May 5th, 2008| 03:08 am | Posted by hlee
Since I learned Hubble’s tuning fork[] for the first time, I wanted to do classification (semi-supervised learning seems more suitable) galaxies based on their features (colors and spectra), instead of labor intensive human eye classification. Ironically, at that time I didn’t know there is a field of computer science called machine learning nor statistics which do such studies. Upon switching to statistics with a hope of understanding statistical packages implemented in IRAF and IDL, and learning better the contents of Numerical Recipes and Bevington’s book, the ignorance was not the enemy, but the accessibility of data was. Continue reading ‘[ArXiv] 5th week, Apr. 2008’ »
Tags:
ANN,
automation,
Classification,
correlation function,
denoising,
FFT,
gravitational wave,
lensing,
LISA,
machine learning,
missing data,
mock data,
morphology,
PCA,
power spectrum,
robust,
SDSS,
spectrum,
sunspots,
wavelet,
zoo Category:
arXiv,
Galaxies,
Imaging,
MCMC,
Physics,
Spectral |
Comment
Apr 21st, 2008| 11:56 pm | Posted by hlee
Because of the extensive works by Prof. Peebles and many (observational) cosmologists (almost always I find Prof. Peeble’s book in cosmology literature), the 2 (or 3) point correlation function is much more dominant than any other mathematical and statistical methods to understand the structure of the universe. Unusually, this week finds an astro-ph paper written by a statistics professor addressing the K-function to explore the mystery of the universe.
[astro-ph:0804.3044] J.M. Loh
Estimating Third-Order Moments for an Absorber Catalog
Continue reading ‘[ArXiv] Ripley’s K-function’ »