Experimental data in theoretical PhD?

In summary, the conversation discusses the involvement of PhD students in theoretical aspects of cosmology, gravitation, and black holes, and whether they also analyze experimental data or solely focus on physical theory. The speaker is applying for an undergraduate research bursary and is wondering if this project will prepare them for a future PhD in the field. They also touch on the importance of understanding raw data in order to have a full understanding of the experimental results.
  • #1
muppet
608
1
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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  • #2
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.
 
  • #3
The degree of raw data analysis was the point I was looking to address, thanks.
 

1. What is the purpose of collecting experimental data in a theoretical PhD?

The purpose of collecting experimental data in a theoretical PhD is to validate and support the theoretical concepts and hypotheses proposed by the researcher. This data serves as evidence for the accuracy and validity of the theoretical framework being studied.

2. How do you ensure the accuracy and reliability of experimental data in a theoretical PhD?

To ensure the accuracy and reliability of experimental data, scientists follow strict protocols and procedures during data collection. This includes using standardized methods, controlling variables, and replicating experiments to ensure consistent results. Additionally, peer review and statistical analysis are used to confirm the validity of the data.

3. What types of experimental data are commonly used in theoretical PhD research?

The types of experimental data commonly used in theoretical PhD research vary depending on the field of study. Some examples include qualitative data such as observations and interviews, quantitative data such as surveys and measurements, and experimental data from controlled experiments.

4. How can experimental data be used to support or challenge existing theories?

Experimental data can be used to support existing theories by providing evidence that aligns with the predictions and explanations of the theory. On the other hand, experimental data that contradicts the theory can challenge its validity and may lead to the development of new or modified theories.

5. How do you analyze and interpret experimental data in a theoretical PhD?

Experimental data is typically analyzed using statistical methods to identify patterns and relationships between variables. The interpretation of the data involves comparing the results to the theoretical framework being studied and discussing the implications of the findings. The data is also often presented visually through graphs and charts to aid in understanding and communication of the results.

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