RECORD
Improving sensitivity of trilinear RPV SUSY searches using machine learning at the LHC
High Energy Physics - Phenomenology · Submitted 4 Aug 2023
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim We have shown that under this circumstance, a final state with $\ge 4l$ has the highest sensitivity in probing the gaugino masses.
The compiled record
The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.
Open the compiled record
The abstract, sentence by sentence
In this work, we have explored the sensitivity of multilepton final states in probing the gaugino sector of R-parity violating supersymmetric scenario with specific lepton number violating trilinear couplings ($\lambda_{ijk}$) being non-zero. The gaugino spectrum is such that the charged leptons in the final state can arise from the R-parity violating decays of the lightest supersymmetric particle (LSP) as well as R-parity conserving decays of the next-to-LSP (NLSP). Apart from a detailed cut-based analysis, we have also performed a machine learning-based analysis using boosted decision tree algorithm which provides much better sensitivity. In the scenarios with non-zero $\lambda_{121}$ and/or $\lambda_{122}$ couplings, the LSP pair in the final states decays to $4l~(l = e, \mu) + \rm E{\!\!\!/}_T$ final states with $100\%$ branching ratio. We have shown that under this circumstance, a final state with $\ge 4l$ has the highest sensitivity in probing the gaugino masses. We also discuss how the sensitivity can change in the presence of $\tau$ lepton(s) in the final state due to other choices of trilinear couplings. We present our results through the estimation of the discovery and exclusion contours in the gaugino mass plane for both the HL-LHC and the HE-LHC. For $\lambda_{121}$ and/or $\lambda_{122}$ nonzero scenario, the projected 2$\sigma$ exclusion limit on NLSP masses reaches upto 2.37 TeV and 4 TeV for the HL-LHC and the HE-LHC respectively by using a machine learning based algorithm. We obtain an enhancement of $\sim$ 380 (190) GeV in the projected 2$\sigma$ exclusion limit on the NLSP masses at the 27 (14) TeV LHC. Considering the same final state ($N_l \geq 4$) for $\lambda_{133}$ and/or $\lambda_{233}$ non-zero scenario, we find that the corresponding 2$\sigma$ projected limits are $\sim$ 1.97 TeV and $\sim$ 3.25 TeV for the HL-LHC and HE-LHC respectively.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | In this work, we have explored the sensitivity of multilepton final states in probing the gaugino sector of R-parity violating supersymmetric scenario with specific lepton number violating trilinear couplings ($\lambda_{ijk}$) being non-zero. | contribution 0.97 | 0.90 | 0.05 | asserted 0.92 |
| s1 | The gaugino spectrum is such that the charged leptons in the final state can arise from the R-parity violating decays of the lightest supersymmetric particle (LSP) as well as R-parity conserving decays of the next-to-LSP (NLSP). | background 0.93 | 0.22 | 0.03 | asserted 0.95 |
| s2 | Apart from a detailed cut-based analysis, we have also performed a machine learning-based analysis using boosted decision tree algorithm which provides much better sensitivity. | method 0.82 | 0.97 | 0.20 | asserted 1.00 |
| s3 | In the scenarios with non-zero $\lambda_{121}$ and/or $\lambda_{122}$ couplings, the LSP pair in the final states decays to $4l~(l = e, \mu) + \rm E{\!\!\!/}_T$ final states with $100\%$ branching ratio. | result 0.93 | 0.72 | 0.09 | asserted 1.00 |
| s4 | We have shown that under this circumstance, a final state with $\ge 4l$ has the highest sensitivity in probing the gaugino masses. | result 0.86 | 0.91 | 0.35 | asserted 1.00 |
| s5 | We also discuss how the sensitivity can change in the presence of $\tau$ lepton(s) in the final state due to other choices of trilinear couplings. | contribution 0.91 | 0.70 | 0.03 | unclear 0.49 |
| s6 | We present our results through the estimation of the discovery and exclusion contours in the gaugino mass plane for both the HL-LHC and the HE-LHC. | contribution 0.62 | 0.92 | 0.09 | asserted 0.98 |
| s7 | For $\lambda_{121}$ and/or $\lambda_{122}$ nonzero scenario, the projected 2$\sigma$ exclusion limit on NLSP masses reaches upto 2.37 TeV and 4 TeV for the HL-LHC and the HE-LHC respectively by using a machine learning based algorithm. | result 1.00 | 0.94 | 0.36 | asserted 1.00 |
| s8 | We obtain an enhancement of $\sim$ 380 (190) GeV in the projected 2$\sigma$ exclusion limit on the NLSP masses at the 27 (14) TeV LHC. | result 0.99 | 0.93 | 0.19 | asserted 1.00 |
| s9 | Considering the same final state ($N_l \geq 4$) for $\lambda_{133}$ and/or $\lambda_{233}$ non-zero scenario, we find that the corresponding 2$\sigma$ projected limits are $\sim$ 1.97 TeV and $\sim$ 3.25 TeV for the HL-LHC and HE-LHC respectively. | result 1.00 | 0.96 | 0.12 | asserted 1.00 |
What was examined, and what was not
- arXiv listing abstract v1
- full text
- figures and tables
- references and citing sentences
- relations to other papers
- P abstract
- S sections
- T body sentences
- C citations
- R cross-paper relations
The paper
Original abstract
In this work, we have explored the sensitivity of multilepton final states in probing the gaugino sector of R-parity violating supersymmetric scenario with specific lepton number violating trilinear couplings ($\lambda_{ijk}$) being non-zero. The gaugino spectrum is such that the charged leptons in the final state can arise from the R-parity violating decays of the lightest supersymmetric particle (LSP) as well as R-parity conserving decays of the next-to-LSP (NLSP). Apart from a detailed cut-based analysis, we have also performed a machine learning-based analysis using boosted decision tree algorithm which provides much better sensitivity. In the scenarios with non-zero $\lambda_{121}$ and/or $\lambda_{122}$ couplings, the LSP pair in the final states decays to $4l~(l = e, \mu) + \rm E{\!\!\!/}_T$ final states with $100\%$ branching ratio. We have shown that under this circumstance, a final state with $\ge 4l$ has the highest sensitivity in probing the gaugino masses. We also discuss how the sensitivity can change in the presence of $\tau$ lepton(s) in the final state due to other choices of trilinear couplings. We present our results through the estimation of the discovery and exclusion contours in the gaugino mass plane for both the HL-LHC and the HE-LHC. For $\lambda_{121}$ and/or $\lambda_{122}$ nonzero scenario, the projected 2$\sigma$ exclusion limit on NLSP masses reaches upto 2.37 TeV and 4 TeV for the HL-LHC and the HE-LHC respectively by using a machine learning based algorithm. We obtain an enhancement of $\sim$ 380 (190) GeV in the projected 2$\sigma$ exclusion limit on the NLSP masses at the 27 (14) TeV LHC. Considering the same final state ($N_l \geq 4$) for $\lambda_{133}$ and/or $\lambda_{233}$ non-zero scenario, we find that the corresponding 2$\sigma$ projected limits are $\sim$ 1.97 TeV and $\sim$ 3.25 TeV for the HL-LHC and HE-LHC respectively.
Human review
References
How the literature uses it
6 arXiv papers cite this in 21 sentences
Papers citing it · 8 sentences without a confident label
Uses its method or tool 2 papers
-
The track and calorimeter isolation, $b-$tagging efficiency, generation level cuts, jet matching, etc. are done in a similar way as prescribed in Sec.3 of Ref. [ref] .
Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC · Collider analysis · 1.00
-
Lepton-lepton isolation, lepton-jet isolation, etc, also have been implemented as described in the Refs. [ref] .
Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks · Performance of different Decision Tree based algorithms - a RPC SUSY case study at the HL-LHC · 0.89
Uses its data or values 4 papers
-
The cross-sections for the SM backgrounds are taken from Table 11 and Table 13 of Ref. [ref] .
Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC · Collider analysis · 1.00
-
It has been shown that an optimized cut-based analysis will be able to exclude $$ upto 2.18 TeV at the HL-LHC from wino like $$ and $$ productions [ref] .
Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks · Searches for RPV SUSY scenarios using BDT · 0.80
-
The projected discovery and exclusion reaches of the HL-LHC ($√(s) = 13$ TeV and $ℒ = 3000$ fb$^-1$) and HE-LHC ($√(s) = 27$ TeV and $ℒ = 3000$ fb$^-1$) obtained in [ref] are illustrated in the left and right panel of Fig.[ref] respectively.
Status of R-parity violating SUSY · Prospect of electroweakino searches at the HL-LHC and HE-LHC · 0.99
Compares with it 1 paper
-
Our method should be contrasted with existing ML-based approaches to SUSY in the literature which are fully supervised (see e.g. [ref] ).
Combining Resonant and Tail-based Anomaly Detection · Introduction · 0.81
Cites it as background 4 papers
-
The works in Ref. [ref] have considered the $LLE$ type couplings while $UDD$ type coupling has been studied in [ref] .
Status of R-parity violating SUSY · Prospect of electroweakino searches at the HL-LHC and HE-LHC · 0.89
-
For more details on the LSP decay modes and charged lepton configurations for various scenarios see Sec. 2 of Ref. [ref] .
Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC · Model Definition · 0.92
-
In particular, the diverse signatures arising from LSP decays in the RPV-MSSM have been explored in a wide range of phenomenological studies; see, e.g., Refs. [ref] .
The ABC of RPV III: Classification of R-parity Violating Signatures from LQD Couplings and their Coverage at the LHC · Introduction · 0.89
What it cites · 78 sentences without a confident label
Uses the method or tool of 10 papers
-
For the reconstruction of leptons (electron, muon), we have followed the isolation, overlap removal procedures etc. according to the ATLAS analysis as mentioned in Sec. 5 of [ref] .
Search for supersymmetry in events with four or more charged leptons in $139\,\mbox{fb\(^{-1}\)}$ of $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector · Collider Analysis · 1.00
-
For our ML-based multi-variate analysis we have used Extreme Gradient Boosted decision tree algorithm through XGBoost machine learning toolkit [ref] .
XGBoost: A Scalable Tree Boosting System · Prospect at the HL-LHC using Machine Learning based analysis · 1.00
-
Then all these events passed through a fast detector simulation in the platform [ref] (version-3.5.0).
DELPHES 3, A modular framework for fast simulation of a generic collider experiment · Collider Analysis · 1.00
Uses data or values from 1 paper
-
Following the ATLAS analysis [ref] , the b-tagging efficiency has been chosen to be 85$%$ and the light jet mistagging efficiency (as b-jet) 25$%$.
Search for supersymmetry in events with four or more charged leptons in $139\,\mbox{fb\(^{-1}\)}$ of $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector · Collider Analysis · 0.80
Cites as background 43 papers
-
Depending on the choice of the LSP and non-zero RPV coupling, there can be a plethora of different kinds of final states [ref] .
The ABC of RPV: Classification of R-Parity Violating Signatures at the LHC for Small Couplings · Introduction · 0.83
-
Depending on the choice of the LSP and non-zero RPV coupling, there can be a plethora of different kinds of final states [ref] .
Natural SUSY's Last Hope: R-parity Violation via UDD Operators · Introduction · 0.83
-
Depending on the choice of the LSP and non-zero RPV coupling, there can be a plethora of different kinds of final states [ref] .
Electroweakino searches at the HL-LHC in the baryon number violating MSSM · Introduction · 0.83
Discussion
Know something about this paper? Leave a comment, or highlight any passage above to comment on it.