Topics for the discussion session 05/11/2015

Slides:



Advertisements
Similar presentations
An Image Filtering Technique for SPIDER Visible Tomography N. Fonnesu M. Agostini, M. Brombin, R.Pasqualotto, G.Serianni 3rd PhD Event- York- 24th-26th.
Advertisements

Warehouse Management Luis Felipe Cardona.
An approach to the SN ratios based on
Lorentz force detuning measurements on the CEA cavity
5/3/2015J-PARC1 Transverse Matching Using Transverse Profiles and Longitudinal Beam arrival Times.
G. Alonso, D. Kossmann Systems Group
Page 1 First Order Modeling of Cannon Fire Out-of-Battery (FOOB) Recoil Dynamics Presented at the 39th Annual Guns & Ammunition/ Missiles & Rockets Symposium.
Aims: - evaluate typical properties in controlled model situations - gain general insights into machine learning problems - compare algorithms in controlled.
MAE 552 Heuristic Optimization
Chapter 7: Variation in repeated samples – Sampling distributions
T T07-01 Sample Size Effect – Normal Distribution Purpose Allows the analyst to analyze the effect that sample size has on a sampling distribution.
The free-energy principle: a rough guide to the brain? K Friston Summarized by Joon Shik Kim (Thu) Computational Models of Intelligence.
Transverse polarization: do we need wigglers? M. Koratzinos With valuable input from Alain Blondel TLEP ACC meeting no. 4, 24/3/2014.
Inventory Guru Introduction
Determining the Sample Size. Doing research costs… Power of a hypothesis test generally is an increasing function of sample size. Margin of error is generally.
Learning Phase at Head Ends 1 Edge Events Appliance Table Input Output by Naoki ref: M. Baranski and V. Jurgen (2004) by Josh Implemented in Java with.
Stochastic DAG Scheduling using Monte Carlo Approach Heterogeneous Computing Workshop (at IPDPS) 2012 Extended version: Elsevier JPDC (accepted July 2013,
Income Benchmark Applied Inclusive Growth Analytics Course June 29, 2009 Leonardo Garrido.
Ralph Assmann What Do We Want To Measure (in 2009) R. Assmann S. Redaelli, V. Previtali CERN/BE discussed with W. Scandale CERN/EN26/3/2009CC09  See also.
I can be You: Questioning the use of Keystroke Dynamics as Biometrics —Paper by Tey Chee Meng, Payas Gupta, Debin Gao Presented by: Kai Li Department of.
1 Status of FNPB Geoff Greene / Nadia Fomin University of Tennessee.
1 Statistics David Forrest University of Glasgow May 5 th 2009.
1J. Baker Jack Baker Civil & Environmental Engineering Stanford University Use of elastic & inelastic response spectra properties to validate simulated.
Why the Spring Model Doesn’t Work The Abelian Group Edward Lee, Seonhee Kim, Adrian So.
How Good is a Model? How much information does AIC give us? –Model 1: 3124 –Model 2: 2932 –Model 3: 2968 –Model 4: 3204 –Model 5: 5436.
Markov Decision Process (MDP)
Predicting the In-System Performance of the CMS Tracker Analog Readout Optical Links Stefanos Dris CERN & Imperial College, London.
First Demonstration of Optics Measurement and Correction during Acceleration Chuyu Liu Collider Accelerator Department, BNL.
Negotiation & Challenge Problem meet Complexity & Dynamics Purview: interaction between dynamics & complexity teams and challenge problem teams –Can CP.
A Monte Carlo Model of Tevatron Collider Operations Elliott McCrory, BD/(Linac & Integration) 4, 5 December 2003 A phenomenological model of Tevatron Collider.
Using the Model to Evaluate Observation Locations and Parameter Information in the Context of Predictions.
1 Statistics Update David Forrest University of Glasgow.
Method of Measurement Beam Machine Parameter Model Parameters Measurement System Beam Observable Physical Processes Instrument Influence Quantities Primary.
Name of Student : PATEL ARPITKUMAR RAJNIKANT Enrollment No
1 R&D Plans for Impedance Driven Single-Bunch Instabilities (WBS 2.2.1) M. Venturini ( presented by M. Zisman) LBNL LCWS07 DESY, Hamburg May 30 - June.
Spherical Collapse and the Mass Function – Chameleon Dark Energy Stephen Appleby, APCTP-TUS dark energy workshop 5 th June, 2014 M. Kopp, S.A.A, I. Achitouv,
Unified Adaptivity Optimization of Clock and Logic Signals Shiyan Hu and Jiang Hu Dept of Electrical and Computer Engineering Texas A&M University.
GRI-Mech Approach Data Collaboration Results
Open loop vs closed loop
Orbit Response Matrix Analysis
Topic report Laser beam quality
Presented by Munezero Immaculee Joselyne PhD in Software Engineering
CS b659: Intelligent Robotics
Prepared by LF Pardo (France)
BEAM DISTRIBUTION FLATTENING TECHNIQUES
Acknowledgments: LIU-PT members and deputies, H. Bartosik
Lecture 5 Optimum path for CO2 emission
Overview of Supervised Learning
Developing SMART Goals.
عمل الطالبة : هايدى محمد عبد المنعم حسين
Predictive Performance
Use of NWP+RTM as inter-calibration tool
The free-energy principle: a rough guide to the brain? K Friston
Considerations on Beam Diagnostics Physics
A one stop service to all your remarketing needs
OCELOT orbit correction and optimizer
Tools for Implementation
Programmable Logic Controllers (PLCs)
MECH 3550 : Simulation & Visualization
Tools for Implementation
Predicting Scrape-Off Layer profiles and filamentary transport for reactor relevant devices   A statistical framework was developed to interpret and predict.
#22 Uncertainty of Derived Parameters
2. Crosschecking computer codes for AWAKE
Commissioning Issues of BEPCII
Topic 14 Algorithm Families.
HALLA APEL REPORT Yves Roblin Hall A colllaboration Meeting
Inference Concepts 1-Sample Z-Tests.
On reproducibility From several inputs of N. Sammut, S. Sanfilippo, W. Venturini Presented by L. Bottura LHCCWG
Emittance Studies at Extraction of the PS Booster: Emittance Calculation S. Albright, F. Antoniou, F. Asvesta, H. Bartosik, G.P. Di Giovanni, M. Fraser,
Presentation transcript:

Topics for the discussion session 05/11/2015 How realistic are typical beam dynamics calculation to be used for predictions? What are the inputs from beam measurements used? What are the assumptions in typical calculations? How are assumptions communicated to the operation crew and BI groups? What are the basic beam observable needed for beam dynamics calculations? To which details they are required? E.g. Is the full transverse profile (which might be very ‘non-Gaussian’) useful or only reduced quantities of statistical moments e.g. standard deviation? E.g. For what beam parameter a single shot measurement are required e.g. within the same cycle is mandatory or are repeatable measurements possible which relay on reproducibility of the accelerator ? What is the path from basic commissioning to reach of design goal? Commissioning = prove of basic functionality of technical devices leading to some beam-on-target Design goals = optimal beam parameter reached What information should be achieved during operation runs for offline analysis?