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# ============================================================================
# P03 — B-L Z' exclusion contours at LHC Run 1 dilepton search
# ----------------------------------------------------------------------------
# Adapts ColliderAgent paper-reproduction prompt:
# /home/shiqiu/ColliderAgent/paper-reproduction/1605.02910/prompt_figure_1.md
# Source: arXiv:1605.02910 — kinetic-mixing B-L Z' phenomenology, three-panel
# exclusion contours in the $(\tilde g, g_1')$ plane at $\sqrt{s}=8$ TeV.
# ============================================================================
id: P03
title: "Reproducing 8 TeV LHC dilepton exclusion contours for a B-L Z' boson with kinetic mixing"
arxiv_id: "1605.02910"
venue: "ARC-Bench Physics 2026"
paper_asset: null
synthesis: |
Reproducing the LHC Run 1 sensitivity to a B-L gauge boson Z' with
kinetic mixing as a benchmark of the agent's ability to combine MC
parameter scans with an analytic statistical recast. The model has a
Z' coupling to SM fermions via a left/right combination
$C_{f,L/R}(\tilde g, g_1', M_{Z'})$ where $g_1'$ is the B-L gauge
coupling, $\tilde g$ is the kinetic mixing, and the production cross
section is the exact quadratic form
$\sigma(pp \to Z') = A g_1'^2 + B g_1' \tilde g + C \tilde g^2$ — so
three runs per mass point determine $(A,B,C)$ for the entire $(\tilde
g, g_1')$ plane. The diagnostic observable is the three-panel exclusion
contour at $\mathrm{Sig}\equiv 2(\sqrt{S+B}-\sqrt B) = 2$ for
$M_{Z'} \in \{2.0, 2.5, 3.0\}$ TeV at $\mathcal{L} = 20$ fb$^{-1}$.
A credible study (a) implements the kinetic-mixing B-L Lagrangian and
$C_{f,L/R}$ couplings, (b) runs the 9 signal MadGraph runs (3 mass
points x 3 coupling points) plus 3 SM Drell-Yan background runs with
$m_{\ell\ell} > 0.9 M_{Z'}$ generator cut, (c) computes the analytic
$Z' \to e^+e^- + \mu^+\mu^-$ branching ratio including 3 degenerate
heavy Majorana neutrinos $m_{\nu_h}=95$ GeV, (d) applies the published
NNLO k-factors $k\in\{1.35,1.40,1.50\}$ and acceptance
$\epsilon_\mathrm{acc}=0.6$, (e) solves the $\mathrm{Sig}=2$ equation
on a 2D grid in $(\tilde g, g_1')$, and (f) plots three side-by-side
contours. Research question: *does the agent reproduce the three-panel
$(\tilde g, g_1')$ exclusion contours at $M_{Z'}=2.0, 2.5, 3.0$ TeV from
Figure 1 of arXiv:1605.02910?*
hypotheses:
- id: H1
statement: "For the $M_{Z'}=2$ TeV panel, the exclusion contour crosses the $\\tilde g = 0$ axis at $g_1' \\in [0.10, 0.20]$ (matching the published value within 30%)."
measurable: true
- id: H2
statement: "The $(A, B, C)$ quadratic coefficients extracted at $M_{Z'}=2$ TeV satisfy $A > 0$ and $|B| \\le 4\\sqrt{AC}$ (positivity of the cross section over the full parameter plane)."
measurable: true
- id: H3
statement: "The maximum reach in $g_1'$ at $\\tilde g = 0$ degrades by at least a factor of 2 going from $M_{Z'}=2$ TeV to $M_{Z'}=3$ TeV, reflecting the PDF suppression at high mass."
measurable: true
experiment_design:
research_question: "Does the agent reproduce the three-panel $(\\tilde g, g_1')$ 2$\\sigma$ exclusion contours at $M_{Z'}=2.0, 2.5, 3.0$ TeV from the LHC Run 1 dilepton search at $\\sqrt{s}=8$ TeV with $\\mathcal{L}=20$ fb$^{-1}$ (Figure 1 of arXiv:1605.02910)?"
conditions:
- name: "mzp_2tev"
description: "$M_{Z'}=2$ TeV: 3 signal runs at $(g_1', \\tilde g) \\in \\{(0.10, 0), (0.10, -0.10), (0.15, -0.05)\\}$."
- name: "mzp_2p5tev"
description: "$M_{Z'}=2.5$ TeV: 3 signal runs at the same three $(g_1', \\tilde g)$ points."
- name: "mzp_3tev"
description: "$M_{Z'}=3$ TeV: 3 signal runs at $(g_1', \\tilde g) \\in \\{(0.30, 0), (0.30, -0.30), (0.50, -0.60)\\}$."
baselines:
- "SM Drell-Yan $pp \\to \\ell^+\\ell^-$ at $\\sqrt{s}=8$ TeV with generator-level cut $m_{\\ell\\ell} > 0.9 M_{Z'}$, one per mass point"
metrics:
- name: "exclusion_g1p_at_kinmix0"
direction: "match_reference"
description: "Value of $g_1'$ at which the $\\mathrm{Sig}=2$ contour crosses $\\tilde g = 0$, per mass point."
- name: "quadratic_coefficients_ABC"
direction: "match_reference"
description: "$(A, B, C)$ extracted from the 3 signal runs per mass; positive-definite check."
- name: "br_zprime_to_dilepton"
direction: "match_reference"
description: "Analytic $\\mathrm{BR}(Z' \\to e^+e^-+\\mu^+\\mu^-)$ at the three benchmark masses."
datasets:
- process_id: "pp_to_Zprime_BL_kinmix"
sqrt_s_TeV: 8
description: "$pp \\to Z'$ with kinetic-mixing B-L Z' at the LHC, dilepton final state. Background: SM Drell-Yan with $m_{\\ell\\ell}$ cut."
compute_requirements:
gpu_required: false
estimated_wall_clock_sec: 3600
rubric_path: "experiments/arc_bench/config/physics/rubrics/P03.json"
# ---------------------------------------------------------------------------
# Agent-mode requirements (consumed by researchclaw.pipeline.requirements_judge
# at stage 15 RESEARCH_DECISION). Schema mirrors B01.yaml:
# id — stable identifier
# type — advisory hint to the LLM judge (numeric | artifact | discussion)
# description — natural-language statement of what must be true post-run
# must_pass — true → unmet ⇒ rerun (1 retry max); false → optional
#
# The five generic must_pass items apply uniformly across P01-P10; the sixth
# is topic-specific (mirrors this manifest's H1). The two must_pass=false
# items reward mechanistic interpretation and MC-reproducibility metadata
# without blocking proceed-vs-rerun on them.
# ---------------------------------------------------------------------------
requirements:
- id: req_results_json
type: artifact
description: >-
A canonical results.json file exists at the workspace root with at least
the keys: primary_metric (number), metric_key (string), metrics (object
with numeric keys), hypotheses (object with h1/h2/h3 entries each
carrying a `supported` boolean), summary (non-empty string).
must_pass: true
- id: req_metrics_numeric
type: numeric
description: >-
results.json metrics MUST contain at least 3 numeric (non-null, finite)
values directly relevant to the headline physics observable named in
the experiment_design.metrics list above — these are the numbers the
paper will report in its Results section.
must_pass: true
- id: req_hypotheses_supported_flags
type: discussion
description: >-
results.json hypotheses.h1/h2/h3 each MUST have an explicit `supported`
boolean AND a `details` string ≥ 40 characters quoting the numerical
evidence (specific values + their source artifact) used to reach the
verdict.
must_pass: true
- id: req_publication_figure
type: artifact
description: >-
At least one publication-quality figure file (PDF or PNG, ≥150 DPI for
raster) exists under figures/ or output/figures/ with axes labeled in
physical units (GeV / pb / fb / dimensionless) and a legend if multiple
series are plotted. The figure must directly support a hypothesis
verdict.
must_pass: true
- id: req_model_implementation
type: artifact
description: >-
The BSM Lagrangian is implemented either as a FeynRules .fr file
(models/*.fr) with a matching UFO directory (models/*_UFO/ containing
at least particles.py, parameters.py, couplings.py, vertices.py), OR
as analytic Python code that explicitly computes the cross sections
from the Lagrangian terms. A pure SM baseline with no BSM piece is
NOT sufficient.
must_pass: true
- id: req_g1prime_threshold
type: numeric
description: >-
results.json metrics MUST report the g1' coordinate where the 2σ exclusion contour at M_Z'=2 TeV crosses the g̃=0 axis, in the interval [0.07, 0.26] (i.e. published [0.10, 0.20] ±30%).
must_pass: true
- id: req_mechanistic_writeup
type: discussion
description: >-
The summary or structured_results section provides a one-paragraph
mechanistic interpretation of WHY the headline observable comes out the
way it does (which interference / propagator structure / cut effect
drives the result). Nice-to-have, not blocking proceed.
must_pass: false
- id: req_mc_reproducibility
type: discussion
description: >-
results.json or a sibling reproducibility section names: (a) the
MadGraph5_aMC@NLO version, (b) the PDF set used (if applicable), (c)
at least one explicit random seed. Required for full reproducibility
but not for scientific correctness.
must_pass: false