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Data Analysis Astronomy Lab

a
Course
Postgraduate
Semester
Sem. I
Subject Code
ESA631

Syllabus

Tutorials on Fitting techniques (linear and non-linear, fits to data with experimental errors, evaluating goodness of fit, etc) and error analysis , Handling of data and getting familiar with data analysis packages like IRAF, AIPS and CASA. Th is includes an introduction, beginners tutorials and exercises in these softwares as well as and X-ray data analysis

Text Books

Same as Reference

References

1. Numerical Recipes in C, The Art of Scientific Computing, W.H. Press et al.
2. Numerical Methods in astrophysics: An Introduction, Bodenheimer et al., Taylor & Francis, 2007
3. Astrophysics with a PC: An Introduction to Computational Astrophysics, P. Hellings, Willmann-Bell, 1994
4. Data Reduction and Error Analysis for Physical Sciences, P. R. Bevington & K.K. Robinson, McGraw-Hill, 2003