Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Twitter Satellite Constellation Visualization Bot

11 minute read

Published:

NOTE:

This post was intended as the start of a series on how to make a Twitter constellation visualization bot. However, recent updates to the Twitter API have meant that the repetitive nature of the posts have blocked the bot so I will be stopping this effort. I tried to modify my code to work with the new API but it has proved too time-consuming. Instead, I will be posting these GIFs to my personal website on a dedicated page.

Tracking Objects in Space: The Rise and Reign of Two-Line Elements

5 minute read

Published:

Brief History of TLEs

Keeping track of objects in space is no easy task. The first real concerted effort to systematically track earth orbiting satellites started back in 1957, with the launch of Sputnik 1. The US government quickly realized they needed a way to keep track of all the objects in space and thus, Project Space Track was born. In the early days, tracking was done through a combination of radar, telescopes, radio, and even citizen observations. These observations were then manually reduced, and corrections were determined in order to generate orbital elements that could be used for predictions.

research-areas

High Fidelity Radiation Pressure Models for Spacecraft.

One area I am particularly excited about is the development of radiation force models for spacecraft in Low Earth Orbit. One of the major challenges that remains in the spacecraft operations community is the lack of an open-source, easy-to-use, and widely accepted community tool for high-accuracy radiation pressure modeling. This gap exists largely because ray-tracing software, which is key to accurate radiation pressure models, is daunting, compute-heavy, and time-consuming to run. Until recently, this level of modeling has been seen as overkill for most low-Earth orbit applications, where drag forces—far more uncertain—dominate the error budget.