The Story of Here: A Graphic Guide to Holy Cross and College Hill

This illustrated guide captures the history of the section of Worcester where the College of the Holy Cross is located. Historical sources and imaginative interpretations based on historical research are combined to create a unique then and now approach and experience of double vision to tell the story of College Hill. This guide was a project of Montserrat Seminar 111N, taught by Prof. Sarah Luria in Spring 2020.https://crossworks.holycross.edu/hc_books/1051/thumbnail.jp

Stormwater Analysis and Water Quality Assessment of Urban Areas

4400011482, PIT WO 14Salt is widely used for road deicing purpose in winter, and salt application could raise stream chloride level and leads to deterioration of water quality. This study represents the first steps toward developing a comprehensive understanding of how the streams chloride levels are impacted by the salt operation. Toward this goal, this study developed a procedure for the flow path modeling of urban watersheds and applied it to two sites in Pittsburgh, PA, which are potentially susceptible to road salt application by PennDOT. The procedure was used in identifying areas contributing flows to PennDOT right-of-way, and vice versa. This study further took stream water quality samples during non-winter months for establishing baselines and during the winters of 2017 and 2018. Results show that over the non-winter months, the baseline stream chloride concentration has already exceeded criteria continuous concentration most of the time, but lies below the criteria maximum concentration of the environmental regulation. Test results on winter samples show that stream chloride concentration has risen following salt application after snow events, and has exceeded the criteria maximum concentration. The study also shows how surface model of different detail levels would affect the identified contributing areas related to target watersheds, and the importance of properly incorporating roadway features such as curves and bridges

Alignment of the CMS tracker with LHC and cosmic ray data

© CERN 2014 for the benefit of the CMS collaboration, published under the terms of the Creative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.The central component of the CMS detector is the largest silicon tracker ever built. The precise alignment of this complex device is a formidable challenge, and only achievable with a significant extension of the technologies routinely used for tracking detectors in the past. This article describes the full-scale alignment procedure as it is used during LHC operations. Among the specific features of the method are the simultaneous determination of up to 200 000 alignment parameters with tracks, the measurement of individual sensor curvature parameters, the control of systematic misalignment effects, and the implementation of the whole procedure in a multi-processor environment for high execution speed. Overall, the achieved statistical accuracy on the module alignment is found to be significantly better than 10μm

The Serial Link Processor for the Fast TracKer (FTK) processor at ATLAS

The Associative Memory (AM) system of the Fast Tracker (FTK) processor has been designed to perform pattern matching using the hit information of the ATLAS experiment silicon tracker. The AM is the heart of FTK and is mainly based on the use of ASICs (AM chips) designed on purpose to execute pattern matching with a high degree of parallelism. It finds track candidates at low resolution that are seeds for a full resolution track fitting. To solve the very challenging data traffic problems inside FTK, multiple board and chip designs have been performed. The currently proposed solution is named the “Serial Link Processor” and is based on an extremely powerful network of 2 Gb/s serial links. This paper reports on the design of the Serial Link Processor consisting of two types of boards, the Local Associative Memory Board (LAMB), a mezzanine where the AM chips are mounted, and the Associative Memory Board (AMB), a 9U VME board which holds and exercises four LAMBs. We report on the performance of the intermediate prototypes (both hardware and firmware) produced for the global FTK integration, an important milestone to be reached before the FTK production

The future evolution of the Fast Tracker processing unit

International audienceReal time tracking is a key ingredient for online event selection at hadron colliders. The Silicon Vertex Tracker at the CDF experiment and the Fast Tracker at ATLAS are two successful examples of the importance of dedicated hardware to reconstruct full events at hadron colliders. We present the future evolution of this technology, for applications to the High Luminosity runs at the Large Hadron Collider where Data processing speed will be achieved with custom VLSI pattern recognition and linearized track fitting executed inside modern FPGAs, exploiting deep pipelining, extensive parallelism, and efficient use of available resources. In the current system, one large FPGA executes track fitting in full resolution inside low resolution candidate tracks found by a set of custom ASIC devices, called Associative Memories. The FTK dual structure, based on the cooperation of VLSI AM and programmable FPGAs, will remain, but we plan to increase the FPGA parallelism by associating one FPGA to each AM chip. Implementing the two devices in a single package would achieve further performance improvements, plus miniaturization and integration of the state of the art prototypes. We present the new architecture, the design of the FPGA logic performing all the complementary functions of the pattern matching inside the AM, the tests performed on hardware

A wireless personal sensor node for real time dosimetry of interventional radiology operators

Wireless Sensor Networks (WSN) featuring portable devices are widely used for healthcare applications such as real time patient monitoring. In this paper the attention has been focused on dose monitoring of Interventional Radiology operators by describing the design of a dedicated WSN for real time monitoring. The performances of the network have been evaluated inside the operating room showing that it is possible to achieve data delivery in clinical environments. Data have been acquired during medical Interventional Radiology procedures making use of a final prototype ("Prototype2"), a non-miniaturized prototype (Prototype1) and a reference acquisition system ("Demo2") with the aim to compare their performance and to show the correct functionality of the prototypes during operating conditions

A Real-Time Demonstrator for Track Reconstruction in the CMS L1 Track-Trigger System Based on Custom Associative Memories and High-Performance FPGAs

International audienceA Real-Time demonstrator based on the ATCA Pulsar-IIB custom board and on the Pattern Recognition Mezzanine (PRM) board has been developed as a flexible platform to test and characterize low-latency algorithms for track reconstruction and L1 Trigger generation in future High Energy Physics experiments. The demonstrator has been extensively used to test and characterize the Track-Trigger algorithms and architecture based on the use of the Associative Memory ASICs and of the PRM cards. The flexibility of the demonstrator makes it suitable to explore other solutions fully based on high-performance FPGA device

Track finding mezzanine for Level-1 triggering in HL-LHC experiments

International audienceThe increase of the luminosity in the High Luminosity upgrade of the CERN Large Hadron Collider (HL-LHC) will require the use of Tracker information in the evaluation of the Level-1 trigger in order to keep the trigger rate acceptable (i.e.: <;1MHz). In order to extract the track information within the latency constraints (<;5μs), a custom real-time system is necessary. We developed a prototype of the main building block of this system, the Pattern Recognition Mezzanine (PRM) that combines custom Associative Memory ASICs with modern FPGA devices. The architecture, functionality and test results of the PRM are described in the present work

The ATLAS fast tracker processor design

The extended use of tracking information at the trigger level in the LHC is crucial for the trigger and data acquisition (TDAQ) system to fulfill its task. Precise and fast tracking is important to identify specific decay products of the Higgs boson or new phenomena, as well as to distinguish the contributions coming from the many collisions that occur at every bunch crossing. However, track reconstruction is among the most demanding tasks performed by the TDAQ computing farm; in fact, complete reconstruction at full Level-1 trigger accept rate (100 kHz) is not possible. In order to overcome this limitation, the ATLAS experiment is planning the installation of a dedicated processor, the Fast Tracker (FTK), which is aimed at achieving this goal. The FTK is a pipeline of high performance electronics, based on custom and commercial devices, which is expected to reconstruct, with high resolution, the trajectories of charged-particle tracks with a transverse momentum above 1 GeV, using the ATLAS inner tracker information. Pattern recognition and the track parameter extraction are expected to be performed in roughly 100 m s, allowing all the high level trigger selections to use the tracks provided by FTK in order to build high quality and robust triggering