Bulletin of the American Physical Society
APS April Meeting 2018
Volume 63, Number 4
Saturday–Tuesday, April 14–17, 2018; Columbus, Ohio
Session S08: Detector R&D and Performance I |
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Sponsoring Units: DPF Chair: Alberto Belloni, University of Maryland, College Park Room: A110 |
Monday, April 16, 2018 1:30PM - 1:42PM |
S08.00001: Building ATLAS' Phase-II all Silicon Inner Tracker for High-Luminosity LHC Prajita Bhattarai In order to improve the chances of discovering new physics, the Large Hadron Collider at CERN will be upgraded to higher luminosities beginning in 2023. The upgrade poses two challenges to ATLAS' current inner tracking detector: heightened detector occupancy and radiation damage. To address these challenges, a new tracking detector must be built. The new inner detector, called the Inner Tracker, will be made of silicon pixels and micro-strips detectors. At Brookhaven National Lab, the Stave Assembly group has been building the initial prototypes of the Inner Tracker's barrel detector base unit staves and testing their thermomechanical properties. This talk focuses on assembly setup and process used to build each stave. Half of the barrel staves of the ATLAS' Inner Tracker will be built at Brookhaven using this process. [Preview Abstract] |
Monday, April 16, 2018 1:42PM - 1:54PM |
S08.00002: US ATLAS ITk Stave Assembly: Building and Testing the first Prototypes Laura Bergsten The ATLAS detector is an advanced particle detector which operates on the Large Hadron Collider (LHC), which collides protons at 14 TeV in energy to discover new fundamental particles and measure their properties. In 2025 the LHC will near double the rate of collisions and become the High-Luminosity LHC (HL-LHC). Because of this, the ATLAS Inner Detector will be replaced entirely with the Inner Tracker (ITk) to cope with the increased pile-up, track density, and radiation dose. In the barrel regions, the ITk consists of a 4-layer Strip detector surrounding a 5-layer Pixel detector. The Strip detector layers consist of 392 staves, half of which will be built at Brookhaven National Laboratory (BNL). These staves are composed of carbon composite mechanical support and cooling structures that each will be mounted with 28 silicon modules. In my talk I will describe the current status of stave assembly at BNL including the most recent results on module positioning, gluing, and surveying the first thermomechanical and electrical prototypes. I will summarize the latest results from surveying our completed stave. [Preview Abstract] |
Monday, April 16, 2018 1:54PM - 2:06PM |
S08.00003: Design and performance of the Trigger Data Serializer ASIC for the Phase-I upgrade of the ATLAS forward muon spectrometer Xiong Xiao The present small wheel muon detector at ATLAS will be replaced with a New Small Wheel (NSW) detector to handle the increase in data rates and harsh radiation environment expected at the LHC. Resistive Micromegas and small-strip Thin Gap Chambers (sTGC) will be used to provide both trigger and tracking primitives in $pp$ collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detector. Signals from the sTGC pad and strip detectors will be read out by the Amplifier Shaper Discriminator (ASD) ASIC, and then collected by the Trigger Data Serializer (TDS) ASIC before being transmitted via twinax cables to other circuits located on the rim of the NSW detector. In order to reduce the output data rate, the TDS ASIC also performs pad-strip matching and only strips underneath certain pads will be read out. The large number of input channels (128 differential input channels), short time available to prepare and transmit trigger data (<100 ns), high speed output data rate (4.8 Gbps), harsh radiation environment (about 300 kRad), and low power consumption (<1 W) all impose great challenges for the design of this ASIC using the IBM 130 nm CMOS process. We present the design and performance of the TDS ASIC. [Preview Abstract] |
Monday, April 16, 2018 2:06PM - 2:18PM |
S08.00004: Design of a time-to-digital converter (TDC) ASIC for the Phase-II upgrade of the ATLAS muon spectrometer Yu Liang To cope with a large amount of data and high event rate expected from the planned High-Luminosity LHC (HL-LHC) upgrade in $pp$ collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detector, the ATLAS monitored drift tube (MDT) readout electronics will be replaced. In addition, the MDT detector will be used at the first-level trigger to improve the muon transverse momentum resolution and reduce the overall trigger rate. A new trigger and readout system has been proposed. A new time-to-digital converter (TDC) ASIC is needed at the frontend board to digitize the discriminated muon drift time signal. We also designed a demonstrator TDC prototype and studied its timing, latency and power consumption. In this talk, we will present the design and simulation results of a TDC with all needed features included. In addition, we will present the performance of the demonstrator TDC ASIC that we built. [Preview Abstract] |
Monday, April 16, 2018 2:18PM - 2:30PM |
S08.00005: Precision timing with Silicon Photomultipliers Irene Dutta The LHC will upgrade its instantaneous luminosity by the year 2025 and produce about 140-200 pileup interactions per bunch crossing within a few centimetres of the beam axis, an increase of a factor of 5 compared to current running conditions. The increased number of tracks and deposits in the calorimeters of the present CMS detector would substantially reduce the efficiency of particle flow reconstruction algorithms, considerably diluting prospects of finding new physics despite the increased luminosity. To mitigate this problem, a new timing layer detector has been proposed with a precision of ~30 ps, which can reduce vertex merging in space from 15 $\%$ to 1$\%$ in space-time $\footnote{CMS-TDR-17-006}$.This detector not only reduces the effective vertex multiplicity and improves the identification of isolated objects, but also opens up unexplored parameter space for searches for new physics.\\ After an introduction on the motivation and projected performance benefits of this detector, I will focus on the design of the barrel compartment, consisting of LYSO:Ce crystal tiles coupled to SiPMs (silicon photomultiplier). I will talk about the current precision timing R$\&$D with these tiles at various testbeams held at CERN and FNAL. [Preview Abstract] |
Monday, April 16, 2018 2:30PM - 2:42PM |
S08.00006: Clustering Algorithm Performance Studies for the ATLAS Trigger System at the HL-LHC Taylor Contreras, Stephanie Majewski, Christopher Dudley The Large Hadron Collider (LHC) at CERN is a particle accelerator providing massive amounts of data which can reveal new physics about fundamental particles and forces. An upgrade to the LHC that will increase the luminosity will be enacted in 2026, called the High-Luminosity LHC (HL-LHC) to run with $pp$ collisions at $\sqrt{s}=$ 14 TeV with the ATLAS detector. The higher luminosity will increase the rate of proton-proton interactions in detectors like ATLAS, thus these detectors must increase the speed of sorting through data. This sorting is performed by the ATLAS Trigger System, which decides whether an interaction is interesting enough to keep within about ten microseconds. Our group is studying the efficiency of different algorithms that cluster energy for implementation on a Field Programable Gate Array (FPGA) in the Global Trigger. These algorithms cluster energetic cells in multiple layers of the detector to reconstruct particle showers. We have implemented the algorithms used on the FPGA in python in order to validate the performance of the FPGA, analyze the background rejection and trigger efficiency of the clustering algorithms, and compare these quantities between different algorithms. [Preview Abstract] |
Monday, April 16, 2018 2:42PM - 2:54PM |
S08.00007: Vertexing Algorithms with the ATLAS Detector for the HL-LHC Upgrade Ian Lim, Ben Nachman, Maurice Garcia-Sciveres We evaluate and report on the performance of the standard vertexing algorithms used in the LHC Run 1 analyses for the ATLAS Experiment. In particular, we study the suitability of the Run 1 event categories in the high pile-up regime ($\langle\mu\rangle\sim 200$) and compare the current algorithms in terms of key metrics such as position resolution and track-vertex association. In this talk, we will discuss major features of the approaches to vertex reconstruction and their implications for vertexing in the HL-LHC upgrade, which will begin operation in mid-2026. [Preview Abstract] |
Monday, April 16, 2018 2:54PM - 3:06PM |
S08.00008: Track Finding at the Level-1 Trigger at CMS in the HL-LHC. Anthony Lefeld During the second long shutdown of the Large Hadron Collider (LHC), the Compact Muon Solenoid (CMS) detector will require an upgrade to its trigger hardware as the LHC enters the era of the High Luminosity Large Hadron Collider (HL-LHC). With the significant increase of instantaneous luminosity, charged particle tracking will be necessary at CMS at the level of the hardware trigger to limit the rate going into the software trigger. The tracklet and Hough-transform algorithms are two approaches designed to meet the goals of the hardware trigger. Both algorithms achieve high performance with operating times within a target of 4 microseconds. An overview of these two approaches is given including an explanation of the algorithms, implementation on FPGAs, and results from system performance studies. [Preview Abstract] |
Monday, April 16, 2018 3:06PM - 3:18PM |
S08.00009: Track-Based Alignment of the CMS Muon System Adrian Raphael Thompson The muon detection system of the CMS experiment provides fast trigger decisions and muon track measurements to identify muons produced in proton-proton collisions. An accurately aligned muon system is necessary for the reconstruction of events with muons of high transverse momenta, relevant to both precision measurements of the standard model processes and searches for new physics. The relative positions and orientations of the muon detectors with respect to the inner silicon tracker may be precisely measured using reconstructed tracks propagating from the interaction point. This track-based alignment procedure is capable of providing a geometry with individual muon detectors aligned to within 100 microns along sensitive modes. In this report, we present the alignment algorithm and a validation procedure which quantifies the reconstruction performance for such a geometry. We demonstrate improved muon reconstruction using the track-based alignment procedure performed with early 2017 data. [Preview Abstract] |
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