For \(\alpha = 0\), units are [length 2 /time]. |
alpha |
\(\alpha\) |
dimensionless |
Diffusion scaling exponent. \(\alpha = 0\) for normal diffusion, \(\alpha < 0\) for subdiffusion, \(\alpha > 0\) for superdiffusion. |
D_offset |
\(D_{\text{offset}}\) |
[length 2 /time] |
Additive offset for baseline correction. Can be negative for jammed/arrested systems. |
Parameter Bounds (Static Mode)¶
Parameter |
Min |
Max |
Notes |
|---|---|---|---|
D0 |
100 |
100,000 |
Consistent with Stokes-Einstein range for nm-scale particles |
alpha |
-2.0 |
2.0 |
Covers subdiffusive to superdiffusive regimes |
D_offset |
-100,000 |
100,000 |
Negative values allowed for arrested systems |
Diffusion Integral¶
The diffusion integral over the time window \([t_1, t_2]\):
This is always evaluated numerically via cumulative trapezoid on the discrete time grid (see Computational Methods for implementation details).
Laminar Flow Mode¶
Laminar flow mode analyzes systems under shear with the full nonequilibrium correlation function:
where the shear contribution introduces angular anisotropy.
Physical Parameters (7)¶
Parameter |
Symbol |
Units |
Description |
|---|---|---|---|
D0 |
\(D_0\) |
Varies with \(\alpha\) |
Baseline diffusion coefficient |
alpha |
\(\alpha\) |
dimensionless |
Diffusion scaling exponent |
D_offset |
\(D_{\text{offset}}\) |
[length 2 /time] |
Diffusion additive offset |
gamma_dot_t0 |
\(\dot{\gamma}_0\) |
Varies with \(\beta\) |
Baseline shear rate |
beta |
\(\beta\) |
dimensionless |
Shear rate scaling exponent |
gamma_dot_t_offset |
\(\dot{\gamma}_{\text{offset}}\) |
[s -1] |
Shear rate additive offset |
phi0 |
\(\phi_0\) |
[degrees] |
Flow direction angle offset |
Parameter Bounds (Laminar Flow Mode)¶
Parameter |
Min |
Max |
Notes |
|---|---|---|---|
D0 |
100 |
100,000 |
Consistent with Stokes-Einstein range for nm-scale particles |
alpha |
-2.0 |
2.0 |
Covers subdiffusive to superdiffusive regimes |
D_offset |
-100,000 |
100,000 |
Allows negative for arrested systems |
gamma_dot_t0 |
1e-6 |
10,000 |
Spans quasi-static to high shear rate regimes |
beta |
-2.0 |
2.0 |
Covers shear thinning to thickening regimes |
gamma_dot_t_offset |
0.01 |
100 |
Positive baseline shear rate |
phi0 |
-10.0 |
10.0 |
Flow direction angle offset (degrees) |
Shear Integral¶
The shear integral over the time window \([t_1, t_2]\):
This is always evaluated numerically via cumulative trapezoid on the discrete time grid, matching the diffusion integral method (see Computational Methods).
Parameter Bounds and Priors (NLSQ & CMC)¶
Where bounds come from: Both NLSQ and CMC read bounds from the
parameter_spacesection of the YAML. If a parameter is omitted, defaults fromParameterManagerare used; if those are missing, the fallbacks are: -contrast: [0.0, 1.0] -offset: [0.5, 1.5] -D0: [100, 1e5] -D_offset: [-1e5, 1e5] - other parameters: [0.0, 1.0]NLSQ usage: Bounds are used for deterministic optimization only; NLSQ does not sample priors.
CMC usage: Bounds are used to build priors via
ParameterSpace(seehomodyne.config.parameter_spaceandhomodyne.optimization.cmc.priors). Per-angle parameterscontrast_i/offset_iare always included; if you only supply a basecontrast/offsetbound or prior, it applies to all angles.Default priors when not specified: - Type:
TruncatedNormal- Location: midpoint of the bound interval - Scale: one quarter of the interval width If no prior spec exists at all for a parameter, the runtime fallback isUniform(min, max).Supported prior types in CMC:
TruncatedNormal,Uniform,LogNormal,HalfNormal,Normal,BetaScaled(Beta on [min, max]). All require finite bounds;BetaScaledcomputes the Beta concentrations frommu/sigmaon the scaled interval.
Example YAML snippet¶
parameter_space:
model: laminar_flow
bounds:
- name: D0
min: 1e2
max: 1e5
prior_mu: 1e3
prior_sigma: 1e3
type: TruncatedNormal
- name: alpha
min: -2.0
max: 2.0
prior_mu: 0.0
prior_sigma: 0.5
type: Normal
- name: contrast # applies to all contrast_i
min: 0.0
max: 1.0
prior_mu: 0.5
prior_sigma: 0.2
type: BetaScaled
Per-Angle Scaling¶
Per-angle scaling is mandatory for both modes. This accounts for instrumental variations across different detector positions.
Scaling Parameters (Per Angle)¶
For each azimuthal angle \(\phi_i\), two scaling parameters are fitted:
Parameter |
Symbol |
Range |
Description |
|---|---|---|---|
contrast_i |
\(\beta_i\) |
[0.0, 1.0] |
Per-angle contrast (instrumental coherence) |
offset_i |
\(c_{0,i}\) |
[0.5, 1.5] |
Per-angle baseline offset (ideal: 1.0) |
Total Parameter Count¶
The total number of parameters depends on the number of azimuthal angles \(n_\phi\):
Examples:
Static mode with 3 angles: \(3 + 2 \times 3 = 9\) parameters
Laminar flow mode with 3 angles: \(7 + 2 \times 3 = 13\) parameters
Laminar flow mode with 5 angles: \(7 + 2 \times 5 = 17\) parameters
Parameter Ordering¶
For MCMC initialization, parameters must follow a specific ordering:
Per-angle contrast:
contrast_0, contrast_1, ..., contrast_{n_phi-1}Per-angle offset:
offset_0, offset_1, ..., offset_{n_phi-1}Physical parameters:
D0, alpha, D_offset, [gamma_dot_t0, beta, gamma_dot_t_offset, phi0]
This ordering is critical for proper MCMC initialization with NumPyro.
Mode Selection Guidelines¶
When to Use Static Mode¶
Equilibrium colloidal suspensions
Gels and glasses near arrest transition
Systems without macroscopic flow
Initial exploratory analysis
When to Use Laminar Flow Mode¶
Rheology experiments with shear cells
Microfluidic flow measurements
Active matter under flow
Systems with time-dependent shear rates
Physical Constraints¶
The optimization respects physical constraints:
Positivity Constraints:
\(D_0 > 0\): Baseline diffusion must be positive
\(\dot{\gamma}_0 \geq 0\): Non-negative baseline shear rate
\(\text{contrast}_i \in [0, 1]\): Physical contrast bounds
Scaling Exponent Bounds:
\(|\alpha| \leq 2\): Physically reasonable diffusion scaling
\(|\beta| \leq 2\): Physically reasonable shear scaling
Angular Constraints:
\(\phi_0 \in [-10^\circ, 10^\circ]\): Tight bounds for MCMC convergence
Configuration Example¶
YAML configuration for laminar flow mode with 3 angles:
physics:
mode: laminar_flow # or "static"
initial_parameters:
parameter_names:
- D0
- alpha
- D_offset
- gamma_dot_t0
- beta
- gamma_dot_t_offset
- phi0
values:
- 1000.0 # D0 (bounds: [100, 1e5])
- 0.0 # alpha (bounds: [-2, 2])
- 0.0 # D_offset (bounds: [-1e5, 1e5])
- 0.01 # gamma_dot_t0 (bounds: [1e-6, 0.5])
- 0.0 # beta (bounds: [-2, 2])
- 0.0 # gamma_dot_t_offset (bounds: [-0.1, 0.1])
- 0.0 # phi0 in degrees (bounds: [-10, 10])
# Per-angle scaling is automatically enabled
See Configuration Templates for complete configuration templates.