Observational Astronomy and data analysis

Data analysis is crucial in getting the best outcome
from an astronomical observation. It is cheaper to
invest in data analysis than in new expensive
telescopes, space missions, and instrumentation.
That, of course is a false dilemma, but it is also
true that often not enough effort is paid to data
analysis compared to other disciplines.
This book tries to fill in this gap with showing a
series of a new data reduction algorithms and
observational techniques in Astronomy. Among them,
image deconvolution in wide-field images, new star
centering algorithms, and new CCD acquisition
techniques such as fast-drift scanning applied
to lunar occultations and speckle interferometry.

Autorentext

Octavi Fors received the Ph.D. in Astronomy from the Universityof Barcelona in 2006 and the M.S. in Remote Sensing from theInstitute for Space Studies of Catalonia in 1999.His research topics are high-resolution Astronomy bymeans of lunar occultations and speckle interferometry,image deconvolution, and image fusion applied toRemote Sensing.

Klappentext

Data analysis is crucial in getting the best outcomefrom an astronomical observation. It is cheaper toinvest in data analysis than in new expensivetelescopes, space missions, and instrumentation.That, of course is a false dilemma, but it is alsotrue that often not enough effort is paid to dataanalysis compared to other disciplines.This book tries to fill in this gap with showing aseries of a new data reduction algorithms andobservational techniques in Astronomy. Among them,image deconvolution in wide-field images, new starcentering algorithms, and new CCD acquisitiontechniques such as fast-drift scanning appliedto lunar occultations and speckle interferometry.