D-OSTS (RHESSI Group Project)
Overview
This project focuses on modeling the re-entry trajectory of a satellite currently in a deteriorating orbit around Earth. As atmospheric drag significantly influences its path near perigee, the satellite has become uncontrollable. Ground-based radar stations are monitoring its position periodically. The primary objective is to predict the potential impact location of the satellite upon re-entry.
Project Structure
Introduction: Provides background information and the motivation behind the project.
System Architecture: Details the design and components of the predictive modeling system.
Documentation: Offers comprehensive information on the methodologies and tools used.
Tutorial: Guides users through the setup and execution of the predictive models.
Getting Started
To explore the project's documentation and tutorials, visit the Documentation.
License © 2025 Jai Bharaj, Tom Miller, David Dukov, Linan Yang, Kunlin Cai.
Metadata
Release files for dosts 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dosts-1.0.0.tar.gz | 24.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dosts-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.6 kB
Release files / dosts-1.0.0.tar.gz
| Download URL | dosts-1.0.0.tar.gz |
|---|---|
| Size | 24.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
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Release files / dosts-1.0.0-py3-none-any.whl
| Download URL | dosts-1.0.0-py3-none-any.whl |
|---|---|
| Size | 26.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
|