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Listening Quiz: Thảo Luận về Quy Trình Giảm Dữ Liệu cho Quan Sát Kính Viễn Vọng – Advanced Level
Th6 28, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà vật lý học (English for Physicist)
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1.
What are Sarah and David mainly discussing?
How to schedule future star observations
How to publish the results of an astronomy paper
How to repair telescope hardware
How to reduce and calibrate telescope observation data
Explanation:
They discuss the steps in a data reduction pipeline, including bias subtraction, flat-field correction, cosmic ray removal, image alignment, stacking, and flux calibration.
2.
What does Sarah say bias subtraction will remove?
Physical units in the data
Electronic noise
Pixel sensitivity variations
Bright spots caused by cosmic rays
Explanation:
Sarah says, ‘bias subtraction will remove the electronic noise.’
3.
Why is image alignment important, according to David?
It removes the electronic noise from the raw data
It improves the signal-to-noise ratio when stacking multiple exposures
It converts counts to physical units
It helps prepare the standard stars for calibration
Explanation:
David says, ‘Image alignment is important for stacking multiple exposures,’ and Sarah adds that stacking will improve the signal-to-noise ratio.
4.
What can be inferred about the data after the pipeline is complete?
It will still contain many bright spots
It will no longer need any calibration
It will be converted into telescope hardware settings
It will be less noisy and more suitable for analysis
Explanation:
The pipeline includes noise removal, correction steps, alignment, stacking, and flux calibration, so the processed data would be cleaner and more suitable for analysis.
5.
What does Sarah say they observed last night?
Only flat-field images
A set of cosmic rays
Several standard stars
Multiple telescope malfunctions
Explanation:
Sarah says, ‘Yes, we observed several standard stars last night.’
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