Global accelerator TTF Raimund Kammering DESY MVP TTF2 Review Meeting at Salzau, January 2003

Raimund Kammering, DESY MVP22. January Overview Motivation for a GANMotivation for a GAN TTF1 Making the next step: TTF2Making the next step: TTF2

Raimund Kammering, DESY MVP22. January Why do we need a GAN? Build a (big) project within an international collaboration effectively use of world-wide competence, ideas and resources maintain and foster the centers of excellence in accelerator physics around the world Challenges how to develop trust between people and cultures? how to keep the people involved and responsible? how to communicate and distribute the information? …

Raimund Kammering, DESY MVP22. January What is a GAN? Remote operation Remote solving of problems Remote improvements/developments/measurements Share information and documentation Remote meetings/conferences collaborative work

Raimund Kammering, DESY MVP22. January Requirements for remote operation Network security (firewall, port filter, SSH, https) Machine protection system (interlock sys.) Common control system interface Access to all devices and data (diagnostics, resets) Electronic logbook Video conferencing (shift turnover & meetings) Operator training

Raimund Kammering, DESY MVP22. January Remote operation (security) I / O CPU I / O CPU I / O CPU SSH +Web Firewall Port filter Remote Terminal X-Window Web Browser Server for Applications eLogBook Front-ends Accelerator site Somewhere in the world

Raimund Kammering, DESY MVP22. January Experience with remote TTF TTF DESY (Hamburg) A0 Fermilab PITZ DESY (Berlin) Facility to control TTF BKR Home, Office Hamburg Milano, Roma Paris Chicago Berlin INFN PITZ Saclay Orsay Fermilab A0

Raimund Kammering, DESY MVP22. January Is a must for doing remote shifts Involves more people into the daily operation Can be the common place for all measurement results Is accessible from everywhere at every time The electronic logbook An e-logbook is an important tool for a GAN!

Raimund Kammering, DESY MVP22. January The TTF eLogBook

Raimund Kammering, DESY MVP22. January The TTF eLogBook Accelerator Operator Make inputs Interact Home Office Location x Accelerator site Gather information and status Comment The world wide web

Raimund Kammering, DESY MVP22. January Has gained a high acceptance Already triggered some contributions (H1) Designed as an open tool (is extensible) Is the common place for all measurement results The TTF eLogBook (cont.) Has proven to be a good GAN tool!

Raimund Kammering, DESY MVP22. January First experience with MS Netmeeting (shifts) - Bad audio quality - Only point to point connections possible Video TTF We need a better video tool! Some test with VRVS have been done (conference) + Good audio quality + Multicast connections possible

Raimund Kammering, DESY MVP22. January Making the next step: TTF2 DOOCS provides all tools necessary to do remote operation We have good experience with remote shifts and maintenance We need to provide also access to the long term data (DAQ) to the world (talk of K. Rehlich) The control system DOOCS is a adequate control system in the sense of a GAN

Raimund Kammering, DESY MVP22. January Making the next step: TTF2 Shows that the web technologies can really help The use of these web techniques will be extended to offer more information: general error and info service (poster of O. PCaPAC 2002) The electronic logbook Web services have proven be the adequate technique for delivering information/documentation in the sense of a GAN

Raimund Kammering, DESY MVP22. January Making the next step: TTF2 General technique fulfills our needs Different systems have to be evaluated Techniques have to be improved, users have to get used to these new systems The video systems We will have to work on this area to establish the functionality we need

Raimund Kammering, DESY MVP22. January TTF2 As already stated in the talk of K. Rehlich do we need a DAQ to further improve and develop the accelerator Such a DAQ system brings up some new challenges in terms of the huge amount of data The TTF2 DAQ system as an example for a collaborative GAN work

Raimund Kammering, DESY MVP22. January TTF2 DAQ Orbit server ADC’s ~800 channels possible 8TB/day max 50GB/day Shared memory Disk backup dCache tape storage User GUI (ROOT) Filter, configure

Raimund Kammering, DESY MVP22. January TTF2 This huge amount of data is in the range of an average HEP experiment (H1 ~ 110 GB/day) Here we could learn from the experiments We established a collaboration with: Ohio State/Cornell/Zeuthen Work in such a collaboration can only be done in the sense of a GAN

Raimund Kammering, DESY MVP22. January The end Thanks for your attention! Refs: DOOCS: eLogBook: TTF GAN: