'Detector data' presentation slideshows

High Level Triggering

High Level Triggering. Fred Wickens. High Level Triggering (HLT). Introduction to triggering and HLT systems What is Triggering What is High Level Triggering Why do we need it Case study of ATLAS HLT (+ some comparisons with other experiments) Summary.

989 views • 80 slides

High Level Triggering

High Level Triggering. Fred Wickens. High Level Triggering (HLT). Introduction to triggering and HLT systems What is Triggering What is High Level Triggering Why do we need it Case study of ATLAS HLT (+ some comparisons with other experiments) Summary.

993 views • 78 slides

High Level Triggering

High Level Triggering. Fred Wickens. High Level Triggering (HLT). Introduction to triggering and HLT systems What is Triggering What is High Level Triggering Why do we need it Case study of ATLAS HLT (+ some comparisons with other experiments) Summary.

931 views • 78 slides

513 views • 39 slides

LHCb Detector Description

540 views • 39 slides

Far Detector Data Quality

420 views • 32 slides

Ali Gholami Center for Advanced Transportation Education and Research (CATER)

Using Detector Information to Determine Turning Movement Proportions at Signalized Intersections with Shared Lanes. Ali Gholami Center for Advanced Transportation Education and Research (CATER) Department of Civil & Environmental Engineering University of Nevada, Reno. Outline.

397 views • 32 slides

Detector Simulation and Geant4

Detector Simulation and Geant4. Introductions to Gauss and GEANT4 in previous lectures Goal: To simulate the performance of the real detector Simulation involves: Creating the Geometry and material descriptions in the Database

590 views • 30 slides

RITIS Standards Evaluation & Usage

RITIS Standards Evaluation & Usage. Presented at the NCR REGIONAL ITS ARCHITECTURE WORKING GROUP By Jason Ellison November 3, 2007. What are ITS Standards?. ITS Standards are technical documents that describe how communication takes place between multiple systems.

413 views • 27 slides

CTS Transportation Seminar Series, January 13, 2006 Aaron Breakstone

Using Ground Truth Geospatial Data to Validate Advanced Traveler Information Systems Freeway Travel Time Messages. CTS Transportation Seminar Series, January 13, 2006 Aaron Breakstone Master of Urban and Regional Planning Candidate Portland State University Chris Monsere , Ph.D., P.E.

368 views • 26 slides

Simulation and Physics

Simulation and Physics. Software Project Panel G. Corti, G. Gracia. LHCb Simulation and Physics.

454 views • 24 slides

The Minos Experiment

The Minos Experiment. Overview NUMI Beam Minos Detectors Physics Capabilities First (non-beam) Data. G.F. Pearce Rutherford Appleton Laboratory. U.K. Russia. U.S.A. Greece. France. Brazil. The MINOS Collaboration. 175 physicists from 31 institutes in 5 countries.

429 views • 22 slides

Detector Description in LHCb

Detector Description in LHCb. Introductions to Gauss and GEANT4 in previous lectures Goal: To simulate the performance of the real detector Simulation involves, among other things, creating the geometry and material descriptions in the database. Detector Simulation.

349 views • 22 slides

312 views • 21 slides

Detector Description in LHCb

Detector Description in LHCb. Detector Description Workshop 22 May 2001 P. Mato / CERN. Contents. Architecture Technical Choices Current Implementation Status Plans. Converter. Converter. Application Manager. Converter. Event Selector. Transient Event Store. Data Files. Message

292 views • 18 slides

Regional Cal. Trigger Milestone: Production Complete - U. Wisconsin

Receiver Mezz. Card. Bar Code. Front. Adder. mezz link cards. EISO. SORT ASICs (w/heat sinks). Input. BSCAN ASICs. EISO. DC-DC. 7/25 tested (18). 153/154 Tested (126). Back. Oscillator. Bar Code. Phase ASIC. PHASE ASICs. Clock Input. Clock delay adjust. BSCAN

285 views • 17 slides

Estimation of Diversion Rate during Incidents Based on Mainline Detector Data

Transpo 2012. Estimation of Diversion Rate during Incidents Based on Mainline Detector Data. Yan Xiao, Mohammed Hadi, Maria Lucia Rojas Lehman Center for Transportation Research Department of Civil and Environmental Engineering Florida International University Miami, FL October 30, 2012.

275 views • 16 slides

A different cc/nc oscillation analysis

A different cc/nc oscillation analysis. Peter Litchfield. The Idea: Translate near detector events to the far detector event-by-event, incorporating oscillations Process and fit nc and cc events simultaneously, incorporating near/far differences in reconstruction and selection

253 views • 14 slides

DmpCal & DmpRec

DmpCal & DmpRec. DAMPE software modules. DAMPE software. Geometry. Simulation ? DmpSimulation ?. Calibration. Generation. Reconstruction. Visualization ( DmpEventDisplay ). Distribution data. Detector Data. Raw Data Conversion ( DmpRDC ). Analysis environment. DetectorCondition.

111 views • 4 slides

= Trigger Element

LVL1 Selection. ? Comb. ? Isol. Toroid. ? Fast. RPC. MOORE. ? Comb. ? CTPI. CTP. TGC. MuId SA. TrigDiMuon. Low p T (6 GeV). ? Fast rate (kHz). ? Comb rate (kHz). MuId COMB. ? Tile. K / ? decays. 3.18. 1.1. b decays. 0.91. 0.68. 75 KHz. c decays. 0.41. 0.35. ~2 kHz.

202 views • 1 slides