Some preliminary studies on MoEDAL reach in comparison with CMS projections showed that MoEDAL can be complementary to ATLAS/CMS despite the lower luminosity available at IP8 [73].Footnote 5 That study was using a simplistic description of the MoEDAL NTDs and the CMS efficiencies for HSPCs published in Ref. [75], extracted to re-interpret a previous HSCP search performed by CMS [76] in specific supersymmetric models at energies of 7 and 8 TeV.
As discussed earlier, we concentrate our efforts on heavy long-lived sparticles with a large production cross section that in addition respect present bounds. Therefore, we do not only study the MoEDAL sensitivity, but we also compare it with the latest HSCP search conducted by ATLAS [52]. As can be seen in Fig. 3, the fraction of events with \(\beta \lesssim 0.2\), i.e. within the NTD sensitivity, is only \(\sim 1\%\) even for gluinos. Because of this and due to the lower luminosity delivered to MoEDAL, ATLAS and CMS in general provide much better sensitivities for HSCPs. We therefore focus on a particular scenario where ATLAS and CMS may loose their sensitivity while MoEDAL retains it.
Model description
In the ATLAS and CMS HSCP searches, multiple hits in the (innermost) pixel detector are required to ensure good track reconstruction of charged particles. However, the presence of a neutral long-lived sparticle in the cascade decay may dissatisfy this selection criterion, thus limiting the acceptance of such model. This is expected to become evident in particular in regions of the parameter space with large lifetime of this intermediate particle.
This observation leads us to consider a gluino pair production (\(pp \rightarrow \tilde{g} \tilde{g}\)) followed by the prompt decay of gluino into a long-lived neutralino plus two quark jets; \(\tilde{g} \rightarrow \tilde{\chi }_1^0 q \bar{q}\). We assume that the long-lived neutralino may decay, after travelling \(\sim 1\) m, into an off-shell tau-lepton plus a metastable stau, \(\tilde{\chi }_1^0 \rightarrow \tilde{\tau }_1 \tau ^*\), due to a very small mass splitting: \(\delta m = m_{\tilde{\chi }_1^0} - m_{\tilde{\tau }_1} \lesssim m_\tau \).
$$\begin{aligned} p p \rightarrow \tilde{g} \tilde{g}&\rightarrow \left( \tilde{\chi }_1^0 jj\right) \left( \tilde{\chi }_1^0 jj\right) \nonumber \\&\rightarrow \left( \tilde{\tau } _{\text {1,dv}} \tau ^*_{\text {dv}} jj\right) \left( \tilde{\tau } _{\text {1,dv}} \tau ^*_{\text {dv}} jj\right) . \end{aligned}$$
(1)
The subscript “\(\text {dv}\)” indicates that the particles originate from a displaced vertex. The \(\tilde{\chi }_1^0\) lifetime depends on its mass difference with the \(\tilde{\tau }_1\), as \(\propto (\delta m)^6\) in 3-body decays [40, 77]. So, the lifetime can be tuned from \(\sim 10^{-9}\) s for \(\delta m\sim 1.7~\text{ GeV } \) to \(\sim 10^6\) s for \(\delta m\sim 500~\text{ MeV } \), which would imply decay lengths from 10 cm to 100 m.
Finally, the metastable staus may decay, after passing through the detector, into \(\tau \)’s and other SM particles via very small RPV couplings, when present with a \(\tilde{\tau } \) LSP, or into a \(\tau \) and \(\tilde{G}\) LSP, via gravitational interaction if they are the NLSPs. All other supersymmetric particles are decoupled and they do not play a role in the following analysis.
ATLAS analysis recasting and other constraints
The latest HSCP search by CMS [53] uses only \(2.5~\text{ fb }^{-1} \) of pp collision data at 13 TeV. Since the analysis design and selection cuts are very similar to those of ATLAS, we only focus on Ref. [52] by ATLAS, which has analysed more data: \(36.1~\text{ fb }^{-1} \) from LHC Run 2. However, the CMS results should also be relevant for the same dataset size.
In the cascade decay (1), with a long \(\tilde{\chi }_1^0\) lifetime (\(c \tau _{\tilde{\chi }_1^0} \sim 1\) m), multiple pixel hits cannot be expected because what is travelling in the pixel detector is the invisible neutralino. The ATLAS analysis, in particular, requires seven pixel hits. The probability (per particle) of having all pixel hits for our simplified model is proportional to the probability of the \(\tilde{\chi }_1^0\) decaying before reaching the pixel detector, that is
$$\begin{aligned} P_{\text {pixel}} = 1 - \exp \left( -\frac{L_{\text {pixel}}}{ \beta \gamma c \tau _{\tilde{\chi }_1^0} \sin \theta } \right) , \end{aligned}$$
(2)
where \(\gamma \equiv \frac{1}{\sqrt{1 - \beta ^2}}\) with \(\beta \) being the \(\tilde{\chi }_1^0\) velocity, \(\theta \) (\(\theta \in [0, \pi /2]\)) is the angle between the \(\tilde{\chi }_1^0\) momentum and the beam axis, \(L_{\text {pixel}}/\sin \theta \) is the distance between the interaction point to the pixel detector and \(L_{\text {pixel}} = 50.5\) mm is the minimum distance between the interaction point and the first layer of the pixel detector (at \(\theta = \pi /2\)). We see that \(P_{\text {pixel}} \ll 1\) for \(c \tau _{\tilde{\chi }_1^0} \gg L_{\text {pixel}}\).
In recasting the latest ATLAS HSCP search, we closely follow the recipe provided in the HEPData record [78] of Ref. [52], where various information, such as the trigger efficiency and the efficiency maps for signal reconstruction, are also given. We estimated the current limit in terms of \(m_{\tilde{g}}\) and \(c \tau _{\tilde{\chi }_1^0}\) by multiplying \(P_{\text {pixel}}\) with the signal efficiency obtained by the official recasting procedure.
Other analyses that may potentially constrain the model under study are the ones targeting displaced jets (also sensitive to hadronic \(\tau \)’s) [11, 12, 79] or displaced leptons (from leptonic \(\tau \) decays) [80, 81]. Due to the current unavailability of recasting instructions and related tools for these analyses—which is due to the unconventional detector utilisation—we do not consider them here.
MoEDAL detector geometry and response
We estimate the MoEDAL detection sensitivity of this gluino cascade scenario as accurately as possible without using the detailed full Geant4 simulation for the detector response. In this study at a first stage, we consider the Run-2 (2015–2018) NTD deployment shown in Fig. 4. The geometrical acceptance, i.e. the fraction of the solid angle covered by the NTD panels, of this configuration is \(\sim 20\)%. In order for the staus in the cascade chain to be detected by MoEDAL, the neutralino must decay and produce a stau before reaching a NTD panel, and the produced stau must hit the NTD panel. Since the mass splitting between \(\tilde{\chi }_1^0\) and \(\tilde{\tau }_1\) is assumed to be much less than \(m_{\tau } = 1.777~\text{ GeV } \), the \(\tilde{\tau }_1\) and \(\tilde{\chi }_1^0\) are travelling almost in the same direction. For a given neutralino momentum, \(\mathbf{p}_{\tilde{\chi }_1^0}\), the probability for the stau to hit a NTD panel is given by
$$\begin{aligned} P_\mathrm{NTD}(\mathbf{p}_{\tilde{\chi }_1^0}) = \omega (\mathbf{p}_{\tilde{\chi }_1^0}) \left[ 1 - \exp \left( \frac{L_\mathrm{NTD}(\mathbf{p}_{\tilde{\chi }_1^0})}{\beta \gamma c \tau _{\tilde{\chi }_1^0}} \right) \right] , \end{aligned}$$
(3)
where \(\omega (\mathbf{p}_{\tilde{\chi }_1^0}) = 1\) if there is a NTD panel in the direction of \(\mathbf{p}_{\tilde{\chi }_1^0}\) and 0 otherwise and \(L_\mathrm{NTD}(\mathbf{p}_{\tilde{\chi }_1^0})\) is the distance to the NTD panel in the direction of \(\mathbf{p}_{\tilde{\chi }_1^0}\). On average \(L_\mathrm{NTD} \sim 2\) m.
When the stau hits the NTD panel, its detectability depends on the incidence angle between the stau and the NTD panel as well as the stau’s velocity. This is because if the incidence is shallow and the velocity is large, the etch-pit is tilted and small [82, 83]. Such an etch-pit will not survive when the surface of NTD panel is chemically etched and removed. For any given \(\beta \), the stau is detected only when its incidence angle to the NTD panel, \(\delta \) (\(\delta \in [0^{\circ }, 90^{\circ }]\)), is smaller than the maximum value allowed for detection, \(\delta _\mathrm{max}\). This value depends on the NTD material and the charge z of the incident particle. In our case, i.e. CR-39 NTDs and \(z=1\), \(\delta _\mathrm{max}(\beta \simeq 0.15) \simeq 0^{\circ }\), which means that staus travelling faster than \(\beta \simeq 0.15\) will not be detected.
In Fig. 5 we show the distribution of the incidence angle \(\delta \) corresponding to the Run-2 geometry. The distribution is obtained through Monte Carlo event generation assuming \(m_{\tilde{g}} = 1.2~\text{ TeV } \), \(m_{\tilde{g}} - m_{\tilde{\chi }_1^0} = 30~\text{ GeV } \) and \(m_{\tilde{\chi }_1^0} - m_{\tilde{\tau }_1} = 1~\text{ GeV } \). As can be seen, the stau has an incidence angle smaller than \(25^\circ \) about a half of the time, which requires \(\beta \lesssim (0.08 \div 0.15)\) to be detected by the NTD.
For particles of low z, the maximum tilt allowed for the detection of NTD etch-pits is rather low [83], providing strong motivation for an NTD configuration with the minimum possible incidence angle. Therefore, if the NTD panels are installed in the cavern in such a way so that they “face” the interaction point, the MoEDAL reach is expected to be improved with respect to the Run-2 geometry. Such a consideration would also have a positive impact on searches for doubly charged Higgs bosons [84] or fermions. Of course, the implementation of this idea relies upon the mechanical implications it will have in the cavern.
In order to have an estimate for this improved NTD geometry, we also consider in this study an “ideal” spherical detector where the incidence angle is \(\delta =0\) for every particle coming straight from the interaction point. The realistic detector response for Run-3 is expected to be somewhere between the two extreme cases.
Analysis and results
We estimate the expected number of signal events by
$$\begin{aligned} N_{\text {sig}} = \sigma _{\tilde{g}} \cdot \mathcal{L} \cdot \epsilon , \end{aligned}$$
(4)
where \(\sigma _{\tilde{g}} \equiv \sigma (pp \rightarrow \tilde{g} \tilde{g})\) is the gluino production cross-section, \(\mathcal {L}\) is the integrated luminosity and \(\epsilon \) is the efficiency. From the above consideration, the efficiency can be estimated by the Monte Carlo (MC) simulation as
$$\begin{aligned} \epsilon = \left\langle \sum _{i=1,2} P_\mathrm{NTD}(\mathbf{p}_i) \cdot \Theta \left( \delta _\mathrm{max}(\beta _i) - \delta _i \right) \right\rangle _\mathrm{MC}, \end{aligned}$$
(5)
where \(\mathbf{p}_i\), \(\beta _i\) and \(\delta _i\) are the momentum, velocity and incidence angle of i-th neutralino and stau, \(\Theta (x)\) is the step function (\(\Theta (x) = 1\) for \(x > 0\) and 0 otherwise) and \(\left\langle \cdots \right\rangle _\mathrm{MC}\) represents the Monte Carlo average. Due to the extremely low background of the analysis, the observation of even one sole event (\(N_\mathrm{sig} = 1\)) would be significant enough to raise interest, while two events (\(N_\mathrm{sig} = 2\)) may possibly mean a discovery. Both cases are considered in the analysis.
In Fig. 6, we show the region of \(N_\mathrm{sig} = 1\) (solid lines) and \(N_\mathrm{sig} = 2\) (dashed lines) in the \(m_{\tilde{g}}\) vs. \(c \tau _{\tilde{\chi }_1^0}\) plane. We show both geometry scenarios: the (conservative) actual geometry for Run-2 and the ideal spherical one. We assume \(\mathcal{L} = 30~\text{ fb }^{-1} \), which may be achievable for MoEDAL at the final stage of Run-3, planned to last from 2021 to 2024.
On the same plot, we superimpose the current limit (dotted yellow) obtained by recasting the ATLAS HSCP analysis [52] to the simplified model under study. We also show (dotted orange) the projection of this limit to the Run-3 luminosity, \(\mathcal{L} = 300~\text{ fb }^{-1} \), obtained by simply assuming that the signal and background scale in the same way. We stress here that we do not consider any possible future improvements in the ATLAS (or CMS) analysis, which may enhance its sensitivity either for the di-stau direct production or for more complex topologies, such as the one discussed here. For example, if the pixel hit requirements were significantly relaxed then the ATLAS search would be more powerful than the MoEDAL one across the full parameter space.
As evident, MoEDAL can explore the region of parameter space (\(m_{\tilde{g}} \lesssim 1.3~\text{ TeV } \), \(c \tau _{\tilde{\chi }_1^0} \gtrsim 500\) cm), which is currently not excluded. The expected MoEDAL reach is comparable to that of ATLAS HSCP search if the current NTD geometry is used, while the MoEDAL sensitivity may surpass ATLAS’s if a nearly spherical geometry is considered.
The MoEDAL reach clearly shows a different trend than ATLAS (and CMS): MoEDAL may cover larger \(\tilde{\chi }_1^0\) lifetimes, while it is weaker on the \(\tilde{g}\) mass mostly due the large luminosity needed to overcome the heavier, hence less abundant, gluinos. It is worth stressing here the importance of accessing the same models by both ATLAS and MoEDAL, two experiments with completely different design philosophies, which in case of a positive signal, will help confirm the observation and permit to extract distinct sets of information on the phenomenology.
Finally, we comment on the possible constraint from the prompt gluino search in the jets-plus-missing-transverse-momentum channel. Recently ATLAS and CMS placed stringent lower limits of \(1100~\text{ GeV } \) (ATLAS [64]) and \(1300~\text{ GeV } \) (CMS [62]) on the mass of gluino that decays to a stable neutralino (\(\tilde{g} \rightarrow q \bar{q} \tilde{\chi }_1^0 \)) with a compressed mass spectrum \(m_{\tilde{g}} - m_{\tilde{\chi }_1^0} \lesssim 50~\text{ GeV } \). Unlike this case, in our simplified model, the \(\tilde{\chi }_1^0\) is long-lived and decays into a collider-stable \(\tilde{\tau }\), so this limit cannot be applied directly as it is, since the presence of displaced and metastable staus would affect the trigger efficiency and the estimation of the missing transverse momentum. Although estimating these effects is very complicated and beyond the scope of this paper, it is important to bear in mind that the region with \(m_{\tilde{g}} \lesssim 1200~\text{ GeV } \) may be subject to this constraint and already excluded by the prompt-gluino search [62, 64].