Analysis workflows ================== These chapters walk through end-to-end μSR data analyses and demonstrate the Asymmetry GUI and Python API in lock-step. Almost all are reproducible walkthroughs on **real instrument runs from the WiMDA muon-school corpus** — several on the very datasets behind published papers — each with the model, seeds, and expected numbers; the Knight-shift chapter (and a few illustrative subsections) use synthetic versions of canonical experiments grounded in textbook archetypes (Blundell *et al.* 2022; Amato & Morenzoni 2024). The narratives are the recommended onboarding path for users who have collected real data and want to see how to analyse it. They cross-reference the reference pages elsewhere in this user guide for full feature documentation. New users should start with :doc:`calibration_grouping_emu`. .. toctree:: :maxdepth: 2 calibration_grouping_emu dynamic_kt_copper photomusr_silicon_periods alc_scan_tcnq temperature_scan_magnetism global_fit_ionic_motion fmuf_entangled_states knight_shift_angle superconductor_penetration_depth lf_decoupling_dynamics Quick chooser ------------- .. list-table:: :header-rows: 1 :widths: 40 30 30 * - Workflow - Typical experiment - Key Asymmetry features * - :doc:`calibration_grouping_emu` - Set up EMU detector grouping and calibrate α from a TF run (onboarding) - Grouping window, Estimate α, visual Detector Layout Editor, dead-time * - :doc:`dynamic_kt_copper` - Measure the muon hop rate ν in copper from a ZF dynamic-KT fit - DynamicGaussianKT, fixed Δ / floated ν, motional narrowing * - :doc:`photomusr_silicon_periods` - Compare light-ON vs light-OFF muonium dynamics in a photo-μSR run - Red/green RG box, ``select_period`` / ``load(period=…)`` API * - :doc:`alc_scan_tcnq` - Locate an ALC resonance from a field-stepped scan - ALC mode, Build Scan, baseline + peak fit, integral asymmetry * - :doc:`temperature_scan_magnetism` - Locate Tc and measure the order parameter of a ferromagnet or antiferromagnet (real EuO / Ni / molecular-magnet data) - Logbook sort, Fit Wizard, parameter trending, power-law fit * - :doc:`global_fit_ionic_motion` - Extract an ion-hopping activation energy from LF triplets in a solid electrolyte (real Li₇La₃Zr₂O₁₂ data) - Global (batch) fit with shared parameters, Keren model, axis transforms, Arrhenius trend * - :doc:`fmuf_entangled_states` - Identify an F–µ–F entangled state and measure the muon–fluorine bond length (real PTFE data) - FmuF models, ZF beating signature, sub-MHz FFT * - :doc:`knight_shift_angle` - Find the muon site from the angle dependence of the Knight shift in a rotated single crystal - Knight shift analysis window, Angle axis + Fold, Joint K(θ) fit, KnightAnisotropy, Suggest next angle * - :doc:`superconductor_penetration_depth` - Extract λ(T) from TF μSR in the vortex state of a superconductor (real BiSCCO / LiFeAs / Re₆Zr data) - Multi-run TF fits, parameter trending, multi-series overlay, MaxEnt vortex lineshape, SC gap models * - :doc:`lf_decoupling_dynamics` - Distinguish static from dynamic local fields with an LF scan (real Ca₃Co₂O₆ data) - LF exponential fits, axis transforms (1/λ vs B² Redfield), static-KT decoupling diagnostic Further workflows ----------------- The internal porting workspace (``docs/porting/practical-workflows/workflow-catalogue.md``) catalogues additional workflows that Asymmetry partially or fully supports — F–μ–F identification, spin-glass freezing, muonium-radical hyperfine, and others. ALC resonance scans have a worked example above (:doc:`alc_scan_tcnq`) and a full feature reference in :doc:`/reference/alc_mode`; the angle-dependent Knight shift has a worked example above (:doc:`knight_shift_angle`) and a feature reference at :ref:`knight-shift`. Workflows that Asymmetry does **not** yet support (e.g. multi-period arithmetic, LEM depth profiling) are catalogued there too and surface as candidates in ``docs/porting/ROADMAP.md``.