Lingyu Wang
Kapteyn Astronomical Institute
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Monthly Notices of the Royal Astronomical Society | 2017
Andrej Dvornik; Marcello Cacciato; Konrad Kuijken; Massimo Viola; Henk Hoekstra; Reiko Nakajima; Edo van Uitert; Margot M. Brouwer; Ami Choi; Thomas Erben; Ian Fenech Conti; Daniel J. Farrow; Ricardo Herbonnet; Catherine Heymans; Hendrik Hildebrandt; Andrew M. Hopkins; John McFarland; Peder Norberg; Peter Schneider; Cristóbal Sifón; E Valentijn; Lingyu Wang
We investigate possible signatures of halo assembly bias for spectroscopically selected galaxy groups from the Galaxy And Mass Assembly (GAMA) survey using weak lensing measurements from the spatially overlapping regions of the deeper, high-imaging-quality photometric Kilo-Degree Survey. We use GAMA groups with an apparent richness larger than 4 to identify samples with comparable mean host halo masses but with a different radial distribution of satellite galaxies, which is a proxy for the formation time of the haloes. We measure the weak lensing signal for groups with a steeper than average and with a shallower than average satellite distribution and find no sign of halo assembly bias, with the bias ratio of 0.85+0.37−0.25 0.85−0.25+0.37, which is consistent with the Λ cold dark matter prediction. Our galaxy groups have typical masses of 1013 M⊙ h−1, naturally complementing previous studies of halo assembly bias on galaxy cluster scales.
Monthly Notices of the Royal Astronomical Society | 2017
P. D. Hurley; Seb Oliver; M. Betancourt; C. Clarke; William I. Cowley; S. Duivenvoorden; D. Farrah; Matthew Joseph Griffin; Cedric G. Lacey; E. Le Floc'h; Alexandra Papadopoulos; M. Sargent; Jillian M. Scudder; M. Vaccari; I. Valtchanov; Lingyu Wang
We have developed a new prior-based source extraction tool, xid+, to carry out photometry in the Herschel SPIRE (Spectral and Photometric Imaging Receiver) maps at the positions of known sources. xid+ is developed using a probabilistic Bayesian framework that provides a natural framework in which to include prior information, and uses the Bayesian inference tool Stan to obtain the full posterior probability distribution on flux estimates. In this paper, we discuss the details of xid+ and demonstrate the basic capabilities and performance by running it on simulated SPIRE maps resembling the COSMOS field, and comparing to the current prior-based source extraction tool desphot. Not only we show that xid+ performs better on metrics such as flux accuracy and flux uncertainty accuracy, but we also illustrate how obtaining the posterior probability distribution can help overcome some of the issues inherent with maximum-likelihood-based source extraction routines. We run xid+ on the COSMOS SPIRE maps from Herschel Multi-Tiered Extragalactic Survey using a 24-μm catalogue as a positional prior, and a uniform flux prior ranging from 0.01 to 1000 mJy. We show the marginalized SPIRE colour–colour plot and marginalized contribution to the cosmic infrared background at the SPIRE wavelengths. xid+ is a core tool arising from the Herschel Extragalactic Legacy Project (HELP) and we discuss how additional work within HELP providing prior information on fluxes can and will be utilized. The software is available at https://github.com/H-E-L-P/XID_plus. We also provide the data product for COSMOS. We believe this is the first time that the full posterior probability of galaxy photometry has been provided as a data product.
Monthly Notices of the Royal Astronomical Society | 2018
Simon P. Driver; Stephen K. Andrews; Elisabete da Cunha; Luke J. M. Davies; Claudia del P. Lagos; Aaron S. G. Robotham; Kevin Vinsen; A. H. Wright; Mehmet Alpaslan; Joss Bland-Hawthorn; N. Bourne; Sarah Brough; Malcolm N. Bremer; Michelle E. Cluver; Matthew Colless; Christopher J. Conselice; Loretta Dunne; S. Eales; Haley Louise Gomez; Benne W. Holwerda; Andrew M. Hopkins; Prajwal R. Kafle; Lee S. Kelvin; Jon Loveday; J. Liske; Steve Maddox; Steven Phillipps; Kevin A. Pimbblet; K. Rowlands; Anne E. Sansom
We use the energy-balance code MAGPHYS to determine stellar and dust masses, and dust corrected star-formation rates for over 200,000 GAMA galaxies, 170,000 G10-COSMOS galaxies and 200,000 3D-HST galaxies. Our values agree well with previously reported measurements and constitute a representative and homogeneous dataset spanning a broad range in stellar mass (10^8---10^12 Msol), dust mass (10^6---10^9 Msol), and star-formation rates (0.01---100 Msol per yr), and over a broad redshift range (0.0 < z < 5.0). We combine these data to measure the cosmic star-formation history (CSFH), the stellar-mass density (SMD), and the dust-mass density (DMD) over a 12 Gyr timeline. The data mostly agree with previous estimates, where they exist, and provide a quasi-homogeneous dataset using consistent mass and star-formation estimators with consistent underlying assumptions over the full time range. As a consequence our formal errors are significantly reduced when compared to the historic literature. Integrating our cosmic star-formation history we precisely reproduce the stellar-mass density with an ISM replenishment factor of 0.50 +/- 0.07, consistent with our choice of Chabrier IMF plus some modest amount of stripped stellar mass. Exploring the cosmic dust density evolution, we find a gradual increase in dust density with lookback time. We build a simple phenomenological model from the CSFH to account for the dust mass evolution, and infer two key conclusions: (1) For every unit of stellar mass which is formed 0.0065---0.004 units of dust mass is also formed; (2) Over the history of the Universe approximately 90 to 95 per cent of all dust formed has been destroyed and/or ejected.
Monthly Notices of the Royal Astronomical Society | 2016
Jillian M. Scudder; Seb Oliver; P. D. Hurley; Matthew Joseph Griffin; M. Sargent; Douglas Scott; Lingyu Wang; J. L. Wardlow
We investigate the multiplicity of extragalactic sources detected by the Herschel Space Observatory in the COSMOS field. Using 3.6- and 24-μm catalogues, in conjunction with 250-μm data from Herschel, we seek to determine if a significant fraction of Herschel sources are composed of multiple components emitting at 250 μm.We use the XID+ code, using Bayesian inference methods to produce probability distributions of the possible contributions to the observed 250-μm flux for each potential component. The fraction of Herschel flux assigned to the brightest component is highest for sources with total 250-μm fluxes <45 mJy; however, the flux in the brightest component is still highest in the brightest Herschel sources. The faintest 250-μm sources (30–45 mJy) have the majority of their flux assigned to a single bright component; the second brightest component is typically significantly weaker, and contains the remainder of the 250-μm source flux. At the highest 250-μm fluxes (45–110 mJy), the brightest and second brightest components are assigned roughly equal fluxes, and together are insufficient to reach 100 per cent of the 250-μm source flux. This indicates that additional components are required, beyond the brightest two components, to reproduce the observed flux. 95 per cent of the sources in our sample have a second component that contains more than 10 per cent of the total source flux. Particularly for the brightest Herschel sources, assigning the total flux to a single source may overestimate the flux contributed by around 150 per cent.
Monthly Notices of the Royal Astronomical Society | 2017
Yjan A. Gordon; Matt S. Owers; Kevin A. Pimbblet; Scott M. Croom; Mehmet Alpaslan; Ivan K. Baldry; Sarah Brough; Michael J. I. Brown; Michelle E. Cluver; Christopher J. Conselice; Luke J. M. Davies; Benne W. Holwerda; Andrew M. Hopkins; M. L. P. Gunawardhana; J. Loveday; Edward N. Taylor; Lingyu Wang
There exist conflicting observations on whether or not the environment of broad and narrow line AGN differ and this consequently questions the validity of the AGN unification model. The high spectroscopic completeness of the GAMA survey makes it ideal for a comprehensive analysis of the close environment of galaxies. To exploit this, and conduct a comparative analysis of the environment of broad and narrow line AGN within GAMA, we use a double-Gaussian emission line fitting method to model the more complex line profiles associated with broad line AGN.We select 209 type 1 (i.e., unobscured), 464 type 1.5-1.9 (partially obscured), and 281 type 2 (obscured) AGN within the GAMA II database. Comparing the fractions of these with neighbouring galaxies out to a pair separation of 350 kpc h-1 and delta z < 0:012 shows no difference between AGN of different type, except at separations less than 20 kpc h-1 where our observations suggest an excess of type 2 AGN in close pairs. We analyse the properties of the galaxies neighbouring our AGN and find no significant differences in colour or the star formation activity of these galaxies. Further to this we find that sigma 5 is also consistent between broad and narrow line AGN. We conclude that the observations presented here are consistent with AGN unification.
Monthly Notices of the Royal Astronomical Society | 2016
Lura K. Pitchford; Evanthia Hatziminaoglou; Anna Feltre; D. Farrah; Charlotte Clarke; Kathryn Harris; P. D. Hurley; S. J. Oliver; Mathew Page; Lingyu Wang
We explore the relationship between active galactic nuclei and star formation in a sample of 513 optically luminous type 1 quasars up to redshifts of
The Astrophysical Journal | 2017
J. L. Wardlow; A. Cooray; Willow Osage; N. Bourne; D. L. Clements; H. Dannerbauer; Loretta Dunne; Simon Dye; S. Eales; D. Farrah; C. Furlanetto; E. Ibar; R. J. Ivison; Steve Maddox; M. J. Michałowski; Dominik A. Riechers; D. Rigopoulou; Douglas Scott; Matthew William L. Smith; Lingyu Wang; Paul van der Werf; Elisabetta Valiante; I. Valtchanov; A. Verma
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Astronomy and Astrophysics | 2018
Maciej Bilicki; Henk Hoekstra; Michael J. I. Brown; Valeria Amaro; Chris Blake; Stefano Cavuoti; J. T. A. de Jong; C. Georgiou; Hendrik Hildebrandt; Christian Wolf; Alexandra Amon; Massimo Brescia; Sarah Brough; M. V. Costa-Duarte; T. Erben; Karl Glazebrook; A. Grado; Catherine Heymans; T. Jarrett; Shahab Joudaki; Konrad Kuijken; Giuseppe Longo; N. R. Napolitano; David Parkinson; Civita Vellucci; G. Verdoes Kleijn; Lingyu Wang
4 hosting extremely high star formation rates (SFRs). The quasars are selected to be individually detected by the \textit{Herschel} SPIRE instrument at
The Astrophysical Journal | 2017
Habib G. Khosroshahi; Mojtaba Raouf; H. Miraghaei; Sarah Brough; Darren J. Croton; Simon P. Driver; Alister W. Graham; Ivan K. Baldry; Michael J. I. Brown; Matt Prescott; Lingyu Wang
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Publications of the Astronomical Society of Australia | 2017
L. Spinoglio; A. Alonso-Herrero; Lee Armus; M. Baes; J. Bernard-Salas; Stefano Bianchi; M. Bocchio; Alberto D. Bolatto; C. M. Bradford; J. Braine; Francisco J. Carrera; L. Ciesla; D. L. Clements; H. Dannerbauer; Y. Doi; A. Efstathiou; E. Egami; J. A. Fernández-Ontiveros; A. Ferrara; J. Fischer; A. Franceschini; S. Gallerani; M. Giard; E. González-Alfonso; C. Gruppioni; P. Guillard; E. Hatziminaoglou; Masatoshi Imanishi; Daisuke Ishihara; N. Isobe
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