Where’s SUSY?
The electroweak SUSY landscape
after ATLAS Run 2 searches
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Ben Hodkinson
Outline
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Based on the recent ATLAS electroweak pMSSM scan CONF note (ATLAS-CONF-2023-055) and my PhD thesis (https://doi.org/10.17863/CAM.104677)
→ If a plot has an ATLAS label it’s from the CONF note, otherwise from my thesis!
SUSY 101
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Hierarchy problem
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∝+m(s)2
∝ -m(f)2
Corrections to squared Higgs mass
Fermion loop
Scalar loop
Hierarchy problem
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∝+m(s)2
∝ -m(f)2
Corrections to squared Higgs mass
Fermion loop
Scalar loop
The SUSY particle zoo
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The SUSY particle zoo
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Electroweak sector
The SUSY particle zoo
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Electroweak sector
Pre-EWSB:
U(1) gauge field:
B
SU(2) gauge fields:
W0, W+, W-
The SUSY particle zoo
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Electroweak sector
Partners of the SM pre-EWSB
B and W fields are the “Wino” and “Bino”
Pre-EWSB:
U(1) gauge field:
B
SU(2) gauge fields:
W0, W+, W-
The SUSY particle zoo
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Electroweak sector
Pre-EWSB:
U(1) gauge field:
B
SU(2) gauge fields:
W0, W+, W-
The SUSY particle zoo
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The MSSM
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Electroweak SUSY
The rest of this seminar will focus on electroweak production, ie. neutralinos and charginos
Interesting because:
Electroweak SUSY
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If bino, wino and higgsino mass parameters are well separated you get…
Higgsinos: Two neutralinos and a chargino(s) close in mass
Winos: One neutralino and chargino(s) close in mass
Bino: One neutralino
“Lightest SUSY particle” = LSP
Electroweak SUSY
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If bino, wino and higgsino mass parameters are well separated you get…
Higgsinos: Two neutralinos and one chargino close in mass
Winos: One neutralino and one chargino close in mass
Bino: One neutralino
“Lightest SUSY particle” = LSP
SUSY signal models
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Minimally Supersymmetric Standard Model
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SUSY model has
many parameters!”
MSSM
Simplified models
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Simplified models
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Simplified models
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Simplified models
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SUSY model
simple!”
Phenomenological MSSM
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Project 19-dim pMSSM into 2D planes and evaluate our sensitivity:
Phenomenological MSSM
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SUSY MODEL
could scan and analyse the parameter space on the timescale of her PhD.
pMSSM
pMSSM assumptions
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Based on experimental constraints and general features of SUSY breaking mechanisms.
pMSSM assumptions
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Based on experimental constraints and general features of SUSY breaking mechanisms.
R-parity conservation
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Note: R-parity violating models also exist but have very different collider signatures (not considered here).
R-parity conservation
→ Sparticles must be produced in pairs at colliders
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Note: R-parity violating models also exist but have very different collider signatures (not considered here).
R-parity conservation
→ Sparticles must be produced in pairs at colliders
→ Lightest SUSY particle (LSP) cannot decay
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Note: R-parity violating models also exist but have very different collider signatures (not considered here).
R-parity conservation
→ Sparticles must be produced in pairs at colliders
→ Lightest SUSY particle (LSP) cannot decay
→ LSP is an ideal cold dark matter candidate!
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Note: R-parity violating models also exist but have very different collider signatures (not considered here).
Phenomenological MSSM
= MSSM + assumptions
→ 19 parameters
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Full MSSM
= 100+ parameters → Too many
MSSM
Simplified models are too simple
Simplified
model
pMSSM
Scanning the pMSSM
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Workflow
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Random scan
Generate models & MC events
Evaluate searches with SimpleAnalysis and RECAST
EWK pMSSM scan
Random scan with uniform priors over parameters relevant to production of charginos and neutralinos:
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Interlude:
Dark Matter in the pMSSM
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Dark Matter: Thermal freeze-out
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Planck mission: Observes a “density” of DM in the universe of: Ωh2 = 0.12
→ Compared to 0.0224 for baryonic matter
The SUSY story of how we got there (also applies to non-SUSY cold dark matter models):
Dark matter in the pMSSM
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→“Bino-like”, “Higgsino-like” or “Wino-like” depending on dominant component…
Dark matter relic density of models
We allow LSP to be a sub-dominant DM component
Higgsino/Wino-like LSP:
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Dark matter relic density of models
We allow LSP to be a sub-dominant DM component
Higgsino/Wino-like LSP:
Bino LSP:
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Bino-LSP models: DM relic density
Regions with satisfactory DM relic density for bino-LSP models:
Targeted scan performed to oversample these regions
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Bino-LSP models: DM relic density
Regions with satisfactory DM relic density for bino-LSP models:
Targeted scan performed to oversample these regions
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Final pMSSM model samples
EWKino scan
Bino-DM scan
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Workflow
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Workflow
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Initial constraints applied
Workflow
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Only simulate models where we expect some sensitivity
Initial constraints applied
Workflow
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Only simulate models where we expect some sensitivity
Particle-level evaluation first to check if model is likely to be excluded or not
Initial constraints applied
Workflow
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Only simulate models where we expect some sensitivity
Detector simulation for models where particle-level evaluation is insufficient
→ This is what separates this from non-ATLAS pheno studies
Particle-level evaluation first to check if model is likely to be excluded or not
Initial constraints applied
Excluding pMSSM models with ATLAS Run 2 analyses
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Phenomenologically viable SUSY models
The ATLAS Run 2 dataset
Searches included
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All key signature Run 2 EW searches are included, covering each final-state lepton multiplicity:
1Lbb
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Simplified model limits
pMSSM exclusion
1Lbb simplified model:
1Lbb
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1Lbb simplified model:
3L
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Preference for Z decay mode
3L simplified model:
Fully hadronic
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Targeted generic heavy electroweakino production
In the pMSSM this includes second chargino and third/fourth neutralino
2L0J
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Preference for Wino-like charginos
→ higher production cross-section
2L0J simplified model:
2L0J
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Higgsino 𝜒̃±1 preferred in Bino-DM scan
→ weaker sensitivity
2L0J simplified model:
Compressed
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Compressed higgsino simplified model:
At smaller mass-splittings, the radiative decay mode becomes dominant → reduced sensitivity
Disappearing track
Evaluated using cross-section upper limits only
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bSM Higgs analyses
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BR(h→invisible) gets contributions from h→𝜒̃01𝜒̃01
Constraints on the mass of the pseudoscalar A from Higgs measurements
External constraints
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External constraints
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EW precision constraints
Average W mass measurement
→ window widened by 6 MeV to account for uncertainty on top-quark mass
CDF result not used
→ would be strongly constraining if confirmed (~4% models lie in CDF W mass range)
Constraints on Δ⍴ and Γ(Z→invisible) also applied
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Flavour constraints
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Latest LHCb Bs→ μμ measurement
pMSSM models get loop contributions
Constraints on Bu→ 𝛕 𝝂 and b→s𝜸 also included
Overall exclusion
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Overall ATLAS sensitivity
Sensitivity to compressed scenarios through heavier electroweakino decays
Even low mass bins don’t have 100% exclusion…
Important to improve depth of sensitivity as well as target new regions!
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Overall exclusion
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Bino-DM scan
When dark matter constraints are included, the region our searches target is not very well populated!
Mostly compressed scenarios remain
Grey bins = No models
Overall exclusion
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Exclusion beyond the overlaid contour from FullHad, 2L2J and Disappearing Track
Overall exclusion
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Disappearing track does a good job constraining wino-LSP scenarios (red)
Bino and Higgsino-LSP scenarios remain viable even at 100 GeV and below
Direct detection complementarity
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ATLAS and LZ sensitivity is complementary
Bino-LSP dark matter
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Z/h funnel regions are almost entirely excluded
𝜒̃±1/𝜒̃02 co-annihilation scenarios are compressed → hard to target
A/H funnel allows non-compressed models at higher mass
Higgsino/Wino-LSP dark matter
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Higgsino-LSP models unexcluded right on the LEP limit!
Wino-LSP scenarios that saturate the relic density are entirely excluded (mostly by direct DM detection experiments)
Overall exclusion
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ATLAS exclusion of each sparticle (after all external and dark matter constraints)
EWKino scan
Mainly wino/higgsino LSP
Bino-DM scan
Comparison with Run 1
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A similar effort was published in 2015 using the Run 1 2L, 3L and 4L searches:
https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2015-12/
This used a different model sample and scanning strategy, but we can still compare to get a qualitative idea of how the sensitivity has improved…
Run 1 vs. Run 2 EWK pMSSM scans
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Run 1
Run 2
Run-1 vs. Run-2 EWK pMSSM scans
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Run 1
Run 2
Uncovered scenarios
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Benchmark models
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Remaining Z/h funnel region model
Higgsino-like 𝜒̃±1/𝜒̃02
→ smaller production cross-section than typical simplified models
Benchmark models
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A/H funnel region model with mixed 𝜒̃02 branching fractions
Benchmark models
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Radiative 𝜒̃02 → 𝜒̃02 + 𝞬 decay
Heavier electroweakinos in reach
Summary
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Thanks for listening!
See ATLAS-CONF-2023-055 for more details!
Backup
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Stop limits
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BUT simplified assumptions go into these limits too!
→ multiple complex decay chains can dilute signals
, arXiv:1710.11091
Slepton limits
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g-2 hints at low-mass smuon
Strong production
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How light can squarks and gluinos be?
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Squarks and gluinos ~ 1 TeV if g-2 goes away
→ Bagnaschi, Sakurai, Ellis et al, arXiv:1710.11091
SUSY prediction of Higgs mass
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From talk by John Ellis at ATLAS SUSY workshop 2022
Run 1 General pMSSM scan
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Run 1 General pMSSM scan
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Run 1 General pMSSM scan
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EWK pMSSM scan range
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Scan workflow
External constraints
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RECAST
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Analysis environment
→ Preserved in Docker images
Analysis commands
→ How to use the preserved software
Analysis workflow
→ How to connect each analysis step
Automate the re-executution of your analysis on a new signal
DAOD → Event selection → Statistical analysis → CLs
“EWKino” scan
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“Bino-DM” scan
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Analysis simplifications
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2L2J
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2L2J simplified model:
Preference for Z decay mode
Sensitivity to compressed scenarios when X2+- and X40 contribute
4L
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4L targeted GGM and R-parity violating scenarios
Sensitivity to long decay chains involving heavier electroweakinos
EWKino scan unique sensitivity
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Higgs mass
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Search overlaps
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Bino-DM scan
EWKino scan
Constraint overlaps
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Bino-DM scan
EWKino scan
Flavour constraints
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EW precision constraints
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Overall exclusion
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Overall exclusion
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Overall exclusion
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Overall exclusion
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Bino-DM scan unique sensitivity
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Branching fractions
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For a Bino-LSP, searches are favouring the 𝜒̃02 → Z 𝜒̃01 decay mode
→ Partly due to the selection of searches used
→ The Z decay mode is also more versatile
Overall exclusion
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Direct detection complementarity
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Direct detection complementarity
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ATLAS and Lux-Zeplin sensitivity is complementary
Run-1 vs. Run-2 EWK pMSSM scans
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Run 1
Run 2