Computer Science – Learning
Scientific paper
Feb 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999noao.prop..197r&link_type=abstract
NOAO Proposal ID #1999A-0197
Computer Science
Learning
Scientific paper
We propose to study spectroscopically the new ROSAT-Green Bank (RGB) sample of BL Lacertae objects. Prior X-ray and radio surveys have discovered only the most extreme BL Lacs (i.e., the most radio or X-ray bright), causing an artificial separation of BL Lacs into two classes, radio loud and X-ray loud BL Lacs (RBLs and XBLs respectively). Not suprisingly then, efforts to understand the relationship between RBLs and XBLs have not been successful. However, the RGB survey has discovered BL Lacs intermediate to XBLs and RBLs (i.e., ``optically- peaked" BL Lacs); and as a whole the RGB is the only sample which spans the entire observed range of broadband spectral energy distributions. However, redshifts are known for only half of the RGB, making the overall intrinsic properties of the sample highly uncertain. We therefore propose to obtain high-SNR spectra of RGB BL Lacs without redshifts to determine redshifts and spectral line properties. The multiwavelength luminosity functions as well as the distribution of redshifts, emission-line luminosities, V/V_max, MgII absorption systems and starlight fractions will be used to determine the relationship between XBLs, RBLs and quasars. This data will also be used in a research-based science education program (RBSE) operated by NOAO, wherein middle- and high-school science students learn astronomy and inquiry-based learning skills via research.
Laurent-Muehleisen Sally
Rector Travis A.
Stocke John
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