XAL at J-PARC Hiroyuki Sako, G. Shen, JAEA C. K. Allen, ORNL Contents Why did we introduce XAL? Installing XAL Developing XAL Achievements with XAL Summary

Why did we introduce XAL to J-PARC? All functions necessary for commissioning apps are there –EPICS CA (with a wrapper “Channel” class) –GUI (a template for GUI application) –Online model –RDB interface Implemented in Java –Easy development/maintenance in OO language with IDE –Code organization seemed clear and good. Each code is understandable. Close relation between model and device control –Read a channel and set the value to the model –Read data from the model and set it to a channel –“Virtual Accelerator” seemed attractive Testing apps with simulation in CA without beam There are many apps which may be used in J-PARC.

Installing XAL Building XAL (Linux, Windows) –Installation of java SDK, ant, JCA/CAJ, (EPICS, PCAS) –Building XAL had no problem. Successful in the first attempt. Setup –JCA/CAJ configuration –PCAS (for virtual accelerator) Development of XAL input files –Base for all XAL tools –Developed a RDB and an automatic generation tool input files XAL lattice data structure is easy to map to RDB –Each element is located at a z-position. No need to fill drift between elements.

ER diagram of Commissioning DB (for lattice info) PostgreSQL 8.1 Beam table –Twiss/emittance/energy Generation of Probe file Lattice data –Geometry table (static) –Device parameter table (many sets of data with tags) –Different tables for each device type Dipole magnet Quad magnet RF monitor

Lattice Data Manager GUI tool for lattice related tables Save a lattice data set with a tag and comments Generation of XAL and Trace3D lattice files Both calculated sets and corrected sets with beam are stored with different tags

Developing XAL Extension and test of the online model –Detailed comparison of the online model with TRACE3D Because we use also TRACE3D As a result, we have fixed XAL bugs –Space charge calculations –RF gap transfer matrix  Finally difference from Trace3D becomes less than 1% (Thanks Chris) –PMQ (QM with fringe field) element added –Emittance growth effect at RF gap Interface for PostgreSQL –PostgreSQL I/O class (PgsqlDatabaseAdaptor) implemented –DB tables created with same definitions from ORACLE ones. –It took only a few days. PVlogger and SCORE work

Version control Short history May 04First installation of XAL (got tar file from XAL web page) Updates of XAL were done by downloading tar file Dec 04J-PARC version control started with CVS Jun 05Updated (merged) with newest SNS code Aug 06Moved to SVN (then we updated again with newest SNS version from SourceForge) Found SVN is much nicer than CVS –Version control as a whole set of codes Problem: hard to synchronize our version with SNS version –We customize our codes very much for J-PARC. –To update our version from SNS, we compared and merged every code manually. Takes a week. Any better way?

Issues No official document. Only Javadoc. There is no tutorial how to write a XAL application Merging version of each institute may be necessary in near future JCA or CAJ? (not XAL problem) –JCA is stable but slow when treating many channels (more than a few hundreds) –CAJ1.1.3 is fast, but has problems in disconnection and “caput” We identified bugs and fixed with Matej. We still use JCA but could move to the next CAJ version.

PVlogger or SCORE? SCORE –Convenient for comparison and restoring functions –But heavy In J-PARC LINAC (RF/magnets/monitors), we save ~ 9K channels –There is no periodic logging function In J-PARC, some groups want to take a snapshot periodically PVlogger –Can take a snapshot periodically –Also has a function to take a snapshot with comments –Parameters can be read from applications (such as MPX) Connection with the model is there! –But restore function is not there We added corresponding set point record entry in the DB table Save and Restore application (like SCORE) must be implemented Can we use PVloggger instead of SCORE? –We’d like to have your suggestions

Our achievements with XAL XAL applications for LINAC beam commissioning –iTuning (RF tuning) –BBC (Beam Based Calibration) –Orbitcorrect (orbit correction) –EnergyMaster (beam energy analyzer) –SCORE (Save and Restore DB) –PVlogger Reference: ICALEPCS2007, Oct 18(Th) 17:40 H. Sako, et al, Beam commissioning software and database for J-PARC LINAC

RF Tuning (iTuning) Tune RF amplitude and phase to get a designed energy gain by measuring time-of-flight with Fast Current Transformers Energy vs RF phase And fit to a model  2 of fit to a model (Parmila) as a function of RF amplitude

Beam Based Alignment (BBC) –Change QM and steering field and measure beam positions with BPM –Find center of QM MEBT1 BPM05 Downstream BPM positions vs QM field at each steerer field Center BPM positions as a function of the slopes (left plot) QM field Slope (Q vs BPM) BPM Steering field

Orbit Correction (orbitcorrect) Measured BPM positions (horizontal) Prediction by online simulator After correction, Measured positions agrees well with prediction After correction Before correction (SDTL)

First Injection to RCS (H0 dump) 5 Oct % CM Carbon plate (thermometer) Beam profiles measured by MWPMs

Summary XAL was developed in J-PARC and successfully applied as LINAC commissioning tools More active collaboration sharing information is useful for development of XAL

Acknowledgements We thank collaborators for successful beam commissioning of J-PARC LINAC with XAL –Especially John Galambos, Chris Allen, Tom Pelaia, Paul Chu, and Andrej Shishlo

Save and Restore DB (SCORE) SCORE application with PostgreSQL –Save, Compare and Restore a set of channels –RF, magnets, monitors (~9k channels in total).

EnergyMaster Collection of information –Beam destination –Beam current –RF timing –RF on/off Choose a proper FCT pair and calculate energy depending on RF acceleration Energy evolution during RF tuning (PVlogger) Energy measurement status

First acceleration to 181 MeV 24 Jan 2007 Design Energy Measured Energy 181MeV

We thought we can use XAL apps but actually developed most of them by ourselves - different hardware and tuning algorithms Applications for commissioning collab. mtg. at Tsukuba XAL apps to be used (or to be modified for J-PARC) Oct07 (actually implemented) RF phase/amp tuningPASTAiTuning (new XAL app) Transverse matching with WS AOCmatcher (no XAL) Emittance/Twiss measurements with WS AOC, emittanceCalc.pyWS profile measurer (no XAL) Orbit correction with steering magnets Orbitcorrect Beam Based Alignmentfind_beam_center.pyBBC (new XAL) Save and Restore toolsSCORE Applications

Some functions which may be useful (we could contribute) Back propagation tracker –Starting with Twiss/emittance at downstream, calculate those at an upstream position Newton-Raphson method with Response matrix –Much faster optimizing method than Simplex A few 10 iterations converge instead of ~ 100 with Simplex –Proved to work in the transverse matching Calculate Response matrix with online model Applications

Newton-Raphson method