How common is automation in Astronomy?

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SUMMARY

Automation is increasingly prevalent in Astronomy, particularly in data analysis tasks. Undergraduate researchers are leveraging tools like CIAO and HEASOFT to perform luminosity calculations, with scripts reducing processing time from 7-13 hours to just 40 minutes. Notably, Prof. Brian Schmidt developed code to automate the identification of Type Ia supernovae. The trend towards automation mirrors practices in IT, emphasizing efficiency and focus on complex tasks.

PREREQUISITES
  • Familiarity with CIAO and HEASOFT for astronomical data analysis
  • Basic understanding of scripting in programming languages
  • Knowledge of Unix shell/command line operations
  • Experience with version control systems like Git
NEXT STEPS
  • Explore advanced scripting techniques for data analysis automation
  • Learn R programming for reproducible analyses in research
  • Investigate GitHub for software storage and sharing best practices
  • Research additional automation tools and frameworks used in Astronomy
USEFUL FOR

Astronomy researchers, data analysts, and anyone interested in automating data analysis processes in scientific research.

Phys12
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I am currently an undergraduate researching Supernovae. We are doing some luminosity calculations using CIAO and HEASOFT which take anywhere between 7 to 13 hours for each remnant. To make the process quicker, I wrote a script that reduces that time to about 40 minutes for each remnant. One of my current professor's students (who graduated last year) wrote a script to divide a remnant into small boxes and do some measurements with it. Prof. Brian Schmidt wrote the code which automated the process of finding Type Ia supernovae.

Is this a common trend? Are there any other examples that you can give me? I assume that it would be since a lot of Astronomy is data analysis which happens using computers.
 
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I would think that whatever could be automated will get automated so you can focus on other things, similar to the world of IT. You try to make things as automated and autonomous as possible where possible.
 
Phys12 said:
Is this a common trend? Are there any other examples that you can give me? I assume that it would be since a lot of Astronomy is data analysis which happens using computers.

I assume it's a very common trend anywhere you have data analysis that can benefit from automation. Heck, I just received an e-mail from my engineering college about a weekend course they're offering on automation in data analysis and other areas in research:
Learn the foundational skills necessary to be productive in a small research teams, including:

• Automate repetitive tasks in the Unix shell/command line.
• Program in R to make analyses reproducible.
• Track and manage your work with git.
• Store and share your software with GitHub.

Workshop participation is free.
 

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