Doe Science news source
The DOE Science News Source is a Newswise initiative to promote research news from the Office of Science of the DOE to the public and news media.
  • 2018-01-30 15:00:48
  • Article ID: 688603

Applying Machine Learning to the Universe's Mysteries

Berkeley Lab scientists teach machines to analyze simulations of exotic subatomic 'soup'

  • Credit: Berkeley Lab

    The colored lines represent calculated particle tracks from particle collisions occurring within Brookhaven National Laboratory’s STAR detector at the Relativistic Heavy Ion Collider, and an illustration of a digital brain. The yellow-red glow at center shows a hydrodynamic simulation of quark-gluon plasma created in particle collisions.

  • Credit: Berkeley Lab

    The diagram at left, which maps out particle distribution in a simulated high-energy heavy-ion collision, includes details on particle momentum and angles. Thousands of these images were used to train and test a neural network to identify important features in the images. At right, a neural network used the collection of images to created this “importance map” – the lighter colors represent areas that are considered more relevant to identify equation of state for the quark-gluon matter created in particle collisions.

Computers can beat chess champions, simulate star explosions, and forecast global climate. We are even teaching them to be infallible problem-solvers and fast learners.

And now, physicists at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries. The team fed thousands of images from simulated high-energy particle collisions to train computer networks to identify important features.

The researchers programmed powerful arrays known as neural networks to serve as a sort of hivelike digital brain in analyzing and interpreting the images of the simulated particle debris left over from the collisions. During this test run the researchers found that the neural networks had up to a 95 percent success rate in recognizing important features in a sampling of about 18,000 images.

The study was published Jan. 15 in the journal Nature Communications

The next step will be to apply the same machine learning process to actual experimental data.

Powerful machine learning algorithms allow these networks to improve in their analysis as they process more images. The underlying technology is used in facial recognition and other types of image-based object recognition applications.

The images used in this study – relevant to particle-collider nuclear physics experiments at Brookhaven National Laboratory’s Relativistic Heavy Ion Collider and CERN’s Large Hadron Collider – recreate the conditions of a subatomic particle “soup,” which is a superhot fluid state known as the quark-gluon plasma believed to exist just millionths of a second after the birth of the universe. Berkeley Lab physicists participate in experiments at both of these sites.

“We are trying to learn about the most important properties of the quark-gluon plasma,” said Xin-Nian Wang, a nuclear physicist in the Nuclear Science Division at Berkeley Lab who is a member of the team. Some of these properties are so short-lived and occur at such tiny scales that they remain shrouded in mystery.

In experiments, nuclear physicists use particle colliders to smash together heavy nuclei, like gold or lead atoms that are stripped of electrons. These collisions are believed to liberate particles inside the atoms’ nuclei, forming a fleeting, subatomic-scale fireball that breaks down even protons and neutrons into a free-floating form of their typically bound-up building blocks: quarks and gluons.

Researchers hope that by learning the precise conditions under which this quark-gluon plasma forms, such as how much energy is packed in, and its temperature and pressure as it transitions into a fluid state, they will gain new insights about its component particles of matter and their properties, and about the universe’s formative stages.

But exacting measurements of these properties – the so-called “equation of state” involved as matter changes from one phase to another in these collisions – have proven challenging. The initial conditions in the experiments can influence the outcome, so it’s challenging to extract equation-of-state measurements that are independent of these conditions.

“In the nuclear physics community, the holy grail is to see phase transitions in these high-energy interactions, and then determine the equation of state from the experimental data,” Wang said. “This is the most important property of the quark-gluon plasma we have yet to learn from experiments.”

Researchers also seek insight about the fundamental forces that govern the interactions between quarks and gluons, what physicists refer to as quantum chromodynamics.

Long-Gang Pang, the lead author of the latest study and a Berkeley Lab-affiliated postdoctoral researcher at UC Berkeley, said that in 2016, while he was a postdoctoral fellow at the Frankfurt Institute for Advanced Studies, he became interested in the potential for artificial intelligence (AI) to help solve challenging science problems.

He saw that one form of AI, known as a deep convolutional neural network – with architecture inspired by the image-handling processes in animal brains – appeared to be a good fit for analyzing science-related images.

“These networks can recognize patterns and evaluate board positions and selected movements in the game of Go,” Pang said. “We thought, ‘If we have some visual scientific data, maybe we can get an abstract concept or valuable physical information from this.’” 

Wang added, “With this type of machine learning, we are trying to identify a certain pattern or correlation of patterns that is a unique signature of the equation of state.” So after training, the network can pinpoint on its own the portions of and correlations in an image, if any exist, that are most relevant to the problem scientists are trying to solve.

Accumulation of data needed for the analysis can be very computationally intensive, Pang said, and in some cases it took about a full day of computing time to create just one image. When researchers employed an array of GPUs that work in parallel – GPUs are graphics processing units that were first created to enhance video game effects and have since exploded into a variety of uses – they cut that time down to about 20 minutes per image.

They used computing resources at Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC) in their study, with most of the computing work focused at GPU clusters at GSI in Germany and Central China Normal University in China.

A benefit of using sophisticated neural networks, the researchers noted, is that they can identify features that weren’t even sought in the initial experiment, like finding a needle in a haystack when you weren’t even looking for it. And they can extract useful details even from fuzzy images.

“Even if you have low resolution, you can still get some important information,” Pang said.

Discussions are already underway to apply the machine learning tools to data from actual heavy-ion collision experiments, and the simulated results should be helpful in training neural networks to interpret the real data.

“There will be many applications for this in high-energy particle physics,” Wang said, beyond particle-collider experiments.

Other participants in the study were from the Frankfurt Institute for Advanced Studies, Goethe University, GSI Helmholtzzentrum für Schwerionenforschung (GSI), and Central China Normal University.

The work was supported by the U.S Department of Energy’s Office of Science, the National Science Foundation, the Helmholtz Association, GSI, SAMSON AG, Goethe University, the National Natural Science Foundation of China, the Major State Basic Research Development Program in China, and the Helmholtz International Center for the Facility for Antiproton and Ion Research.

NERSC is DOE Office of Science user facility.

###

Lawrence Berkeley National Laboratory addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel Prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. For more, visit www.lbl.gov.

DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.

X
X
X
  • Filters

  • × Clear Filters

Sunlight Stimulates Microbial Respiration of Carbon in Surface Waters

This research offers new information to understand the role of microorganisms in elemental cycling in the Arctic.

Pulling Needles Out of Haystacks: With Computation, Researchers Identify Promising Solid Oxide Fuel Cell Materials

Using advanced computational methods, University of Wisconsin-Madison materials scientists have discovered new materials that could bring widespread commercial use of solid oxide fuel cells closer to reality.

Imaging Individual Flexible DNA 'Building Blocks' in 3-D

A team of researchers from Lawrence Berkeley National Lab (Berkeley Lab) and Ohio State University have generated 3-D images from 129 individual molecules of flexible DNA origami particles. Their work provides the first experimental verification of the theoretical model of DNA origami. https://newscenter.lbl.gov/2018/02/22/imaging-individual-flexible-dna-building-blocks-3-d

Remembering Really Fast

Colossal magnetoresistance at terahertz frequencies in thin composites boosts novel memory devices operated at extremely high speed.

In a First, Tiny Diamond Anvils Trigger Chemical Reactions by Squeezing

Menlo Park, Calif. --Scientists have turned the smallest possible bits of diamond and other super-hard specks into "molecular anvils" that squeeze and twist molecules until chemical bonds break and atoms exchange electrons. These are the first such chemical reactions triggered by mechanical pressure alone, and researchers say the method offers a new way to do chemistry at the molecular level that is greener, more efficient and much more precise.

Berkeley Lab "Minimalist Machine Learning" Algorithms Analyze Images From Very Little Data

Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach "learns" much more quickly and requires far fewer images.

Tuning Quantum Light Sources

First known material capable of emitting single photons at room temperature and telecom wavelengths.

Working Night and Day

Day-night changes in light and temperature power a low-cost material assembly that mimics biological self-copying.

Squeezing Into the Best Shape

Gel uses nanoparticles for on-demand control of droplet shapes, of interest for energy storage and catalysis.

Forcing the Hand of Elusive Electrons

Current generated when light hits a material reveals electrons behaving like an elusive particle.


  • Filters

  • × Clear Filters

ORNL Wins Four FLC Technology Transfer Awards

Four technologies developed at the Department of Energy's Oak Ridge National Laboratory have earned 2018 Excellence in Technology Transfer Awards from the Federal Laboratory Consortium for Technology Transfer (FLC).

Pacific Northwest National Laboratory, OHSU Create Joint Research Co-Laboratory to Advance Precision Medicine

News Release PORTLAND, Ore. -- Pacific Northwest National Laboratory and OHSU today announced a joint collaboration to improve patient care by focusing research on highly complex sets of biomedical data, and the tools to interpret them.The OHSU-PNNL Precision Medicine Innovation Co-Laboratory, called PMedIC, will provide a comprehensive ecosystem for scientists to utilize integrated 'omics, data science and imaging technologies in their research in order to advance precision medicine -- an approach to disease treatment that takes into account individual variability in genes, environment and lifestyle for each person.

The Mysteries of Plasma and Solar Eruptions Earn PPPL Graduate an Astrophysics Prize

Article describes dissertation award for graduate of Princeton University Department of Astrophysical Sciences.

45-Year-Old Telescope Gets a Makeover to Demystify Dark Energy

Forty-five years ago this month, a telescope tucked inside a 14-story, 500-ton dome atop a mile-high peak in Arizona took in the night sky for the first time and recorded its observations on glass photographic plates. Today, the dome closes on the previous science chapters of the 4-meter Nicholas U. Mayall Telescope and starts preparing for its new role in creating the largest 3-D map of the universe. This map could help determine why the universe is expanding at faster and faster rates, driven by an unknown force called dark energy.

MSU Uses $3 Million NASA Grant to Find Better Ways to Regulate Dams

Michigan State University researchers, equipped with $3 million from NASA, will investigate innovative methods to improve dams so that they are less harmful to people and the environment.

Harker School Wins Second Consecutive SLAC Regional DOE Science Bowl

Twenty-four teams from 16 Bay Area high schools faced off Feb. 3 in the SLAC Regional DOE Science Bowl, a series of fast-paced question-and-answer matches that test knowledge in biology, chemistry, physics, earth and space sciences, energy and math. The competition is hosted annually by the Department of Energy's SLAC National Accelerator Laboratory.

David Asner Named Deputy Associate Laboratory Director and Head of the Instrumentation Division in Brookhaven Lab's Nuclear and Particle Physics Directorate

A particle physicist with extensive leadership and management experience, Asner will help expand a portfolio of physics programs and oversee instrumentation research and development.

UIC to Provide Energy-Saving 'Kits' with $3.1m in Funding From ComEd

The University of Illinois at Chicago's Energy Resources Center has received funding from ComEd to provide energy-efficient LED light bulbs, advanced power strips, and educational material to income-qualified participants in northern Illinois.As part of a $3.1 million year-long investment, the utility company will fund the Low Income Kit Energy (LIKE) program, allowing engineers at UIC's Energy Resources Center to provide energy-saving kits to 35,000 eligible individuals and/or families.

DOE's HPC4Manufacturing Program Seeks Industry Proposals

The Department of Energy (DOE) on Feb. 1 announced up to $3 million will be made available to U.S. manufacturers for public/private projects aimed at applying high performance computing to industry challenges for the advancement of energy innovation.

Elke-Caroline Aschenauer Awarded Prestigious Humboldt Research Award

UPTON, NY -- Elke-Caroline Aschenauer, a senior physicist at the U.S. Department of Energy's Brookhaven National Laboratory, has been awarded a Humboldt Research Award for her contributions to the field of experimental nuclear physics. This prestigious international award--issued by the Alexander von Humboldt Foundation in Bonn, Germany--comes with a prize of EUR60,000 (more than $70,000 U.


  • Filters

  • × Clear Filters

Sunlight Stimulates Microbial Respiration of Carbon in Surface Waters

This research offers new information to understand the role of microorganisms in elemental cycling in the Arctic.

Defects and Surface Reactions Boost Batteries

Defect-enhanced transport and complex phase growth are changing design rules for lithium-ion batteries.

Remembering Really Fast

Colossal magnetoresistance at terahertz frequencies in thin composites boosts novel memory devices operated at extremely high speed.

Tuning Quantum Light Sources

First known material capable of emitting single photons at room temperature and telecom wavelengths.

Working Night and Day

Day-night changes in light and temperature power a low-cost material assembly that mimics biological self-copying.

A Nanowire Array to Screen Drugs for Neurodegenerative Diseases

Engineers develop wires that penetrate neurons and measure their activity

Squeezing Into the Best Shape

Gel uses nanoparticles for on-demand control of droplet shapes, of interest for energy storage and catalysis.

Forcing the Hand of Elusive Electrons

Current generated when light hits a material reveals electrons behaving like an elusive particle.

Single Atoms in Nano-Cages

Tiny cages can trap and release inert argon gas atoms, allowing their further study and providing a new way to capture rare gases.

Unwavering Juggler with Three Extra Electrons

Simulations discovered the first molecule with three extra electrons and extraordinary stability.


Spotlight

Thursday February 15, 2018, 12:05 PM

Insights on Innovation in Energy, Humanitarian Aid Highlight UVA Darden's Net Impact Week

University of Virginia Darden School of Business

Friday February 09, 2018, 11:05 AM

Ivy League Graduate, Writer and Activist with Dyslexia Visits CSUCI to Reframe the Concept of Learning Disabilities

California State University, Channel Islands

Wednesday January 17, 2018, 12:05 PM

Photographer Adam Nadel Selected as Fermilab's New Artist-in-Residence for 2018

Fermi National Accelerator Laboratory (Fermilab)

Wednesday January 17, 2018, 12:05 PM

Fermilab Computing Partners with Argonne, Local Schools for Hour of Code

Fermi National Accelerator Laboratory (Fermilab)

Wednesday December 20, 2017, 01:05 PM

Q&A: Sam Webb Teaches X-Ray Science from a Remote Classroom

SLAC National Accelerator Laboratory

Monday December 18, 2017, 01:05 PM

The Future of Today's Electric Power Systems

Rensselaer Polytechnic Institute (RPI)

Monday December 18, 2017, 12:05 PM

Supporting the Development of Offshore Wind Power Plants

Rensselaer Polytechnic Institute (RPI)

Tuesday October 03, 2017, 01:05 PM

Stairway to Science

Argonne National Laboratory

Thursday September 28, 2017, 12:05 PM

After-School Energy Rush

Argonne National Laboratory

Thursday September 28, 2017, 10:05 AM

Bringing Diversity Into Computational Science Through Student Outreach

Brookhaven National Laboratory

Thursday September 21, 2017, 03:05 PM

From Science to Finance: SLAC Summer Interns Forge New Paths in STEM

SLAC National Accelerator Laboratory

Thursday September 07, 2017, 02:05 PM

Students Discuss 'Cosmic Opportunities' at 45th Annual SLAC Summer Institute

SLAC National Accelerator Laboratory

Thursday August 31, 2017, 05:05 PM

Binghamton University Opens $70 Million Smart Energy Building

Binghamton University, State University of New York

Wednesday August 23, 2017, 05:05 PM

Widening Horizons for High Schoolers with Code

Argonne National Laboratory

Saturday May 20, 2017, 12:05 PM

Rensselaer Polytechnic Institute Graduates Urged to Embrace Change at 211th Commencement

Rensselaer Polytechnic Institute (RPI)

Monday May 15, 2017, 01:05 PM

ORNL, University of Tennessee Launch New Doctoral Program in Data Science

Oak Ridge National Laboratory

Friday April 07, 2017, 11:05 AM

Champions in Science: Profile of Jonathan Kirzner

Department of Energy, Office of Science

Wednesday April 05, 2017, 12:05 PM

High-Schooler Solves College-Level Security Puzzle From Argonne, Sparks Interest in Career

Argonne National Laboratory

Tuesday March 28, 2017, 12:05 PM

Champions in Science: Profile of Jenica Jacobi

Department of Energy, Office of Science

Friday March 24, 2017, 10:40 AM

Great Neck South High School Wins Regional Science Bowl at Brookhaven Lab

Brookhaven National Laboratory

Wednesday February 15, 2017, 04:05 PM

Middle Schoolers Test Their Knowledge at Science Bowl Competition

Argonne National Laboratory

Friday January 27, 2017, 04:00 PM

Haslam Visits ORNL to Highlight State's Role in Discovering Tennessine

Oak Ridge National Laboratory

Tuesday November 08, 2016, 12:05 PM

Internship Program Helps Foster Development of Future Nuclear Scientists

Oak Ridge National Laboratory

Friday May 13, 2016, 04:05 PM

More Than 12,000 Explore Jefferson Lab During April 30 Open House

Thomas Jefferson National Accelerator Facility

Monday April 25, 2016, 05:05 PM

Giving Back to National Science Bowl

Ames Laboratory

Friday March 25, 2016, 12:05 PM

NMSU Undergrad Tackles 3D Particle Scattering Animations After Receiving JSA Research Assistantship

Thomas Jefferson National Accelerator Facility

Tuesday February 02, 2016, 10:05 AM

Shannon Greco: A Self-Described "STEM Education Zealot"

Princeton Plasma Physics Laboratory

Monday November 16, 2015, 04:05 PM

Rare Earths for Life: An 85th Birthday Visit with Mr. Rare Earth

Ames Laboratory

Tuesday October 20, 2015, 01:05 PM

Meet Robert Palomino: 'Give Everything a Shot!'

Brookhaven National Laboratory

Tuesday April 22, 2014, 11:30 AM

University of Utah Makes Solar Accessible

University of Utah

Wednesday March 06, 2013, 03:40 PM

Student Innovator at Rensselaer Polytechnic Institute Seeks Brighter, Smarter, and More Efficient LEDs

Rensselaer Polytechnic Institute (RPI)

Friday November 16, 2012, 10:00 AM

Texas Tech Energy Commerce Students, Community Light up Tent City

Texas Tech University

Wednesday November 23, 2011, 10:45 AM

Don't Get 'Frosted' Over Heating Your Home This Winter

Temple University

Wednesday July 06, 2011, 06:00 PM

New Research Center To Tackle Critical Challenges Related to Aircraft Design, Wind Energy, Smart Buildings

Rensselaer Polytechnic Institute (RPI)

Friday April 22, 2011, 09:00 AM

First Polymer Solar-Thermal Device Heats Home, Saves Money

Wake Forest University

Friday April 15, 2011, 12:25 PM

Like Superman, American University Will Get Its Energy from the Sun

American University

Thursday February 10, 2011, 05:00 PM

ARRA Grant to Help Fund Seminary Building Green Roof

University of Chicago

Tuesday December 07, 2010, 05:00 PM

UC San Diego Installing 2.8 Megawatt Fuel Cell to Anchor Energy Innovation Park

University of California San Diego

Monday November 01, 2010, 12:50 PM

Rensselaer Smart Lighting Engineering Research Center Announces First Deployment of New Technology on Campus

Rensselaer Polytechnic Institute (RPI)

Friday September 10, 2010, 12:40 PM

Ithaca College Will Host Regional Clean Energy Summit

Ithaca College

Tuesday July 27, 2010, 10:30 AM

Texas Governor Announces $8.4 Million Award to Create Renewable Energy Institute

Texas Tech University

Friday May 07, 2010, 04:20 PM

Creighton University to Offer New Alternative Energy Program

Creighton University

Wednesday May 05, 2010, 09:30 AM

National Engineering Program Seeks Subject Matter Experts in Energy

JETS Junior Engineering Technical Society

Wednesday April 21, 2010, 12:30 PM

Students Using Solar Power To Create Sustainable Solutions for Haiti, Peru

Rensselaer Polytechnic Institute (RPI)

Wednesday March 03, 2010, 07:00 PM

Helping Hydrogen: Student Inventor Tackles Challenge of Hydrogen Storage

Rensselaer Polytechnic Institute (RPI)

Thursday February 04, 2010, 02:00 PM

Turning Exercise into Electricity

Furman University

Thursday November 12, 2009, 12:45 PM

Campus Leaders Showing the Way to a Sustainable, Clean Energy Future

National Wildlife Federation (NWF)

Tuesday November 03, 2009, 04:20 PM

Furman University Receives $2.5 Million DOE Grant for Geothermal Project

Furman University





Showing results

0-4 Of 2215