Data acquisition for the new muon g-2 experiment at Fermilab
Abstract
A new measurement of the anomalous magnetic moment of the muon, aμ ≡ (g - 2)/2, will be performed at the Fermi National Accelerator Laboratory. The most recent measurement, performed at Brookhaven National Laboratory and completed in 2001, shows a 3.3-3.6 standard deviation discrepancy with the Standard Model predictions for aμ. The new measurement will accumulate 21 times those statistics, measuring aμ to 140 ppb and reducing the uncertainty by a factor of 4. The data acquisition system for this experiment must have the ability to record deadtime-free records from 700 μs muon spills at a raw data rate of 18 GB per second. Data will be collected using 1296 channels of μTCA-based 800 MSPS, 12 bit waveform digitizers and processed in a layered array of networked commodity processors with 24 GPUs working in parallel to perform a fast recording and processing of detector signals during the spill. The system will be controlled using the MIDAS data acquisition software package. Lastly, the described data acquisition system is currently being constructed, and will be fully operational before the start of the experiment in 2017.
- Authors:
-
- Univ. of Kentucky, Lexington, KY (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1223217
- Report Number(s):
- FERMILAB-CONF-15-223-PPD
Journal ID: ISSN 1742-6588; arXiv eprint number arXiv:1506.00608
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 664; Journal Issue: 8; Conference: 21. International conference on computing in high energy physics (CHEP 2015), Okinawa (Japan), 13-17 Apr 2015; Related Information: J.Phys.Conf.Ser. 664 (2015) no.8, 082014; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Citation Formats
Gohn, Wesley. Data acquisition for the new muon g-2 experiment at Fermilab. United States: N. p., 2015.
Web. doi:10.1088/1742-6596/664/8/082014.
Gohn, Wesley. Data acquisition for the new muon g-2 experiment at Fermilab. United States. https://doi.org/10.1088/1742-6596/664/8/082014
Gohn, Wesley. Wed .
"Data acquisition for the new muon g-2 experiment at Fermilab". United States. https://doi.org/10.1088/1742-6596/664/8/082014. https://www.osti.gov/servlets/purl/1223217.
@article{osti_1223217,
title = {Data acquisition for the new muon g-2 experiment at Fermilab},
author = {Gohn, Wesley},
abstractNote = {A new measurement of the anomalous magnetic moment of the muon, aμ ≡ (g - 2)/2, will be performed at the Fermi National Accelerator Laboratory. The most recent measurement, performed at Brookhaven National Laboratory and completed in 2001, shows a 3.3-3.6 standard deviation discrepancy with the Standard Model predictions for aμ. The new measurement will accumulate 21 times those statistics, measuring aμ to 140 ppb and reducing the uncertainty by a factor of 4. The data acquisition system for this experiment must have the ability to record deadtime-free records from 700 μs muon spills at a raw data rate of 18 GB per second. Data will be collected using 1296 channels of μTCA-based 800 MSPS, 12 bit waveform digitizers and processed in a layered array of networked commodity processors with 24 GPUs working in parallel to perform a fast recording and processing of detector signals during the spill. The system will be controlled using the MIDAS data acquisition software package. Lastly, the described data acquisition system is currently being constructed, and will be fully operational before the start of the experiment in 2017.},
doi = {10.1088/1742-6596/664/8/082014},
journal = {Journal of Physics. Conference Series},
number = 8,
volume = 664,
place = {United States},
year = {Wed Dec 23 00:00:00 EST 2015},
month = {Wed Dec 23 00:00:00 EST 2015}
}
Web of Science