# QuarkNet Data Portfolio

A collection of proven instructional activities developed around data strands that help students develop an understanding about how scientists make discoveries.

The Data Portfolio organizes activities by data strand and level of student engagement. Activities differ in complexity and sophistication—tasks in Level 1 are simpler than those in Levels 2 and 3. While each level can be explored individually, students that start in one level and progress to more complex levels experience increasingly engaging and challenging tasks. Teachers select activities to offer a learning experience of an appropriate length and level for their students.

A collection of proven instructional activities developed around data strands that help students develop an understanding about how scientists make discoveries.

The Data Portfolio organizes activities by data strand and level of student engagement. Activities differ in complexity and sophistication—tasks in Level 1 are simpler than those in Levels 2 and 3. While each level can be explored individually, students that start in one level and progress to more complex levels experience increasingly engaging and challenging tasks. Teachers select activities to offer a learning experience of an appropriate length and level for their students.

Activity Name | Data Strand | Level | Curriculum Topics | NGSS Practices | Topic | |
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CMS Masterclass WZH-path Students are physicists for a day at a university or lab where they work with physicists to learn how to analyze real particle physics data in the form of event displays. |
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Energy, Momentum, and Mass Students examine data to find how energy, momentum, and mass are related. |
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Histograms: Uncertainty Students construct histograms, identify the best value to represent the data, and report the uncertainty in their answers. |
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Histograms: The Basics Students build basic histogram skills required in many of the other activities in the Data Activities Portfolio. |
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What Heisenberg Knew Heisenberg knew that, at the quantum level, we cannot know everything, at least not all at once. Students explore uncertainties in measurements of complimentary variables to find this out for themselves. |
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Mean Lifetime Part 3: MINERvA Students collect data from muons which decay in the MINERvA detector in the Fermilab NuMi beamline to understand particle decay and determine the muon lifetime. |
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The Case of the Hidden Neutrino Students use momentum conservation to examine the decay of top-antitop pairs to determine what is missing from the event. |
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Mean Lifetime Part 1: Dice Rolling dice serves as the model for decaying particles. |
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Signal and Noise: Cosmic Muons In this introductory tutorial that, students learn about how to distinguish muon signals from background and instrumental noise. |
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Signal and Noise: The Basics Students analyze signals and noise first in audio and video forms and then look at signals and noise from physics measurements. |