Finding hidden neutrinos with MicroBooNE

Categories: Intensity Frontier
Published on: February 26, 2020
The display shows the decay of a heavy neutrino as it would be measured in the MicroBooNE detector. Scientists use such simulations to understand what a signal in data would look like. Image: MicroBooNE collaboration

Neutrinos have baffled scientists for decades as their properties and behavior differ from those of other known elementary particles. Their masses, for example, are much smaller than the masses measured for any other elementary matter particle we know. They also carry no electric charge and  interact only very rarely – through the weak force — with matter. At Fermilab, a chain of accelerators generates neutrino beams so researchers can study neutrino properties and understand their role in the formation of the universe.
By Owen GoodwinDavide PorzioStefan Söldner-Rembold and Yun-Tse Tsai .

You can read the entire article here, at the Fermilab News website.

High-resolution MicroBooNE detector provides new details in neutrino-argon interaction measurement

Categories: Intensity Frontier
Published on: January 29, 2020
A neutrino candidate event selected by this analysis is shown as a bird’s-eye view of the MicroBooNE detector. In this view, neutrinos arrive from the left. The five prongs show five particles that have been produced by a neutrino interaction with an argon atom. The longest prong is the candidate muon, going backwards with respect to the neutrino direction.

The most recent physics result from the MicroBooNE experiment provides one of the very first rigorous tests of our understanding of neutrino interactions with argon. The paper, published in Physical Review Letters, presents the first ever measurement of neutrino interactions on argon as a function of the momentum and angle of the muon, a particle produced in the interaction (technically called a “double-differential cross section measurement”).


By Anne Schukraft and Marco Del Tutto. You can read the article here.

MicroBooNE demonstrates use of convolutional neural networks on liquid-argon TPC data for first time

Categories: Intensity Frontier
Published on: May 1, 2019

This example image shows a charged-current neutrino interaction with decay gamma rays from a neutral pion (left). The label image (middle) is shown with the output of U-ResNet (right) where track and shower pixels are shown in yellow and cyan color respectively.

It is hard these days not to encounter examples of machine learning out in the world. Chances are, if your phone unlocks using facial recognition or if you’re using voice commands to control your phone, you are likely using machine learning algorithms — in particular deep neural networks.

By  Victor GentyKazuhiro Terao and Taritree Wongjirad

Read the article here.

MicroBooNE measures charged-particle multiplicity in first neutrino-beam-based result

Categories: Intensity Frontier
Published on: March 13, 2019

This plot shows the azimuthal angle difference distribution for events with an observed multiplicity of two for data (points with error bars) and model (histogram). The peaks near positive and negative pi indicate presence of the quasielastic scattering process, while the distribution between the peaks is consistent with predicted contributions from resonance production. The shaded blue area is the estimated cosmic ray background.

MicroBooNE’s first neutrino-beam-based physics result, submitted to the journal Physics Review D this spring, launches the experiment’s journey along this path.

https://news.fnal.gov/2018/05/microboone-measures-charged-particle-multiplicity-in-first-neutrino-beam-based-result/

May 31, 2018 – By Tim Bolton and Aleena Rafique

Perfecting the noise-canceling neutrino detector

Categories: Uncategorized
Published on: January 24, 2019

This two-dimensional event display shows the raw signal (a) before and (b) after offline noise filtering. Clean event signatures were recovered once all excess noise was removed.

If you have ever tried to watch a movie or listen to music on a plane, then you know the problem well: The roar of the engines makes it difficult to hear what’s being piped through the speakers — even when those speakers are situated in or on your ear. 

In a similar manner, at the MicroBooNE detector we identify and filter out several excess noise sources.

Click on this to go to the Fermilab News article:

MicroBooNE sees first accelerator-born neutrinos

Categories: Intensity Frontier
Published on: November 3, 2015

This display shows a neutrino event candidate in the MicroBooNE detector. Image: MicroBooNE

Today the MicroBooNE collaboration announced that it has seen its first neutrinos in the experiment’s newly built detector.

http://www.fnal.gov/pub/today/archive/archive_2015/today15-11-02.html, by Chris Patrick

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