Related references
Note: Only part of the references are listed.
Article
Astronomy & Astrophysics
P. Gandhi et al.
Summary: Astrometric noise combined with X-ray selection is used to identify accreting binaries in large surveys. By cross-matching the Gaia EDR3 catalogue with the Chandra Source Catalogue, a sample of approximately 6500 X-ray sources with significant astrometric noise is obtained. The X-ray detection efficiency for objects with significant noise is about 4.5 times higher than for objects with low noise. These objects, with significant noise, show distinct characteristics in color-magnitude space and include a higher fraction of known binaries, variables, and young stellar objects.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Review
Astronomy & Astrophysics
Laurence Sabin et al.
Summary: There is a large discrepancy between the predicted and observed count of planetary nebulae, which introduces bias in understanding the PNe population. The INT Photometric H alpha Survey has made efforts to find the missing PNe and has also rediscovered overlooked PNe.
FRONTIERS IN ASTRONOMY AND SPACE SCIENCES
(2022)
Article
Astronomy & Astrophysics
Kenneth Carrell et al.
Summary: This study used data from various surveys and combined them into a value-added catalog to identify potentially variable sources. By integrating large datasets and conducting focused observations, the researchers discovered four eclipsing binary systems. This highlights the significance of both large catalogs and targeted observations in scientific research.
ASTRONOMICAL JOURNAL
(2022)
Article
Astronomy & Astrophysics
L. Lindegren et al.
Summary: Gaia EDR3 provides full astrometric data for 1.468 billion sources, including 585 million with five-parameter solutions and 882 million with six parameters, as well as mean positions at J2016.0 for an additional 344 million sources. Five-parameter solutions are generally more accurate and available for 93% of sources brighter than the 17th magnitude, with median uncertainties of 0.02-0.03 mas for parallax and proper motion at G = 9-14, and around 0.5 mas at G = 20. Extensive characterization of the solutions' statistical properties is provided, including the estimated angular power spectrum of parallax bias from quasars.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
L. Lindegren et al.
Summary: The study found that the parallax bias in Gaia EDR3 data is dependent on factors such as magnitude, color, and ecliptic latitude of the source in a non-trivial way. While a definitive method for correcting the parallax is not yet possible, tentative expressions have been provided for researchers to use at their discretion.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
C. Fabricius et al.
Summary: The third Gaia data release, consisting of Gaia EDR3 and Gaia DR3, provides precise astrometric and photometric properties for nearly two billion sources, along with radial velocities from Gaia DR2. The validation processes ensure completeness, accuracy, and precision of the data, offering recommendations for dealing with various issues related to the catalog data.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
A. G. A. Brown et al.
Summary: Gaia EDR3 is the early installment of the third data release from the Gaia project, providing astrometry and photometry for 1.8 billion sources brighter than magnitude 21, along with radial velocities from Gaia DR2. The data processing precision and homogeneity have significantly improved compared to the previous version, with additional information on celestial bodies and an updated celestial reference frame.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
R. L. Smart et al.
Summary: This article presents a clean and well-characterized catalogue of objects within 100 pc of the Sun from the Gaia Early Data Release 3. The catalogue is characterized through comparisons to the full data release, external catalogues, and simulations. Various scientific analyses are conducted to demonstrate the potential of this sample and best practices for its use, providing the community with valuable information for understanding fundamental parameters and descriptive functions in astronomy.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
R. Greimel et al.
Summary: The INT Galactic Plane Survey (IGAPS) merges optical photometric surveys IPHAS and UVEX based on data from the Isaac Newton Telescope (INT) obtained between 2003 and 2018, capturing the entire northern Galactic plane. The incorporation of narrow-band H alpha imaging is a unique feature, with emphasis on the nature and application of the data. The IGAPS database provides images for all five survey filters with detailed noise and sensitivity characteristics outlined, alongside applications to planetary nebulae and Herbig-Haro objects.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Astronomy & Astrophysics
M. Fratta et al.
Summary: A catalogue of point-like H alpha-excess sources in the Northern Galactic Plane is presented, created using a new technique that leverages information from Gaia. Objects are partitioned based on Gaia colour-absolute magnitude space and Galactic coordinates space, with two significance parameters assigned to each target. By analysing their intensity in the H alpha narrow band, 28496 objects are identified as H alpha-excess candidates with a significance higher than 3.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Astronomy & Astrophysics
M. Monguio et al.
ASTRONOMY & ASTROPHYSICS
(2020)
Article
Astronomy & Astrophysics
M. Vioque et al.
ASTRONOMY & ASTROPHYSICS
(2020)
Article
Astronomy & Astrophysics
M. Riello et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
F. Arenou et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
X. Luri et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
A. G. A. Brown et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
L. Lindegren et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
M. Riello et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
F. Arenou et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
X. Luri et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
A. G. A. Brown et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
L. Lindegren et al.
ASTRONOMY & ASTROPHYSICS
(2018)
Article
Astronomy & Astrophysics
S. Scaringi et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2018)
Article
Astronomy & Astrophysics
T. Prusti et al.
ASTRONOMY & ASTROPHYSICS
(2016)
Article
Astronomy & Astrophysics
T. Prusti et al.
ASTRONOMY & ASTROPHYSICS
(2016)
Article
Astronomy & Astrophysics
J. E. Drew et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2014)
Proceedings Paper
Engineering, Aerospace
Gavin Dalton et al.
GROUND-BASED AND AIRBORNE INSTRUMENTATION FOR ASTRONOMY IV
(2012)
Article
Astronomy & Astrophysics
Paul J. Groot et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2009)
Article
Astronomy & Astrophysics
P. W. Lucas et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2008)
Article
Astronomy & Astrophysics
E. A. Gonzalez-Solares et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2008)
Article
Astronomy & Astrophysics
N. C. Hambly et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2008)
Article
Astronomy & Astrophysics
A. Lawrence et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2007)
Article
Astronomy & Astrophysics
M. Casali et al.
ASTRONOMY & ASTROPHYSICS
(2007)
Article
Astronomy & Astrophysics
JE Drew et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2005)
Article
Computer Science, Artificial Intelligence
L Breiman
