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ice score: per-image ice-ring indicator plumbed through all layers

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A single per-image ice_ring_score - the strongest hexagonal-ice ring band/shoulder
intensity ratio from the azimuthal profile (1 = no ice) - computed in the CPU and
FPGA analysis paths and the offline azint worker, then plumbed through every layer:
DataMessage/EndMessage, CBOR (frame_serialize), HDF5 (/entry/MX/iceRingScore),
ScanResult, receiver plots (PlotType::IceRingScore), the OpenAPI spec (plot_type +
scan_result schema, with regenerated broker/gen and frontend client) and
OpenAPIConvert, the reader + Qt viewer, and the React frontend plot. Documented in
docs/CBOR.md, docs/HDF5.md and docs/CPU_DATA_ANALYSIS.md, with the general
"add a per-image quantity" recipe added to CLAUDE.md.

Verified in HDF5: lysoC (weak ice) mean 1.23, EP_cs_01-17 (heavy ice) mean 1.67 /
max 2.23. This is a monitoring quantity - it does not gate scaling (which already
excludes all ice rings) or merging (handled by the CC1/2 ring mask).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
leonarski_f
2026-07-02 16:37:12 +02:00
co-authored by Claude Fable 5
parent 6ffb16f142
commit f422988cd2
30 changed files with 165 additions and 8 deletions
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frame_serialize/CBORStream2Serializer.cpp
+1
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@@ -863,6 +863,7 @@ void CBORStream2Serializer::SerializeImageInternal(CborEncoder &mapEncoder, cons
CBOR_ENC(mapEncoder, "packets_expected", message.packets_expected);
CBOR_ENC(mapEncoder, "packets_received", message.packets_received);
CBOR_ENC(mapEncoder, "bkg_estimate", message.bkg_estimate);
CBOR_ENC(mapEncoder, "ice_ring_score", message.ice_ring_score);
CBOR_ENC(mapEncoder, "adu_histogram", message.adu_histogram);
CBOR_ENC(mapEncoder, "roi_integrals", message.roi);
CBOR_ENC(mapEncoder, "beam_corr_x", message.beam_corr_x);