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A Hardware Track-Trigger for CMS - at the High Luminosity LHC (Hardcover, 1st ed. 2019) Loot Price: R2,927
Discovery Miles 29 270
A Hardware Track-Trigger for CMS - at the High Luminosity LHC (Hardcover, 1st ed. 2019): Thomas Owen James

A Hardware Track-Trigger for CMS - at the High Luminosity LHC (Hardcover, 1st ed. 2019)

Thomas Owen James

Series: Springer Theses

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Loot Price R2,927 Discovery Miles 29 270 | Repayment Terms: R274 pm x 12*

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The work described in this PhD thesis is a study of a real implementation of a track-finder system which could provide reconstructed high transverse momentum tracks to the first-level trigger of the High Luminosity LHC upgrade of the CMS experiment. This is vital for the future success of CMS, since otherwise it will be impossible to achieve the trigger selectivity needed to contain the very high event rates. The unique and extremely challenging requirement of the system is to utilise the enormous volume of tracker data within a few microseconds to arrive at a trigger decision. The track-finder demonstrator described proved unequivocally, using existing hardware, that a real-time track-finder could be built using present-generation FPGA-based technology which would meet the latency and performance requirements of the future tracker. This means that more advanced hardware customised for the new CMS tracker should be even more capable, and will deliver very significant gains for the future physics returns from the LHC.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Theses
Release date: November 2019
First published: 2019
Authors: Thomas Owen James
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 121
Edition: 1st ed. 2019
ISBN-13: 978-3-03-031933-5
Categories: Books > Science & Mathematics > Science: general issues > Scientific standards
Books > Science & Mathematics > Physics > Particle & high-energy physics
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > Semi-conductors & super-conductors
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LSN: 3-03-031933-4
Barcode: 9783030319335

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