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1 high-granularity sfcal Performance simulation, option selection and R&D Figure 41. Overview of the time-line and milestones for the implementation of the high-granularity sfcal. tooling and cryostat modification, in particular if radiation protection measures require automated procedures disposal costs of the current FCal In case a MiniFCal needs to be installed, the main cost risks are: for a LAr MiniFCal: the copper market price, the costs for additional radiation protection measures, and the service conduit for LAr/LN 2 /cabling; for a Warm MiniFCal: the sensor costs including their yet to define technology, and the number of readout channels. V.4.6 Schedule and Milestone Summary All LAr Upgrade elements are planned to provide a combined LAr Calorimeter IDR and TDR in 2016 and 2017, respectively. An overview of the subsequent milestones, production and installation periods for the high-granularity sfcal is presented in Fig. 41. The optional MiniFCal schedule is shown in Fig. 42. V.5 High Granuarity Timing Detector (HGTD) The Liquid Argon electromagnetic (e.m.) calorimeter was designed to have rather fine granularity in the first sampling layer over much of its acceptance, motivated by the possibility of measuring the pointing of photons coming from the primary vertex and the capability of rejecting π 0 s with E T up to around 50 GeV or more. Simulation studies made at the time of the original construction concluded that precision physics measurements could not be extended much beyond η = 2.5. For this reason and to reduce the total cost of the readout electronics, it was decided to design the end-cap e.m. calorimeter s inner V: Calorimeters Page 90 of 223

2 LAr MiniFCal / Warm MiniFCal Performance simulation, option selection and R&D Figure 42. Overview of the time-line and milestones for the MiniFCal option that is only chosen under certain conditions (see Section V.4.4). wheel with coarser granularity readout cells and with only two longitudinal segmentations, instead of the three used elsewhere. This yields no significant energy resolution degradation at nominal luminosity. However, the pile-up conditions expected at the HL-LHC will significantly degrade the calorimeter performance in the region η > 2.5. This is caused mainly by the increase of the total noise in individual readout channels. Fig. 43 shows the expected total noise energy (electronic + pile-up) of the individual calorimeter cells at different pseudo-rapidities, for µ 30 and µ 200. Moving from the lower to the higher pile-up scenarios, significant increases are evident, in particular in the first sampling of the inner wheel of the e.m. end-cap and in the forward calorimeters. Figure 43. Calorimeter cell noise (electronic + pile-up) in the different longitudinal layers and at different pseudo-rapidities (η), for µ 30 [left] and µ 200 [right]. Instrumenting this region with high-granularity detectors having an intrinsic time resolution of the V: Calorimeters Page 91 of 223

3 order of a few tens of pico-seconds is being considered as a way to mitigate these pile-up effects (see Section XI.2.7). Precision timing would allow the association of clusters in the calorimeter to a small area of the luminous region around the primary vertex, and a combination of timing and precision position information would enable ATLAS to develop algorithms for local pile-up subtraction on an event-by-event basis in the reconstruction of topological clusters and jet constituents, as shown in Section XI. V.5.1 HGTD in the gap between the LAr barrel and end-cap cryostats The gap between the barrel and end-cap cryostat will be occupied by the ITk services, the ITk end-plate, and a poly-boron shield, as shown in Fig. 44. Barrel Cryostat Endcap Cryostat R=1000 Z = G a p f r o m R / 4 0 ID end plate AB AE C R=600 D z=3475 Δz max =70 C Front view 1:100 C-C 1:100 ID end plate D 1:6 R=90 Figure 44. Cross-section of the ATLAS experiment and transition between the barrel and end-cap cryostats. V: Calorimeters Page 92 of 223

4 The distance between the ID end-plate (z=3458 mm) and the end-cap cryostat walls (z = 3548 mm) is z = 90 mm. A reconfiguration of the region is possible considering that the minimum bias trigger scintillators needs to be replaced for operations at the HL-LHC. Under investigation is the possibility of installing a new detector with high granularity and excellent time resolution, fitting within an envelope of z = mm and extending radially between R = mm, corresponding to 2.4 < η < 4.3. A further extension to η 5, equivalent to a coverage down to R 50 mm, is also considered, but requires additional engineering and performance studies. Also under consideration is an integrated silicon-based detector deployed in both the end-cap and forward regions. The use of a single technology for these two detectors would enable an integrated solution without an additional transition region. V.5.2 Detector technologies under investigation Different technologies are considered for an optimised performance in the region under consideration: Multi-Channel Plate (MCP)-based detectors, single-crystal or poly-crystalline diamonds, and different silicon-based detectors in different technologies. A silicon-based option would benefit from synergistic R&D with the tracker community and with the technology chosen by the CMS collaboration, for their Phase-II e.m. end-cap calorimeter upgrade, and with the developments by the CALICE collaboration for the Si-W based ECAL calorimeter [50]. In the end-cap region 4-5 layers of silicon-detectors could be deployed in the volume described in Section V.5.1. Optionally, the active layers could be interleaved with W-absorbers to configure the detector as a pre-shower device (3-4 X 0 ) allowing for the conversion of photons and π 0 s. In the forward region a MiniFCal could be designed as a fully absorbing e.m. calorimeter with up to 30 X 0 in 180 mm. Detailed simulation studies of both scenarios are needed to prove there is no impact on the performance of the LAr calorimeters sub-systems. The NA62 collaboration [51] has reported a resolution of 260 ps of their GigaTracKer sensors, readout by TDCpix ASICs, exposed on a beam-test. Furthermore, recent developments in Low-Gain Avalanche Detector (LGAD) [52] and High Voltage CMOS (HV-CMOS) sensors (e.g. see Ref. [53]) make these technologies interesting for this application, achieving time resolution of the order of 100 ps on small scale prototypes: the timing resolution is essentially determined by the Signalto-Noise ratio (S/N) for MIP-like signals. In the case of LGADs S/N is boosted by adding a lowamplification layer in the silicon bulk structure, and in the case of HV-CMOS sensors, by dimensioning the pixel/pad to collect significant ionisation charges from an e.m. shower, while keeping the pixel capacitance and the electronics noise as low as achievable. V.5.3 Time-line In the upcoming years, intense simulation studies and R&D is required to optimise the performance of the HGTD and to develop the best sensor technology for this application, including test-beam campaigns. An combined IDR of the LAr calorimeter upgrade is envisaged for 2016 followed by a TDR in After finalising the design, the construction time is estimated to be 2 years, with final assembly and integration at CERN in 2023/2024. Installation is scheduled for the second half of V.5.4 Cost Estimates Table 20 summarises the CORE costs for the construction and installation of a HGTD in the LAr Calorimeter end-cap region. The cost estimates are based on LGAD sensor technology and assume V: Calorimeters Page 93 of 223

5 Table 20. CORE costs for a High-Granularity Timing Detector in the Reference cost scenario. No Timing Detector is being planned for the Middle and Low cost scenarios. WBS ID Upgrade Item Reference [kchf] 3.3 HGTD 4, Sensors and on-detector active electronics 1, Front-end readout 1, Back-end readout Services 200 High Granularity Timing Detector Simulation, design optimisation and R&D Figure 45. Overview of the time-line and milestones for the implementation of the HGTD. that 9 m 2 of active detector area are equipped with a sensor granularity of 5 5 mm 2. V Cost Drivers and Cost Risk Analysis The sensor and front-end readout costs are the main cost items of the HGTD. The cost uncertainties are therefore concerning the optimal sensor technology and the involved costs, which are currently based on LGAD detectors; the number of readout channels in the front-end and back-end in order to match the sensor granularity with the optimal performance. V.5.5 Schedule and Milestones Summary The R&D, production and installation schedule of the HGTD is summarised in Fig. 45, together with reporting and review milestones. The HGTD upgrade will be integral part of the overall LAr Phase-II IDR and TDR, planned for 2016 and 2017, respectively. V: Calorimeters Page 94 of 223

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