symmetry magazine

dimensions of particle physics

dimensions of particle physics

A joint Fermilab/SLAC publication

 

big data

February 2014

  • February 20, 2014
    day in the life: Statistically significant
    Michelangelo D’Agostino taps his physics ingenuity daily as a data scientist.

January 2014

November 2013

  • November 22, 2013
    signal to background: Mock data, real science
    In scientific circles, “mock” is not always a four-letter word. Through mock-data competitions, astrophysicists check their work.

October 2013

  • October 1, 2013
    deconstruction: US participation in the Higgs discovery
    The search for the Higgs at experiments at the Large Hadron Collider was an international effort involving thousands of people, with physicists and engineers from US institutions playing a significant role throughout.

September 2013

  • September 30, 2013
    signal to background: Physics computing innovation benefits multitude
    Millions around the world, both scientists and non-scientists, use Scientific Linux, an operating system developed for particle physics.
  • September 25, 2013
    signal to background: More than a game
    Astrophysicists find a new use for the video cards that give computer games that movie quality: crunching scientific data.
  • September 24, 2013
    feature: The great physics quest
    In their search for fundamental truths, particle physicists have a lot in common with explorers everywhere. 

July 2013

  • July 1, 2013
    feature: Big data and the X-ray laser
    Ultrafast experiments at SLAC’s Linac Coherent Light Source require powerful, unique data systems adapted from particle physics.

June 2013

  • June 13, 2013
    breaking: CERN computing heads to Eastern Europe
    To deal with increasingly data-hungry experiments at the Large Hadron Collider, CERN has built an addition to its data center—in Budapest.

April 2013

  • April 30, 2013
    signal to background: Free from the start
    Since CERN released the World Wide Web without royalties 20 years ago, the technology has flourished.

October 2012

  • October 19, 2012
    signal to background: Learning to play the dark matter boogie
    A growing suite of computational instruments is helping scientists determine how fast local concentrations of dark matter move, which in turn could help them cut in on the dance of dark matter particles.

September 2012

August 2012

  • August 23, 2012
    breaking: How to grow a universe – just add a supercomputer
    Researchers have created the most realistic simulation of cosmic evolution to date.
  • August 8, 2012
    breaking: LHCb experiment collects record amount of data
    The LHCb experiment at CERN has collect a record amount of data this year, already surpassing the amount it collected in all of 2011.
  • August 1, 2012
    deconstruction: Big data
    Big science takes both big data and big cooperation. For the Large Hadron Collider at CERN, storing, analyzing and accessing 25 petabytes of data each year requires a worldwide effort that spans more than 100 institutions in 36 countries. Here’s how it works.
  • August 1, 2012
    feature: Particle physics tames big data
    As science produces an ever-growing flood of information, researchers in many fields struggle with how to collect, store, manage and distribute “big data.” Perhaps they could learn a thing or two from particle physics, a field that's been awash in enormous data sets for decades.

July 2012

  • July 24, 2012
    breaking: A little light (or rather, massive) Higgs music
    Thanks to a few creative scientists, the recent discovery of a Higgs-like particle is music to more than just particle physicists’ ears.
  • July 9, 2012
    breaking: The statistics of scientific discovery
    In this video, Fermilab physicist explains how figuring out whether a discovery is real or just a matter of luck is similar to judging the fairness of a pair of dice. It all comes down to statistics.
  • July 1, 2012
    explain it in 60 seconds: Sigma
    Sigma is a unit that describes how much a set of experimental data deviates from what’s expected.

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