| Affiliations: |
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| Project Leader: | Tate Walker tatewalker@tamu.edu Physics & Astronomy |
| Faculty Mentor: |
Dr. Peter Brown, Ph.D.
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Meeting Times:
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TBD |
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Team Size:
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5 (Team Full)
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| Open Spots: | 0 |
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Special Opportunities:
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Presenting findings in a poster session, learning how to write an abstract, learning industry-standard coding practices. As a member of this team, you’ll be exposed to real data-science applications and gain experience working as a team to improve a client’s workflow. You will develop/improve communication and presentation skills.
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Team Needs:
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REQUIRED: Python: Basic understanding (importing packages, loops, functions) and desire to improve skills. Git: Familiarity with the basic Git workflow. Interacting with local and remote repositories via “add”, “commit”, and “push”, comfortable using branches.
PREFERRED: Astronomy/Supernovae: Not required, but a plus. We’ll cover the basics the first week.
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Description:
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Our team is using data on the brightness of exploding stars in the ultraviolet and optical light. To accomplish this, we are automating the data analysis process through Python scripts and supporting data science packages. Our data products will be used to estimate the total energy of the explosions and to predict the amount of light observed from future exploding stars using various ground and space-based observatories.
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