On the Selection of High-z Quasars Using LOFAR Observations

We present a method to identify candidate quasars which combines optical/infrared color selection with radio detections from the Low Frequency ARray (LOFAR) at 150 MHz. We apply this method in a region of 9 square degrees located in the Boötes field, with a wealth of multi-wavelength data. Our LOFAR...

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Main Authors: Edwin Retana-Montenegro, Huub Röttgering
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fspas.2018.00005/full
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author Edwin Retana-Montenegro
Huub Röttgering
author_facet Edwin Retana-Montenegro
Huub Röttgering
author_sort Edwin Retana-Montenegro
collection DOAJ
description We present a method to identify candidate quasars which combines optical/infrared color selection with radio detections from the Low Frequency ARray (LOFAR) at 150 MHz. We apply this method in a region of 9 square degrees located in the Boötes field, with a wealth of multi-wavelength data. Our LOFAR imaging in the central region reaches a rms noise of ~50 μJy with a resolution of 5″. This is so deep that we also routinely detect, “radio-quiet” quasars. We use quasar spectroscopy from the literature to calculate the completeness and efficiency of our selection method. We conduct our analysis in two redshift intervals, 1 < z < 2 and 2 < z < 3. For objects at 1.0 < z < 2.0, we identify 51% of the spectroscopic quasars, and 80% of our candidates are in the spectroscopic sample; while for objects at 2.0 < z < 3.0 these numbers are 62 and 30%, respectively. We investigate the effect of the radio spectral index distribution on our selection of candidate quasars. For this purpose, we calculate the spectral index between 1,400 and 150 MHz, by combining our LOFAR-Boötes data with 1.4 GHz imaging of the Boötes field obtained with the Westerbork Synthesis Radio Telescope (WSRT), which has a rms noise of σ~28 μJy with a resolution of 13″ × 27″. We find that 27% of the candidate quasars are detected at 1,400 MHz, and that these detected objects have a spectral index distribution with a median value of α = −0.73 ± 0.07. Using a flux density threshold of S150MHz = 1.50 mJy, so that all the α > −1.0 sources can be detected in the WSRT-Boötes map, we find that the spectral index distribution of the 21 quasars in the resulting sample is steeper than the general LOFAR-WSRT spectral index distribution with a median of α = −0.80 ± 0.06. As the upcoming LOFAR wide area surveys are much deeper than the traditional 1.4 GHz surveys like NVSS and FIRST, this indicates that LOFAR in combination with optical and infrared will be an excellent fishing ground to obtain large samples of quasars.
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spelling doaj.art-d8f14c2096db43649eff4ccde42e6a362022-12-22T02:51:56ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2018-03-01510.3389/fspas.2018.00005299701On the Selection of High-z Quasars Using LOFAR ObservationsEdwin Retana-MontenegroHuub RöttgeringWe present a method to identify candidate quasars which combines optical/infrared color selection with radio detections from the Low Frequency ARray (LOFAR) at 150 MHz. We apply this method in a region of 9 square degrees located in the Boötes field, with a wealth of multi-wavelength data. Our LOFAR imaging in the central region reaches a rms noise of ~50 μJy with a resolution of 5″. This is so deep that we also routinely detect, “radio-quiet” quasars. We use quasar spectroscopy from the literature to calculate the completeness and efficiency of our selection method. We conduct our analysis in two redshift intervals, 1 < z < 2 and 2 < z < 3. For objects at 1.0 < z < 2.0, we identify 51% of the spectroscopic quasars, and 80% of our candidates are in the spectroscopic sample; while for objects at 2.0 < z < 3.0 these numbers are 62 and 30%, respectively. We investigate the effect of the radio spectral index distribution on our selection of candidate quasars. For this purpose, we calculate the spectral index between 1,400 and 150 MHz, by combining our LOFAR-Boötes data with 1.4 GHz imaging of the Boötes field obtained with the Westerbork Synthesis Radio Telescope (WSRT), which has a rms noise of σ~28 μJy with a resolution of 13″ × 27″. We find that 27% of the candidate quasars are detected at 1,400 MHz, and that these detected objects have a spectral index distribution with a median value of α = −0.73 ± 0.07. Using a flux density threshold of S150MHz = 1.50 mJy, so that all the α > −1.0 sources can be detected in the WSRT-Boötes map, we find that the spectral index distribution of the 21 quasars in the resulting sample is steeper than the general LOFAR-WSRT spectral index distribution with a median of α = −0.80 ± 0.06. As the upcoming LOFAR wide area surveys are much deeper than the traditional 1.4 GHz surveys like NVSS and FIRST, this indicates that LOFAR in combination with optical and infrared will be an excellent fishing ground to obtain large samples of quasars.http://journal.frontiersin.org/article/10.3389/fspas.2018.00005/fullquasarsactive galactic nucleisurveysradioextragalactic astronomyphotometry
spellingShingle Edwin Retana-Montenegro
Huub Röttgering
On the Selection of High-z Quasars Using LOFAR Observations
Frontiers in Astronomy and Space Sciences
quasars
active galactic nuclei
surveys
radio
extragalactic astronomy
photometry
title On the Selection of High-z Quasars Using LOFAR Observations
title_full On the Selection of High-z Quasars Using LOFAR Observations
title_fullStr On the Selection of High-z Quasars Using LOFAR Observations
title_full_unstemmed On the Selection of High-z Quasars Using LOFAR Observations
title_short On the Selection of High-z Quasars Using LOFAR Observations
title_sort on the selection of high z quasars using lofar observations
topic quasars
active galactic nuclei
surveys
radio
extragalactic astronomy
photometry
url http://journal.frontiersin.org/article/10.3389/fspas.2018.00005/full
work_keys_str_mv AT edwinretanamontenegro ontheselectionofhighzquasarsusinglofarobservations
AT huubrottgering ontheselectionofhighzquasarsusinglofarobservations