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pith:O4J5WMV7

pith:2026:O4J5WMV7DPHTZOW3GYDDZGMCK6
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A Novel Segment-Based Tracking Algorithm for HLT under High-Occupancy and Complex Conditions

Changqing Feng, Hang Zhou, Jianbei Liu, Pengkun Jia, Yuhe Huang, Zhujun Fang

A segment-based algorithm with 11 pre-defined patterns reduces global tracking elements to 400-500 at 25% occupancy in gaseous detectors.

arxiv:2605.15577 v1 · 2026-05-15 · physics.ins-det · hep-ex

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

With the depth-first search within connected components, the simulation results show that the algorithm maintains stable performance with occupancy ranging from 5% to 25%, achieving a data compression ratio of approximately 50% to 70%.

C2weakest assumption

The 11 pre-defined patterns together with position-momentum-timing criteria for edge-matrix formation and stereo superlayer merging are sufficient to capture relevant tracks without significant efficiency loss under high-occupancy conditions.

C3one line summary

A new segment-based HLT tracking algorithm using 11 patterns and optimized edge matrices reduces global tracking complexity to 400-500 elements at 25% occupancy with 50-70% data compression.

References

21 extracted · 21 resolved · 2 Pith anchors

[1] The large hadron collider–present status and prospects, 2000
[2] ATLAS event selection system readies for LHC Run 3, 2022
[3] A vailable: https://atlas.cern/updates/briefing/ run-3-trigger
[4] Performance of the cms high-level trigger during LHC Run 2, 2024
[5] Performance of Belle II tracking on collision data, 2020

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:01:06.350846Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7713db32bf1bcf3cbadb36063c998257bdbb740e70d458b802c8b158dfed4ed2

Aliases

arxiv: 2605.15577 · arxiv_version: 2605.15577v1 · doi: 10.48550/arxiv.2605.15577 · pith_short_12: O4J5WMV7DPHT · pith_short_16: O4J5WMV7DPHTZOW3 · pith_short_8: O4J5WMV7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O4J5WMV7DPHTZOW3GYDDZGMCK6 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7713db32bf1bcf3cbadb36063c998257bdbb740e70d458b802c8b158dfed4ed2
Canonical record JSON
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    "abstract_canon_sha256": "473450f285441d15ab28e74183f7d79a783e1514a2a556aa990fa1d370bbd4e2",
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.ins-det",
    "submitted_at": "2026-05-15T03:37:04Z",
    "title_canon_sha256": "7e4a1647c0a16c83e0a9af3a68c8e13ca21db6c6c385557f709f2a314c892c3c"
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    "kind": "arxiv",
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