From the organization:NASA Zooniverse Projects

Check out our new workflow: "Fermi: Pulse shapes"! It includes over 2000 new GRBs from the NASA Fermi Gamma-Ray Space Telescope. Please help us classify these GRBs! (The Fermi workflow is only available in English at this moment.)

Burst Chaser

Unveiling the mysterious origin of gamma-ray bursts

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From the organization:NASA Zooniverse Projects
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Start from the optional "Practice: Pulse or Noise?" workflow if you would like some guidance on how to identify pulse from noise. Start from the optional "Practice: Pulse shapes" to get some more feedback on each pulse structure. Check out "What is a pulse?" in the Field Guide for more on the difference between a pulse and noise. Once you are comfortable recognizing a pulse and the pulse structure, you can choose to do either the "Pulse shapes" or "Where are pulses?" workflows. Feel free to choose whichever workflow that you like. You can also switch between them as you please. If you have any questions, please post it in the TALK section (on the upper-right side of the page next to the "Classify" tab.

Zooniverse Talk

Chat with the research team and other volunteers!

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    Project launched January 8, 2024

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    Message from the researcher

    AmyLien avatar

    Gamma-ray bursts can relate to supernovae, black holes, and neutron stars. But their true nature is hidden behind the diverse pulse shapes. We need your help to classify these pulses for more clues of what they really are!

    AmyLien

    About Burst Chaser

    In this project, we need your help on classifying light curves of Gamma-ray bursts (GRBs), one of the most energetic explosions in the universe!

    The shape of the pulses encodes the information of whether they originate from explosions of massive stars, or merging of neutron stars and black holes. We need your help to flag GRBs with specific pulse shapes that will help astronomers to solve the mystery of their physical origins. Your eyes can quickly classify pulse shapes and other patterns in the data that we haven’t yet been able to teach a computer to spot.

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