Recent Upgrades to BBSIM Code V. H. Ranjbar † † Tech-X Corporation We have made several improvements to BBSIM, a parallel beam dynamics simulation code.

Slides:



Advertisements
Similar presentations
Beam Dynamics in MeRHIC Yue Hao On behalf of MeRHIC/eRHIC working group.
Advertisements

Current Status of Virtual Accelerator at J-PARC 3 GeV Rapid Cycling Synchrotron H. Harada*, K. Shigaki (Hiroshima University in Japan), H. Hotchi, F. Noda,
Development of a Chromaticity measurement application using Head-Tail phase shift technique.
Helmholtz International Center for Oliver Boine-Frankenheim GSI mbH and TU Darmstadt/TEMF FAIR accelerator theory (FAIR-AT) division Helmholtz International.
Transport formalism Taylor map: Third order Linear matrix elementsSecond order matrix elements Truncated maps Violation of the symplectic condition !
Paul Derwent 30 Nov 00 1 The Fermilab Accelerator Complex o Series of presentations  Overview of FNAL Accelerator Complex  Antiprotons: Stochastic Cooling.
AC dipole for LHC Mei Bai Collider Accelerator Department Brookhaven National Laboratory.
Introduction Status of SC simulations at CERN
GRD - Collimation Simulation with SIXTRACK - MIB WG - October 2005 LHC COLLIMATION SYSTEM STUDIES USING SIXTRACK Ralph Assmann, Stefano Redaelli, Guillaume.
Topic Three: Perturbations & Nonlinear Dynamics UW Spring 2008 Accelerator Physics J. J. Bisognano 1 Accelerator Physics Topic III Perturbations and Nonlinear.
SciDAC Accelerator Simulation project: FNAL Booster modeling, status and plans Robert D. Ryne, P. Spentzouris.
PTC ½ day – Experience in PS2 and SPS H. Bartosik, Y. Papaphilippou.
Simulation of direct space charge in Booster by using MAD program Y.Alexahin, N.Kazarinov.
1 BeamBeam3D: Code Improvements and Applications Ji Qiang Center of Beam Physics Lawrence Berkeley National Laboratory SciDAC II, COMPASS collaboration.
New Progress of the Nonlinear Collimation System for A. Faus-Golfe J. Resta López D. Schulte F. Zimmermann.
Development of Simulation Environment UAL for Spin Studies in EDM Fanglei Lin December
Emittance Growth from Elliptical Beams and Offset Collision at LHC and LRBB at RHIC Ji Qiang US LARP Workshop, Berkeley, April 26-28, 2006.
Beam-Beam Simulations for RHIC and LHC J. Qiang, LBNL Mini-Workshop on Beam-Beam Compensation July 2-4, 2007, SLAC, Menlo Park, California.
Matching recipe and tracking for the final focus T. Asaka †, J. Resta López ‡ and F. Zimmermann † CERN, Geneve / SPring-8, Japan ‡ CERN, Geneve / University.
Details of space charge calculations for J-PARC rings.
Beam dynamics on damping rings and beam-beam interaction Dec 포항 가속기 연구소 김 은 산.
October 4-5, Electron Lens Beam Physics Overview Yun Luo for RHIC e-lens team October 4-5, 2010 Electron Lens.
Simulation of direct space charge in Booster by using MAD program Y.Alexahin, A.Drozhdin, N.Kazarinov.
ELIC Low Beta Optics with Chromatic Corrections Hisham Kamal Sayed 1,2 Alex Bogacz 1 1 Jefferson Lab 2 Old Dominion University.
Oliver Boine-Frankenheim, High Current Beam Physics Group Simulation of space charge and impedance effects Funded through the EU-design study ‘DIRACsecondary.
1 FFAG Role as Muon Accelerators Shinji Machida ASTeC/STFC/RAL 15 November, /machida/doc/othertalks/machida_ pdf/machida/doc/othertalks/machida_ pdf.
 Advanced Accelerator Simulation Panagiotis Spentzouris Fermilab Computing Division (member of the SciDAC AST project)
A U.S. Department of Energy Office of Science Laboratory Operated by The University of Chicago Office of Science U.S. Department of Energy Containing a.
Alexander Molodozhentsev KEK for MR-commissioning group September 20, 2005 for RCS-MR commissioning group September 27, 2005 Sextupole effect for MR -
Overview of Booster PIP II upgrades and plans C.Y. Tan for Proton Source group PIP II Collaboration Meeting 03 June 2014.
Chromaticity dependence of the vertical effective impedance in the PS Chromaticity dependence of the vertical effective impedance in the PS S. Persichelli.
Beam-Beam Simulations Ji Qiang US LARP CM12 Collaboration Meeting Napa Valley, April 8-10, 2009 Lawrence Berkeley National Laboratory.
Collimator wakefields - G.Kurevlev Manchester 1 Collimator wake-fields Wake fields in collimators General information Types of wake potentials.
Midwest Accelerator Physics Meeting. Indiana University, March 15-19, ORBIT Electron Cloud Model Andrei Shishlo, Yoichi Sato, Slava Danilov, Jeff.
1 Experience at CERN with luminosity monitoring and calibration, ISR, SPS proton antiproton collider, LEP, and comments for LHC… Werner Herr and Rüdiger.
Simplified Modeling of Space Charge Losses in Booster at Injection Alexander Valishev June 17, 2015.
Cesr-TA Simulations: Overview and Status G. Dugan, Cornell University LCWS-08.
Collimation for the Linear Collider, Daresbury.1 Adam Mercer, German Kurevlev, Roger Barlow Simulation of Halo Collimation in BDS.
Status of Head-on Beam-Beam Compensation BNL - FNAL- LBNL - SLAC US LHC Accelerator Research Program A. Valishev, FNAL 09 April 2009 LARP CM12.
Andreas Jansson, "Quadrupole Pick-ups", LHC BI-Review, November 19-20, Quadrupole Pick-ups  What is a quadrupole pick-up?  PS pick-ups and experimental.
Beam-Beam effects in MeRHIC and eRHIC Yue Hao Collider-Accelerator Department Brookhaven National Laboratory Jan 10, 2009 EIC Meeting at Stony Brook.
Simulating Short Range Wakefields Roger Barlow XB10 1 st December 2010.
Beam-beam compensation at RHIC LARP Proposal Tanaji Sen, Wolfram Fischer Thanks to Jean-Pierre Koutchouk, Frank Zimmermann.
Orbits, Optics and Beam Dynamics in PEP-II Yunhai Cai Beam Physics Department SLAC March 6, 2007 ILC damping ring meeting at Frascati, Italy.
Ion effects in low emittance rings Giovanni Rumolo Thanks to R. Nagaoka, A. Oeftiger In CLIC Workshop 3-8 February, 2014, CERN.
The HiLumi LHC Design Study (a sub-system of HL-LHC) is co-funded by the European Commission within the Framework Programme 7 Capacities Specific Programme,
Six-dimensional weak-strong simulations of head-on compensation in RHIC Y. Luo, W. Fischer Brookhaven National Laboratory, USA ICFA Mini-workshop on Beam-Beam.
1 IMPACT: Benchmarking Ji Qiang Lawrence Berkeley National Laboratory CERN Space-Charge Collaboration Meeting, May 20-21, 2014.
Principle of Wire Compensation Theory and Simulations Simulations and Experiments The Tevatron operates with 36 proton bunches and 36 anti-proton bunches.
Beam-beam Simulation at eRHIC Yue Hao Collider-Accelerator Department Brookhaven National Laboratory July 29, 2010 EIC Meeting at The Catholic University.
Beam-Beam simulation and experiments in RHIC By Vahid Ranjbar and Tanaji Sen FNAL.
Marcel Schuh CERN-BE-RF-LR CH-1211 Genève 23, Switzerland 3rd SPL Collaboration Meeting at CERN on November 11-13, 2009 Higher.
LER Workshop, Oct 11, 2006Intensity Increase in the LER – T. Sen1 LHC Accelerator Research Program bnl-fnal-lbnl-slac  Motivation  Slip stacking in the.
2 February 8th - 10th, 2016 TWIICE 2 Workshop Instability studies in the CLIC Damping Rings including radiation damping A.Passarelli, H.Bartosik, O.Boine-Fankenheim,
Lecture 4 Longitudinal Dynamics I Professor Emmanuel Tsesmelis Directorate Office, CERN Department of Physics, University of Oxford ACAS School for Accelerator.
BNL trip  Goal of the BNL-FERMILAB- CERN collaboration  The codes  BB tune foot-prints  DA studies.
Paul Görgen TEMF / GSI. Overview 1.Introduction to Beam-Beam 2.The code used and simulation of BTF 3.Demonstration of different beam beam simulations.
Tracking simulations of protons quench test
Benchmarking MAD, SAD and PLACET Characterization and performance of the CLIC Beam Delivery System with MAD, SAD and PLACET T. Asaka† and J. Resta López‡
Electron Cooling Simulation For JLEIC
Beam-beam effects in eRHIC and MeRHIC
Electron cloud and collective effects in the FCC-ee Interaction Region
Beam-beam R&D for eRHIC Linac-Ring Option
Progress of SPPC lattice design
A Head-Tail Simulation Code for Electron Cloud
Beam-Beam Interaction in Linac-Ring Colliders
Beam-Beam Effects in the CEPC
Electron Rings Eduard Pozdeyev.
Beam-beam Studies, Tool Development and Tests
Presentation transcript:

Recent Upgrades to BBSIM Code V. H. Ranjbar † † Tech-X Corporation We have made several improvements to BBSIM, a parallel beam dynamics simulation code. These include the addition of diffusion characterization routines, dynamic changes in RF frequency, accurate modeling of beam transfer function measurements, ac dipole, single kick measurements and the effects of resistive wall wake fields. These improvements are in the process of being benchmarked against measurements in the Tevatron and RHIC and are being used to better understand the complex interaction of chromaticity and wakefields on chromaticity measurements in the Tevatron, RHIC and LHC as well reveal the character of diffusion in these machines.

Over View Diffusion Characterization Routines –What is regular Diffusion? What is anomalous Diffusion? –Applications of this technology Measurement and Instrumentation Modeling –Pickup, kickers and changes in radial loop Resistive wall wake-field –Benchmarking in Tevatron Beam Transfer measurements –Coalesced versus Uncoalesced chromaticities? (Or a tail of two chromaticies) –Impedance related or emittance size related? Tech-X Corporation 2

BBSIM Parallel Beam Dynamics Code Dr. Tanaji Sen (FNAL) and collaborators have developed BBSIM over the past 6 years. The BBSIM code has the ability to track multiple particles and simulate nonlinear effects in a high energy circular accelerator. The code includes the following features: –6D weak-strong model, including synchrotron oscillations; –nonlinearities, including chromaticity sextupoles, thin lens multipoles-- especially those in the IR quadrupoles at collision--and current carrying wire; –gas scattering and noise effects; –head-on and long-range interactions; –parallel I/O and computation; –diffusion coefficient calculator and equation solver. Tech-X Corporation 3

Why Do We care about Diffusion? Ultimately we who worry about running Colliders like the Tevatron, RHIC and the LHC want one thing, High integrated Luminosities. This of course is directly related to beam lifetimes. However when I last checked getting a realistic estimate of beam lifetimes from direct multi-particle simulation takes a long time especially if we want to include all the details realistically. Another approach is to instead use our simulations to estimate Diffusion over all of the action space. Then integrate the diffusion equation to determine the lifetime: Tech-X Corporation 4

Too good to be True. Yes as you might guess, there are assumptions here that need to hold, namely that the dynamics can be described by a normal diffusive process. So how do we know if the dynamics follow the rules of diffusion? Actually this is a very deep question which lots of people have spent much time thinking about and is related to the nature of the statistics governing the evolution of the given particle ensemble and whether the transition probability is Gaussian or not. The simple minded approach is to do many diffusion simulations with the same Diffusion Coefficients that our simulations are producing and see how the actions evolve in our simulation versus a “true” diffusion process. This is what we do in our “Simulated Path Approach”. Tech-X Corporation 5

Simulated Path Test for Diffusion One of the more successful approaches we implemented was based on [1]. In this method a C algorithm was developed which tested whether the sample estimates lie inside the confidence bands for all initial actions (J) within M max to M min. To accomplish this, the action moments where calculated using Here a Gaussian kernel function K was used with the parameter h acting as the bandwidth determining the smoothing behavior of the kernel function. For a continuous diffusion process, M 1 and M 2 are estimates of the drift and squared diffusion coefficient, respectively. Moments are calculated through 4th order and then used to simulate m paths of a continuous diffusion process. Then for each of the m paths, m moments M j (m) are calculated and then used to generate the median, 10th and 90th percentiles for each moment. These now serve as the confidence bands for some values of initial action J. If the moments lie within the confidence bands then normal diffusion hypothesis is confirmed. However if the sample estimates lie outside the confidence bands for some values of J the normal diffusion hypothesis is rejected. Tech-X Corporation 6

Sample Results for RHIC Lattice The evolution of the second moment as the action nears the dynamic aperture at 6  initial transverse horizontal (X) action in a RHIC simulation with both long-range and head-on kicks. The diffusion ceases to be regular beyond the dynamic aperture. The evolution of the second moment below the dynamic aperture at 5  initial transverse horizontal (X) action in a RHIC simulation with both long-range and head-on kicks. The diffusion appears regular. Tech-X Corporation 7

Future Work and Application of this Technology Further Characterize Nature of Diffusion –And nature of the underlying statistics. Can we still estimate lifetimes in those regions where the diffusion is anomalous? –How? Perhaps use an estimated transition probability to estimate lifetimes Because diffusion is an extremely common type of dynamics. This approach can be applied to a wide variety of systems. The additional code has been written with this in mind to make it capable of testing any series of data to determine if it is driven by normal or anomalous diffusion. Tech-X Corporation 8

Measurement and Instrumentation Modeling We also like to be able to simulate several tools used often to characterize the state of the machine during tune-up and studies. 1.Strip-line pickup 2.Single Kick 3.Continuous and frequency sweeping kick. 4.Changes in  offset used during chromaticity measurements 5.AC dipole kicker 6.2 nd order Chromaticity Tech-X Corporation 9

Resistive wall wake-field Plot of measured and BBSIM simulated data. Shown is the transverse (vertical) turn-by-turn data of the bunch head and tail after a 1mm kick 4ns ahead/behind the bucket center. Actual turn-by-turn data (bottom) compared with 10 4 macro- particle BBSIM simulation with resistive wall wake W 1  = 16cm 1.5 and chromaticity  y = 7 and   = 3ns and intensity of 2.44e11 particles-per-bunch. Plot of measured and BBSIM simulated data. Shown is the transverse (Horizontal) turn-by-turn data of the bunch head and tail after a 1mm kick 4ns ahead/behind the bucket center. Actual turn-by-turn data (bottom) compared with 10 4 macro- particle BBSIM simulation with resistive wall wake W 1  = 12cm 1.5 and chromaticity  x = 4 and   = 3ns and intensity of 2.44e11 particles-per-bunch. Tech-X Corporation 10

Beam Transfer measurements * (Still work in Progress) Ucoalesced proton Phase Measurements in Tevatron Coalesced proton Phase Measurements in Tevatron No Wakefield in Simulation Tech-X Corporation 11 * Experimental Data from C.Y. Tan at FNAL

BTF fits..cont (simulation needs more particles..too noisy) Coalesced proton Phase Measurements in Tevatron With Wakefield in Simulation Coalesced proton Phase Measurements in Tevatron with Wakefield and 2 nd Order Chrom. Tech-X Corporation 12

Conclusion and Future directions We have added several powerful tools to BBSIM 1.Tools for characterizing diffusion in a general fashion 2.Tools to correctly simulate several common measurements 3.Upgrades to physics: -Resistive wall wake field effects -Ability to handle changes in  in with the associated longitudinal dynamics -2 nd order Chromaticity Still would like to: 1.Improve speed of Wake field routines..very slow right now 2.Develop approach to estimate transition probabilities in anomalous cases Tech-X Corporation 13

References [1] G. Fusai and A. Roncoroni, Implementing Models in Quantitative Finance: Methods and Cases. Berlin Heidelberg: Springer-Verlag, [2] L. Vlahos et al., “Normal and anomalous diffusion: A tutorial“, http: // arxiv. org/ abs/ v1, Tech-X Corporation 14

Thanks: Tanaji Sen, Cheng-Yang Tan, Hyung-Jim Kim Tech-X Corporation 15