feat: Free parameter estimation form seed

[andiwand]

This is a generalization of the bound version estimateTrackParamsFromSeed. From the interface one can see what information is really necessary to estimate parameters

template <typename spacepoint_iterator_t>
FreeVector estimateTrackParamsFromSeed(spacepoint_iterator_t spBegin,
                                       spacepoint_iterator_t spEnd,
                                       const Vector3& bField) {

vs

template <typename spacepoint_iterator_t>
std::optional<BoundVector> estimateTrackParamsFromSeed(
    const GeometryContext& gctx, spacepoint_iterator_t spBegin,
    spacepoint_iterator_t spEnd, const Surface& surface, const Vector3& bField,
    ActsScalar bFieldMin, const Acts::Logger& logger = getDummyLogger()) {

Originally I wanted to make use of this new version inside the bound version but I ended up doing a different error handling which is also more generic IMO.

We can unify this with the next breaking change. I would propose to drop the bound version completely and let the user deal with the global to local conversion which makes it very explicit that one needs a surface to put the parameters on. A propagator can then be used to extrapolate parameters to a different reference surface.

[andiwand]

cc @timadye @paulgessinger @noemina @pbutti @CarloVarni

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[github-actions]

📊: Physics performance monitoring for c44b9e8

Full contents

physmon summary

• ✅ Particles fatras
• ✅ Particles geant4
• ✅ Particles ttbar
• ✅ Vertices ttbar
• ✅ Truth tracking (KF)
• ✅ Truth tracking (GSF)
• ✅ Truth tracking (GX2F)
• ✅ Truth tracking (KF refit)
• ✅ Truth tracking (GSF refit)
• ✅ CKF finding performance | trackfinding | single muon | truth smeared seeding
• ✅ CKF fitting performance | trackfinding | single muon | truth smeared seeding
• ✅ CKF track summary | trackfinding | single muon | truth smeared seeding
• ✅ Seeding trackfinding | single muon | truth estimated seeding
• ✅ CKF finding performance | trackfinding | single muon | truth estimated seeding
• ✅ CKF fitting performance | trackfinding | single muon | truth estimated seeding
• ✅ CKF track summary | trackfinding | single muon | truth estimated seeding
• ✅ Seeding trackfinding | single muon | default seeding
• ✅ CKF finding performance | trackfinding | single muon | default seeding
• ✅ CKF fitting performance | trackfinding | single muon | default seeding
• ✅ CKF track summary | trackfinding | single muon | default seeding
• ✅ Seeding trackfinding | single muon | orthogonal seeding
• ✅ CKF finding performance | trackfinding | single muon | orthogonal seeding
• ✅ CKF fitting performance | trackfinding | single muon | orthogonal seeding
• ✅ CKF track summary | trackfinding | single muon | orthogonal seeding
• ✅ Seeding trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF finding performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF fitting performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF track summary | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ Ambisolver finding performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ IVF notime | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ AMVF gauss notime | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ AMVF grid time | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ Seeding trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF finding performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF fitting performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF track summary | trackfinding | ttbar with 200 pileup | default seeding
• ✅ Ambisolver finding performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ AMVF gauss notime | trackfinding | ttbar with 200 pileup | default seeding
• ✅ AMVF grid time | trackfinding | ttbar with 200 pileup | default seeding

[sonarcloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
57.1% Coverage on New Code
49.2% Duplication on New Code

See analysis details on SonarCloud