mcp-stargazing
by StarGazer1995
Calculate the altitude, rise, and set times of celestial objects for any location on Earth. It also offers optional light pollution analysis.
Last updated: N/A
What is mcp-stargazing?
mcp-stargazing is a Python package that allows users to calculate the position (altitude and azimuth), rise, and set times of celestial objects, including the Sun, Moon, planets, stars, and deep-space objects. It also provides functionality to load and analyze light pollution maps.
How to use mcp-stargazing?
To use mcp-stargazing, install the required dependencies using pip install astropy pytz numpy astroquery rasterio geopy. Then, use the provided functions in src/celestial.py to calculate celestial positions and rise/set times. The src/light_pollution.py module can be used to load and analyze light pollution maps. Example usage is provided in the README.
Key features of mcp-stargazing
Altitude/Azimuth Calculation
Rise/Set Times Calculation
Light Pollution Analysis
Supports Solar system objects, Stars, and Deep-space objects
Time Zone Aware
Use cases of mcp-stargazing
Planning stargazing sessions
Determining optimal times for astronomical observations
Analyzing the impact of light pollution on visibility
Educational tool for learning about celestial mechanics
Developing astronomy-related applications
FAQ from mcp-stargazing
What celestial objects are supported?
What celestial objects are supported?
The package supports solar system objects (Sun, Moon, planets), stars, and deep-space objects.
How do I specify the location of the observer?
How do I specify the location of the observer?
Use the EarthLocation object from the astropy.coordinates module to define the observer's latitude and longitude.
How do I handle time zones?
How do I handle time zones?
Use timezone-aware datetime objects from the pytz library or Astropy Time objects.
What format are the light pollution maps in?
What format are the light pollution maps in?
Light pollution maps should be in GeoTIFF format.
How can I run the tests?
How can I run the tests?
Run the tests using pytest tests/.