the romanian atlas cluster - cern indico

The Romanian ATLAS cluster

J. Maurer (IFIN-HH, Bucharest), on behalf of the group

RECFA visit to Romania, Bucharest,March 23, 2018

ATLAS Romania March 23, 2018 1 / 27

Contributing institutes


Who are we?

IFIN ITIM UPB UAIC UVT UTB

67 = 27 21 8 5 1 6

17 ATLAS authors, 5 more qualifying

Team leader: Calin Alexa (IFIN-HH)

Annual cluster meetings (history) organizedconjointly with outreach activities

IFIN-HHBucharest

ITIMCluj-Napoca

Transilv. Univ.Brasov

West Univ.Timisoara

A. I. Cuza Univ.Iasi

Politehn. Univ.Bucharest

TileCaloperation

NSW R&D

NSW R&D

TDAQ

Physicsanalysis

Datapreparation

Post-graduation perspectives:

M. Cuciuc (2012): IFIN-HH, ELI-NP

V. Tudorache (2012): IFIN-HH, ATLAS

R. Paun (2012): unknown

A. Tudorache (2012): IFIN-HH, ATLAS

C. Lefter (2013): industry (IBM)

M. Ciubancan (2014): IFIN-HH,computing

A. Jinaru (2014): IFIN-HH, ATLAS

A. Chitan (2014): IFIN-HH, ATLAS

O. Ducu (2015): Montreal Univ.,postdoc, on LoA from IFIN-HH


https://indico.cern.ch/category/5169

By sector of activity


What do we do?

Data analysis Detector Misc.

Combinedperformances Electrons

Taus

Beam bkg

Physicsanalyses SUSY

Generalsearch

Top quarkcouplings

OperationData pre-paration

Shifts,on-call

TDAQ

Upgrade Tile calo-rimeter

MuonNSW

Physicscase

Software Core

Analysistools

ComputingTDAQsysadmin

WLCGgrid

Local re-sources

Outreach


Direct searches for BSM physics

Cascade decays of the superpartners of gluons andquarks into final states with lepton(s), hadronic jets,and often missing momentum:

q̃

q̃

χ̃±1χ̃∓1

p

p

q′

χ̃01

W±

q′

χ̃01

W∓

g̃

g̃

t̃

t̃

p

p

t

χ̃01

t

t

χ̃01

t

g̃

d̃R

d̃R

p

p

λ′′321t̄

s̄

t̄

s̄

Phys. Rev. D 96 (2017) 112010, JHEP 09 (2017) 084. . .

1b5j

µ1m

iss

TE

1b6j

µ1m

iss

TE

1b7j

µ1m

iss

TE

2bµ1m

iss

TE

2b1j

µ1m

iss

TE

2b2j

µ1m

iss

TE

2b3j

µ1m

iss

TE

2b4j

µ1m

iss

TE

2b5j

µ1m

iss

TE

2b6j

µ1m

iss

TE

3bµ1m

iss

TE

3b1j

µ1m

iss

TE

3b2j

µ1m

iss

TE

3b3j

µ1m

iss

TE

3b4j

µ1m

iss

TE

γ1µ1m

iss

TE

1jγ1µ1m

iss

TE

2jγ1µ1m

iss

TE

3jγ1µ1m

iss

TE

4jγ1µ1m

iss

TE

5jγ1µ1m

iss

TE

1bγ1µ1m

iss

TE

1b1j

γ1µ1m

iss

TE

1b2j

γ1µ1m

iss

TE

1b3j

γ1µ1m

iss

TE

1eµ1m

iss

TE

1e1j

µ1m

iss

TE

1e2j

µ1m

iss

TE

1e3j

µ1m

iss

TE

1e4j

µ1m

iss

TE

1e5j

µ1m

iss

TE

1e1b

µ1m

iss

TE

1e1b

1jµ1

mis

sT

E1e

1b2j

µ1m

iss

TE

1e1b

3jµ1

mis

sT

E1e

1b4j

µ1m

iss

TE

1e2b

µ1m

iss

TE

1e2b

1jµ1

mis

sT

E1e

2b2j

µ1m

iss

TE

1e2b

3jµ1

mis

sT

E1e

2b4j

µ1m

iss

TE

γ1e

1µ1

mis

sT

E1jγ

1e1

µ1m

iss

TE

1bγ1e

1µ1

mis

sT

E2eµ1

mis

sT

E2e

1jµ1

mis

sT

E2e

2jµ1

mis

sT

Eµ2

mis

sT

E1jµ2

mis

sT

E2jµ2

mis

sT

E3jµ2

mis

sT

E4jµ2

mis

sT

E5jµ2

mis

sT

E1bµ2

mis

sT

E1b

1jµ2

mis

sT

E1b

2jµ2

mis

sT

E1b

3jµ2

mis

sT

E1b

4jµ2

mis

sT

E2bµ2

mis

sT

E2b

1jµ2

mis

sT

E2b

2jµ2

mis

sT

E2b

3jµ2

mis

sT

E1eµ2

mis

sT

E1e

1jµ2

mis

sT

E1e

2jµ2

mis

sT

E1jµ3

mis

sT

E2jµ3

mis

sT

E

Eve

nts

1

10

210

310

410Data 2015 3-/4-top Higgs +Z/W/WWtt γ+tt single top

di-/triboson )γ(γZ/W+ +jetstt )+jetsγ(γ Z/W+jets multijets

ATLAS Preliminary-1 = 13 TeV, 3.21 fbs

+ (multi-)lepton (2/2)TmissE

(all objects) [GeV]invm200 400 600 800 1000 1200

Eve

nts

1−10

1

10

210ROI:DATA 0

2.29±BKG 4.55 -VALUE 0.0820P

Data 2015 Total SM

di-/triboson )γ(γZ/W+

Z/W+jets Other

-1 = 13 TeV, 3.21 fbs

Channel: 3e

ATLAS Preliminary

(all objects) [GeV]invm200 400 600 800 1000 1200

Dat

a / M

C

01234

)min

(p10

-log0 1 2 3 4 5 6 7 8

Fra

ctio

n of

pse

udo

expe

rimen

ts

0.0

0.2

0.4

0.6

0.8

1.0

σ1 σ2 σ3 σ4 σ5

pseudo experiments 1 class≥SM-only,

= 9.54 fbZ'σ = 2 TeV, Z'

SM + Z', m

= 0.816 fbZ'σ = 3 TeV, Z'

SM + Z', m

= 0.00852 fbZ'σ = 4 TeV, Z'

SM + Z', m

ATLASSimulation Preliminary

invvariable: m

Model-independent search: events classified intohundreds of classes depending on their particlecontent (leptons, light/b-tagged jets, photons,missing momentum), looking for deviations in thetails of scale variables

ATLAS-CONF-2017-001, ATLAS-CONF-2014-006. . .


Indirect searches: top quark couplings

Heavy BSM fields can modify the low-scale couplings of topquarks to e.g. Higgs bosons, or increase FCNC rates⇒ crucial to measure these couplings!

Measurement of the pp → tt̄H cross-section:

t̄

b̄

W−

W+

t

b

H

W/Z

W/Z

g

g

t

t̄

=125 GeVH

for mHtt

µBestfit

2− 0 2 4 6 8 10 12

combined

2ℓSS

3ℓ

2ℓSS + 1τhad

3ℓ + 1τhad

4ℓ

1ℓ + 2τhad

2ℓOS + 1τhad

0.4−

0.5+1.6 0.3−

0.4+ 0.3−

0.3+ ( , )

0.6−

0.7+1.5 0.4−

0.5+ 0.4−

0.4+ ( , )

0.7−

0.9+1.8 0.5−

0.6+ 0.6−

0.6+ ( , )

1.3−

1.7+3.5 0.5−

0.9+ 1.2−

1.5+ ( , )

1.3−

1.8+1.6 0.2−

0.6+ 1.3−

1.7+ ( , ) 0.9−

1.3+0.5 0.3−

0.2+ 0.8−

1.3+ ( , )

1.5−

1.6+0.6 1.3−

1.1+ 0.8−

1.1+ ( , )

1.9−

2.1+1.7 1.1−

1.4+ 1.5−

1.6+ ( , )

Tot. ( Stat. , Syst. )Tot. Stat.

ATLAS 1=13 TeV, 36.1 fbs

E.g. in the MSSM:

2ℓSS 3ℓ SR 3ℓ t t̅ W CR3ℓ t t̅ Z CR

3ℓ VV CR3ℓ t t̅ CR

2ℓSS+1τhad

3ℓ+1τhad4ℓ Z−enr.

4ℓ Z−dep.1ℓ+2τhad

2ℓOS+1τhad

Data

/ P

red.

0.5

0.75

1

1.25

1.5

Eve

nts

/ b

in

1−10

1

10

210

310

410

510

ATLAS1 = 13 TeV, 36.1 fbs

PreFit

Data Htt

Wtt Ztt

Diboson Nonprompt

misidq Other

hadτFake Uncertainty

1712.08891 [hep-ex], submitted to PRD

similar analysis to measure B(t → Hc) (to appear)


Object reconstruction performances

In situ measurements of electron reconstruction and identification efficiencies⇒ fiducial cross-section measurements, validation of the detector simulation

K.#Brendlinger WZ#Overlap#Removal#Studies 4

d

F

0

beam axis

beam spot

pixelsSCT

TRT (72 layers)

first layer (strips)

second layer

third layer

φ

η

hadronic calorimeter

electromagnetic calorimeter

R

R

insertable b-layer

HTη

φ

presampler

electromagnetic calorimeter

second layer

first layer (strips)

presampler

third layer hadronic calorimeter

Rφ

Rη

TRT (72 layers)

SCTpixels

insertable b-layer

beam spot

beam axis

d0

eProbabilityHT

η

φ

∆η×∆φ = 0.0031×0.098

∆η×∆φ = 0.025×0.0245

FHT

TRT pe/(pe+pπ)TRT pe/(pe+pπ)

TRT PID

[GeV]eem

60 80 100 120 140

Ent

ries

/ GeV

1

10

210

310

410

510 Data, all probes Quality-Track Bkg No-Quality Bkg

ee MC→ Z Clusters with no track Sideband fit Total expected

PreliminaryATLAS-1=13 TeV, 3.2 fbs

< 45 GeVT40 GeV < E < 1.15η0.80 <

Effi

cien

cy

0.95

0.96

0.97

0.98

0.99

1ATLAS Preliminary

-1 = 13 TeV, 43.8 fbs

<2.47η-2.47<

Electron reconstruction

Data MC

[GeV]TE

20 40 60 80 100 120 140

Dat

a / M

C

0.99

0.995

1

1.005

1.01

ATLAS-CONF-2016-024, Eur. Phys. J. C 77 (2017) 195. . .

More recently also contributing to the study of tau leptons: maintenance of the commonanalysis software used for performance studies and for several physics analyses


Non-collision background

Real-time monitoring of beam-induced background via BCM + LUCID detectors

Offline analysis from events recorded in non-colliding proton bunches, simulation(FLUKA) and development of tagging tools relying on detector information

[m]segx

-4 -3 -2 -1 0 1 2 3 4

[m]

seg

y

-4

-3

-2

-1

0

1

2

3

4

0

20

40

60

80

100

120

ATLAS

jetη

-3 -2 -1 0 1 2 3

[ns]

jet

t

-30

-20

-10

0

10

20

30

0

20

40

60

80

100

120

140ATLAS

(source: JINST 8 (2013) P07004)


Data preparation

Run Time Tests for (1) online monitoring software (2) derivation framework⇒ automatic comparisons of many reconstructed objects for each update of thesoftware, or between different development branches (online/offline)


Trigger and Data AcQuisition

Visualization ofdata-taking informationstored in the COOLdatabase: timeline,efficiency, sources of lossesper subsystem. . .

Day in 2016

18/04 16/05 13/06 11/07 08/08 05/09 03/10 31/10

Rec

ordi

ng E

ffici

ency

[per

cent

]

60

70

80

90

100

110

120 = 13 TeVs ATLAS Online

Total Efficiency: 92.4%

(source: ATLAS-PHO-TRIDAS-2014-001-1)

Also providing sysadminsupport for the ATLAStrigger computer farm:state monitoring, nodesmaintenance, on-call


Upgrade activities

Tile calorimeter (Phase I consolidation,Phase II)• Improved housing of the on-detectorread-out electronics and services• New mechanical structure will facilitateinsertion/extraction⇒ production in Romania

Muon spectrometer (TDAQ) (Phase I)• New Small Wheels will replace existingSmall Wheels to improve trigger perfs• Design of new read-out electronics


NSW read-out chain


NSW TDAQ “Address in Real Time” (ART) ASIC

Receives locations of first micromegas striphit from 32 VMMs (64 strips each), choosesup to 8 hits and sends to trigger processor

130 nm CMOS, radiation-hard

Design and testing: IFIN-HH

Final major incremental version of the chiphas just been produced, testing pending


NSW TDAQ “ReadOut Controller” (ROC) ASIC

Interfaces 8 VMMs with the read-out system, buffers andtransmits full data if accepted by L1 trigger

Design: Transilv. Univ. (Brasov) + IFIN-HHTesting: same + ITIM (Cluj)

Same technologies as the ART


Other developments for the NSW TDAQ (Phase I)

VMM-3 front-end ASIC: digital core withbuffer holding data during Level 0 triggerlatency (< 16µs) + event builder.

Design: IFIN-HH (the VMM itself isdeveloped by LBNL)

Mezzanine boards hosting the triggerprocessor FPGAs and optical transmitters,ATCA-SRS techonology (RD51)

Design: Samway (Bucharest) + IFIN-HH,production (prototypes): Samway

Also design and future production of newATCA carrier boards


SRS: from RD51 to ATLAS NSW

Scalable Readout System (SRS) developedin the RD51 collaboration (WG5) forfast/flexible readout of micro gas detectors

Key contribution from IFIN-HH

Now, knowledge transfer to industry:

Pursuing study of micromegas detectors:integration in Geant4 by adding analytic

models to simulate avalanche and induction

Rom. J. Phys. 63 (2018) 902


NSW TDAQ Phase II upgrade: trigger processor

For Phase II, capitalizing on the expertise and collaborationtrust gained with the Phase I R&D projects

Commitment to the development of the new trigger processor:


Tile calorimeter Phase II upgrade

Complete replacement of the services and read-out electronics (end of life).

Mechanical structure hosting the PMTs, electronics and services improved as well: moreindependent, easier-to-service, mini-drawers (four per 3m-long superdrawer)


Tile Phase II upgrade: mini-drawers

Major contribution from ITIM (Cluj) to themechanical design and prototyping, futureproduction, assembly, testing and installation

Technical Design Report chapters (mechanics,assembly, installation) elaborated by ITIM authors

Custom set of tools formanipulation/insertion/extractionof the mini-drawers (22.5 kg):


Tile Phase II upgrade: testing and assembly

Aging + corrosion tests of the hydraulicconnectors:

Mini-drawer assembly line (prototype):

Test bench for the cooling circuit:

Test bench for super-drawers certification:


Tile Phase II upgrade: services

R&D for internal HV regulation option:

Cooling hoses:

Cables (+ tester) for LV power supplies:

Optical links for DAQ:


Funding of Phase II upgrade projects

We are bringing important and visible contributions to the Phase II upgradeprograms of the Tile calorimeter and the muon NSW (TDAQ)

These are the result of very active R&D efforts in the past years

The Memorandum of Understanding confirming our financial engagementsfor the Phase II upgrade program will be submitted for signature to thefunding agencies this year

The budget allocated to CERN projects in Romania in the next 3 years(current year included) has not yet been made official

We hope that we will be able to contribute our fair share to the ATLASPhase II upgrade, and pursue the projects we’re involved in

This also requires sufficient dedicated funding of the R&D and prototypingrequired by these projects, which is not financed by the ATLAS collaboration.


Computing: ATLAS-Romania WLCG sites

Romanian Tier-2 provided 1.5% of the total ATLAS CPU power(production and analysis) in the last 12 months

Perfs. (FR cloud):


Visibility of the group inside the ATLAS collaboration

ATLAS Week (Sibiu, 2014)∼ 230 participants

SUSY/Exotics workshop (Bucharest, 2017)∼ 260 participants

Appointments: member of the Collaboration Board Chair Advisory Group, Tile upgrademechanics coordinator, derivations production coordinator, SUSY strong prod. subgroupconvener, 3 members of Editorial Boards. . .


Outreach activities

the activities rely on the core ATLAS budget, as there is no dedicated funding.

Outreach in high schools.In particular, IPPOG masterclassesorganized in Cluj (2018), Iasi (2017),Brasov (2016), Timisoara (2015). . .

Seminars in universities or public locations (e.g. Christmas lectures organizedsince 2013 in the Bucharest Atheneum)

Presence in science-aimed events (e.g. yearly “Researcher’s Night”)

Interventions in various medias

Non-exhaustive list of activities here


https://indico.cern.ch/category/4979

(Annual ATLAS Romania meeting, Cluj-Napoca, 2018 March 16th)


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