UROP Research Mentor Project Submission Portal: Submission #1297

Submission information
Submission Number: 1297
Submission ID: 21081
Submission UUID: 7aebc4d6-9a3f-4319-a42f-2e7e71455a30

Created: Tue, 08/19/2025 - 01:42 PM
Completed: Tue, 08/19/2025 - 02:02 PM
Changed: Mon, 08/25/2025 - 11:30 AM

Remote IP address: 144.174.212.6
Submitted by: Anonymous
Language: English

Is draft: No

Research Mentor Information

Nao Suzuki
Dr.
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nao.suzuki@fsu.edu
Faculty
Arts and Sciences
Physics
JWST_USPSimage.jpg

Additional Research Mentor(s)

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Overall Project Details

Exploring the Universe where No One has seen before
astronomy, astrophysics, star, galaxy, space telescope
Yes
2
Physics, Physics and Astrophysics, Computer Science
On FSU Main Campus
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In-person
5
During business hours
Our research team works with cutting-edge space telescope data from the James Webb Space Telescope, the European Space Agency’s Euclid mission, and the Hubble Space Telescope. We search for exploding stars, known as supernovae, by comparing newly captured images with archival observations. Amid billions of pixels, identifying these tiny signals is a challenge that requires both human effort and advanced AI training. Along the way, we may uncover remarkable phenomena, gravitational lenses, stars with high proper motion, or even completely unknown objects.
We invite you to help visually inspect images taken by space telescopes and compare them across different epochs. With database expertise, you can contribute by organizing and sorting these large datasets. If you have a computing background, your skills will be valuable in classifying the data into meaningful categories. For those with training in physics or astronomy, there are opportunities to engage in spectral classification and more advanced analysis. Ultimately, after collecting and processing the data, our goal is to analyze the results and extract new scientific insights.
Proficiency in SQL and Python is recommended, and experience in database-driven website development is highly valuable.
Our goal is to develop the skills needed to read, extract, and interpret astronomical data in order to deepen our scientific understanding of the universe. We live in an era of big data, where the ability to evaluate large and complex datasets is increasingly essential. Real observational data often contain instrumental defects, noise, and errors, making the challenge of identifying “the one” meaningful signal among billions of pixels both exciting and broadly applicable across disciplines. This project will be tailored to each participant’s skills, with full respect for diversity and inclusion. Non-physics majors and minors are strongly encouraged to apply. As this is a collaborative effort, we are especially looking for individuals who are enthusiastic team players.
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  • Day: Wednesday, September 3
    Start Time: 4:00
    End Time: 4:30
    Zoom Link: https://us05web.zoom.us/j/84627850994?pwd=Pq6L60PK3ojL1aeuKIjzfpHOtzhKXF.1

UROP Program Elements

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2025
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