- Pre-selection Requirements:
- Semi-leptonic: 1 isolated lepton ($E
> 12$ GeV, $\text{IPS}
< 3.3$) + 4 jets
($\geq 2$ b-tags).
- Full-hadronic: Lepton veto + 6 jets ($\geq 2$
b-tags).
- Event shape variables cuts:
- Jet clustering bounds ($y_{ij}$) and global
shapes ($S, T$) strongly suppress backgrounds with fewer or softer jets
(e.g. $b\bar{b}$, $q\bar{q}$, multi-bosons).
- After these 8 criteria, total remaining backgrounds (excluding single-top)
are heavily reduced to $\mathbf{\lesssim 1\text{
fb}}$ in both channels.
| Variable / Cut |
Semi-leptonic |
Full-hadronic |
| $\log y_{34}$ |
$> -3.0$ |
$> -2.0$ |
| $\log y_{45}$ |
$> -4.3$ |
$> -2.5$ |
| $\log y_{56}$ |
- |
$> -3.0$ |
| Total PFOs ($N_{\text{PFO}}$) |
$\geq 40$ |
$\geq 50$ |
| Charged PFOs
($N_{\text{PFO}}^{\text{charged}}$) |
$\geq 14$ |
$\geq 28$ |
| Max momentum [GeV] |
$< 86$ |
$< 65$ |
| Visible energy $E_{\text{vis}}$ [GeV]
|
$[212, 318]$ |
$[262, 359]$ |
| Sphericity ($S$) |
$> 0.34$ |
$> 0.42$ |
| Thrust ($T$) |
$< 0.87$ |
$< 0.82$ |
Tab 2. Optimized multi-dimensional selection criteria for the semi-leptonic and
full-hadronic channels.
- Combinatorial Challenge: Resolving correct
jet-parton pairing to reconstruct top quarks.
- The $\chi^2$ comprises three groups of constraints:
- 4-momentum conservation — total energy and 3-momentum must
equal $E_\text{com}$.
- Mass constraints — reconstructed $W$ and top masses match their
nominal values.
- Energy calibration ($sf$) — unity scale factors $(sf_k - 1)^2$
penalize deviations of the rescaled jet/lepton energies from their measured
values, preventing unphysical energy shifts during the fit.
- $\chi^2$-Constrained Kinematic Fit
Components:
4-Momentum Conservation
SL (4 terms):
$$
\left( \frac{E_{b_H b_L jj l \nu} \!-\! E_{com}}{\sigma_E} \right)^{\!2}
\!\!+\! \sum_{P=x,y,z} \left( \frac{\Sigma_{b_H b_L jj l \nu}P_{i}
}{\sigma_{P}} \right)^{\!2} $$
FH (4 terms):
$$
\left( \frac{\sum_{i \in 6\text{j}} E_i \!-\! E_{com}}{\sigma_E}
\right)^{\!2} \!\!+\! \sum_{P=x,y,z} \left( \frac{\sum_{i \in 6\text{j}}
P_{i}}{\sigma_{P}} \right)^{\!2} $$
Mass Constraints
SL (4 terms):
$$
\left( \frac{M_{b_H jj}\!-\!M_{t_H}}{\sigma_{M_{t_H}}} \right)^{\!2}
\!\!+\! \left( \frac{M_{b_L l \nu}\!-\!M_{t_L}}{\sigma_{M_{t_L}}}
\right)^{\!2} \!\!+\! \left( \frac{M_{jj}\!-\!M_{W_H}}{\sigma_{M_{W_H}}}
\right)^{\!2} \!\!+\! \left( \frac{M_{l
\nu}\!-\!M_{W_L}}{\sigma_{M_{W_L}}} \right)^{\!2} $$
FH (4 terms):
$$
\left( \frac{M_{(bjj)_1}\!-\!M_{t_1}}{\sigma_{M_{t_1}}} \right)^{\!2}
\!\!+\! \left( \frac{M_{(bjj)_2}\!-\!M_{t_2}}{\sigma_{M_{t_2}}}
\right)^{\!2} \!\!+\! \left(
\frac{M_{(jj)_1}\!-\!M_{W_1}}{\sigma_{M_{W_1}}} \right)^{\!2} \!\!+\!
\left( \frac{M_{(jj)_2}\!-\!M_{W_2}}{\sigma_{M_{W_2}}} \right)^{\!2} $$
Energy Calibration
SL (4 terms):
$$
\sum_{k \in \{b_{H,L}, jj, l\}} \!\!\! \left( sf_{k} \!-\! 1 \right)^2
$$
FH (6 terms):
$$
\sum_{k=1}^{6} \left( sf_{\text{jet}_k} \!-\! 1 \right)^2 $$
- Optimization Thresholds:
Semi-leptonic (12 terms): $\chi^2 < 10.0$ |
Full-hadronic (14 terms): $\chi^2 < 9.0$.
Strict $\chi^2$ cuts deeply suppress irreducible single-top
backgrounds.
- Final Signal Efficiency ($\sqrt{s}$ = 342–344 GeV):
sl ~50%,
hh ~60%.
- Profiled Likelihood Scan:
- Multi-dimensional scan on $\mathcal{L}$ over $m_t, \Gamma_t, \alpha_S, y_t$; all
systematics except theoretical $t\bar{t}$ cross-section uncertainty are
profiled.
- Combines $N=5$ energy points $\sqrt{s} = \{342.0,\, 342.5,\, 343.0,\, 343.5,\, 344.0\}$
GeV; observed count $D$ follows Poisson distribution $P$ at each energy.
Likelihood Function (Eq. 2):
$$ \mathcal{L} = \prod_{i=1}^{N} P\!\Big( D \;\Big|\; \big(\sigma^{t\bar{t}}_i(m_t, \Gamma_t,
\alpha_S, y_t, \sqrt{s}_i, \xi) \cdot \epsilon^s_i(\xi) + \sigma^{\text{bkg}}_i(\sqrt{s}_i, \xi)
\cdot \epsilon^b_i(\xi)\big) \times L_i \Big) \;\times\; \mathcal{N}(\xi\,|\,0,1) $$
$\sigma^{t\bar{t}}_i$: signal XS from QQbar_threshold; $\epsilon^{s,b}_i$: selection
efficiencies; $\sigma^{\text{bkg}}_i$: background XS; $L_i$: integrated luminosity; $\xi$:
nuisance parameters constrained by Gaussian priors $\mathcal{N}(\xi|0,1)$.
- Profiled Systematic Uncertainties — impacts on $m_t$ / $\Gamma_t$:
- Physics parameters — the
leading systematic sources:
- $y_t$ (3% precision by HL-LHC era): → 4.2 / 5.9 MeV
- $\alpha_S$ (projected 0.0001 from $Z$-pole): → 2.4 / 3.1
MeV
- These are constrained by Gaussian priors from external
measurements and profiled in the likelihood fit.
| Uncertainties |
$m_t$ [MeV] |
$\Gamma_t$ [MeV] |
| BASE |
EXT |
BASE |
EXT |
|
Statistics |
±5.6 |
±4.6 |
±18.0 |
±14.6 |
|
$\alpha_S$ ★ |
±2.4 |
±3.1 |
|
$y_t$ ★ |
±4.2 |
±5.9 |
| Luminosity |
±0.1 |
±0.1 |
| BE |
±1.3 |
±0.0 |
| LS |
±0.2 |
±2.8 |
| $b$-tagging |
±1.0 |
±1.7 |
| Total |
±7.5 |
±6.7 |
±19.4 |
±16.2 |
| Theory |
${}^{+1.3}_{-32.9}$ |
${}^{+0.0}_{-79.9}$ |
Tab. 3. Uncertainty budget. ★ = highlighted
on this slide.
- Machine & Detector — sub-dominant sources:
- Luminosity spectrum (1%): 0.2 / 2.8 MeV — largest detector
effect on $\Gamma_t$.
- Beam energy (1.8 MeV/beam): 1.3 / 0.0 MeV.
- $b$-tagging efficiency (1%): 1.0 / 1.7 MeV.
- Luminosity measurement (0.01%): 0.1 / 0.1 MeV — negligible.
| Uncertainties |
$m_t$ [MeV] |
$\Gamma_t$ [MeV] |
| BASE |
EXT |
BASE |
EXT |
|
Statistics |
±5.6 |
±4.6 |
±18.0 |
±14.6 |
| $\alpha_S$ |
±2.4 |
±3.1 |
| $y_t$ |
±4.2 |
±5.9 |
|
Luminosity ★ |
±0.1 |
±0.1 |
| BE
★ |
±1.3 |
±0.0 |
| LS
★ |
±0.2 |
±2.8 |
|
$b$-tagging ★ |
±1.0 |
±1.7 |
| Total |
±7.5 |
±6.7 |
±19.4 |
±16.2 |
| Theory |
${}^{+1.3}_{-32.9}$ |
${}^{+0.0}_{-79.9}$ |
Tab. 3. Uncertainty budget. ★ = highlighted
on this slide.
- Non-profiled Theoretical
Uncertainty:
- Renormalization scale variation (×0.5, ×2.0), envelope
convention:
- Highly asymmetric: marginal upward, significant downward shift up to $-5\%$.
- $\Delta m_t =
{}^{+1.3}_{-32.9}$ MeV, $\;\Delta\Gamma_t = {}^{+0.0}_{-79.9}$ MeV — currently
the limiting factor.
- $\alpha_S$ and $y_t$ extraction:
- $\delta\alpha_S = 0.00143\;(0.00116)$
- $\delta y_t = 0.197\;(0.160)$
- With $m_t, \Gamma_t$ profiled as free parameters.
| Uncertainties |
$m_t$ [MeV] |
$\Gamma_t$ [MeV] |
| BASE |
EXT |
BASE |
EXT |
|
Statistics |
±5.6 |
±4.6 |
±18.0 |
±14.6 |
| $\alpha_S$ |
±2.4 |
±3.1 |
| $y_t$ |
±4.2 |
±5.9 |
| Luminosity |
±0.1 |
±0.1 |
| BE |
±1.3 |
±0.0 |
| LS |
±0.2 |
±2.8 |
| $b$-tagging |
±1.0 |
±1.7 |
|
Total ★ |
±7.5 |
±6.7 |
±19.4 |
±16.2 |
| Theory ★ |
${}^{+1.3}_{-32.9}$ |
${}^{+0.0}_{-79.9}$ |
Tab. 3. Uncertainty budget. ★ = highlighted
on this slide.
- Two-dimensional Likelihood Scans:
- Full systematic uncertainties except theoretical $t\bar{t}$ XS
are profiled.
- BASE scenario: 56 fb$^{-1}$/pt (total 280 fb$^{-1}$).
- Precision (BASE):
$\Delta m_t$: stat. = ±5.6 MeV, total
= ±7.5 MeV
$\Delta\Gamma_t$: stat. = ±18.0 MeV, total = ±19.4 MeV
$\delta\alpha_S = 0.00143$, $\;\delta y_t = 0.197$
- Two-dimensional Likelihood Scans:
- Full systematic uncertainties except theoretical $t\bar{t}$ XS
are profiled.
- EXT scenario: 84 fb$^{-1}$/pt (420 fb$^{-1}$ total), 50% lumi upgrade.
- Precision (EXT):
$\Delta m_t$: stat. = ±4.6 MeV, total
= ±6.7 MeV
$\Delta\Gamma_t$: stat. = ±14.6 MeV, total = ±16.2 MeV
$\delta\alpha_S = 0.00116$, $\;\delta y_t = 0.160$
- Milestone: First comprehensive study with the CEPC
reference detector
- Simultaneous extraction of $m_t, \Gamma_t, \alpha_S, y_t$ via optimized 5-point scan.
- Dedicated kinematic selections newly optimized at the $t\bar{t}$ threshold.
- Key Projected Precision (excl.
theoretical XS uncertainty):
- $\Delta\Gamma_t = $ 19.4 (16.2) MeV — one order of magnitude improvement.
- $\delta\alpha_S = 0.00143\;(0.00116)$, $\;\delta y_t = 0.197\;(0.160)$.
- FCC-ee context: EXT luminosity yields mass precision highly
consistent with FCC-ee.
Top-Mass Precision (BASE / EXT):
7.5
(6.7) MeV
Nearly 2
orders of mag. beyond HL-LHC
Critical Outlook:
Precision is currently dominated by theoretical $t\bar{t}$ XS uncertainty
(N$^3$LO scale variation): $\Delta m_t = {}^{+1.3}_{-32.9}$ MeV, $\Delta\Gamma_t =
{}^{+0.0}_{-79.9}$ MeV. If improved to the scale of experimental statistical uncertainty,
$m_t$
precision can reach a few MeV.
Comparison with CEPC TDR 2025
- Key Differences:
- Fit dimension: 1D ($m_t$
only) → 2D ($m_t, \Gamma_t$), with $\alpha_S$ and $y_t$
profiled (Gaussian priors).
- Luminosity: 100 fb$^{-1}$ (1
point) → 280 / 420 fb$^{-1}$ (5 points).
- Prior Assumptions Tightened:
- Beam energy: 2.6 → 1.8 MeV/beam.
- LS uncertainty: 10–20% → 1%.
- $\alpha_S$: external 0.0007/0.0001 → profiled (prior
0.0001).
- $y_t$: not considered → profiled (prior 3%).
- Theory treatment:
- TDR: assumed flat 1% / 3%.
- This work: explicit scale variation (×0.5, ×2.0),
non-profiled.
Tab. Setup comparison between TDR 2025 (Ref: Li et al. EPJC 2023) and this work.
- Side-by-side $m_t$ uncertainty budget — TDR 2025 (1D fit, 100 fb$^{-1}$)
vs. this work (2D fit with $\alpha_S, y_t$ profiled, 280/420 fb$^{-1}$).
TDR 2025 — $m_t$ only (1D)
|
Source |
Optim.
|
Conserv.
|
|
Statistics |
±7 |
±7 |
| Theory |
±8 |
±24 |
| Quick scan |
±2 |
±2 |
| $\alpha_S$ |
±3 |
±16 |
| Top width |
±5 |
±5 |
| Exp. efficiency |
±4 |
±9 |
| Background |
±1 |
±3 |
| Beam energy |
±2 |
±2 |
| Lumi. spectrum |
±3 |
±6 |
| Total (excl. theory) |
±11 |
±21 |
| Total |
±14 |
±32 |
All values in MeV.
This Work — 2D fit ($m_t, \Gamma_t$) + profiled $\alpha_S, y_t$
|
Source |
BASE |
EXT |
|
Statistics |
±5.6 |
±4.6 |
| $\alpha_S$ |
±2.4 |
| $y_t$ |
±4.2 |
| Luminosity |
±0.1 |
| Beam energy |
±1.3 |
| Lumi. spectrum |
±0.2 |
| $b$-tagging |
±1.0 |
| Total (excl. theory) |
±7.5 |
±6.7 |
| Theory |
${}^{+1.3}_{-32.9}$ |
All values in MeV.
TDR items no longer separate in this work:
• Top width — now a POI in the 2D fit, not an external prior.
• Quick scan — replaced by fixed 5-point Fisher-optimized strategy.
• Exp. efficiency — decomposed into explicit $b$-tagging evaluation.
• Background — absorbed into the profiled likelihood ($\sigma^{bkg}_i$,
$\epsilon^b_i$).
New systematics in this work:
• $y_t$ (±4.2 MeV) — top Yukawa coupling,
profiled with 3% prior (HL-LHC projection).
• $b$-tagging (±1.0 MeV) — explicitly evaluated at 1% uncertainty
level.
• Luminosity meas. (±0.1 MeV) — from $Z$-pole calibration (0.01%).
Key Improvements:
Statistics: ±7 → ±5.6 (±4.6) MeV |
Total (excl. theory): ±11 → ±7.5 (±6.7) MeV
|
Now extracting $m_t$ and $\Gamma_t$
simultaneously, with $\alpha_S$ and $y_t$ profiled as constrained nuisances.
- To distinguish between semi-leptonic (sl) and fully hadronic
(hh) events, the number of isolated
leptons in the event is a key discriminant.
- Leptons with E > 12 GeV and IPS < 3.3 are selected as isolated leptons.
- The distributions shown below are based on $W^+$ decays as a representative
example; $W^-$ decays exhibit identical kinematic trends as expected from
charge symmetry.
e$^+$ Energy
e$^+$ IPS
$\mu^+$ Energy
$\mu^+$ IPS
- In the $e^+e^- k_T$ algorithm, the distance measure is defined as
$d_{ij}=2\min(E_i^2,E_j^2)(1-\cos\theta_{ij})$, and the dimensionless clustering cost is
$y_{ij} = d_{ij} / s$.
- Strong Discriminating Power: Signal events ($t\bar{t}$) contain more
Born-level partons and hard gluon emissions, incurring significantly higher clustering costs
(e.g. $y_{34}$) when clustering to fewer jets. This allows for an effective separation of
signal from multi-boson and $q\bar{q}$ backgrounds.
$\log y_{34}$ distribution in the sl
channel
$\log y_{34}$ distribution in the hh
channel
- Sphericity ($S$): Calculated from the sphericity tensor $S^{\alpha\beta} =
\left(\sum_i p_i^\alpha p_i^\beta / |\mathbf{p}_i|\right) / \left(\sum_i
|\mathbf{p}_i|\right)$ with eigenvalues $\lambda_1 \geq \lambda_2 \geq \lambda_3$. Defined
as $S = \frac{3}{2}(\lambda_2+\lambda_3) \to 1$ for sphere-like events ($t\bar{t}$),
distinguishing them from pencil-like topologies (dijet, diboson, $\to 0$).
- Thrust ($T$): Defined as $T = \max_{|\mathbf{n}|=1} [\sum_i |\mathbf{p}_i
\cdot \mathbf{n}| / \sum_i |\mathbf{p}_i|]$, it ranges from $0.5$ (isotropic events) to $1$
(back-to-back topologies).
- (Both distributions shown below take the sl
channel as a representative example.)
Sphericity ($S$)
Thrust ($T$)
- Energy scale factor $s_f$ in kinematic fit:
- The kinematic fit introduces an energy scale factor $s_f$ for each jet to absorb
detector resolution effects.
- Taking the fully hadronic (hh) channel as an example, the
fitted $s_f$ distribution peaks sharply at $s_f \approx 1$, confirming that the
detector energy response is well-calibrated.
- A narrow spread around unity indicates that the kinematic constraints are
functioning as designed, with minimal bias introduced by the fit.
- Comparison with FCC-ee latest result
(arXiv:2503.18713):
- At comparable luminosity (EXT), the CEPC projected $m_t$ precision is highly consistent
with FCC-ee.
- The $\Gamma_t$ precision is worse than FCC-ee, mainly from
theory:
- CEPC: $^{+0.0}_{-79.9}$ MeV vs. FCC-ee: ~$-$25 MeV.
- $\Gamma_t$ is extracted from the width of the threshold
peak — scale variation's downward shift compresses the peak
shape, impacting $\Gamma_t$ far more than $m_t$.
- This work takes a conservative full envelope (×0.5/×2),
while FCC-ee applies a more refined scale decomposition → smaller
envelope.
- Both studies are dominated by the same N$^3$LO theoretical XS
uncertainty bottleneck.
| Source
|
$\Delta m_t$ [MeV] |
$\Delta\Gamma_t$ [MeV] |
|
BASE |
EXT |
BASE |
EXT |
|
Statistics ★ |
±5.6 |
±4.6 |
±18.0 |
±14.6 |
| $\alpha_S$ |
±2.4 |
±3.1 |
| $y_t$ |
±4.2 |
±5.9 |
| Lumi / BE / LS / $b$-tag
|
sub-dom. |
sub-dom. |
|
Total ★ |
±7.5
|
±6.7
|
±19.4
|
±16.2
|
| Theory ★ |
${}^{+1.3}_{-32.9}$ |
${}^{+0.0}_{-79.9}$ |
Tab. 3. CEPC uncertainty budget. ★ =
comparison rows.