---
title: Dark-Shower Signatures in Hidden Sectors
url: https://www.emergentmind.com/topics/dark-shower-signatures
type: topic
---

# Dark-Shower Signatures in Hidden Sectors

Dark-shower signatures refer to distinctive collider and fixed-target experimental signals arising from parton-shower dynamics in a strongly-coupled, confining hidden sector (dark sector), frequently motivated by Hidden Valley models or non-minimal dark-matter scenarios. These phenomena generalize standard QCD-like jet production to hidden-sector dynamics in which dark quarks and gluons, communicating with the Standard Model (SM) through one or more mediators (portals), shower into a spectrum of dark hadrons. This hadronization yields final states with a rich variety of visible and invisible signatures, depending on the dark-sector spectrum and its decay pathways back to SM particles. Dark-shower signatures encompass a range of collider objects including semi-visible jets, emerging jets, SUEP (“soft unclustered energy pattern”) events, collimated lepton jets, and multiple displaced vertices, each requiring dedicated theoretical modeling and experimental analysis frameworks.

## 1. Theoretical Foundations: Hidden Sectors, Portals, and Dark Parton Showers

The archetype for dark-shower phenomenology is the addition of a confining gauge group, such as SU(N_d), to the SM, with its own set of “dark quarks” $\chi_a$ (or $q_D$) transforming non-trivially under this new gauge symmetry [1707.05326, 2203.09503, 1510.06927]. Above the dark confinement scale $\Lambda_d$, the gauge coupling $\alpha_d$ is perturbative; below $\Lambda_d$, $\alpha_d$ becomes large, forcing the dark quarks to form a tower of dark mesons ($\pi_d,\,\rho_d$) and baryons. In realistic models, interactions between the dark sector and the SM are suppressed, characterized by so-called portals:

- **Vector portals** (e.g., kinetic mixing of a U(1)$_D$ “dark photon” $A'$ with hypercharge, or $Z'$ mediators): 
  \[
  \mathcal{L}_{\text{portal}} = -\frac{\epsilon}{2}\,F'_{\mu\nu}B^{\mu\nu} + g_q Z'_\mu \bar q \gamma^\mu q + g_\chi Z'_\mu \bar\chi \gamma^\mu \chi
  \]
- **Scalar portals** (mixing with the Higgs boson)
- **Higher-dimensional effective operators** (e.g., contact terms)
- **Axial-vector or topological portals**

When a hard process (e.g., at the LHC or a B-factory) produces a dark quark with $p_T \gg \Lambda_d$, it radiates dark gluons—analogous to a QCD parton shower—and fragments into multiple dark hadrons. Depending on the interplay of portal couplings and mass spectrum, these dark hadrons may be prompt, displaced, long-lived, or invisible on detector timescales [1707.05326, 2203.08824, 2510.23696, 2401.08785].

## 2. Event Topologies and Experimental Signatures

The distinctive signature of a dark shower is determined by the mixture and lifetime of the dark hadron species:

1. **Prompt Decays (QCD-like Final States):**  
   All dark hadrons decay promptly via the portal to SM quarks/leptons, creating jets closely resembling QCD jets both in energy flow and hadronic content [2209.14964, 2004.00631].

2. **Semi-Visible Jets:**  
   A fraction $r_{\rm inv}$ of dark hadrons are invisible (i.e., collider-stable, such as stable dark pions) while the rest decay promptly to SM particles. The resulting jets are hybrid objects containing both visible SM hadrons and invisible dark-matter particles, often yielding missing transverse energy ($E_T^{\rm miss}$) aligned with the jet axis rather than anti-aligned as in conventional mono-jet signatures. This topology gives rise to suppressed charged-particle multiplicity and broader jet-energy profiles compared to QCD jets [1707.05326, 2203.09503, 2006.08639].

3. **Emerging Jets:**  
   If some dark hadrons are long-lived on detector scales (displaced, but not completely invisible), they decay inside the detector to SM hadrons/electrons—producing jets with a spatially non-uniform charged-track distribution (emerging from secondary vertices) [2203.09503]. 

4. **Fully Invisible Showers:**  
   All dark hadrons are collider-stable, yielding only large $E_T^{\rm miss}$ recoiling against initial-state radiation (ISR). 

5. **Soft Unclustered Energy Patterns (SUEP):**  
   When the dark sector is almost conformal or the hadronization temperature is low, one may observe a sphere of low-$p_T$, high-multiplicity hadrons, characterized by isotropic energy flow [2203.09503].

6. **Multi-Vertex Topologies in Beam-Dump and Intensity-Frontier Experiments:**  
   Multiple displaced vertices within a single event—arising from the decay of several non-prompt dark vector mesons ($\rho_D^0$)—enable unambiguous discrimination against single LLP or minimal dark-photon scenarios [2510.23696, 2203.08824].

## 3. Quantitative Parametrization and Theoretical Tools

Central to collider modeling is the “semi-visible jet” paradigm [1707.05326], with a simplified-parameter space:
- $\Lambda$: Contact/intermediate scale
- $\Lambda_d$: Dark confinement scale (typically $\sim10$–$100$ GeV)
- $\alpha_d$: Dark gauge coupling at the hard scale
- $M_d$, $m_\chi$: Dark hadron and quark masses
- $r_{\rm inv}$: Invisible fraction of dark hadrons,
  \[
  r_{\rm inv} = \frac{\langle \# \text{ stable hadrons } \rangle}{\langle \# \text{ total hadrons } \rangle}
  \]
These inputs—along with detailed decay widths, lifetimes, and mixing angles for portal particles—enable simulation using the HiddenValley module in Pythia 8 [2203.09503, 2209.14964, 2510.23696]. Benchmarking studies scan $r_{\rm inv}$ in $[0,1]$ to interpolate between QCD-like jets and mono-jet signatures.

The hadronization procedure is typically modeled by the Lund string fragmentation, with fragmentation and mass parameters either taken from QCD or scaled by $(\Lambda_d/\Lambda_{\mathrm{QCD}})^\text{power}$ [2209.14964, 2203.08824].

## 4. Discriminating Observables and Jet-Substructure Methods

Analyses seeking to distinguish dark showers from QCD backgrounds and other SM processes require robust, IRC-safe jet substructure observables:
- **Energy-Correlation Functions (ECFs):**
  \[
  e_n^{(\beta)} = \sum_{i_1<\ldots<i_n} \left(z_{i_1}\cdots z_{i_n}\right) \prod_{a<b} \theta_{i_a i_b}^{\beta}
  \]
- **Energy-Flow Polynomials (EFPs):**
  \[
  \mathrm{EFP}_G = \sum_{i_1 \ldots i_N} z_{i_1}\cdots z_{i_N} \prod_{(k,\ell)\in \mathrm{Edges}(G)} \theta_{i_k i_\ell}
  \]
- **N-subjettiness, Les Houches Angularity, Girth, $p_T^D$, Quark-Gluon Discriminants, etc.**
- **Machine Learning Classifiers:**  
  Dedicated neural-network taggers, especially dynamic graph convolutional networks (DGCNNs) working on “particle cloud” input, have demonstrated superior performance in recognizing semi-visible jets relative to both jet images (CNNs) and Lorentz-layer networks. In [2006.08639], a DGCNN achieved a background rejection $1/\epsilon_B=608\pm38$ at $\epsilon_S=0.3$, compared to $137\pm5$ (CNN) and $220\pm14$ (LoLa).

Statistical discrimination exploits combined multi-observable likelihood ratios (LLRs) and receiver-operating characteristic curves to optimize separation, e.g., combining EFPs with $C_2$ or $\tau_{21}$ can yield a factor $\sim2$–$5$ improvement at $\epsilon_S\sim50\%$ [2209.14964].

Systematic uncertainties in modeling (especially hadronization and dark fragmentation) are significant; for the canonical two-point energy correlator $e_2^{(\beta)}$, the uncertainty envelope from parton-shower, hadronization, and parametric choices is explicitly quantified in [2004.00631].

## 5. Experimental Search Strategies and Sensitivity Projections

Analyses targeting dark showers employ several key selection and search strategies:
- **Inclusive jets + $E_T^{\rm miss}$:**  
  Preselection with $E_T^{\rm miss}>200$ GeV, jets with $p_T>250$ GeV, and often a lepton veto. Partition events by $\min \Delta\phi(\text{jet}_i,\,E_T^{\rm miss})<0.4$ (semi-visible “signal” region) versus $>0.4$ (QCD background suppression) [1707.05326].
- **Dijet and Transverse-Mass Resonance Searches:**  
  Dijet bump-hunts target low-$r_{\rm inv}$, while $M_T$ bump-hunts using “fat” jets probe intermediate $r_{\rm inv}$.
- **Displaced-vertex analyses:**  
  Particularly in beam-dump and $e^+e^-$ experiments (SHiP, Belle II), searches for multi-vertex events with invariant-mass and spatial/temporal correlation constraints exploit the multiplicity and boosted nature of dark vector mesons [2510.23696, 2203.08824].
- **Tagger-enhanced analyses:**  
  Embedding DGCNN-based semi-visible jet taggers into event selection can improve cross-section sensitivity by more than an order of magnitude and probe mediator–quark couplings an order below that accessible by standard searches [2006.08639].
- **Emerging/SUEP analysis:**  
  Emerging jets are selected via displaced tracks/multivertex tagging, while SUEP events are identified by high-multiplicity, nearly isotropic track patterns [2203.09503].
- **Background prediction:**  
  Monte Carlo for $Z$/W+jets, $t\bar t$, QCD (MadGraph, Pythia, Delphes), and data-driven control regions (e.g., photon+jets with veto) are essential for robust systematic estimation [1707.05326, 2203.09503].

The table below summarizes typical collider search topologies and region-of-interest variables:

| Topology           | Key Observables                                   | Search/Selection                              |
|--------------------|--------------------------------------------------|-----------------------------------------------|
| Semi-visible jets  | $r_{\rm inv}$, $E_T^{\rm miss}$, $\Delta\phi$    | Jet+$E_T^{\rm miss}$, substructure cuts       |
| Emerging jets      | Track multiplicity vs. radius, displaced tracks   | Vertexing, prompt/displaced fractions         |
| SUEP               | High multiplicity, isotropy, low $p_T$            | Multiplicity, ring isotropy, lack of ISR jet  |
| Multi-vertex (BD)  | Number of vertices, vertex mass/timing            | Event-level $n$-vertex topology               |

In LHC projections, for $M_d=10$ GeV and $r_{\rm inv}\sim0.5$, the contact-operator scale $\Lambda$ can be excluded up to $\sim2.5$ TeV with $13$ TeV, $37$ fb$^{-1}$ data; s-channel $Z'$ searches extend up to $M_{Z'}\sim3$ TeV (for $g_q=0.1,g_\chi=1$) [1707.05326]. At Belle II and SHiP, displaced-vertex sensitivity extends to $\epsilon\sim10^{-6}$–$10^{-4.5}$ for $m_{\rho_D}\sim0.2$–$5$ GeV with coverage of multi-vertex events and dark matter parameter space [2510.23696].

## 6. Systematic Uncertainties, Modeling Limitations, and Future Prospects

All collider and fixed-target analyses are strongly sensitive to uncertainties in dark-sector hadronization and fragmentation. Theoretical systematics arise from:
- Ab initio modeling in Pythia 8’s HiddenValley module, including parameters of the Lund string model, assumed degeneracy or mass spectrum of dark hadrons, and portal structure [2203.09503, 2209.14964, 2004.00631].
- Absence, until recently, of alternate frameworks (cluster models as in Herwig) for cross-validation [2209.14964].
- Unknowns in the mapping between simplified-model parameters and the true spectrum of stable/unstable states, especially where large portal coupling or additional mediator physics is involved [1510.06927, 1807.00530].

Benchmarks recommend varying hadronization parameters over wide ranges, quantifying one-sigma “envelope” uncertainties on all observables [2004.00631]. Experimental implementation should fold these systematics directly into signal efficiency and discovery significance calculations.

Future directions proposed include:
- Data-driven control regions for backgrounds in novel search regions (e.g., low $\Delta\phi$ in MET-based searches, photon-veto sidebands) [1707.05326].
- Further refinement of jet substructure or particle-level machine-learning taggers, including DGCNN architectures [2006.08639].
- Development of multi-object or multi-vertex triggers at intensity-frontier experiments [2510.23696, 2203.08824].
- Exploiting jet-quark chirality sensitivity of shower profiles (e.g. distinguishing chiral from vector dark-matter models with the cumulative energy profile $\Psi(r)$) [1807.00530].
- Dedicated displaced-object detectors (e.g. MATHUSLA, FASER) for high-multiplicity, long-lived scenarios [2401.08785].

## 7. Relation to Dark Matter and Cosmology

A considerable fraction of dark-shower scenarios is constrained or motivated by dark matter relic density and astrophysical observations:
- Stable dark pions ($\pi_D$) or baryons may constitute the cosmological dark matter, with direct detection suppressed by higher-dimensional form-factor effects (e.g., nuclear charge radius), often yielding direct-detection cross-sections well below the neutrino floor, $\sim10^{-52}$ cm$^2$ [1707.05326].
- The $3\to2$ or $3\to\rho_D\to$SM annihilation mechanisms for dark pions can be probed across cosmologically interesting mass/coupling ranges, especially in the sub-GeV window at intensity-frontier experiments [2510.23696].
- Complementarity of collider and non-collider probes is highlighted: the LHC, Belle II, LHCb, and SHiP together provide coverage of decay lifetimes from sub-millimeter scale (EWPT, LHCb) to multi-meter scales (Belle II, SHiP) [2203.08824, 2203.09503].

In conclusion, dark-shower signatures constitute a rich and organized framework for exploring non-minimal dark sectors at the LHC, fixed-target, and intensity-frontier experiments. The interplay of parton-level production, showering/hadronization, and portal-induced decays—mapped quantitatively into observable collider objects and supported by machine-learning and substructure techniques—provides robust channels for discovering, disentangling, and characterizing hidden strong dynamics and its possible connection to dark matter.

Source: https://www.emergentmind.com/topics/dark-shower-signatures