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Objectives & Methodology:
We aim to identify formerly unknown quasars from select databases, using
previously known techniques that have been slightly modified. Similar work has been done using color-color diagrams. A color-color diagram is an x-y plot of one
color versus another of a set of sky objects. These diagrams are useful
because they separate out these sky objects based on the different
characteristics they possess, thus they enable us to sift out the quasars from the stars. Below is an example of a color-color
diagram, with known and speculated quasars:
Previous work done in the optical range suffered from low optical efficiency of
objects with redshifts 2-3. Such surveys are more efficient when done in the
infrared.
After selecting quasar candidates, we must then verify if they are indeed
quasars using spectroscopic analysis. We then discard any objects which are not
quasars.
Introduction:Quasi-stellar objects also known as
quasars are extremely distant and bright active nuclei of young galaxies. They are
powered by accretion of matter into massive black holes. Quasars were first
discovered in the middle of the last century and provide interesting insights into the nature of the cosmos and the
history of our universe.
Background:
What are the bases for classification of objects in the sky?
Morphology: This refers to the shape, size, and general physical
characteristics of cosmological objects.
Magnitude: Magnitude is a measure of the amount of flux in a particular wavelength range which is received
from the object.
Color: Color refers to the ratio of the magnitudes of flux received from one
bandwidth to another.
Spectroscopy: Spectroscopy in astronomy involves looking at the light emitted from an object and separating
this light into its constituents in the electromagnetic spectrum. Studying spectra of objects is often the most
decisive way to classify an object. An object’s spectra can provide
information about its constituents (gases it contains), its temperature, its
speed of recession (red shift), and it can even give insights into the
material contained in the spaces between the object and us.
Acknowledgements:
I would like to thank my mentor, Dr. Julia Kennefick, for her patience in helping me understand the project
material; my project partner, Ashley Stewart, whose reassuring words kept me sane when huge
piles of data nearly drove me to the edge, and lastly; 2-MASS & SDSS, for providing the data used in this
work.
Future Work:
We have been granted some observatory time in the fall at the Kitt peak observatory at Tucson, Arizona. At the observatory, we
will take the spectra of each of our candidates, and from the spectra
we will determine if they are indeed quasars, stars, or some
other object. Below are samples of the spectra of typical quasars and
stars, which show some of the distinct features of each of these
objects’ spectra, and their differences:
Improving Quasar Selection Methods. By: Kenechukwu C. Obi, Grinnell College, Iowa Mentor: Dr. Julia Kennefick.
University of Arkansas, Fayetteville
Star Spectrum
Quasar Spectrum