Announcements of Opportunity
SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program.
Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor.
Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions! Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor.
Announcements for external summer programs are listed here.
New for 2021: Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.
Students pursuing opportunities at JPL must be
U.S. citizens or U.S. permanent residents.
|Project:||Simulating the Radio Sky for the DSA-2000|
|Disciplines:||Astronomy, Computer Science|
Professor of Astronomy, (PMA),
|Background:||The DSA-2000 is proposed to be a next-generation radio telescope consisting of 2000 x 5m dishes and will be the most powerful radio telescope ever built. The DSA-2000 will be the first radio telescope to make images of the sky directly, using a "radio camera" approach. Development of the algorithms and software to realize the radio camera is funded via Schmidt Futures. An important step is to simulate (forward model) the telescope and generate synthetic data to demonstrate that the radio camera approach is viable.|
|Description:||The project will involve using a simulation of populations of radio sources (https://arxiv.org/abs/1805.05222) to generate model sky data that will then be used the create DSA-2000 images. In addition, the student will work on the survey strategy utilized by the DSA-2000 to survey the sky. The student will work closely with Prof. Hallinan and graduate student Yuping Huang (email@example.com) and the rest of the Radio Camera Initiative team.|
|Student Requirements:||Familiarity with programming in a Linux environment, preferably including Python.|
This AO can be done under the following programs:
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