Nov 1st, 2008| 12:41 pm | Posted by vlk
RMF. It is a wørd to strike terror even into the hearts of the intrepid. It refers to the spread in the measured energy of an incoming photon, and even astronomers often stumble over what it is and what it contains. It essentially sets down the measurement error for registering the energy of a photon in the given instrument.
Thankfully, its usage is robustly built into analysis software such as Sherpa or XSPEC and most people don’t have to deal with the nitty gritty on a daily basis. But given the profusion of statistical software being written for astronomers, it is perhaps useful to go over what it means. Continue reading ‘Redistribution’ »
Tags:
EotW,
Equation,
HEASARC,
low-resolution,
OGIP,
redistribution matrix file,
RMF,
spectrum Category:
Astro,
High-Energy,
Jargon,
Spectral,
Uncertainty |
Comment
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
Jul 25th, 2007| 02:28 am | Posted by hlee
Since I began to subscribe arxiv/astro-ph abstracts, from an astrostatistical point of view, one of the most frequent topics has been photometric redshifts. This photometric redshift has been a popular topic as the catalog of remote photometric object observation multiplies its volume and sky survey projects in multiple bands lead to virtual observatories (VO – will discuss in the later posting). Just searching by photometric redshifts in google scholar and arxiv.org provides more than 2000 articles since 2000.
Continue reading ‘Photometric Redshifts’ »
Tags:
cosmology,
distance estimation,
Lutz-Kelker bias,
machine learning,
Malmquist bias,
Photometric Redshift,
spectrum,
survey,
VO Category:
Algorithms,
arXiv,
Data Processing,
Galaxies,
Stat |
Comment