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 industry updates delivered to you every week!

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire