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pith:2NAD3FOD

pith:2026:2NAD3FODCPJKAEICZCFPWUTESC
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Higgs Physics with the XFEL Compton $\boldsymbol{\gamma\gamma}$ Collider Concept at $\boldsymbol{\sqrt{s}=125}$ GeV

Ariel Schwartzman, Tim Barklow, Umar Sohail Qureshi

An XFEL-based γγ collider at 125 GeV can measure Higgs properties with high precision by applying set transformer machine learning to particle data.

arxiv:2605.16756 v1 · 2026-05-16 · hep-ph · hep-ex

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4 Citations open
5 Replications open
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Claims

C1strongest claim

Our results demonstrate that an XFEL γγ collider can probe the Higgs sector with extremely high precision and enable new physics opportunities, complementary to proposed e+e- machines.

C2weakest assumption

The set transformer-based deep learning framework that acts on particle-flow object point clouds, when coupled with a genetic algorithm optimizer, yields significantly higher sensitivity than traditional methods for signal-background discrimination in the Higgs final states.

C3one line summary

An XFEL Compton gamma-gamma collider at 125 GeV with a set transformer deep learning classifier on particle-flow point clouds can achieve high-precision Higgs measurements across hadronic, semi-leptonic, and leptonic final states including H to strange quarks.

References

65 extracted · 65 resolved · 29 Pith anchors

[1] F. Englert and R. Brout,Broken symmetry and the mass of gauge vector mesons,Phys. Rev. Lett.13(1964) 321 1964
[2] G.S. Guralnik, C.R. Hagen and T.W.B. Kibble,Global conservation laws and massless particles,Phys. Rev. Lett.13(1964) 585 1964
[3] Weinberg,A model of leptons,Phys 1967
[4] Salam,Weak and electromagnetic interactions, inElementary Particle Theory: Relativistic Groups and Analyticity (Nobel Symposium No 1968
[5] Higgs,Broken symmetries and the masses of gauge bosons,Phys 1964

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:03:20.099271Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d3403d95c313d2a01102c88afb5264908d78cac4cb3bc46013f95f89c21e827d

Aliases

arxiv: 2605.16756 · arxiv_version: 2605.16756v1 · doi: 10.48550/arxiv.2605.16756 · pith_short_12: 2NAD3FODCPJK · pith_short_16: 2NAD3FODCPJKAEIC · pith_short_8: 2NAD3FOD
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2NAD3FODCPJKAEICZCFPWUTESC \
  | 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: d3403d95c313d2a01102c88afb5264908d78cac4cb3bc46013f95f89c21e827d
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "hep-ph",
    "submitted_at": "2026-05-16T02:11:31Z",
    "title_canon_sha256": "a27ca68ff555dfc1534be3b7b0dde57933905dfe63994ec9e3f1f69bd6e05507"
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