CERN Prototype Materials
Contents
Select Documents and Meetings
- Current (2015)
- Workup to the proposal
- DocDB 10385: Brief review of Computing Requirements for the test
- DocDB 10428: Draft proposal for the test and comments on the document
- Proposal
- DocDB 10715: The text of the proposal
- DocDB 11188: Presentation slides for the proposal
- Workup to the proposal
- History (2014)
- DocDB 9413: Expression of Interest.
- DocDB 8816: A collection of meeting materials.
- DocDB 9905: Meeting 10/29/2014.
- DocDB 9924: Task structure - meeting 10/31/2014.
- DocDB 9993: Early version of the proposed measurement program.
- LAGUNA/WA105
- LAGUNA/LBNO-Demo meeting (WA105 kickoff) - see the software session
- WA105 Proposal to CERN SPSC
- History (2013)
Appendix I
An early example of the measurements program
Particle Type | Momentum Range (GeV/c) | Bin (MeV/c) |
---|---|---|
p | 0.1-2.0 | 100 |
p | 2.0-10.0 | 200 |
π± | 0.1-2.0 | 100 |
π± | 2.0-10.0 | 200 |
μ± | 0.1-1.0 | 50 |
μ± | 1.0-10.0 | 200 |
e± | 0.1-2.0 | 100 |
e± | 2.0-10.0 | 200 |
K+ | 0.1-1.0 | 100 |
γ(π0) | 0.1-2.0 | 100 |
γ(π0) | 2.0-5.0 | 200 |
Appendix II
The detector characterization includes a few distinct areas, and the goals of measurements in each affect the desired statistics. A few items are presented below.
Energy Scale and Resolution
In terms of detector characterization, some of the important parameters include energy scale and resolution for both single tracks and showers - hadronic and EM. Let's consider them first (using comments from T.Junk):
- Energy scale: for Gaussian distribution, uncertainty will be sigma/sqrt(n). Assuming resolution of 1%, and aiming for ±0.1% precision, only 100 events would be needed.
- Hadronic showers: older calorimeters had resolution of 80%/sqrt(E). Since sampling fraction in LAr TPC is higher, we are likely to do better than this, but still conservatively assume O(10%)/sqrt. Qualitatively, we can follow arguments similar to the previous item. It follows then that O(103-104) events will be enough for the purposes of this measurement. Indeed, looking at typical test beam and calibration practices (per papers published), we see that 104 events is the typical statistics for a given incident beam momentum.
In summary, depending on case, this part of the measurement program can be accomplished with event sample of the size ~O(103-104), and in some cases less.
PID
Measuring the "fake" rate, i.e. particle mis-identification, is important for certain physics to be addressed by the experiment (cf. proton decay). If the probability of mis-PID is "p", then the statistical uncertainty can be expressed as sqrt(p*(1-p)/n). This can also be understood in terms of precise measurements of "tails" in certain distributions. If we are looking at probabilities of mis-identification of the order of 10-6, this translates into quite substantial statistics. At the time of writing, we need more guidance in this area, but in general it appears that in this case we would indeed be motivated to take as much data as practically feasible. This does mean that we will aim to take a few million events in each of a few momentum bins (TBD). Reading: Nucleon Decay Searches
Systematics
Let's assume we want to measure a signal with 5% precision and signal to background ratio is 1:10. To provide this scale of accuracy, we will need ~105 events in the momentum bin of interest.
Appendix III
DAQ references
Note: some of these links may be restricted to users associated with respective LHC experiments. This will be resolved at a later date (i.e. relevant and public information extracted, reduced and systematized).
Data Storage Links
General CERN Storage Info
- In early 2000s, the CASTOR system was deployed at CERN which provides front-end to mass storage, in the form of both tape and disk pools. In early 2010s, the disk pools were largely migrated to EOS, a newer and high-performance system based on XRootD which has better functionality for managing large disk pools. CASTOR is still used for custodial data on tape.
- Overview of LHC storage operations at CERN
- CASTOR
- Technology and Storage Infrastructure group at CERN
- CDR (Central Data Recording, not to be confused with Conceptual Design Report)
EOS
- Setting up EOS
- Beginner's EOS Tutorial
- A helpful page on EOS basics
- Yet another set of examples
- Using EOS CLI:
- At CERN: source /afs/cern.ch/project/eos/installation/[atlas|cms|lhcb|alice]/etc/setup.sh
bash-4.1$ more /afs/cern.ch/project/eos/installation/atlas/etc/setup.sh # source me alias eos="/afs/cern.ch/project/eos/installation/0.3.84-aquamarine/bin/eos.select" alias eosumount="/afs/cern.ch/project/eos/installation/0.3.84-aquamarine/bin/eos.select -b fuse umount" alias eosmount="/afs/cern.ch/project/eos/installation/0.3.84-aquamarine/bin/eos.select -b fuse mount" alias eosforceumount="killall eosfsd 2>/dev/null; killall -9 eosfsd 2>/dev/null; fusermount -u "
- Run "eos"
- Now you can use EOS CLI commands, e.g.: ls /eos/atlas/atlasdatadisk/rucio/data15_13TeV/ab/f4
- EOS CLI list of commands:
access Access Interface archive Archive Interface attr Attribute Interface backup Backup Interface clear Clear the terminal cd Change directory chmod Mode Interface chown Chown Interface config Configuration System console Run Error Console cp Cp command debug Set debug level dropbox Drop box exit Exit from EOS console file File Handling fileinfo File Information find Find files/directories fs File System configuration fsck File System Consistency Checking fuse Fuse Mounting group Group configuration help Display this text io IO Interface json Toggle JSON output flag for stdout license Display Software License ls List a directory map Path mapping interface mkdir Create a directory motd Message of the day node Node configuration ns Namespace Interface pwd Print working directory quit Exit from EOS console quota Quota System configuration reconnect Forces a re-authentication of the shell recycle Recycle Bin Functionality rmdir Remove a directory rm Remove a file role Set the client role rtlog Get realtime log output from mgm & fst servers silent Toggle silent flag for stdout space Space configuration stat Run 'stat' on a file or directory test Run performance test timing Toggle timing flag for execution time measurement transfer Transfer Interface version Verbose client/server version vid Virtual ID System Configuration vst Virtual Storage Interface whoami Determine how we are mapped on server side who Statistics about connected users ? Synonym for `help' .q Exit from EOS console
- Direct xrootd-based copy in Linux shell (example): xrdcp root://eosatlas//eos/atlas/atlasdatadisk/rucio/data15_13TeV/ab/01/NTUP_TRIGRATE.05805712._003841.pool.root.1 .
Misc
- ATLAS Storage at CERN (main link)
- ATLAS Migration of disk pools from CASTOR to EOS
- ATLAS documentation - Tier-0 expert on call notes
- General description of ATLAS - some basic data rates references
- Some Older but informative links