Discussion Overview
The discussion revolves around finding reliable quantitative data of the spectra of different stars for analysis. Participants seek resources and tools for accessing and processing this data, sharing their experiences and recommendations.
Discussion Character
- Exploratory
- Technical explanation
- Homework-related
Main Points Raised
- One participant requests reliable data sources for star spectra, emphasizing the need for quantitative data to analyze independently.
- Another participant suggests using Google to find spectra data, implying that there are many resources available.
- Some participants report difficulties in accessing usable data, mentioning issues with synthesized data and file formats that are hard to open.
- The Sloan Digital Sky Survey (SDSS) is recommended as a source for archived spectroscopic data, with detailed instructions on how to access and use the site.
- Participants discuss the need for specific software to open FITS files, with suggestions for free options provided.
- One participant shares an interactive viewer from SDSS that helps locate objects with spectra, along with a tool for converting object names to coordinates.
- A participant highlights a specific quasar as an example of interesting data, discussing its redshift and the implications for observing light from billions of years ago.
- Another participant seeks advice on converting binary data from FITS files, expressing frustration with the process.
- Python and the pyfits module are recommended as tools for interrogating and plotting FITS files, with example code provided for those interested in learning.
Areas of Agreement / Disagreement
Participants generally agree on the usefulness of the SDSS as a resource for star spectra data, but there are varying experiences regarding the accessibility and usability of the data. Some participants express frustration with technical issues, while others provide solutions and suggestions.
Contextual Notes
Some participants mention difficulties with specific file formats and the need for software to process data, indicating limitations in their current approaches. There are also references to varying levels of familiarity with programming tools, which may affect the ability to analyze the data effectively.
Who May Find This Useful
This discussion may be useful for individuals interested in astrophysics, data analysis, and programming, particularly those looking to work with astronomical spectra data and seeking resources for independent research.