Document Detail


The data acquisition and reduction challenge at the Large Hadron Collider.
MedLine Citation:
PMID:  22253246     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
The Large Hadron Collider detectors are technological marvels-which resemble, in functionality, three-dimensional digital cameras with 100 Mpixels-capable of observing proton-proton (pp) collisions at the crossing rate of 40 MHz. Data handling limitations at the recording end imply the selection of only one pp event out of each 10(5). The readout and processing of this huge amount of information, along with the selection of the best approximately 200 events every second, is carried out by a trigger and data acquisition system, supplemented by a sophisticated control and monitor system. This paper presents an overview of the challenges that the development of these systems has presented over the past 15 years. It concludes with a short historical perspective, some lessons learnt and a few thoughts on the future.
Authors:
Sergio Cittolin
Related Documents :
21761696 - Reconstruction of 4d-ct from a single free-breathing 3d-ct by spatial-temporal image re...
22254546 - Direct interaction with an assistive robot for individuals with chronic stroke.
22180316 - Mri reconstruction from 2d truncated k-space.
22170786 - Multi-dimensional respiratory motion tracking from markerless optical surface imaging b...
16393336 - An objective spinal motion imaging assessment (osmia): reliability, accuracy and exposu...
20503406 - Advances in imaging of inflammatory breast cancer.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  370     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-04-06     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  950-64     Citation Subset:  -    
Affiliation:
CERN/PH div., Geneva, Switzerland. sergio.cittolin@cern.ch
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Early physics results.
Next Document:  The Large Hadron Collider and Grid computing.