From f2b0fda24c7646b95f1347704a151c93cda1ece7 Mon Sep 17 00:00:00 2001
From: Nils Heinonen <110477819+nheinonen@users.noreply.github.com>
Date: Thu, 18 Apr 2024 09:31:34 -0500
Subject: [PATCH] Update cosmictagger.md

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 _performancehighlights/cosmictagger.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_performancehighlights/cosmictagger.md b/_performancehighlights/cosmictagger.md
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--- a/_performancehighlights/cosmictagger.md
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@@ -19,7 +19,7 @@ image: 'Adams-cosmictagger.png'
 
 
 # Challenge
-The CosmicTagger project deals with the detection of neutrino interactions in a detector overwhelmed by cosmic particles. The goal is to differentiate and classify each pixel so as to separate cosmic pixels, background pixels, and neutrino pixels in a neutrinos dataset. The technique uses multiple 2D projections of the same image, with each event generating three images of raw data. The training model utilizes a UResNet architecture for multi-plane semantic segmentation and is available in both PyTorch and Tensorflow with single node and distributed-memory multi-node implementations.
+The CosmicTagger project deals with the detection of neutrino interactions in a detector overwhelmed by cosmic particles. The goal is to differentiate and classify each pixel so as to separate cosmic pixels, background pixels, and neutrino pixels in a neutrino dataset. The technique uses multiple 2D projections of the same image, with each event generating three images of raw data. The training model utilizes a UResNet architecture for multi-plane semantic segmentation and is available in both PyTorch and Tensorflow with single node and distributed-memory multi-node implementations.