1. DPG Activities DPG Session, ALICE Monthly Mini Week
DPG, ALICE Monthly Mini-Week

2. DPG, ALICE Monthly Mini-Week
Outline
Data Processing Status
MC Productions
Analysis QA train
Validation of HLT new CF
Ongoing DPG Developments
DPG, ALICE Monthly Mini-Week

3. DPG, ALICE Monthly Mini-Week
DPG Overview
DPG aims at data validation and certification, including:
Data preparation (RAW + MC)
production configuration, setup, calibration monitoring
Data processing
monitoring, execution, reporting, bug tracking QA
validation, good run lists, RCT
DPG, ALICE Monthly Mini-Week

4. Overview of 2017 Data Reconstruction following the last APW, Mar’17
DPG, ALICE Monthly Mini-Week

5. Overview of 2017 Data Reconstruction following the last APW, Mar’17
Feb → May
DPG, ALICE Monthly Mini-Week

6. Data Processing Workflow
Data processing (JIRA request)
cpass0/cpass1
10 % QA
JIRA: manual calibrations → Check- box list
JIRA: QA
PPass
Final QA
QA feed-back table
RCT flags
Good runlist in DPG twiki
… ANALYSIS
All production scripts have been relocated to AliDPG
QA is anticipated immediately as data processing starts +
The execution thresholds have been updated to make sure QA is reached only on good reco rates
CPass0 → CPass1 - 90%, CPass1 → QA - 90%, PPass1 → QA - 95%
Large team of people contributing to this chain
DPG, ALICE Monthly Mini-Week

7. MC Processing Workflow
… Data processing
- DPG good runlist
General purpose MC
10% QA detectors + analysis
Full processing
Final detector QA
QA feed-back table
Dedicated PWG productions P1, P2...
Analysis QA
DPG, ALICE Monthly Mini-Week

8. MC Production in setup stage SQM/EPS following QM`17 campaign
PWG - specific production always needs a General-Purpose MC for QA and validation of MC settings
Proposal being discussed with PB:
Define default setting for Gen Purp MC (generator, sampling – minimum number of events to allow QA
NB. Productions can always be extended at a later stage with more statistics if needed
DPG, ALICE Monthly Mini-Week

9. DPG, ALICE Monthly Mini-Week
MC Productions Status
In progress
13 TeV (16k, l)
HF – 10% QA
General purpose p-Pb productions
Restarted several times (TPC, T0 OCDB uploads)
Split by period/reco type/dataset – 18 sub- cycles
Close to 10% detector QA
Dedicated PWG p-Pb productions
In setup
Large GA/JE production 15o
35 Mio MB events produced
General purpose 13 TeV productions
In setup
Anchored to recently processed data 16f, I
Development
G4 production
2 test sub-cycles with old/new AliRoot
Factor 2 increase in time/evt wrt G3 – needs to be investigated
MC-to-MC embedding production
Testing ongoing
Approach (received a lot of useful feed-back during Offline week) – details next slides
Aimed for the next Pb-Pb run in 2018
DPG, ALICE Monthly Mini-Week

10. DPG, ALICE Monthly Mini-Week
MC-to-MC Embedding
BKG1
SIG
Event 1
BKG2
Event 2
BKG3
Event n +
...
Maximum TTL
Standard way
BKG
SIG
Event 1
Event 2
Event n +
...
Maximum TTL
n times
New approach
Significant time reduction factor – MB events – central events – output size
How many times a BKG event can be reused
Implemented in AliDPG following at large extent the work of PWGPP-mc
DPG, ALICE Monthly Mini-Week

11. MC Production Workflow
Statement
Custom Generator Configurations (aka CGC) are going to be stored in $ALIDPG_ROOT/MC/CustomGenerators, where all PWGs have a dedicated sub-directory,
e.g, for the case of DQ, the configurations will be stored in independent files under $ALIDPG_ROOT/MC/CustomGenerators/PWGDQ.
On the dpgsim.sh side, loading of a specific configuration is done via --generator PWGDQ:MyGenerator, which will load the configuration from $ALIDPG_ROOT/MC/CustomGenerators/PWGDQ/MyGenerat or.C file. This file has to comply with the GeneratorCustom.C format.
MC productions opened for PWG on github being exercised via pull requests (to be validated by PWGs in the future)
github stats
DPG, ALICE Monthly Mini-Week

12. DPG, ALICE Monthly Mini-Week

13. DPG, ALICE Monthly Mini-Week
Analysis QA Train
DPG, ALICE Monthly Mini-Week

14. DPG, ALICE Monthly Mini-Week
HLT new CF validation
Ongoing joint effort of BTG+TPC+DPG
Motivation
Improved rejection of noise clusters heavily seen in 2016, maintaining the current physics performance
Performance could indeed slightly improve, because noise clusters could disturb tracking
Improved compression algorithm using track model compression, data format improvement, arithmetic encoding
DPG, ALICE Monthly Mini-Week

15. DPG, ALICE Monthly Mini-Week
Summary
DPG is working on the next goals, after QM campaign
Manpower always welcome!
New tools provided to the analyzers to understand and deal with the data
New Twiki’s always available
Data reconstruction focused on 2016 and 2015 pp data samples till 2017 data taking starts
QA activities will be very high – need responsive and well- organized QA experts
QA status, RCT development, covered into next talk
Monte Carlo focusing on p-Pb and pp simulations for next conferences
Development of MC-to-MC embedding targeted at next Pb-Pb campaign
HLT new CF being validated
QA tools high activity, will be summarized in this session
AOT/EP activities continue to develop, summarized in this session
DPG, ALICE Monthly Mini-Week

16. DPG, ALICE Monthly Mini-Week
DPG Material: TWiki
DPG, ALICE Monthly Mini-Week

17. DPG, ALICE Monthly Mini-Week
THANK YOU!
DPG, ALICE Monthly Mini-Week