Question 1:

What is the purpose of data calibration in astronomical observations?

Explanation: Data calibration in astronomical observations involves removing instrumental effects and biases from the raw data. This ensures that the data accurately represent the true properties of the observed celestial objects.

Question 2:

What is the process of stacking in image processing for astronomical observations?

Explanation: Stacking in image processing involves combining multiple images of the same target to improve the signal-to-noise ratio. By aligning and averaging the images, faint details can be revealed and noise can be reduced.

Question 3:

Which technique is commonly used to remove light pollution in astrophotography?

Explanation: Flat fielding is a technique commonly used in astrophotography to remove light pollution. It involves capturing images of a uniformly illuminated field to create a calibration frame, which is then used to correct for uneven illumination in the actual images.

Question 4:

What is the purpose of image stretching in astronomical image processing?

Explanation: Image stretching in astronomical image processing is used to adjust the brightness and contrast of the image. By stretching the pixel values, faint details can be made more visible without saturating the brighter regions of the image.

Question 5:

Which technique is used to correct for the distortion caused by Earth's atmosphere in ground-based observations?

Explanation: Adaptive optics is a technique used to correct for the distortion caused by Earth's atmosphere in ground-based observations. It involves real-time adjustments to the optics of the telescope to compensate for atmospheric turbulence and improve image quality.