Search for the SUSY electroweak sector at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>e</mml:mi><mml:mi>p</mml:mi></mml:math> colliders
Bibliographic record
Abstract
The sensitivity of future electron-proton colliders, the LHeC and FCC-eh, to weakly produced supersymmetric particles is evaluated in this paper. Supersymmetric scenarios where charginos (${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{\ifmmode\pm\else\textpm\fi{}}$) and neutralinos (${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{0}$ and ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{2}^{0}$) are nearly degenerate in mass are considered. Two sets of models, which differ in the mass of sleptons ($\stackrel{\texttildelow{}}{\ensuremath{\ell}}$), are studied. Under the hypothesis that slepton masses are at the multi-TeV scale (``decoupled'' scenario), the production processes for charginos and neutralinos at $ep$ colliders, $p{e}^{\ensuremath{-}}\ensuremath{\rightarrow}j{e}^{\ensuremath{-}}\stackrel{\texttildelow{}}{\ensuremath{\chi}}\stackrel{\texttildelow{}}{\ensuremath{\chi}}$ with $\stackrel{\texttildelow{}}{\ensuremath{\chi}}={\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{0}$, ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{\ifmmode\pm\else\textpm\fi{}}$ or ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{2}^{0}$, are considered. For the models where slepton masses are above but close to ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{\ifmmode\pm\else\textpm\fi{}}$, ${\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{2}^{0}$ masses (``compressed'' scenario), contributions from the processes $p{e}^{\ensuremath{-}}\ensuremath{\rightarrow}j\stackrel{\texttildelow{}}{\ensuremath{\chi}}{\stackrel{\texttildelow{}}{e}}_{L}^{\ensuremath{-}}$ and $j\stackrel{\texttildelow{}}{\ensuremath{\chi}}\stackrel{\texttildelow{}}{\ensuremath{\nu}}$ followed by the decays ${\stackrel{\texttildelow{}}{e}}_{L}^{\ensuremath{-}}\ensuremath{\rightarrow}{\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1,2}^{0}+{e}^{\ensuremath{-}}$ and $\stackrel{\texttildelow{}}{\ensuremath{\nu}}\ensuremath{\rightarrow}{\stackrel{\texttildelow{}}{\ensuremath{\chi}}}_{1}^{+}+{e}^{\ensuremath{-}}$ are also taken into account. These scenarios are analyzed with realistic detector performance, using multivariate techniques. Effects of systematic uncertainties and electron beam polarization dependence are also discussed. The reach is found to be complementary to the one obtained at $pp$ colliders, in particular for the compressed-slepton scenario.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".