IGAPS: the merged IPHAS and UVEX optical surveys of the northern Galactic plane

Monguió, M.; Greimel, R.; Drew, J. E.; Barentsen, Geert; Groot, P.; Irwin, M. J.; Casares, J.; Gänsicke, B. T.; Carter, Philip J.; Corral-Santana, J. M.; Gentile-Fusillo, N.; Greiss, S.; Haaften, L. M. van; Hollands, Mark; Jones, David; Kupfer, Thomas; Manser, Christopher J.; Murphy, D. N. A.; McLeod, Anna F.; Oosting, T.; Parker, Quentin A.; Pyrzas, S.; Rodríguez‐Gil, P.; Roestel, Jan van; Scaringi, Simone; Schellart, P.; Toloza, Odette; Văduvescu, O.; Spaandonk, L. van; Verbeek, K.; Wright, N. J.; Eislöffel, J.; Fabregat, J.; Harris, A.; Morris, Rhys; Phillipps, S.; Raddi, R.; Sabin, L.; Unruh, Y. C.; Vink, J. S.; Wesson, R.; Cardwell, Andrew; Burgos, A. de; Cochrane, R. K.; Doostmohammadi, S.; Močnik, Teo; Stoev, H.; Suárez-Andrés, L.; Tudor, Vlad; Wilson, T. G.; Zegmott, Tarik

doi:10.1051/0004-6361/201937333

Cited by 39 publications

(48 citation statements)

References 42 publications

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“…These entries can assume a value of 0 (if the significance is lower than 3), 1 (if the significance is greater than or equal to 3, but smaller than 5), or 2 (if the significance is equal to or greater than 5). A very similar classification of the signifi-cance levels was previously adopted by Witham et al (2008) and by Monguió et al (2020).…”

Section: Resultsmentioning

confidence: 97%

“…The identification of emission-line objects performed by Monguió et al (2020) followed a selection strategy that is similar to the one implemented for Witham et al (2008). The main differences between these two works are related to the data calibration and to the morphology classes being tested (Monguió et al 2020 only excluded "morphology class 0" sources, i.e. the "noise-like sources", from being tested for H excess; see also Farnhill et al 2016).…”

Section: Comparison With Igapsmentioning

confidence: 99%

“…the "noise-like sources", from being tested for H excess; see also Farnhill et al 2016). Of the 53,234,833 objects in the IGAPS catalogue that were tested for H excess, Monguió et al (2020) produced a list of 20,860 excess-line candidates (0.04% of the tested targets). These outliers were selected with a significance higher than 3; a sub-sample of these excess candidates is composed by 8,292 objects (0.02% of the tested sample) with significance higher than 5.…”

Section: Comparison With Igapsmentioning

confidence: 99%

“…More recently, Monguió et al (2020) developed the IGAPS (INT Galactic Plane Survey) catalogue, that includes ∼ 295 millions objects. Of these, 53,234,833 (18%) unblended sources with < 19.5 mag were tested for H -excess.…”

Section: Introductionmentioning

confidence: 99%

“…Without any knowledge of the distances, and using only IPHAS measurements, degeneracies may exist in associating a particular object to a specific stellar population. Because of this, the emission line candidate lists of Witham et al (2008) and Monguió et al (2020) are necessarily conservative and in-complete. In our work, H line excess candidates are identified from IPHAS survey by using two independent and complementary methods: a) selecting H -excess sources relative to nearby sources in the calibrated Gaia colour-absolute magnitude diagram (CAMD), and b) selecting H -excess sources relative to groups of objects that occupy nearby positions in the sky.…”

Section: Introductionmentioning

confidence: 99%

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Population-based identification of H α-excess sources in the Gaia DR2 and IPHAS catalogues

Fratta

Scaringi

Drew

et al. 2021

Monthly Notices of the Royal Astronomical Society

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We present a catalogue of point-like Hα-excess sources in the Northern Galactic Plane. Our catalogue is created using a new technique that leverages astrometric and photomeric information from Gaia to select Hα-bright outliers in the INT Photometric Hα Survey of the Northern Galactic Plane (IPHAS), across the colour-absolute magnitude diagram. To mitigate the selection biases due to stellar population mixing and to extinction, the investigated objects are first partitioned with respect to their positions in the Gaia colour-absolute magnitude space, and in the Galactic coordinates space, respectively. The selection is then performed on both partition types independently. Two significance parameters are assigned to each target, one for each partition type. These represent a quantitative degree of confidence that the given source is a reliable Hα-excess candidate, with reference to the other objects in the corresponding partition. Our catalogue provides two flags for each source, both indicating the significance level of the Hα-excess. By analysing their intensity in the Hα narrow band, 28,496 objects out of 7,474,835 are identified as Hα-excess candidates with a significance higher than 3. The completeness fraction of the Hα outliers selection is between $3{{\ \rm per\ cent}}$ and $5{{\ \rm per\ cent}}$. The suggested 5σ conservative cut yields a purity fraction of $81.9{{\ \rm per\ cent}}$.

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Section: Resultsmentioning

confidence: 97%

Section: Comparison With Igapsmentioning

confidence: 99%

Section: Comparison With Igapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Population-based identification of H α-excess sources in the Gaia DR2 and IPHAS catalogues

Fratta

Scaringi

Drew

et al. 2021

Monthly Notices of the Royal Astronomical Society

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High-resolution Hα imaging of the northern Galactic plane and the IGAPS image database

Greimel

Drew

Monguió

et al. 2021

A&A

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The INT Galactic Plane Survey (IGAPS) is the merger of the optical photometric surveys IPHAS and UVEX based on data from the Isaac Newton Telescope (INT) obtained between 2003 and 2018. It captures the entire northern Galactic plane within the Galactic coordinate range |b| < 5 • and 30 • < < 215 • . From the beginning, the incorporation of narrow-band Hα imaging has been a unique and distinctive feature of this effort. Alongside a focused discussion of the nature and application of the Hα data, we present the IGAPS world-accessible database of images for all five survey filters, i, r, g, U RGO , and narrow-band Hα, observed on a pixel scale of 0.33 arcsec and at an effective (median) angular resolution of 1.1-1.3 arcsec. The background, noise, and sensitivity characteristics of the narrow-band Hα filter images are outlined. Typical noise levels in this band correspond to a surface brightness at full ∼1 arcsec resolution of around 2 × 10 −16 erg cm −2 s −1 arcsec −2 . Illustrative applications of the Hα data to planetary nebulae and Herbig-Haro objects are outlined and, as part of a discussion of the mosaicking technique, we present a very large background-subtracted narrowband mosaic of the supernova remnant Simeis 147. Finally, we lay out a method that exploits the database via an automated selection of bright ionised diffuse interstellar emission targets for the coming generation of wide-field massive-multiplex spectrographs. Two examples of the diffuse Hα map output from this selection process are presented and compared with previously published data.

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GaiaData Release 3

Montegriffo¹,

Bellazzini²,

Angeli³

2023

A&A

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Gaia Data Release 3 provides novel flux-calibrated low-resolution spectrophotometry for 220 million sources in the wavelength range 330 nm ≤ λ ≤ 1050 nm (XP spectra). Synthetic photometry directly tied to a flux in physical units can be obtained from these spectra for any passband fully enclosed in this wavelength range. We describe how synthetic photometry can be obtained from XP spectra, illustrating the performance that can be achieved under a range of different conditions -for example passband width and wavelength range-as well as the limits and the problems affecting it. Existing top-quality photometry can be reproduced within a few per cent over a wide range of magnitudes and colour, for wide and medium bands, and with up to millimag accuracy when synthetic photometry is standardised with respect to these external sources. Some examples of potential scientific application are presented, including the detection of multiple populations in globular clusters, the estimation of metallicity extended to the very metal-poor regime, and the classification of white dwarfs. A catalogue providing standardised photometry for 2.2 × 10 8 sources in several wide bands of widely used photometric systems is provided (Gaia Synthetic Photometry Catalogue; GSPC) as well as a catalogue of 10 5 white dwarfs with DA/non-DA classification obtained with a Random Forest algorithm (Gaia Synthetic Photometry Catalogue for White Dwarfs; GSPC-WD).

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IGAPS: the merged IPHAS and UVEX optical surveys of the northern Galactic plane

Cited by 39 publications

References 42 publications

Population-based identification of H α-excess sources in the Gaia DR2 and IPHAS catalogues

Population-based identification of H α-excess sources in the Gaia DR2 and IPHAS catalogues

High-resolution Hα imaging of the northern Galactic plane and the IGAPS image database

GaiaData Release 3

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