The Elusive Neutrino – New Window on the Violent Universe

By By Paul Tooby

November 11, 2005

Scientists have long sought ways to map the Universe and explore its most violent phenomena, from mysterious gamma ray bursts and supernova to the black holes that inhabit active nuclei in the centers of galaxies. In their quest, some researchers are now focusing on subatomic particles called neutrinos, which show promise of being valuable messengers. In contrast to other particles or light, which are absorbed, bent, or scattered in their travels, the tiny, almost massless neutrino is able to travel virtually unimpeded across the vast distances of space to reach the Earth. Aided by the TeraGrid network, cluster, and massive data resources at SDSC at UC San Diego, physicists are developing a new kind of telescope, AMANDA-II, the Antarctic Muon and Neutrino Detector Array, to observe these neutrinos and decipher their tales about the location and inner workings of the cataclysmic events in which they originated.

Researcher Andrea Silvestri and Professor Steven Barwick of the Physics and Astronomy Department at the University of California, Irvine (UCI), along with many other scientists, are beginning to use the multipurpose AMANDA-II high-energy neutrino telescope at the South Pole to seek answers to a broad array of questions in physics and astrophysics. Observing neutrinos can shed light on fundamental problems such as the origins of cosmic rays, the search for dark matter and other exotic particles, as well as serving as a monitor for supernovas in the Milky Way.

However, the same qualities that let neutrinos travel freely across the universe also make them extremely difficult to detect. To further complicate matters, the vast majority of neutrinos that reach the Earth are produced nearby through cosmic ray collisions in the Earth's atmosphere, potentially masking the rarer, distant-origin neutrinos the scientists are seeking. How can particle astrophysicists Silvestri and Barwick filter out the mass of unwanted information from their data and tease out the tiny signal of high-energy neutrinos from far away?

Taming a Flood of Data

Scientists have steadily increased the size and effectiveness of the AMANDA telescope since it began collecting data in 1997. In AMANDA-II, the data acquisition electronics were upgraded with Transient Waveform Recorders that capture the complete waveform for each event detected. The researchers expect that several important goals will benefit by as much as a factor of 10 from the additional information gathered, including improvements in reconstructing muon cascades, the search for diffuse sources of ultra-high energy neutrinos, and the search for neutrino point sources.

However, with this progress in gathering data come new challenges, and the telescope now produces a flood of information, growing from one terabyte to 15 terabytes per year even in compressed form—about the same amount of information as in the entire printed collection of the Library of Congress or the data on 3,500 DVDs.

To analyze this immense data collection, Silvestri and Barwick turned to the large-scale data and computing capabilities of the NSF TeraGrid facility at SDSC. “The more capable the AMANDA telescope becomes, the more information we gather about neutrinos, which greatly helps our science,” said Silvestri. “But this also means that to analyze all this data, we need the expertise and high-end resources of SDSC and the TeraGrid.”

The first step was to transfer the 15 terabytes of raw AMANDA neutrino data over a high-speed network from UCI into a Storage Resource Broker (SRB) data archive at SDSC. Having developed the advanced SDSC SRB data management tool and installed more than one petabyte of online disk and more than six petabytes of archival storage capacity, SDSC is ideally suited to house and analyze massive data sets. And as the TeraGrid was designed to do, the high-speed network allowed the researchers to transparently access their massive data archive housed at SDSC for use on TeraGrid computational resources at various sites, speeding their research.
Finding a Neutrino in a Haystack

The 15 terabytes of the full AMANDA-II waveform data collected for one year during 2003 contains some two billion experimental events, and the challenge the scientists faced was to identify the few neutrinos among the millions of times greater number of background muon events. Scientists measure neutrinos by detecting muons, which are subatomic particles produced in the rare interaction of a neutrino with other matter.

In their analysis, the researchers processed and filtered the experimental data and reconstructed each individual event. By running sophisticated algorithms on the TeraGrid through numerous iterations using likelihood-based statistical methods, the researchers analyzed the full 15 terabytes of experimental data. This process was highly data and compute-intensive, and only by having access to the resources of the massive SDSC online disk and tape storage and some 70,000 CPU hours on the TeraGrid supercomputer were the researchers able to carry out their data analysis. Typical jobs ran on 512 processors using 1 to 2 gigabytes of memory.

Finally, the researchers succeeded in distinguishing the faint signal of 1,112 atmospheric neutrinos from the billions of extraneous events. When they compared their results to standard analyses they found good agreement, confirming that the AMANDA instrument and SDSC-aided data analysis can produce the same physics results as previous data. In particular, the angular distribution of the atmospheric neutrino sample extracted from the standard data set agreed well with the new AMANDA data, with all 1,112 neutrinos originating in the northern hemisphere and distributed across the sky in a fairly uniform way, as expected.

In validating the AMANDA instrument and analysis, the researchers also investigated whether the observed neutrinos were generated from collisions with the Earth's atmosphere, which produces a uniform spatial distribution of neutrino events across the sky, or whether some of the neutrinos were created by a source of extraterrestrial origin, which would be expected to produce a more concentrated event cluster in the direction of the source. Their statistical analysis of the data showed that the observed regions of the sky were compatible with atmospheric neutrino events, without significant event clusters that might indicate an extraterrestrial source.

The scientists explained that it has been an enormous undertaking, requiring many years and the efforts of diverse groups and specialities working together to develop and validate an entirely new kind of telescope such as AMANDA. “This is a major result for the AMANDA-II neutrino telescope and broader research community,” said Silvestri. “It's the first validation that we can in fact perform valid neutrino analysis with the new generation of instrument, its much larger data stream, and all the steps of our analysis, and we couldn't have done it without SDSC and the TeraGrid data and compute resources.”

Moreover, since their initial analysis used only part of the complete information contained in the AMANDA-II waveform data, the researchers are now developing new software tools to exploit the full information available. The scientists expect the additional information to improve their ability to resolve even smaller differences in energy and angle. This will be crucial in their continuing search for the hard-to-detect energetic extra-terrestrial neutrinos that may hold the answers to many fundamental questions about the Universe.

A New Kind of Telescope

The fulfillment of a 40-year dream, AMANDA was designed to overcome the obstacles to detecting elusive neutrinos, and shows promise of giving scientists a startlingly broader view the Universe through the window of these high-energy particles. AMANDA is an ingenious new kind of “telescope” that senses neutrinos instead of light from above as have all telescopes since the time of Galileo (see sidebar). And unlike normal telescopes, which always face upward, AMANDA can also look downward, using the size of the Earth to “filter out” the extraneous downward-moving atmospheric muons, which are about a million times more abundant, and in this way detect high-energy neutrinos in the intermediate range from distant parts of the Universe. Only such neutrinos are able to pass through the whole Earth after entering in the Northern Hemisphere to reach the AMANDA telescope at the South Pole.

Occasionally, one of these upward-moving high-energy neutrinos will interact with an oxygen atom in the ice near the AMANDA array to produce a cascade of light-emitting muon particles. This light can travel long distances through the clear ice at the South Pole, which is free of competing background light, until it is picked up by the sensitive AMANDA photodetectors that gather this indirect evidence of the passage of a neutrino. The telescope can also search for even more energetic neutrinos by looking for downward-moving neutrinos of ultra-high energies.

The AMANDA neutrino telescope continues to grow in power, and currently consists of some 700 photon detectors arranged like beads on vertical strings, lowered into 19 holes in the ice at the South Pole. The holes are distributed across a circular area, creating a cylindrical volume of ice that serves as the detector, some 120 meters in diameter and 500 meters tall, with its top about 1,500 meters below the ice cap's surface. Each photon detector module consists of a photomultiplier tube housed in a tough, pressure-resistant hollow sphere, with electrical and optical connectors attached. After a hole is bored in the ice with heated water, the string of detector modules is lowered into the water-filled hole, which then freezes solid, locking the detectors permanently in place.

In the future, the research will be scaled up even further in the NSF IceCube project, a much larger one-kilometer cube telescope array that will produce 20 times as much data, one terabyte per day or some 300 terabytes annually. Silvestri points out that “this will drive the need for even larger data, computational, and network resources at SDSC to better answer questions about the most energetic events in the history of the Universe.”

References:
A. Silvestri et al, Performance of AMANDA-II using data from Transient Waveform Recorders, Proceedings of 29th International Cosmic Ray Conference, Pune, India August 3-10, 2005.
A. Silvestri et al, The AMANDA Neutrino Telescope, Proceedings of International School of Cosmic Ray Astrophysics. Erice, Italy July 2-13, 2004.

Related Links:
Antarctic Muon and Neutrino Detector Array (AMANDA) –
http://amanda.uci.edu/
Andrea Silvestri – http://www.ps.uci.edu/~silvestri
Steven Barwick – http://www.ps.uci.edu/physics/barwick.html

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Hedge Funds (with Supercomputing help) Rank First Among Investors

May 22, 2017

In case you didn’t know, The Quants Run Wall Street Now, or so says a headline in today’s Wall Street Journal. Quant-run hedge funds now control the largest Read more…

By John Russell

IBM, D-Wave Report Quantum Computing Advances

May 18, 2017

IBM said this week it has built and tested a pair of quantum computing processors, including a prototype of a commercial version. That progress follows an an Read more…

By George Leopold

PRACEdays 2017 Wraps Up in Barcelona

May 18, 2017

Barcelona has been absolutely lovely; the weather, the food, the people. I am, sadly, finishing my last day at PRACEdays 2017 with two sessions: an in-depth loo Read more…

By Kim McMahon

US, Europe, Japan Deepen Research Computing Partnership

May 18, 2017

On May 17, 2017, a ceremony was held during the PRACEdays 2017 conference in Barcelona to announce the memorandum of understanding (MOU) between PRACE in Europe Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Exploring the Three Models of Remote Visualization

The explosion of data and advancement of digital technologies are dramatically changing the way many companies do business. With the help of high performance computing (HPC) solutions and data analytics platforms, manufacturers are developing products faster, healthcare providers are improving patient care, and energy companies are improving planning, exploration, and production. Read more…

NSF, IARPA, and SRC Push into “Semiconductor Synthetic Biology” Computing

May 18, 2017

Research into how biological systems might be fashioned into computational technology has a long history with various DNA-based computing approaches explored. N Read more…

By John Russell

DOE’s HPC4Mfg Leads to Paper Manufacturing Improvement

May 17, 2017

Papermaking ranks third behind only petroleum refining and chemical production in terms of energy consumption. Recently, simulations made possible by the U.S. D Read more…

By John Russell

PRACEdays 2017: The start of a beautiful week in Barcelona

May 17, 2017

Touching down in Barcelona on Saturday afternoon, it was warm, sunny, and oh so Spanish. I was greeted at my hotel with a glass of Cava to sip and treated to a Read more…

By Kim McMahon

NSF Issues $60M RFP for “Towards a Leadership-Class” System

May 16, 2017

In case you missed it, the National Science Foundation issued the request for proposals (RFP) for the next ‘Towards a Leadership-Class Computing Facility – Read more…

By John Russell

Cray Offers Supercomputing as a Service, Targets Biotechs First

May 16, 2017

Leading supercomputer vendor Cray and datacenter/cloud provider the Markley Group today announced plans to jointly deliver supercomputing as a service. The init Read more…

By John Russell

HPE’s Memory-centric The Machine Coming into View, Opens ARMs to 3rd-party Developers

May 16, 2017

Announced three years ago, HPE’s The Machine is said to be the largest R&D program in the venerable company’s history, one that could be progressing tow Read more…

By Doug Black

What’s Up with Hyperion as It Transitions From IDC?

May 15, 2017

If you’re wondering what’s happening with Hyperion Research – formerly the IDC HPC group – apparently you are not alone, says Steve Conway, now senior V Read more…

By John Russell

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

HPE Launches Servers, Services, and Collaboration at GTC

May 10, 2017

Hewlett Packard Enterprise (HPE) today launched a new liquid cooled GPU-driven Apollo platform based on SGI ICE architecture, a new collaboration with NVIDIA, a Read more…

By John Russell

IBM PowerAI Tools Aim to Ease Deep Learning Data Prep, Shorten Training 

May 10, 2017

A new set of GPU-powered AI software announced by IBM today brings automation to many of the tedious, time consuming and complex aspects of AI project on-rampin Read more…

By Doug Black

Bright Computing 8.0 Adds Azure, Expands Machine Learning Support

May 9, 2017

Bright Computing, long a prominent provider of cluster management tools for HPC, today released version 8.0 of Bright Cluster Manager and Bright OpenStack. The Read more…

By John Russell

Microsoft Azure Will Debut Pascal GPU Instances This Year

May 8, 2017

As Nvidia's GPU Technology Conference gets underway in San Jose, Calif., Microsoft today revealed plans to add Pascal-generation GPU horsepower to its Azure clo Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia's K80 GPU (see our coverage Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

Since our first formal product releases of OSPRay and OpenSWR libraries in 2016, CPU-based Software Defined Visualization (SDVis) has achieved wide-spread adopt Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a ne Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling Read more…

By Steve Campbell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Eng Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular Read more…

By John Russell

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

As China continues to prove its supercomputing mettle via the Top500 list and the forward march of its ambitious plans to stand up an exascale machine by 2020, Read more…

By Tiffany Trader

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of "quantum supremacy," researchers are stretching the limits of today's most advance Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This