Experimental data in theoretical PhD?

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SUMMARY

PhD students in theoretical cosmology, gravitation, and black holes primarily focus on physical theory, predictions, and problem-solving rather than extensive analysis of experimental data. However, understanding raw data, such as redshift data, is crucial for validating theoretical conclusions. The extent of data analysis varies by research group, with some students engaging more deeply with raw images and spectra than others. Familiarity with experimental data enhances the reliability of theoretical work, bridging the gap between theory and experimental physics.

PREREQUISITES
  • Understanding of theoretical physics concepts in cosmology and gravitation.
  • Familiarity with redshift data analysis techniques.
  • Knowledge of observational techniques in astrophysics.
  • Basic skills in data interpretation and statistical analysis.
NEXT STEPS
  • Research methods for analyzing redshift data in cosmology.
  • Learn about observational techniques used in astrophysics.
  • Explore the relationship between theoretical predictions and experimental validation.
  • Study data analysis software commonly used in astrophysics, such as Python libraries for data science.
USEFUL FOR

Undergraduate students pursuing research in astrophysics, aspiring PhD candidates in theoretical physics, and researchers interested in the interplay between theoretical models and experimental data analysis.

muppet
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Hi all,
I was wondering if PhD students in theoretical aspects of cosmology,gravitation, black holes... etc do any/much analysis of experimental data, and just mainly omit observational technique, or if their entire education is in learning physical theory and making predictions and solving problems using it.
The reason I ask is that I'm applying for an undergraduate research bursary for a project that will involve analysing redshift data to make deductions about the large-scale structure of the universe, and I need to know if I'm getting valuable preparation for my intended PhD in a few years, or if I'm rounding out my skill base :biggrin:
Many thanks in advance.
 
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Without the experimental data how do you create the theory?
How much you actually analyse raw images/spectra etc compared to using published values or results of collaborators varies with the group.
But without any experimental data it's not physics it's either maths or philosophy.

ps. It's always useful to know about the raw data - so you know how far the experimentalists conclusions can be trusted.
 
The degree of raw data analysis was the point I was looking to address, thanks.
 

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