The Data Portfolio is a compendium of particle physics classroom activities organized by Data Strand, Level of student engagement, Curriculum Topics and NGSS Standards. Follow the links provided for information about using the Data Portfolio to plan your students’ experience. Level descriptions explain the data analysis skills that students apply at each level: tasks in Level 0 are simpler than those in Levels 1 and 2...
...While each level can be explored individually, students who start in one level and progress to more complex levels experience increasingly engaging and challenging tasks. These activities are aligned with NGSS Standards, particularly NGSS Practices.
Each Curriculum Topic provides connections between topics routinely covered in physics class and particle physics content and methods. Use the menus to find activities related to the content you are currently covering. Watch this screencast to learn more about sorting these activities.
We are making Spanish Language versions of the activities. To find the activities with Spanish versions, use the Curriculum Topics menu, scroll to the bottom, select Spanish Language then Apply.. Special thanks to Danelix Cordero-Rosario from the Puerto Rico Center for providing these translations.
QuarkNet has entered the world of data science. Use the Curriculum Topic menu to locate the Skill: Coding option then Apply.
We want your feedback on how the activities worked for you. Please complete the feedback form to help us improve our activities.
Activity Name | Data Strand | Level | Curriculum Topics | NGSS Practices |
---|---|---|---|---|
![]() In this activity, students use authentic detector data to apply simple 1D kinematics (v=d/t), interpret graphical data, and evaluate measurement uncertainties. |
Cosmic Ray | Level 1 | Kinematics, Nature of Matter, Skill: Graphing, Skill: Histograms, Skill: Uncertainty | 2, 3, 4, 5, 7, 8 |
![]() Rolling dice serves as the model for decaying particles. |
Cosmic Ray, LHC | Level 1 | Half-Life/Mean Lifetime, Skill: Developing Models, Skill: Histograms, Spanish Language | 2, 4, 5, 7 |
![]() Lesson #3 in QuarkNet STEP UP Series on diversity and inclusion. |
Level 2 | Diversity & Inclusion | ||
![]() Students measure the effects of electric and magnetic fields on particles. |
LHC | Level 2 | Electricity & Magnetism, Instrumentation, Skill: Developing Models, Skill: Graphing | 1, 2, 3, 4, 5, 6, 7, 8 |
![]() 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. |
LHC | Level 2 | Conservation Laws, Nature of Matter, Skill: Histograms, Skill: Uncertainty | 1, 2, 4, 5, 6, 7, 8 |
![]() Students are physicists for a day at a university or lab where they work with physiists to how to analyze real particle physics data in the form of event displays. |
LHC | Level 2 | Conservation Laws, Nature of Matter, Skill: Histograms, Skill: Uncertainty | 1, 2, 4, 5, 6, 7, 8 |
![]() Students are physicists for a day at a university or lab where they work with physicists to how to analyze real particle physics data in the form of event displays. |
LHC | Level 2 | Conservation Laws, Nature of Matter, Skill: Histograms, Skill: Uncertainty | 1, 2, 4, 5, 6, 7, 8 |
![]() 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. |
LHC | Level 2 | Conservation Laws, Nature of Matter, Skill: Histograms, Skill: Uncertainty | 1, 2, 4, 5, 6, 7, 8 |
![]() 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. |
Cosmic Ray, Neutrino | Level 2 | Half-Life/Mean Lifetime, Kinematics, Nature of Matter, Skill: Developing Models, Skill: Histograms, Skill: Uncertainty | 2, 3, 4, 5, 7, 8 |
![]() CMS Data Express is a short investigation in which students inspect and characterize W or Z events from the LHC. |
LHC | Level 2 | Conservation Laws, Nature of Matter, Skill: Developing Models, Skill: Histograms, Skill: Uncertainty | 1, 2, 4, 5, 6, 7, 8 |