Rubin Observatory’s Orbitviewer app 🌌 Ever wondered where planets, asteroids, or comets are right now in the solar system? OrbitViewer brings it to life with stunning 3D visuals! 🚀 This interactive tool lets you explore real-time orbits of thousands of celestial bodies — from Mercury to interstellar visitors. 🔠Perfect for students, space fans, or anyone curious about our cosmic neighborhood. 🛰️ Track spacecraft, zoom through asteroid belts, and even simulate planetary alignments! 📱 It’s web-based and user-friendly — no downloads or installs needed. Start your space adventure here: https://orbitviewer.app/en/ ðŸŒ
Note - Content is free but you may have to pay for certificate. There are many astronomy courses , refer to below link- https://www.coursera.org/search?query=astronomy&=
In Astronomy, Image taken by cameras would be based on specific filters(channels)-Red, Green, Blue. Below are the the images taken across 3 channels. Red(Left), Green(Centre), Blue(Right) Original image credit(single image which is not shown here)- Credits: NASA, ESA, J. Hester and A. Loll (Arizona State University) Below is result after combining above 3 channel images Below is the python code used. Original Carb Nebula image is spitted into 3 channels(as shown 3 gray images above) *************************************************** from PIL import Image # Open the red, green, and blue channel images red_channel = Image.open('E:\\astronomy_related\\rbg_one\\red.png') green_channel=Image.open('E:\\astronomy_related\\rbg_one\\green.png') blue_channel =Image.open('E:\\astronomy_related\\rbg_one\\blue.png') # Create a new RGB image result = Image.merge("RGB", (red_channel, green_channel, blue_channel)) # Save the result image result.save('E:\\astr...
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