Research Computing Brownbag:
Improving Data Collection with Custom
Computing Resources
Friday, September 12, 2008
10-11:45 a.m.
1610 Engineering Hall
Video Stream of event.
PowerPoint Slides
Virtually every experiment can be improved by increasing the amount of data that is collected. In the atomic quantum computing lab here at UW Madison, we have been able to increase our data collection rates by many times through the use of custom software and hardware. Automating data collection reduces down time during an experiment. Real-time analysis allows for faster correction of errors. Network publishing improves collaboration efficiency. Custom sensors and filters increase data quality. Environmental monitoring reduces time lost to poor lab conditions. These methods are generally applicable to a wide variety of experiments. This talk will cover what we've done and how other graduate students and researchers can implement similar solutions to increase and improve their data output.
Speaker
Thomas Henage
Thomas Henage received his undergraduate degree in Physics from Harvey Mudd College in 2004. Since then, he's been working as a graduate student with Thad Walker and Mark Saffman here at UW Madison on neutral atom quantum computing, specializing in composite pulse techniques. Thomas also develops and maintains the data acquisition software and the environmental monitoring system. He and his wife are the parents of three children.
Any questions may be directed to Hideko Mills or Steve Krogull