Showing posts with label supercomputers. Show all posts
Showing posts with label supercomputers. Show all posts

Tuesday, August 28, 2012

Supernovae of the Same Brightness, Cut From Vastly Different Cosmic Cloth


Berkeley Lab researchers make historic observation of rare Type 1a Supernova

Berkeley, Calif.—Exploding stars called Type 1a supernova are ideal for measuring cosmic distance because they are bright enough to spot across the Universe and have relatively the same luminosity everywhere. Although astronomers have many theories about the kinds of star systems involved in these explosions (or progenitor systems), no one has ever directly observed one—until now.

In the August 24 issue of Science, the multi-institutional Palomar Transient Factory (PTF) team presents the first-ever direct observations of a Type 1a supernova progenitor system. Astronomers have collected evidence indicating that the progenitor system of a Type 1a supernova, called PTF 11kx, contains a red giant star. They also show that the system previously underwent at least one much smaller nova eruption before it ended its life in a destructive supernova. The system is located 600 million light years away in the constellation Lynx.

By comparison, indirect observations of another Type 1a supernova progenitor system (called SN 2011fe, conducted by the PTF team last year) showed no evidence of a red giant star. Taken together, these observations unequivocally show that just because Type 1a supernovae look the same, that doesn’t mean they are all born the same way.

“We know that Type 1a supernovae vary slightly from galaxy to galaxy, and we’ve been calibrating for that, but this PTF 11kx observation is providing the first explanation of why this happens,” says Peter Nugent, a senior scientist at the Lawrence Berkeley National Laboratory (Berkeley Lab) and a co-author on the paper. “This discovery gives us an opportunity to refine and improve the accuracy of our cosmic measurements.”

“It’s a total surprise to find that thermonuclear supernovae, which all seem so similar, come from different kinds of stars,” says Andy Howell, a staff scientist at the Las Cumbres Observatory Global Telescope Network (LCOGT) and a co-author on the paper. “How could these events look so similar, if they had different origins?”



A One in a Thousand Discovery, Powered by Supercomputers
The supernova PTF 11kx can be seen as the blue dot on the galaxy. The image was taken when the supernova was near maximum brightness by the Faulkes Telescope North. The system is located approximately 600 million light years away in the constellation Lynx. (BJ Fulton, Las Cumbres Observatory Global Telescope Network)

Although Type 1a supernovae are rare, occurring maybe once or twice a century in a typical galaxy, Nugent notes that finding a Type 1a progenitor system like PTF 11kx is even more rare. “You maybe find one of these systems in a sample of 1,000 Type 1a supernovae,” he says. “The Palomar Transient Factory Real-Time Detection Pipeline was crucial to finding PTF 11kx.”

The PTF survey uses a robotic telescope mounted on the 48-inch Samuel Oschin Telescope at Palomar Observatory in southern California to scan the sky nightly. As the observations are taken, the data travels more than 400 miles via high-speed networks–including the National Science Foundation’s High Performance Wireless Research and Education Network and the Department of Energy’s Energy Sciences Network (ESnet)–to the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab. There, the Real-time Transient Detection Pipeline uses supercomputers, a high-speed parallel filesystem and sophisticated machine learning algorithms to sift the data and identify events for scientists to follow up on.

According to Nugent, the pipeline detected the supernova on January 16, 2011. He and UC Berkeley postdoctoral researcher Jeffrey Silverman immediately followed up on the event with spectroscopy observations from the Shane telescope at the University of California’s Lick Observatory. These observations revealed incredibly strong calcium signals in the gas and dust surrounding the supernova, which is extremely unusual.

The signals were so peculiar that Nugent and his UC Berkeley colleagues, Alex Filippenko and Joshua Bloom, triggered a Target of Opportunity (ToO) observation using the Keck Telescope in Hawaii. “We basically called up a fellow UC observer and interrupted their observations in order to get time critical spectra,” Nugent explains.

From the Keck observations, astronomers noticed that the clouds of gas and dust surrounding PTF 11kx were moving too slowly to be coming from the recent supernova, but moving too quickly to be stellar wind. They suspected that maybe the star erupted, or went nova, previously propelling a shell of material outwards. The material, they surmised, must be slowing down as it collided with wind from a nearby red giant star. But for this theory to be true, the material from the recent supernova should eventually catch up and collide with gas and dust from the previous nova. That’s exactly what the PTF team eventually observed.

In the months following the supernova, the PTF team watched the calcium signal drop and eventually vanish. Then, 58 days after the supernova went off, Berkeley Lab Scientist Nao Suzuki who was observing the system with the Lick telescope noticed a sudden, strong burst in calcium coming from the system, indicating that the new supernova material had finally collided with the old material.

“This was the most exciting supernova I’ve ever studied. For several months, almost every new observation showed something we’d never seen before,” says Ben Dilday, a UC Santa Barbra postdoctoral researchers and lead author of the study.

A New Kind of Type 1a Supernova
According to Dilday, it is not unusual for a star to undergo nova eruptions more than once. In fact, a  “recurrent nova” system called RS Ophiuchi exists within our own Milky Way Galaxy. Located about 5,000 light years away, the system is close enough that astronomers can tell that it consists of a compact white dwarf star (the corpse of a sun-like star) orbiting a red giant. Material being blown off the red giant star in a stellar wind lands on the white dwarf. As the material builds up, the white dwarf periodically explodes, or novas, in this case, about every 20 years.

Astronomers predict that in recurring novas, the white dwarf loses more mass in the nova eruption than it gains from the red giant. Because Type 1a supernovae occur in systems where a white dwarf accretes mass from a nearby star until it can’t grow any further and explodes, many scientists concluded that recurrent nova systems could not produce Type 1a supernovae. They thought the white dwarf would lose too much mass to ever become a supernova. PTF 11kx is the first observational evidence that Type 1a supernovae can occur in these systems.

“Because we’ve looked at thousands of systems and PTF 11kx is the only one that we’ve found that looks exactly like this, we think it is probably a rare phenomenon. However, these systems could be somewhat more common, and nature is just hiding their signatures from us,” says Silverman.

The Palomar Transient Factory’s Real-Time detection pipeline is made possible with support from the DOE Office of Science, NASA, and the National Science Foundation.

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The Palomar Transient Factory is an international collaboration of scientists and engineers from Berkeley Lab, California Institute of Technology (Caltech), NASA’s Infrared Processing and Analysis Center, UC Berkeley, Las Cumbres Observatory Global Telescope Network, the University of Oxford, Columbia University, the Weizmann Institute of Science in Israel, and Pennsylvania State University. http://www.astro.caltech.edu/ptf/.

About Berkeley Lab
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.

About NERSC
The National Energy Research Scientific Computing Center (NERSC) is the primary high-performance computing facility for scientific research sponsored by the U.S. Department of Energy’s Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 4,000 scientists at national laboratories and universities conducting fundamental research in a wide range of disciplines. http://www.nersc.gov

About ESnet
The Energy Sciences Network (ESnet) provides the high-bandwidth, reliable connections that link scientists at national laboratories, universities and other research institutions, enabling them to collaborate on some of the world’s most important scientific challenges including energy, climate science, and the origins of the universe. Funded by the U.S. Department of Energy’s (DOE) Office of Science and located within the Scientific Networking Division at Lawrence Berkeley National Laboratory, ESnet provides scientists with access to unique DOE research facilities and computing resources. http://es.net

Sunday, August 19, 2012

NCSA Aquifer Dance


For "Dance: Re-Imagining the Proscenium," performers executed choreographed and spontaneous dance moves to music composed by New York-based composer James Lo as they roamed throughout the University of Illinois' Krannert Center for the Performing Arts. The dancers were part of a November 2008 modern dance performance showcasing the area's reliance on the Mahomet Aquifer that flows deep beneath the ground. The performance's creator, Illinois dance professor Jennifer Monson, is interested in environmental issues.

This distinctive dance experience was executed with the assistance of numerous collaborators including some from the National Center for Supercomputing Applications' (NCSA) Advanced Visualization Lab. Jeffrey Carpenter, Robert Patterson and Stuart Levy created visualizations like the one pictured here behind the dancers (created by Carpenter). This particular visualization depicts a persistent ground of dark, shimmering sand perpetually in motion, evoking the opaque and porous substrates of the aquifer through which water moves and from which it is drawn. Slowly, an isomorphic image of the aquifer rises and turns to open, inviting viewers to move within the exposed mystery of its negative space. Then, gradually a graphic representation of the aquifer resolves until it is superimposed across the 3-D outlines of the aquifer. The images linger only a short time until the reality of the aquifer--dense, dark and subterranean--is reasserted.

The visualizations were projected on the rear walls of stages and rooms and around corners, surrounding and immersing the dancers and the audience and expanding their experience into new dimensions.

The performance was part of the Institute for Advanced Computing Applications and Technologies (IACAT) computing and creativity research theme, which is exploring, among other things, the use of new technology for creating innovative performances.

(Date of Image: November 2008)

Credit: Background visualization by Jeffrey Carpenter, NCSA/University of Illinois; photo by Robert Patterson, NCSA/University of Illinois

Tuesday, June 19, 2012

NASA'S Pleiades Supercomputer Gets A Little More Oomph


J.D. Harrington
Headquarters, Washington
202-358-5241
j.d.harrington@nasa.gov
 
Karen Jenvey / Jill Dunbar
Ames Research Center, Moffett Field, Calif.
650-604-4789 / 650-604-3534
karen.jenvey@nasa.gov / jill.dunbar@nasa.gov

WASHINGTON -- NASA's flagship Pleiades supercomputer just received a boost to help keep pace with the intensive number-crunching requirements of scientists and engineers working on some of the agency's most challenging missions.

Pleiades is critical for the modeling, simulation and analysis of a diverse set of agency projects in aeronautics research, Earth and space sciences and the design and operation of future space exploration vehicles. The supercomputer is located at the NASA Advanced Supercomputing (NAS) facility at Ames Research Center in Moffett Field, Calif.

An expansion completed earlier this month has increased Pleiades' sustained performance rate by 14 percent to 1.24 petaflops -- or a quadrillion calculations per second. To put this enormous number into perspective, if everyone in the world did one calculation per second for eight hours a day, it would take about 370 days to complete what this supercomputer can calculate in 60 seconds.

"As we move toward NASA's next phase in advanced computing, Pleiades must be able to handle the increasing requirements of more than 1,200 users across the country who rely on the system to perform their large, complex calculations," said Rupak Biswas, chief of the NAS division at Ames. "Right now, for example, the system is being used to improve our understanding of how solar flares and other space weather events can affect critical technologies on Earth. Pleiades also plays a key role in producing high-fidelity simulations used for possible vehicle designs such as NASA's upcoming Space Launch System."

Since Pleiades' installation in 2008, NAS has performed eight major upgrades to the system. The latest expansion adds 24 of the newest generation systems containing advanced processors. More than 65 miles of cabling interconnects Pleiades nodes with data storage systems and the hyperwall-2 visualization system.

Recently, scientists have counted on Pleiades for generating the "Bolshoi" cosmological simulation -- the largest simulation of its kind to date -- to help explain how galaxies and the large-scale structure of the universe have evolved over billions of years. The system also has proven essential for processing massive amounts of star data gathered from NASA's Kepler spacecraft, leading to the discovery of new Earth-sized planets in the Milky Way galaxy. The upgraded capability of Pleiades will enable NASA scientists to solve challenging problems like these more quickly, using even larger datasets.

For more information about NASA Advanced Supercomputing, visit http://www.nas.nasa.gov.

For more information about Pleiades, visit http://go.nasa.gov/MJ4NvN.

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Thursday, March 22, 2012

NSF's Most Powerful Computing Resource Has Opened Its Doors to Six Science Teams


Six research teams have started to use the first phase of the Blue Waters sustained-petascale supercomputer to study some vexing problems in science and engineering from climate change to the HIV infection.

It's the first use of Blue Waters, which is on its way to becoming one of the most powerful supercomputers in the world.

"This is an exciting and important milestone in the Blue Waters project," said Irene Qualters, program director of the National Science Foundation's (NSF) Office of Cyberinfrastructure, which supports Blue Waters along with the University of Illinois' National Center for Supercomputing Applications (NCSA).

"It began as an idea," Qualters said, "and now thanks to sustained collaborative efforts by the entire project team, the vendor and researchers, this computational tool is beginning to advance fundamental understanding in a wide range of scientific topics."

Through a competitive process, NSF and NCSA awarded more than two dozen research teams Petascale Computing Resource Allocations--time to use Blue Waters on compelling research questions. From among these, a smaller group of six teams was selected to use the Early Science System before the full Blue Waters system is deployed later this year.

Those teams will pursue the following research:

•Modeling of high-temperature plasmas, including magnetic reconnection and flux transfer events to better understand the impact of the solar wind and solar flares on the Earth's atmosphere;
•Simulating the formation and evolution of the Milky Way's most distant ancestors, a population of small galaxies formed shortly after the Big Bang.
•Examining the protein that encases the HIV-1 genome. The process through which this protein disassembles, releasing its genetic material, is a critical step in HIV infection.
•Exploring explosive burning in Type Ia supernovae, which are used as "standard candles" for surveying astronomically vast distances, with unprecedented resolution afforded by a fine level of adaptive mesh refinement simulations.
•Simulating the end of both the 20th and 21st centuries to explore changes in the frequency and intensity of extreme events, such as tropical cyclones and mid-continental thunderstorms that are not adequately resolved in global climate models at lower resolution.

All of the more than two dozen teams are in line to use the full Blue Waters system when it is deployed.

The Blue Waters Early Science System is made up of 48 Cray XE6 cabinets and represents about 15 percent of the total Blue Waters computational system. It is currently the most powerful computing resource available through NSF.

Once fully deployed, Blue Waters is expected to make arithmetic calculations at a sustained rate in excess of 1,000-trillion operations per second (a "petaflop" per second). It will enable researchers across a variety of disciplines to tackle some of the most challenging research issues in science and engineering.

Read more about the first six projects to use the Early Science System on the NCSA Web site.

 -NSF-

Monday, June 20, 2011

NASA's Pleiades Supercomputer Ranks Among World's Fastest

Rachel Hoover/Jill Dunbar
Ames Research Center, Moffett Field, Calif.
 
WASHINGTON -- NASA's largest supercomputer is seventh on the TOP500 list of the world's most powerful, high-performance computers. The announcement was made at the 26th International Supercomputing Conference in Hamburg, Germany.

Pleiades, located at NASA's Ames Research Center in Moffett Field, Calif., supports more than 1,000 active users around the country who are advancing our knowledge about the Earth, solar system and the universe. Pleiades is used to meet the computing needs on NASA's most demanding modeling and simulation projects in aeronautics; Earth and space science; exploration systems and technologies; and future space operations.

"We're really excited that Pleiades delivered nearly 83 percent of the theoretical peak performance," said Rupak Biswas, chief of the NASA Advanced Supercomputing (NAS) Division at Ames. "This means our science and engineering users get extremely efficient use of their computing time on the system. Reaching the sustained petaflop per second rate is a significant milestone for NASA and its industry partners."

Since last June, the NAS Division has implemented a series of expansions to the system's performance capabilities. The team recently added 14 new SGI(R) Altix(R) ICE 8400 systems so that Pleiades now contains 23,296 Intel(R) Xeon(R) quad- and hex-core processors (111,104 cores in 182 racks) that can run at a theoretical peak of approximately 1.32 quadrillion floating point operations, or calculations, per second. It achieved an official sustained rate of 1.09 petaflop per second using the LINPACK benchmark, the industry standard for measuring a system's floating point computing power.

Pleiades runs on three generations of Intel-based processors with varying memory per core across two generations of InfiniBand(R) technology. The latest hex-core Intel(R) Xeon(R) 5600 (Westmere) and earlier quad-core 5570 (Nehalem) processors run at a speed of 2.93 GHz, while the original Pleiades 5400 (Harpertown) quad-core processors run at 3 GHz.

Since its installation in 2008, scientists have run large-scale jobs on Pleiades to gain insight into Earth's ocean and climate variability; reduce harmful emissions from aircraft; and design future vehicles for planetary and space exploration. The system also has been critical to supporting debris damage assessment on space shuttle missions and gave managers data about critical decisions to perform repairs and clear the orbiter for safe landing.

The NAS facility continues to feature the world's largest InfiniBand(R) interconnect network with 11,648 nodes and more than 63 miles of cabling -- long enough to reach the "frontier of space" from the surface of Earth. The double data rate, quad data rate and hybrid cables interconnect Pleiades' nodes with mass data storage systems and the hyperwall-2 visualization system. This allows scientists to concurrently view and analyze their data while their computational jobs run, often leading to the discovery of previously unknown details in their ultra-large datasets.

For more information about the Pleiades supercomputer, visit http://www.nas.nasa.gov/hecc/resources/pleiades.html.

For information about the TOP500 list, visit http://www.top500.org/.

For information about NASA and agency programs, visit http://www.nasa.gov.

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Thursday, April 7, 2011

Breakthrough Study Confirms Cause Of Short Gamma-Ray Bursts

Trent Perrotto
Headquarters, Washington     
 
Lynn Chandler
Goddard Space Flight Center, Greenbelt, Md.
 
WASHINGTON -- A new supercomputer simulation shows the collision of two neutron stars can naturally produce the magnetic structures thought to power the high-speed particle jets associated with short gamma-ray bursts (GRBs). The study provides the most detailed glimpse of the forces driving some of the universe's most energetic explosions.

The state-of-the-art simulation ran for nearly seven weeks on the Damiana computer cluster at the Albert Einstein Institute (AEI) in Potsdam, Germany. It traces events that unfold over 35 milliseconds -- about three times faster than the blink of an eye.

GRBs are among the brightest events known, emitting as much energy in a few seconds as our entire galaxy does in a year. Most of this emission comes in the form of gamma rays, the highest-energy form of light.

"For the first time, we've managed to run the simulation well past the merger and the formation of the black hole," said Chryssa Kouveliotou, a co-author of the study at NASA's Marshall Space Flight Center in Huntsville, Ala. "This is by far the longest simulation of this process, and only on sufficiently long timescales does the magnetic field grow and reorganize itself from a chaotic structure into something resembling a jet."

GRBs longer than two seconds are the most common type and are widely thought to be triggered by the collapse of a massive star into a black hole. As matter falls toward the black hole, some of it forms jets in the opposite direction that move near the speed of light. These jets bore through the collapsing star along its rotational axis and produce a blast of gamma rays after they emerge. Understanding short GRBs, which fade quickly, proved more elusive. Astronomers had difficulty obtaining precise positions for follow-up studies.

That began to change in 2004, when NASA's Swift satellite began rapidly locating bursts and alerting astronomers where to look.

"For more than two decades, the leading model of short GRBs was the merger of two neutron stars," said co-author Bruno Giacomazzo at the University of Maryland and NASA's Goddard Space Flight Center in Greenbelt, Md. "Only now can we show that the merger of neutron stars actually produces an ultrastrong magnetic field structured like the jets needed for a GRB."

A neutron star is the compressed core left behind when a star weighing less than about 30 times the sun's mass explodes as a supernova. Its matter reaches densities that cannot be reproduced on Earth -- a single spoonful outweighs the Himalayan Mountains.

The simulation began with a pair of magnetized neutron stars orbiting just 11 miles apart. Each star packed 1.5 times the mass of the sun into a sphere just 17 miles across and generated a magnetic field about a trillion times stronger than the sun's.

In 15 milliseconds, the two neutron stars crashed, merged and transformed into a rapidly spinning black hole weighing 2.9 suns. The edge of the black hole, known as its event horizon, spanned less than six miles. A swirling chaos of superdense matter with temperatures exceeding 18 billion degrees Fahrenheit surrounded the newborn black hole. The merger amplified the strength of the combined magnetic field, but it also scrambled it into disarray.

Over the next 11 milliseconds, gas swirling close to the speed of light continued to amplify the magnetic field, which ultimately became a thousand times stronger than the neutron stars' original fields. At the same time, the field became more organized and gradually formed a pair of outwardly directed funnels along the black hole's rotational axis.

This is exactly the configuration needed to power the jets of ultrafast particles that produce a short gamma-ray burst. Neither of the magnetic funnels was filled with high-speed matter when the simulation ended, but earlier studies have shown that jet formation can occur under these conditions.

"By solving Einstein's relativity equations as never before and letting nature take its course, we've lifted the veil on short GRBs and revealed what could be their central engine," said Luciano Rezzolla, the study's lead author at AEI. "This is a long-awaited result. Now it appears that neutron star mergers inevitably produce aligned jet-like structures in an ultrastrong magnetic field."

The study is available online and will appear in the May 1 edition of The Astrophysical Journal Letters.

The authors note the ultimate proof of the merger model will have to await the detection of gravitational waves -- ripples in the fabric of space-time predicted by relativity. Merging neutron stars are expected to be prominent sources, so the researchers also computed what the model's gravitational-wave signal would look like. Observatories around the world are searching for gravitational waves, so far without success because the signals are so faint.

For more information, video and images associated with this release, visit http://www.nasa.gov/topics/universe/features/gamma-ray-engines.html.

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