Submission Number: 196
Submission ID: 4466
Submission UUID: a3fa6afc-e4ff-4b27-99a3-b1c2c0d365b6
Submission URI: /form/project

Created: Sat, 04/06/2024 - 05:58
Completed: Sat, 04/06/2024 - 06:01
Changed: Tue, 04/22/2025 - 11:06

Remote IP address: 104.28.39.76
Submitted by: Gaurav Khanna
Language: English

Is draft: No
Webform: Project
Project Title Waveform Systematics for Black Hole Binary Mergers Models (extension)
Program CAREERS
Project Image
Tags ai (271), AI/ML (802), astrophysics (297), conda (227), cuda (222), distributed-computing (92), jupyterhub (214), neural-networks (435)
Status Complete
Project Leader Michael Puerrer
Email mpuerrer@uri.edu
Mobile Phone
Work Phone
Mentor(s)
Student-facilitator(s) Samuel Clyne
Mentee(s)
Project Description This is an extension of project "Waveform Systematics for Black Hole Binary Mergers Models". That project leveraged the ML Dingo code to compute posterior distribution for gravitational wave signals and created a visual map of measures of discrepancies between the posteriors
obtained for different waveform families for the same set of signals. In this extension we aim to generalize the analysis to more generic black hole binaries sources which can undergo precession of the orbital plane and black hole spins.

Following the first project, the student will focus on training more complex neural networks, perform Bayesian inference with the Python-based Dingo code, and extend the visualizations of discrepancies between posterior distribution on URI’s UNITY cluster.
Project Deliverables
Project Deliverables
Student Research Computing Facilitator Profile
Mentee Research Computing Profile
Student Facilitator Programming Skill Level Some hands-on experience
Mentee Programming Skill Level
Project Institution University of Rhode Island -- Center for Computational Research
Project Address
Anchor Institution CR-University of Rhode Island
Preferred Start Date
Start as soon as possible. No
Project Urgency Already behind3Start date is flexible
Expected Project Duration (in months) 3
Launch Presentation
Launch Presentation Date
Wrap Presentation
Wrap Presentation Date
Project Milestones
  • Milestone Title: Milestone #1
    Milestone Description: The student will leverage the Dingo code to train networks for precessing binaries and perform inference over a larger grid of signal parameters which now also vary over in-plane black hole spins; launch presentation.
    Completion Date Goal: 2024-04-30
  • Milestone Title: Milestone #2
    Milestone Description: The student will implement simple waveform inner products ("overlaps") between signals and template waveforms in Python and will explore whether these
    overlaps can serve to predict measures of discrepancy between posteriors such as the bias.
    Completion Date Goal: 2024-05-31
  • Milestone Title: Milestone #3
    Milestone Description: The student will bring together the results generated in the study and
    will create visualizations of discrepancy measures over the signal parameter space using
    Python notebooks (matplotlib, plotly); wrap presentation.
    Completion Date Goal: 2024-06-30
Github Contributions
Planned Portal Contributions (if any)
Planned Publications (if any)
What will the student learn?
What will the mentee learn?
What will the Cyberteam program learn from this project?
HPC resources needed to complete this project?
Notes
What is the impact on the development of the principal discipline(s) of the project?
What is the impact on other disciplines?
Is there an impact physical resources that form infrastructure?
Is there an impact on the development of human resources for research computing?
Is there an impact on institutional resources that form infrastructure?
Is there an impact on information resources that form infrastructure?
Is there an impact on technology transfer?
Is there an impact on society beyond science and technology?
Lessons Learned
Overall results