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HNSKY or Hallo Northern Sky is a free and open-source planetarium program for Linux, macOS, Microsoft Windows, and Raspberry Pi to simulate the night sky. It is provided with several non-English language modules, numerous astronomical catalogues, conversion utilities and tools, as well as several stellar databases.
Astronomy Monitored and studied the hazards posed by near-earth asteroids. [252] Yes Pi Segment 2006 Independent project Mathematics Looked for specific digits (in binary) of Pi and make volunteer computing more popular in China [253] No Pirates@Home: 2004-02-06 [254] 1 Vassar College. 2 Spy Hill Research [254] Software testing
Listed here are software packages useful for conducting scientific research in astronomy, and for seeing, exploring, and learning about the data used in astronomy. Package Name Pro
The original SETI client was a non-BOINC software exclusively for SETI@home. It was one of the first volunteer computing projects, and not designed with a high level of security. As a result, some participants in the project attempted to cheat the project to gain "credits", while others submitted entirely falsified work.
MilkyWay@home is a volunteer computing project in the astrophysics category, running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform. Using spare computing power from over 38,000 computers run by over 27,000 active volunteers as of November 2011, [3] the MilkyWay@home project aims to generate accurate three-dimensional dynamic models of stellar streams in the ...
The STARS real-time star tracking software operates on an image from EBEX 2012, a high-altitude balloon-borne cosmology experiment launched from Antarctica on 2012-12-29. A star tracker is an optical device that measures the positions of stars using photocells or a camera. [1]
In addition to astronomy, applications for high precision attitude dynamics and control and highly stabilized imaging from space and near-space environments include high resolution earth observation and high-bandwidth laser-based telecommunications systems, both in research and for commercial sectors.
The project utilizes graphics processing units (GPUs), central processing units (CPUs), and ARM processors like those on the Raspberry Pi for distributed computing and scientific research. The project uses statistical simulation methodology that is a paradigm shift from traditional computing methods. [7]