Quickstart
This page takes you from a fresh install to a first fitted result in a few minutes — and you need no data of your own, because Asymmetry can generate a realistic demo run for you. The objects each step refers to are collected in Key concepts, and complete real-world analyses follow in Analysis workflows.
Install and launch
Install Asymmetry (see Installation) and start the graphical interface from a terminal:
asymmetry-gui
The main window opens with an empty Data Browser on the left and a plot in the centre.
Make a demo dataset
With your own data you would load a file from File → Open… and then set the detector grouping and calibrate \(\alpha\) (see Grouping and calibration walkthrough). With nothing to hand, generate a ready-made run instead:
Open File → Simulate Preset.
Choose Ag — ZF Gaussian Kubo–Toyabe.
A synthetic silver run appears in the Data Browser, badged SIM and tinted to
mark it as simulated, and the central plot shows its asymmetry — already
grouped and calibrated, because the preset carries a complete reduction. The
preset is a genuine Poisson-sampled dataset built from a known model, so it
behaves exactly as beamline data would.
Read the asymmetry
The curve is the zero-field Kubo–Toyabe relaxation of muons in silver: a characteristic dip and partial recovery produced by the static distribution of nuclear dipolar fields at the muon site, with a width set by the spread of those fields. This time-domain signal is what every fit works on; for the physics behind it see Muon-spin spectroscopy: a primer and Kubo–Toyabe.
Fit it
Fit the relaxation and recover its parameters:
In the fit panel’s single-fit tab, open the Fit Wizard.
Click Start Analysis. The wizard fingerprints the spectrum, fits a portfolio of candidate models, and ranks them by an information criterion.
It recommends
StaticGKT_ZF + Constant— the static Gaussian Kubo–Toyabe with a flat baseline. Click Apply Recommended Fit to write the result back into the single-fit tab.
The fitted field width comes out at \(\Delta \approx 0.39\) μs⁻¹ — the value the preset was generated from, recovered within the counting errors. That is a complete analysis: data in, model fitted, parameter out.
The main window right after the walkthrough’s first fit converges. The red
fit curve traces the StaticGKT_ZF + Constant model over the silver
asymmetry, and the fit panel reports Fit converged with
Δ = 0.39 μs⁻¹ (row Δ (μs⁻¹) ) and a reduced chi-square near 1.
Where to go next
Key concepts — the objects an analysis is built from.
Analysis workflows — full, worked analyses on representative experiments.
Fitting engine and Fit wizard — the fitting tools in depth.
Synthetic runs and degraded statistics — more synthetic data, including whole temperature scans and the other preset materials.