Smart Telescopes - Interesting videos from Youtube.

 This Post contains videos and information about "Smart Telescopes". If you are planning to but "Smart Telescope", then watch the video before buying it!

Some of the Smart Telescopes

  • Seestar S50


  • Seestar S30


  • DWARF 3

To know more about the above kindly visit below Youtube channels links.

https://www.youtube.com/@AstroForumSpace

DWARF 3 VS Seestar S50 Smart Telescope Review + Tutorial


https://www.youtube.com/@the_space_koala

SeeStar S30 Tried & Tested - Does The Smallest Telescope Ever Measure Up to The S50?


Credits-

https://www.youtube.com/@AstroForumSpace

https://www.youtube.com/@the_space_koala



Comments

Post a Comment

Popular posts from this blog

Astronomy Python - Crab Nebula - Combine RGB channel images into One Image

Image
 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
Read more

Python code to fetch Eta Carinae nebula FITS image and Display

Image
In Astronomy, there will be needs to extract Images from FITS format file for further analysis or research, Below is the Two steps code for "getting image link" and "fetching & displaying image from the link"  The code uses python libraries such as PYVO,  Astropy, Matplotlib STEP 1-excute below code to get url of the astronomical object import pyvo as vo from astropy.coordinates import SkyCoord from astropy.units import Quantity pos = SkyCoord.from_name('Eta Carina') #Eta Carina Nebula size = Quantity(0.5, unit="deg") sia_service = vo.dal.SIAService("http://dc.zah.uni-heidelberg.de/hppunion/q/im/siap.xml") sia_results = sia_service.search(pos=pos, size=size) sia_results  -------------- its will list all FITS format image from online repository------------ <Table length=8> accref ...
Read more

Astronomy Python - Webb's First Deep Field - Marking the Edges of the Galaxies

Image
  In Astronomy, the image taken by telescopes of deep space field, galaxies, planets may appear to be complex - it may be difficult to find boundaries of objects when objects are too near. Or  simply one would like to know the shape of the object. Edge detection technique is used in image processing for finding the boundaries of objects within the image. Edge detection would be very useful while analyzing such difficult images. Below is the sample image taken by James Webb telescope. Image Credits: NASA, ESA, CSA, STScI Below is grey image(left) and edge detection image(right) An edge detection operato r used in the above example is called as Canny edge detector Below is the python code used. ********************************************************************** import cv2 import numpy as np import matplotlib.pyplot as plt # read the image image = cv2.imread("E:\\astronomy_related\\edge_detection\\webb_first_deep_field.jpeg") # convert it to grayscale gray = cv2.cvtColor(ima
Read more