Featured Research

from universities, journals, and other organizations

'Deep learning' makes search for exotic particles easier: New computing techniques could aid hunt for Higgs bosons

Date:
July 2, 2014
Source:
University of California - Irvine
Summary:
Fully automated 'deep learning' by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists' abilities, according to new findings.

Fully automated "deep learning" by computers greatly improves the odds of discovering particles such as the Higgs boson, beating even veteran physicists' abilities, according to findings by UC Irvine researchers published today in the journal Nature Communications.

"We are thrilled with the publication of our work," said co-author Pierre Baldi, Chancellor's Professor of computer science, "and even more so with the hope that deep learning may help solve fundamental open questions about the nature of matter, gravity and the origin of the universe."

Baldi, along with computer science Ph.D. student Peter Sadowski and associate professor of physics & astronomy Daniel Whiteson, found quicker, more efficient ways to analyze data obtained from particle accelerators/colliders to better detect rare particles.

The Higgs boson -- first theorized in 1964 and whose existence was finally confirmed in 2012 at the massive, underground Large Hadron Collider near Geneva, Switzerland -- could help explain why some particles have mass, among other primary questions of physics. Finding these particles requires sorting out relevant data from huge amounts of background noise; machine learning techniques are already used in analyzing these sets of "big data."

"Machine learning is a branch of computer science where, rather than computers being programmed to do a difficult task, computers learn automatically from examples," Baldi explained. "It's very difficult to write from scratch a program that can recognize elephants in images -- or Higgs bosons in collider data. But we can provide to the computer many examples of images with and without elephants, or accelerator data with and without Higgs bosons, and let the computer learn automatically from these examples."

Currently, physicists devise by hand mathematical formulas that they apply to the data to derive the features they're looking for, which are then fed to machine learning programs. By employing recent advances in deep learning, in which computers learn automatically at multiple processing levels, the UCI team eliminated the need for the time-consuming manual creation of those formulas in the search for these fleeting particles -- which don't even exist in our universe under normal conditions.

"These new, smarter deep learning networks have shown themselves to be better at finding hints of new particles than past machine learning methods -- and than physicists with years of experience," Whiteson said. "They don't need any help from human insight, achieving a level of automatic learning which has been a long-standing goal in high-energy physics."

In computer experiments using carefully structured simulated data, the UCI researchers' methods resulted in a statistically significant 8 percent increase in the detection of these particles.

The techniques could be employed in experiments scheduled for 2015 at the Large Hadron Collider, Baldi said.


Story Source:

The above story is based on materials provided by University of California - Irvine. Note: Materials may be edited for content and length.


Journal Reference:

  1. P. Baldi, P. Sadowski, D. Whiteson. Searching for exotic particles in high-energy physics with deep learning. Nature Communications, 2014; 5 DOI: 10.1038/ncomms5308

Cite This Page:

University of California - Irvine. "'Deep learning' makes search for exotic particles easier: New computing techniques could aid hunt for Higgs bosons." ScienceDaily. ScienceDaily, 2 July 2014. <www.sciencedaily.com/releases/2014/07/140702093606.htm>.
University of California - Irvine. (2014, July 2). 'Deep learning' makes search for exotic particles easier: New computing techniques could aid hunt for Higgs bosons. ScienceDaily. Retrieved August 20, 2014 from www.sciencedaily.com/releases/2014/07/140702093606.htm
University of California - Irvine. "'Deep learning' makes search for exotic particles easier: New computing techniques could aid hunt for Higgs bosons." ScienceDaily. www.sciencedaily.com/releases/2014/07/140702093606.htm (accessed August 20, 2014).

Share This




More Computers & Math News

Wednesday, August 20, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Ballmer Leaves Microsoft's Board, Has Advice For Nadella

Ballmer Leaves Microsoft's Board, Has Advice For Nadella

Newsy (Aug. 19, 2014) In a letter to Microsoft CEO Satya Nadella, Ballmer said he's leaving the board of directors and offered tips on how the company can be successful. Video provided by Newsy
Powered by NewsLook.com
What Google Can Gain From Special Accounts For Children

What Google Can Gain From Special Accounts For Children

Newsy (Aug. 19, 2014) Google will reportedly offer official accounts for children younger than 13 years old. Video provided by Newsy
Powered by NewsLook.com
Breakingviews: Ebola's Economic Impact Could Eclipse SARS

Breakingviews: Ebola's Economic Impact Could Eclipse SARS

Reuters - Business Video Online (Aug. 18, 2014) The virus ravaging Africa has yet to spread elsewhere. Yet Asia’s SARS crisis in 2003 showed how changes to behaviour can hurt the economy more than the actual disease, says Breakingviews' Una Galani. Video provided by Reuters
Powered by NewsLook.com
Twitter Users Up In Arms After 'Favorites' Show Up In Feeds

Twitter Users Up In Arms After 'Favorites' Show Up In Feeds

Newsy (Aug. 17, 2014) Twitter is testing a feature on some users that shows favorited tweets from people they follow in their own timeline, the same way a retweet appears. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins