A Web Application for Modeling Anti-Neutrino Emissions
Andrew M. Barna1, Stephen T. Dye2
1Scripps Institution of Oceanography, 2University of Hawaii

Introduction

Going Forward

Geoneutrinos, neutrinos originating from terrestrial sources,
provide clues to the composition and distribution of radiogenic
material within the Earth. However, the uncertainties of the current
geoneutrino measurements are large enough such that no single
earth model has been indicated[1]. Our web-based visualization
allows quick comparisons between several models and evenoffers user defined inputs.

Acknowledgements & Source CodeIn future versions we hope to have a number of additionalfeatures:
I Update to CRUST 1.0
I Inclusion of tomographic mantle models
I Integration of reactor and earth model pages into a single page
Our goal is to implement a useful tool for education as well as theresearch community.

This work was supported in part by Lawrence Livermore NationalLaboratory and National Science Foundation grants through theCooperative Studies of the Earth’s Deep Interior program (EAR0855838 and EAR 1068097). The source code for the model andwebsite are available on github:https://github.com/docotak/geoneutrinos.org

Methods
The web-based earth model uses several data sources as inputs:

The web-based reactor model uses the following sources of data as inputs:

CRUST 2.0 is used for basic crust parameters [2]
I PREM provides the basic physical mantle structure [3]I A precomputed map of crustal neutrino fluxes [4]I A precomputed map of neutrino fluxes from nuclear reactors
I A precomputed map of surface heat fluxes[6]Reactor location, power (thermal), load factors from the IAEA
I Map tiles from OpenStreetMap[5]II

Data were converted to JSON using python scripting language.
Real time calculations are performed in the web browser using JavaScript (JS). The following JS
libraries are used:

Data were converted to JSON using python scripting language.
Real time calculations are performed in the web browser using JavaScript (JS). The following JS
libraries are used:

D3 - Used to draw the spectrum plot
I React - UI Abstraction library for the general user interface
I Leaflet - Used to draw the map tiles
I

D3 - Used to draw the map and colorbar
I jQuery - Used to handle user input events
The webpage uses the Bootstrap library for quick user interface construction and tablet compatibility. Maps are drawn using HTML5 canvas, the overlays (land mass and plate boundaries) and colorbar are drawn using SVG.
IFeaturesOverall Layout

Both earth and reactor pages feature a twocolumn design, with a map on the left and user
input on the right. The earth page map
displays the results from the selected output asa ”heatmap” with a colorbar scale underneath.
The reactor page map is zoomable anddisplays the detector location, and optionallythe location of all IAEA registered reactors.
Both pages have user controls are organized
into categories accessible via labeled tabs.
The pages will adjust their layout to best fit thescreen size, including devices as small as
smartphones.
User Controls
Basic:
II
I
I
I
I
I

Change map display
Change radiogenic sources
Chose BSE preset
Adjust BSE element ratios
Toggle BSE constraint
Adjust BSE element concentrations
Toggle map overlays (continents, plateboundaries)

Output Displays
Mantle:I Chose mantle layer concentration
presets

I 3 modes of input: homogenous mantle,

Crust:
I Ability to toggle crust layers
I Adjust the element concentrations inOutput:
I Output for import into RAT-PAC
I Significance calculator

both continental and oceanic crust

two layer with adjustable depth
boundary, all discrete layers in PREM
I If BSE constrained, two layer mantle
will solve for the layer not being
adjusted

Surface heat flow.

Heat flow across Moho.

Radiogenic intensity of the crust (not the surface heat flux).

Flux of neutrinos from all user-selected sources.

Neutrino signal from all user-selected sources.

Fraction of mantle neutrinos to total surface flux.

Signal ratio of the mantle vs all user-selected sources.

Fractional uncertainty of the mantle signal.

Detector:
I Oscillated neutrino spectrum fromreactor and natural sources
I Many preset detector locations
including: Kamioka, Sudbury, Gran
Sasso

References[1] S. T. Dye, Huang Y., Lekic V., McDonough W.F., & Sramek, O. (2014) Geo-neutrinos and Earth models. Physics Procedia(in press)[2] Bassin, C., Laske, G. and Masters, G., The Current Limits of Resolution for Surface Wave Tomography in North America,
EOS Trans AGU, 81, F897, 2000.
[3] Dziewonski, A.M. and Anderson, D.L., 1981. Preliminary reference Earth model. Phys. Earth Planet. Int., 25, 297-356.
[4] Huang, Y. et al. (2013), A reference Earth model for the heat-producing elements and associated geoneutrino flux,Geochem. Geophys. Geosyst., 14, 2003-2029.
[5] Map data copyrighted OpenStreetMap contributors and available from http://www.openstreetmap.org[6] Davies, J. H. (2013), Global map of solid Earth surface heat flow, Geochem. Geophys. Geosyst., 14,
doi:10.1002/ggge.20271.

Mail: abarna@ucsd.edu

WWW: geoneutrinos.org