ATLAS is a particle physics experiment taking place at the Large Hadron Collider at CERN, that searches for new particles and processes using head-on collisions of protons of extraordinary high energy. Petabytes of data were recorded, processed and analyzed during the first three years of data taking, leading to up to 300 publications covering all the aspects of the Standard Model of particle physics, including the discovery of the Higgs boson in 2012.
Large scale simulation campaigns are a key ingredient for physicists, who permanently compare their data with both "known" physics and "new" phenomena predicted by alternative models of the universe, particles and interactions. This simulation runs on the WLCG Computing Grid and at any one point there are around 150,000 tasks running. You can help us run even more simulation by using your computer's idle time to run these same tasks.
On this page you can see ATLAS monitoring of the tasks running on ATLAS@Home, as well as how ATLAS@Home ("BOINC") compares to the other sites on the WLCG.
The program you will download runs simulation software inside a virtual machine hosted by your computer. The virtual machine image is ~500MB but is only downloaded once. Each workunit downloads a small set of input data and runs for approx 1 to 2 hours depending on the computer's processor speed.
Please consult or post to the message boards to learn more about the work currently available or in case of problems.
The Physics of ATLAS@Home
No knowledge of particle physics is required, but for those interested in the physics processes simulated in ATLAS@Home as well as the ATLAS experiment itself visit the ATLAS web pages.
ATLAS@Home tasks progress, for each task (number of jobs done/total number of jobs):
- Task mc16_13TeV DP2500_3000.simul (11016767): 0/643
- Task mc16_13TeV bb_Jpsie3e8.simul (10995533): 963/19999
- Task mc16_13TeV bb_Jpsie3e3.simul (10995530): 1005/19996
- Task mc16_13TeV CTEQ6L1_Jpsie3e13.simul (10995528): 1021/20000
- Task mc16_13TeV CTEQ6L1_Jpsie3e8.simul (10995525): 1103/19930
- Task mc16_13TeV CTEQ6L1_Jpsie3e3.simul (10995522): 1176/20000
- Task mc16_13TeV DP3000_inf.simul (10995520): 443/637
- Task mc16_13TeV DP2000_2500.simul (10995517): 434/647
- Task mc16_13TeV DP1500_2000.simul (10995515): 479/643
- Task mc16_13TeV DYtautau_250M400.simul (10959636): 235/300
- Task mc16_13TeV DYtautau_180M250.simul (10947180): 2128/3000
- Task mc15_13TeV BFilter_ckkw30.simul (10165253): 58080/59999
- Read our rules and policies
- This project uses BOINC. If you're already running BOINC, select Add Project. If not, download BOINC.
- This project also requires
VirtualBox to be installed.
- Windows: VirtualBox is included in Windows distributions of Boinc and so does not have to be installed separately.
- Mac and Linux: VirtualBox must be installed separately
- VirtualBox 5.x is required. We have seen performance issues with older versions.
- After choosing Add Project in Boinc Manager, choose ATLAS@home from the list of projects
- Then either enter details for to set up a new account, or if you have previously registered enter the existing account details.
- A reasonably powerful modern 64-bit computer with at least 4GB of memory is required to run ATLAS@Home. Enabling 64-bit virtualisation may require some changes in BIOS settings.
- In Boinc Manger set the % of processors used to be at most 50%, otherwise your computer may run out of memory.
- The work units may use a lot of network bandwidth, so a slow internet connection may reduce work unit efficiency
- The work units contact servers at CERN and outside CERN. If you are behind a firewall you will need to open access to these servers. Please contact us for details.
- If you're running a command-line version of BOINC, create an account first.
- If you have any problems, get help here.
User of the day
Hi My nickname is Peluche, i am 25 years old. I was born and raised in Geneva, then i did my graduate studies in Paris. After 3 years in Zurich i've...
ATLAS/LHC consolidation is ready
After several months of extensive testing, we are now ready to complete the move to LHC@Home! The ATLAS app is now out of beta so we encourage you to start crunching ATLAS tasks on LHC. We do not plan to submit any more tasks to ATLAS@Home.
As stated earlier, credit will not be lost! We will move all the credit accumulated here to LHC@Home once all the remaining tasks are finished. To make this easier it would be very helpful if your email address you register with is the same on both projects, since this is the only way to match the accounts on each project.
In the LHC project preferences you can select which apps to run, so if you want to only run ATLAS then check the ATLAS box only.
There is an updated version of Yeti's checklist available, so please check this if you experience problems. There is also a dedicated message board for ATLAS.
Thank you for your crunching on ATLAS@Home over the years and we look forward to continued crunching on LHC! 21 Mar 2017, 9:00:17 UTC · Comment
As you may know we are working on putting all LHC-related projects under the combined LHC@Home project. The idea is to provide a single entry point for everyone who wants to participate in helping CERN research.
We have now set up a beta app for ATLAS on LHC@Home so we invite you to try it and provide feedback on the ATLAS message board. You need to enable beta apps in your project preferences to get these WU.
Currently the WU there are just for tests and we don't use the results but soon we will proceed with real WU. Once everything is working well there we will ask everyone to migrate over to LHC@Home and stop sending work to the ATLAS@Home project.
Credit will not be lost! We will move all the credit accumulated here to LHC@Home once all the remaining tasks are finished. To make this easier it would be very helpful if your email address you register with is the same on both projects, since this is the only way to match the accounts on each project.
Happy continued crunching,
The ATLAS@Home team 23 Jan 2017, 11:55:08 UTC · Comment
Thank you all for your contributions to ATLAS@Home this year! It is due to you that ATLAS@Home is one of the most important resources for ATLAS simulation. The project team wishes you a happy holiday and successful 2017!
Most of us will be away for the next two weeks so response to any problems will be slow. However we have loaded up the system with WU so hopefully there is enough to crunch on until the new year.
The project team 23 Dec 2016, 8:42:51 UTC · Comment
New single-core tasks
Thanks for all your feedback on the future of the single-core app. We have seen that it is useful to keep it, especially for less experienced volunteers who don't want to write xml files to configure how many tasks to run.
Therefore we are directing some of the multicore WU into the single core app. These WU will use only one core but process the same number of events (100) as the multicore WU, so will run for a few hours longer than the previous single-core WU.
We have also cancelled the remaining single-core WU which were faulty or stuck on non-responding hosts. Apologies if you were actively crunching one of those.
In addition we have applied the same restrictions to the single-core app as we have on the multicore app: the minimum version of virtualbox required is 5.0.0 and there is a check that virtualisation is possible on your PC before sending WU. So if you have an old virtualbox or a PC not configured for virtualisation then you will not receive any more WU. Please see Yeti's checklist for more information in case of problems.
Thanks again for your continued contribution! 22 Nov 2016, 20:44:43 UTC · Comment
Single core tasks finished
You may have noticed that there are no single core tasks left in the queue. This is deliberate as part of our aim to simplify things by having a single app which is multicore only.
We know that there are people who like to run only single-core WU but it is possible to run multicore WU in a single-core mode through the use of app_config.xml. (set
This is not a perfect solution so if there are serious objections to deprecating the single core app we can do some tricks to send multicore WU to the single core app which will then run in single-core mode. Please let us know what you think. 10 Nov 2016, 10:50:14 UTC · Comment
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