Physics research that involves lots of statistical analysis?

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In the discussion, the focus is on the integration of statistical analysis in physics research, particularly using tools like R or SAS. Key areas of interest include theory, computational, experimental groups, and observational astronomy. The concept of "inverse problems" is highlighted as a significant area where statistical analysis is crucial, involving the interpretation of large datasets to derive theoretical insights. Participants emphasize the importance of exploring various fields to find work that aligns with personal interests, suggesting that students should seek opportunities that allow them to apply their preferred analytical tools to relevant problems in their chosen area of physics.
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I'm currently in a physics grad program and am interested in doing research where statistical analysis is involved by using R or SAS. What fields of physics research relies on this the most? Should I look into theory, computational, or experimental groups? Or perhaps observational astronomy?
 
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Look for "inverse problems" - this is where you start out with a lot of data and you try to find out what theory gives rise to the data. That is heavy in statistical analysis.

Any the areas you have listed may have the kind of work you want since inverse problems appear everywhere.
You will have to ask at your grad school. Students normally get further by looking for work in a field that interests them, then apply their favorite tools to a problem in that field.
 
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