Presentation is loading. Please wait.

Presentation is loading. Please wait.

for ATLAS data taking and data analysis

Similar presentations


Presentation on theme: "for ATLAS data taking and data analysis"— Presentation transcript:

1 for ATLAS data taking and data analysis
On JINR preparation for ATLAS data taking and data analysis V.Bednyakov on behalf of JINR-ATLAS team at the PAC for Particle Physics, 10 June 2009 1 1

2 The very first beam-splash event from the LHC in ATLAS
7/31/2018 The very first beam-splash event from the LHC in ATLAS on 10:19, 10th September 2008 ATLAS detector works! 2 2

3 JINR preparations for ATLAS data taking and analysis include:
Readiness in ATLAS computing JINR in the ATLAS GRID ATLAS resources and software Teaching and training of people GANGA and PANDA tutorials Remote control room Selection of the first physical tasks

4 JINR in the ATLAS Grid Amount of experimental data from the ATLAS detector reaches 5 Petabytes per year – Data processing and analysis is impossible without use of large-scale computing Grid. WLCG (Worldwide LHC Computing Grid) has been established. JINR participates in the ATLAS Grid as part of Russian Data Intensive Grid (RDIG), which plays role of ATLAS Tier-2. JINR computing facilities are used by ATLAS collaboration for event simulation, detector calibration and cosmic data analysis via Grid JINR is integrated both in the ATLAS data management and production systems, and ready for real data processing.

5 JINR in the ATLAS Grid Plans for 2009+ Current activities
Participation in the ATLAS central MC production and analysis Particiaption in functional tests of ATLAS Distributed Data Management Participation in the stress-tests of ATLAS analysis infrastructure Participation in the combined tests of the LHC Computing System (STEP09) Participation in the ATLAS Distributed Computing software development and operation (M.Shiyakova, S.Baranov) User support and training at JINR Plans for 2009+ Continue site tests and preparation to receive and process first LHC data in close cooperation with ADC group and SARA cloud (Tier-1) Continue support and train JINR physicists to use Grid tools Thanks to A.Zemchugov

6 Current JINR computing resources:
CPU: MSi2K (720 CPU cores) % of Russian Tier-2 today Disk: Tb (75 Tb for ATLAS) 25 % of Russian Tier-2 today In comparison with 2008 CPU power increased by factor of 3 Disk space increased by factor of 4 JINR Grid is the best in Russia Thanks to A.Zemchugov

7 Usage of CICC for LHC experiments, ½ year
Jan-May 2009, by total RDIG sites Thanks to T.Strizh

8 User Training and Tutorials
Russian and JINR physicists participants of ATLAS experiment train and practise with Grid and the GANGA

9 ATLAS Computing HOWTO site: http://atlasinfo. jinr. ru/computing/howto
LCG Commands User Guide Tutorial on distributed analysis of ATLAS data in Dubna, 19 April 2007 GANGA tutorial in Dubna, 21 January 2008 Tutorial on distributed analysis of ATLAS data in Dubna, 17 April 2008 Athena at JINR lxpub: Mini-HOWTO  Tutorial on distributed analysis of ATLAS data in Dubna, 14 October 2008

10 The prototype of the real time ATLAS remote monitoring system is operational at DLNP
MOTIVATION Monitoring of the detector and data flows at any time Participation of the subsystem experts from Dubna in the shifts and data quality checks remotely Training the shifters before they come to CERN at JINR Control Room at CERN 10

11 “ATLAS expects to remain of High Energy Particle Physics
at the energy frontier of High Energy Particle Physics for the next years ….” ATLAS collaboration enters into a new decisive phase of data taking and data analysis – from construction, assembling and commissioning to long-term stable detector exploration; from subsystem and working-group activities to central and coordinated management. At this intermediate stage the main goals are to study of detector, its calibrations, algorithm verifications, data flows and data quality study …

12 New stage of JINR participation in the ATLAS: We need:
Data analysis for detector study and Physics. Data simulations Common Operation Tasks (including shifts, on-call experts, and data quality control) Support of LCG-ATLAS activities Participation in the ATLAS upgrade We need: Modification of management in JINR (Shifts, OT, Physics) Optimization of author list Both OT and Physics are obligatory for an author To enter JINR team one first has to become “visible” in the ATLAS Concentration on “ATLAS-approved” works

13 ATLAS Early Physics Understand and calibrate detector and trigger in situ, using well-known physics samples e.g. - Z  ee,  tracker, ECAL, e-ID, Muon chambers calibration/alignment, … - tt  bl bjj jet scale from W  jj, b-tag performance, etc. Understand basic SM physics at s = 14 TeV --> first tuning of Monte Carlo Main candles: W, Z, tt, minimum bias, QCD jets e.g. - measure cross-sections (initially to ~ 20 %), look at basic event features, first constraints of PDFs, etc. - measure top mass (to ~ 7 GeV)  give feedback on detector performance Goal # 1 Goal # 2 Prepare the road to discovery: measure backgrounds to New Physics : e.g. tt and W/Z+ jets (omnipresent …) Look for New Physics potentially accessible in first year(s) (e.g. Z’  ee, SUSY, some Higgs ? …) Goal # 3 Thanks to M.Nessi 11/15/2007

14 First Data analysis in JINR (minimum-bias physics)

15 Minimum bias trigger scintillators (MBTS)
was supplied by JINR Thanks to J I N R

16 Minimum bias dN/dη distributions
Charged particle density UA5 CDF LHC predictions JINR group (Leader Yu.Kulchitsky) participates in energy dependence study of charged particles distributions on the basis of the first ATLAS data within the ATLAS SM-working group (following ATLAS management recommendations)

17 First Data analysis in JINR (E/P for min-bias VHM)
Resource requirements Roughly (for one year) the task needs 20 Tb disk space (or more) and about CPU hours. For next years the required disk space is about 60 Tb (for data storage) Study of very high multiplicity physics on the minimum-bias trigger (ATLAS Leader Yu.Kulchitsky). For this purpose: In-situ calibration of ATLAS calorimeters with E/P-method will be done (with charged single hadrons from minimum-bias events) ... This allows one correct hadrons jet reconstruction at low energies (0.5-20 GeV) and separation soft events from hard ones.

18 First Data analysis in JINR (calibrations, etc)
JINR (proposed) Operation Task: permanent monitoring with data of Hadronic calorimeter response (resolution and linearity) Yu.Kulchitsky and E.Khramov

19 Early Physics – Resource estimate example:
Measurement of pp->Zbb+X with early data as background for SM Higgs search (M.Demichev, et al). It was shown that 1 year LHC low luminosity is enough to measure the process at required accuracy level. In total 4M of simulated events was used for full analysis. It has 1Tbyte disk and KSi2k-hours CPU (~7000 CPU-hours). Expected real data statistics is much higher. The relevant resources are about 10Tbyte+70k CPU-hours (if 10 times higher). Re-analysis (2nd year) needs at least twice more disk space. thanks to A.Zemchugov

20 Early Physics Physics Resource estimates
Direct measurement of pp->Zbb as background for SM Higgs search (1year LHC low luminosity) Top quark SM charge verification (previous PAC talk by E.Khramov). 1 fb-1 (~1 month at low luminosity) is enough to prove or reject the exotic quark (Q=-4/3e). Search for Top-antitop resonances. ATLAS is able to discover the top-antitiop resonance after 1 fb-1 (~1 month at low luminosity)‏. gluinos SUSY searches. Very clear signature - 4 b-jets and 2 OS lepton pairs in final state, together with huge Etmiss Search for excited spin-1 bosons Resource estimates 10Tbyte+70k CPU-hours (2-3 authors) 5Tbyte+6k CPU-hours (2 authors) 5Tbyte+7k CPU-hours (2-3 authors) 40Tbyte+70k CPU-hours (3-4 authors) 10Tbyte+7k CPU-hours (2 authors)

21 (Now at JINR) Dubna group ALREADY has detailed simulations within the ATLAS framework, with early data we are ready to make a paper (ATLAS-note) on the subject!

22 Conclusion The ATLAS experiment has entered its new stage of development, the long-term stage of making physics – JINR again has to be in time and in good shape. JINR preparations for ATLAS data taking and data analysis are under way. Concrete tasks for coming years (in the Early ATLAS physics and related activities) of ATLAS-JINR team were presented. We will intensively use several months before the LHC collisions to get ready for the first ATLAS events. We appreciate substantial support from our LIT colleagues. Their efforts and achievements make foundation of ATLAS activities at JINR. 22 22

23 Backup Slides

24 The main JINR’s (responsibilities) achievements within the ATLAS project were presented by N.Russakovich at previous PAC ( ): Production of 84 Muon (MDT) chambers and mechanical supports (by DLNP) Production of 25 and assembly of 20 sectors of the Hadronic End Cap LAr Calorimeter (by former LPP and DLNP) Production and assembly of the Tile Calorimeter Barrel (DLNP) Production of 17 B-wheels of the Transition Radiation Tracker (LPP) Radiation Hardness of electronics and detector components (FLNP, LPP, DLNP) Participation in the development of DAQ and SC systems (LIT) Calculations of magnetic fields and forces ( (DLNP) Temperature measuring system in the LAr cryostats ( (LPP and DLNP) Physics program and software development ( (all above and BLTP) Common Projects ( (JINR management and Workshop)

25 Operation Task Sharing ATLAS Strategy
Operation tasks, needed to operate/maintain the ATLAS detector, including triggering, off-line processing and data preparation, will be allocated to an Institution according to the number of ATLAS authors in that Institution. The Operation Tasks are now subdivided into two categories: Category 1 is composed of shift tasks and on-call tasks crucial for the daily running of the experiment, during critical periods such as LHC operation and pre-beam cosmic/test runs organized by Run Coordination. (10%-15% of total OT). Category 2 is all other operation tasks. The practical implications of the new rules are the following. Each Institution must contribute to control room shifts and/or on-calls. The number of shifts or on-calls required from each Institution is calculated based on the estimated number of shifts / on-calls for 2009 and each Institution's OT share. An Institution cannot avoid doing shifts or on-calls (Category 1) by contributing to another type of Operation Task (i.e. Category 2). Thanks to A. Cheplakov

26 Technical work does not include: Doing physics analysis.
THE RULE: To be an Author one has to spent at least 80 days and at least 50% of available research time during the year doing ATLAS Technical Work: Working on the design, construction, installation or commissioning of ATLAS, including upgrades. Running, servicing and maintaining the detector, including work during shut-downs and work on detector calibration. Participating in ATLAS Test-beam work, either in the preparation, running or data analysis. Working on the On-line or Off-line ATLAS Software: developing code of general use, as opposed to code intended purely for physics analysis by a few individuals. Running and overseeing ATLAS software: running Monte Carlo production or running/overseeing data processing. Taking shifts or work resulting from being on-call for a subsystem. Working on managerial and administrative tasks for ATLAS, including serving on ATLAS committees or acting as a Physics Convener. Managing an ATLAS group in an Institution. Technical work does not include: Doing physics analysis. Contributing to physics papers or participating in physics meetings. Supervising others doing physics analysis, other than as the convener of an ATLAS physics group.

27

28 Dubna group ALREADY has detailed simulations within the ATLAS framework, with early data we are ready to make a paper on the subject! A draft of the Scientific Paper Is already waiting for the first ATLAS Data ...


Download ppt "for ATLAS data taking and data analysis"

Similar presentations


Ads by Google