A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC

Details A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC

2011-10-25

arxiv.org/abs/1110.5632v2

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

13 pages, 17 figures. accepted for publication in ApJ

Scientific paper

We present 663 QSO candidates in the Large Magellanic Cloud (LMC) selected using multiple diagnostics. We started with a set of 2,566 QSO candidates from our previous work selected using time variability of the MACHO LMC lightcurves. We then obtained additional information for the candidates by crossmatching them with the Spitzer SAGE, the MACHO UBVI, the 2MASS, the Chandra and the XMM catalogs. Using this information, we specified six diagnostic features based on mid-IR colors, photometric redshifts using SED template fitting, and X-ray luminosities in order to further discriminate high confidence QSO candidates in the absence of spectra information. We then trained a one-class SVM (Support Vector Machine) model using the diagnostics features of the confirmed 58 MACHO QSOs. We applied the trained model to the original candidates and finally selected 663 high confidence QSO candidates. Furthermore, we crossmatched these 663 QSO candidates with the newly confirmed 144 QSOs and 275 non-QSOs in the LMC fields. On the basis of the counterpart analysis, we found that the false positive rate is less than 1%.

Affiliated with

Also associated with

No associations

Rating

A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-96119