Quasar identification with narrow-band cosmological surveys

Quasar identification with narrow-band cosmological surveys The case of J-PAS Silvia Bonoli and the J-PAS collaboration ESO, 28th June 2016

Hyper Suprime-Cam @ Subaru DESI

Spectrocopic vs. - Provide SED (Precise z and classification) Quasar identification with narrow-band cosmological surveys Photometric - Large Volumes High number density No selection biases Deep Silvia Bonoli

Spectrocopic vs. - Provide SED (Precise z and classification) Photometric - Large Volumes High number density No selection biases Deep Vanden Berk et al. 2001 Richards et al. 2002 Example of BPT diagram from Trouille et al. 2011 Quasar identification with narrow-band cosmological surveys Mid-z (2.5<z<3) problem Silvia Bonoli

Spectrocopic vs. - Provide SED (Precise z and classification) Spectro-Photometric COMBO-17 Photometric - Large Volumes High number density No selection biases Deep

COMBO-17 Wolf et al. 2003 3% precision in photo-z Masters et al. 2012 1.5% precision in photo-z Salvato et al. 2011

Advance Large Homogeneous Area Medium-Band Redshift Astronomical survey ~2.8 deg2 20 medium-band filters + JHK 24.5 mag limit (Moles et al. 2008, Benitez et al. 2009) (Molino et al. 2014)

Advance Large Homogeneous Area Medium-Band Redshift Astronomical survey ~2.8 deg2 20 medium-band filters + JHK 24.5 mag limit (Moles et al. 2008, Benitez et al. 2009) Looking for broad-line AGN with a two-step procedure: 1) Candidates selection Using the photometric-redshift code LePhare (Arnouts et al. 1999, Ilbert et al. 2006) run on the whole catalogue (~440.000 objects), with no previous cuts in morphology, luminosity or colors (Chaves-Montero, SB & Salvato, in prep) 2) Spectro-photometric confirmation Looking for emission lines... Using a newly-developed line-searching code a) Calculates the expected locations of the major QSO broad emission lines, based on the photo-z given by LePhare b) Searches for excess in the photometry in the bands where emission lines are expected

Advance Large Homogeneous Area Medium-Band Redshift Astronomical survey ~2.8 deg2 20 medium-band filters + JHK 24.5 mag limit (Moles et al. 2008, Benitez et al. 2009) (Chaves-Montero, SB & Salvato, in prep)

Advance Large Homogeneous Area Medium-Band Redshift Astronomical survey ~2.8 deg2 20 medium-band filters + JHK 24.5 mag limit (Moles et al. 2008, Benitez et al. 2009) Final sample of 1880 AGN at z>1.5 (Chaves-Montero, SB & Salvato, in prep)

Planned to start at the beginning of 2017, the J-PAS survey will scan ~8500 deg2 of the northern sky with 54 narrow-band filters covering the whole optical range from the dedicated 2.5m telescope in the sierra of Javalambre Quasar identification with narrow-band cosmological surveys Silvia Bonoli

The Javalambre Observatory In the Sierra de Javalambre @1960m now officially a Spanish scientific and technical facility (~20% open-time available to the community) JST (T250) JAST (T80) Quasar identification with narrow-band cosmological surveys Silvia Bonoli

The Javalambre Observatory Comparable (at similar altitudes) to Mauna Kea or La Silla Seeing (median) = 0.71 Quasar identification with narrow-band cosmological surveys Silvia Bonoli

The telescope and JPCam T250 M1 ( ) = 2.55 m FoV ( ) = 3 deg = 476 mm at FP Effective collecting area = 3.89 m2 Etendue = 27.5 m2deg2 1.2 Giga pixels (14 CCD of 9200x9200) 0.22 arcsec/pixel 4.5 deg2

JPCam

The filter system - 54 NB filters (FWHM~145Å; ~10nm) From 3785Å to 9100Å - 1 Blue MB filter (FWHM~260Å; c~3600å) - 1 Red BB filter (FWHM~620Å; c~9500å) - Sloan u, g, r Pseudo-spectrum (R~50) in every pixel of the sky down to MAB ~ 22.5-24 Quasar identification with narrow-band cosmological surveys Silvia Bonoli

The filter trays Tray 2 Tray 1 Tray 4 Quasar identification with narrow-band cosmological surveys Tray 3 Tray BB Silvia Bonoli

Limiting magnitudes 5σ 3arcsec aperture T1 T2 T3 T4 Minimum of 4 (60 sec) exposures in each filter (2+1+1) Survey speed ~ 1200 deg² /yr

A redshift machine... LRG @ z=1-500m galaxies - 90M LRG+ELG (with 0.3% photo-z precision) - Millions on quasars Quasar identification with narrow-band cosmological surveys Silvia Bonoli

QSO @ z=1.0 Quasar identification with narrow-band cosmological surveys Silvia Bonoli

QSO @ z=2.2 Quasar identification with narrow-band cosmological surveys Silvia Bonoli

QSO @ z=3.4 1% photo-z errors Quasar identification with narrow-band cosmological surveys 0.3% photo-z errors Very high completeness and purity Silvia Bonoli

Exploring the potential of J-PAS for selecting TypeII AGN... TypeI @ z~2.1 TypeII @ z~2.2 J-PAS-view of a sample of CIVselected AGN from zcosmos (from Mignoli et al.) Quasar identification with narrow-band cosmological surveys Silvia Bonoli

8500 deg2 of the northern hemisphere 54 NB + 5 MB/BB filters Up to mag ~24 Reaching 0.3% photo-z precision Open time available! Millions of quasars/agn Environment Synergy with surveys in other λ Complete and pure samples for spec follow-ups (e.g, WEAVE) Quasar identification with narrow-band cosmological surveys Silvia Bonoli

Extra Slides Quasar identification with narrow-band cosmological surveys Silvia Bonoli

http://www.j-pas.org/ 8500 deg observed from Spain with 2 telescopes 2 54 NB + 5 MB/BB filters 4.5 deg2 FoV Up to mag ~24 90M ELG and LRG Reaching 0.3% photo-z precision Millions of quasars 200M of galaxies 4000 SNIa 700k of groups and clusters Starts at the end of 2016 http://www.j-plus.es/ 12 NB/MB/BB filters 2 deg2 FoV Up to mag ~23 SEDs of 5M stars Already started! Already replica in the South @Cerro Tololo Survey S-PLUS Possible replica in the South More details in Benitez et al. 2014 - arxiv:1403.5237

The J-PLUS survey Javalambre Photometric Local Universe Survey T80 [OII] ujava gsdss rsdss Hα isdss Mgb Triplet zsdss CaTriplet 12 filters ~ 1 mag deeper then SDSS 3 exposures (12 exposures in g,r) 1 CCD of 9200x9200 pixels 0.55 arcsec/pixel ~2 deg2

T80 + T80Cam Mosaic of Virgo

T80 + T80Cam Mosaic of Virgo www.cefca.es