Submission information
Submission Number: 160
Submission ID: 2826
Submission UUID: 9b2959ad-74bc-4f05-ad69-9f6f98884559
Submission URI: /form/project
Created: Tue, 01/31/2023 - 12:28
Completed: Tue, 01/31/2023 - 12:32
Changed: Mon, 06/26/2023 - 17:54
Remote IP address: 76.152.53.161
Submitted by: Michael Seifert
Language: English
Is draft: No
Webform: Project
| Project Title | Searching for Signals of Cosmic Anisotropy |
|---|---|
| Program | CAREERS |
| Project Image | |
| Tags | |
| Status | Finishing Up |
| Project Leader | Michael Seifert |
| mseifer1@conncoll.edu | |
| Mobile Phone | |
| Work Phone | |
| Mentor(s) | Thomas Langford |
| Student-facilitator(s) | Wyatt Carbonell, Azade Modaressi |
| Mentee(s) | |
| Project Description | In recent years, many physicists have begun to investigate the role of Lorentz symmetry in physics and whether it could be broken. One mechanism by which this could be broken is with a spacetime vector field; but the energy and pressure of this field would likely result in a slight anisotropic expansion of the Universe, which could be observable through statistical analysis of cosmological signals such as supernova data. However, allowing for this anisotropy also increases the dimension of the parameter space involved. In 2019, two students performed an initial analysis and found some intriguing results. Their code involved running an MCMC code in Mathematica to sample a restricted parameter subspace, and find the most likely values of various cosmological parameters in this restricted space. Complicating matters, the objective function being optimized in this analysis was itself a non-linear function of the parameters, and required the solution of numerical integrals at each step. I would like to extend this initial analysis to the full parameter space. This will require optimization of code and porting to a language with less computational “overhead” (probably Python, but other options might be viable as well.) |
| Project Deliverables | The main deliverable for this project will be a computer code capable of performing MCMC analysis for this problem on a larger parameter space, and which could be deployed on an HPC cluster. |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | |
| Mentee Programming Skill Level | |
| Project Institution | Connecticut College |
| Project Address | |
| Anchor Institution | CR-Yale |
| Preferred Start Date | |
| Start as soon as possible. | Yes |
| 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 |
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| 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? | Ultimately this code would be deployed & run on an HPC cluster. Unfortunately, my institution does not have such a facility. If time allows, this could be done as part of the 12-week CAREERS project. If not, it may be possible to get internal funding from my institution and apply for time via ACCESS or other programs. [Note: They can use one of Yale's HPCs] |
| 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 |