Mission Overview
Plane Quasar Survey (PQS)
Primary Investigator: Jessica Werk
HLSP Authors: Jessica Werk, Kirill Tchernyshyov, Hannah V. Bish, Yong Zheng, Mary Putman, David Schiminovich, Joshua E. G. Peek
Released: 2024-06-10
Updated: 2024-06-10
Primary Reference(s): Werk et al. 2024
DOI: 10.17909/86my-mr86
Overview
The Plane Quasar Survey (PQS) is a sample of 305 QSO candidates having |b| < 30 degrees, the majority with GALEX magnitudes NUV < 18.75. To generate this sample, the team applies a UV-IR color selection criteria to photometric data from the Ultraviolet GAlactic Plane Survey (UVGAPS) as part of GALEX-CAUSE, the Million Quasars Catalog, Gaia DR2, and Pan-STARRS DR1. 165 of these 305 candidate UV-bright AGN (54%) have published spectroscopic redshifts from 45 different surveys, confirming them as AGN. The team further obtained low-dispersion, optical, longslit spectra with the APO 3.5-m, MDM 2.4-m, and MDM 1.3-m telescopes for 84 of the candidates, and confirm 86% (N = 72) as AGN, generally with z < 0.6. These sources fill a gap in the Galactic latitude coverage of the available samples of known UV-bright QSO background probes. Along with a description of the confirmed QSO properties, the team provides the fully-reduced, flux and wavelength-calibrated spectra of 84 low-latitude QSOs through the Mikulski Archive for Space Telescopes. Future HST/COS spectroscopy of these low-Galactic-latitude QSOs has the potential to transform our view of the Milky Way and Local Group circumgalactic medium.
Data Products
The full PQS collection consists of 1 summary catalog and 82 spectra files.
Data file types:
_1dspec.fits | The 1D reduced, wavelength and flux-calibrated spectra are provided for each PQS target we observed with the APO 3.5-m, the MDM 2.4-m, or the MDM 1.3-m. All wavelengths are corrected to a vacuum, heliocentric rest frame. |
_catalog.fits | The summary catalog containing metadata for each source |
Spectrum Files
Each spectrum file is provided with the following file naming convention:
hlsp_pqs_<telescope>_<instrument>_<target_name>_<filter>_v1_1dspec.fits
where:
- <telescope> is the telescope used for observations (APO or MDM)
- <instrument> is the corresponding instrument used (DIS or OSMOS)
- <target_name> is the identifier for each target
- <filter> is the name of the filter used in observations.
Summary Catalog
The summary catalog named hlsp_pqs_multi_multi_alltargets_spectral_v1_catalog.fits contains the full PQS catalog, with the following columns. These fields are described in full text of the PQS First Data Release Paper.
RAJ2000
: Right ascension coordinate in J2000DECJ2000
: Declination coordinate in J2000GLON
: Galactic LongitudeGLAT
: Galactic LatitudeNUVMAG
: GALEX NUV magnitudeNICKNAME
: Alternate target nameW1MAG
: WISE W1 magnitudeW2MAG
: WISE W2 magnitudeSPECTYPE
: Spectrally determined source type: star, AGN, etc.TELESCOPE
: Telescope used for observationZNARROW
: Redshift estimated by narrow emission linesSAMPLE
: Identifier for the photometric selection techniqueSPECFILE
: File name of spectrumHLSPTARG
: Target nameZARCHIVAL
: Redshift from previous literatureREFZARCHIVAL
: References for ZARCHIVALSIMBADNAME
: Alternate target name from SIMBAD
Data Access
The summary catalog and spectral files can be downloaded directly from the table below. The spectra bundle contains 82 files which are 50-100 KB each.
Description | Files | Size |
---|---|---|
Summary Catalog | 76 KB | |
Spectra Bundle | 3.0 MB |
MAST Portal and Astroquery
The PQS data products are also available in the MAST Portal (web-based, cross-mission search interface) and Astroquery (Python package to search for and download files from Python scripts you write). In the MAST Portal, set the Provenance Name filter to "PQS" in an Advanced Search to find these data. In Astroquery, the following example code demonstrates how to search for and download these products:
from astroquery.mast import Observations
# Search for all PQS products
all_obs = Observations.query_criteria(provenance_name="pqs")
data_products = Observations.get_product_list(all_obs)
# Download data
Observations.download_products(data_products)
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A web-based interface for cross-mission searches of data at MAST or the Virtual Observatory
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Search for and retrieve PQS data products programmatically.