Research Methods: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
|||
| Line 32: | Line 32: | ||
*[http://www.stsci.edu/institute/software_hardware/pyfits Pyfits] | *[http://www.stsci.edu/institute/software_hardware/pyfits Pyfits] | ||
*[http://scikits.appspot.com/scikits Scikits - Scipy toolkits] | *[http://scikits.appspot.com/scikits Scikits - Scipy toolkits] | ||
*[http://www.enthought.com/products/edudownload.php Enthought academic Python] | |||
== Web Application Programming == | == Web Application Programming == | ||
Revision as of 19:39, 28 February 2013
This course is a topical survey of research methodologies that in the Spring 2013 term are drawn primarily from astronomy and astrophysics, but are broadly applicable for graduate students who are engaged in doctoral level research in the physical sciences and engineering. With the objective of providing useful tools and a perspective on how advanced scientific research is conducted, we will cover three topics:
- Syllabus
- On-line resources, databases, and use of LaTeX for scientific writing (Williger)
- Programming with Python for data analysis, modeling, and instrument control (Kielkopf)
- Upload Python homework
- Elements of optical spectroscopy and statistics (Lauroesch)
This is a required course for students in the doctoral program in Physics & Astronomy.
On-Line Resources
- Writing with LaTeX
- NASA Astrophysics Data System Abstract Service (ADS)
- New astrophysics papers on arxiv.org's astro-ph
- SIMBAD astronmical database
- Coordinated universal time (UTC)
- Space Telescope Science Institute
- Mikluski Archive for Space Telescopes (MAST)
- Sloan Digital Sky Survey
Python External Sites
- Python official website
- Python tutorial
- Python language reference
- Numpy
- Scipy
- Matplotlib
- Pyfits
- Scikits - Scipy toolkits
- Enthought academic Python