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Showing papers by "David Bacon published in 2019"


Journal ArticleDOI
Timothy W. Shimwell1, Timothy W. Shimwell2, C. Tasse3, C. Tasse4, Martin J. Hardcastle5, A. P. Mechev2, Wendy L. Williams5, Philip Best6, Huub Röttgering2, Joseph R. Callingham1, T. J. Dijkema1, F. de Gasperin7, F. de Gasperin2, D. N. Hoang2, B. Hugo4, M. Mirmont, J. B. R. Oonk2, J. B. R. Oonk1, Isabella Prandoni8, D. A. Rafferty7, J. Sabater6, Oleg Smirnov4, R. J. van Weeren2, Glenn J. White9, Glenn J. White10, Marcellin Atemkeng4, L. Bester4, E. Bonnassieux11, Marcus Brüggen7, Gianfranco Brunetti8, Krzysztof T. Chyzy12, Rachel Cochrane6, John Conway13, Judith H. Croston9, A. Danezi, Kenneth Duncan2, Marijke Haverkorn14, George Heald15, Marco Iacobelli1, Huib Intema2, Neal Jackson16, Marek Jamrozy12, Matt J. Jarvis17, Matt J. Jarvis18, R. Lakhoo18, M. Mevius1, George K. Miley2, Leah K. Morabito18, R. Morganti1, R. Morganti19, D. Nisbet6, Emanuela Orru1, Simon Perkins, R. Pizzo1, C. Schrijvers, Daniel J. Smith5, R. C. Vermeulen1, Michael W. Wise20, Michael W. Wise1, L. Alegre6, David Bacon21, I. van Bemmel22, Robert Beswick16, Annalisa Bonafede7, Annalisa Bonafede8, A. Botteon23, A. Botteon8, Stephen Bourke13, Marisa Brienza19, Marisa Brienza1, G. Calistro Rivera2, Rossella Cassano8, A. O. Clarke16, Christopher J. Conselice24, R.-J. Dettmar25, A. Drabent, C. Dumba26, K. L. Emig2, Torsten A. Enßlin27, Chiara Ferrari28, M. A. Garrett16, M. A. Garrett2, Ricardo Genova-Santos29, Ricardo Genova-Santos30, Arti Goyal12, G. Gürkan15, C. L. Hale18, Jeremy J. Harwood5, Volker Heesen7, Matthias Hoeft, Cathy Horellou13, C. A. Jackson1, G. Kokotanekov20, R. Kondapally6, Magdalena Kunert-Bajraszewska, V. H. Mahatma5, Elizabeth K. Mahony15, Subhash C. Mandal2, John McKean19, John McKean1, Andrea Merloni27, Beatriz Mingo11, Arpad Miskolczi25, S. Mooney31, Błażej Nikiel-Wroczyński12, Shane O'Sullivan7, John L. Quinn31, Wolfgang Reich27, C. Roskowinski, Antonia Rowlinson20, Antonia Rowlinson1, F. Savini7, A. Saxena2, Dominik J. Schwarz32, Aleksandar Shulevski1, Aleksandar Shulevski20, S. S. Sridhar1, H. R. Stacey1, H. R. Stacey19, S. Urquhart9, M. H. D. van der Wiel1, Eskil Varenius13, Eskil Varenius16, B. Webster9, A. Wilber7 
TL;DR: The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120-168 MHz survey of the entire northern sky for which observations are now 20% complete as discussed by the authors.
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120–168 MHz survey of the entire northern sky for which observations are now 20% complete. We present our first full-quality public data release. For this data release 424 square degrees, or 2% of the eventual coverage, in the region of the HETDEX Spring Field (right ascension 10h45m00s to 15h30m00s and declination 45°00′00″ to 57°00′00″) were mapped using a fully automated direction-dependent calibration and imaging pipeline that we developed. A total of 325 694 sources are detected with a signal of at least five times the noise, and the source density is a factor of ∼10 higher than the most sensitive existing very wide-area radio-continuum surveys. The median sensitivity is S 144 MHz = 71 μ Jy beam−1 and the point-source completeness is 90% at an integrated flux density of 0.45 mJy. The resolution of the images is 6″ and the positional accuracy is within 0.2″. This data release consists of a catalogue containing location, flux, and shape estimates together with 58 mosaic images that cover the catalogued area. In this paper we provide an overview of the data release with a focus on the processing of the LOFAR data and the characteristics of the resulting images. In two accompanying papers we provide the radio source associations and deblending and, where possible, the optical identifications of the radio sources together with the photometric redshifts and properties of the host galaxies. These data release papers are published together with a further ∼20 articles that highlight the scientific potential of LoTSS.

277 citations


Journal ArticleDOI
Edward Macaulay1, Robert C. Nichol1, David Bacon1, D. Brout2, Tamara M. Davis3, Bonnie Zhang4, Bruce A. Bassett5, Daniel Scolnic6, Anais Möller4, C. B. D'Andrea2, Samuel Hinton3, Richard Kessler6, A. G. Kim7, J. Lasker6, C. Lidman4, M. Sako2, Mathew Smith8, Mark Sullivan8, T. M. C. Abbott, S. Allam9, J. Annis9, Jacobo Asorey10, Santiago Avila1, K. Bechtol, David Brooks11, Peter de Nully Brown12, D. L. Burke13, J. Calcino3, A. Carnero Rosell, Daniela Carollo, M. Carrasco Kind14, J. Carretero, F. J. Castander15, Thomas E. Collett1, Martin Crocce15, Carlos E. Cunha13, L. N. da Costa, C. Davis13, J. De Vicente, H. T. Diehl9, P. Doel11, Alex Drlica-Wagner9, Alex Drlica-Wagner6, Tim Eifler16, Tim Eifler17, Juan Estrada9, August E. Evrard18, Alexei V. Filippenko19, D. A. Finley9, B. Flaugher9, Ryan J. Foley20, Pablo Fosalba15, Joshua A. Frieman6, Joshua A. Frieman9, Lluís Galbany21, Juan Garcia-Bellido22, Enrique Gaztanaga15, Karl Glazebrook23, Santiago González-Gaitán24, Daniel Gruen13, Robert A. Gruendl14, J. Gschwend, G. Gutierrez9, W. G. Hartley25, W. G. Hartley11, D. L. Hollowood20, K. Honscheid26, J. K. Hoormann3, Ben Hoyle27, Ben Hoyle28, Dragan Huterer18, Bhuvnesh Jain2, David J. James29, Tesla E. Jeltema20, E. Kasai30, Elisabeth Krause17, Kyler Kuehn31, N. Kuropatkin9, Ofer Lahav11, Geraint F. Lewis32, Tenglin Li9, Tenglin Li6, Marcos Lima33, Huan Lin9, M. A. G. Maia, Jennifer L. Marshall12, P. Martini26, Ramon Miquel, Peter Nugent7, Antonella Palmese9, Yen-Chen Pan34, Yen-Chen Pan35, A. A. Plazas16, A. K. Romer36, A. Roodman13, E. J. Sanchez, V. Scarpine9, R. H. Schindler13, M. S. Schubnell18, S. Serrano15, I. Sevilla-Noarbe, Rob Sharp4, Marcelle Soares-Santos37, Flavia Sobreira38, N. E. Sommer4, E. Suchyta39, E. Swann1, M. E. C. Swanson14, Gregory Tarle18, Daniel Thomas1, R. C. Thomas7, Brad E. Tucker4, S. A. Uddin40, Vinu Vikram41, Alistair R. Walker, P. Wiseman8 
TL;DR: In this paper, the authors presented an improved measurement of the Hubble constant using the inverse distance ladder method, which added the information from 207 Type Ia supernovae (SNe Ia) from the DES at redshift 0.018
Abstract: We present an improved measurement of the Hubble constant (H0) using the 'inverse distance ladder' method, which adds the information from 207 Type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) at redshift 0.018

199 citations


Journal ArticleDOI
T. M. C. Abbott, A. Alarcon1, S. Allam2, P. Andersen3  +184 moreInstitutions (56)
TL;DR: Combined results from these probes derive constraints on the equation of state, w, of dark energy and its energy density in the Universe, demonstrating the potential power of large multiprobe photometric surveys and paving the way for order of magnitude advances in constraints on properties ofdark energy and cosmology over the next decade.
Abstract: The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically confirmed type Ia supernova light curves, the baryon acoustic oscillation feature, weak gravitational lensing, and galaxy clustering. Here we present combined results from these probes, deriving constraints on the equation of state, w, of dark energy and its energy density in the Universe. Independently of other experiments, such as those that measure the cosmic microwave background, the probes from this single photometric survey rule out a Universe with no dark energy, finding w=-0.80_{-0.11}^{+0.09}. The geometry is shown to be consistent with a spatially flat Universe, and we obtain a constraint on the baryon density of Ω_{b}=0.069_{-0.012}^{+0.009} that is independent of early Universe measurements. These results demonstrate the potential power of large multiprobe photometric surveys and pave the way for order of magnitude advances in our constraints on properties of dark energy and cosmology over the next decade.

107 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigated the impact of 21cm foreground clean on the cross-correlations with spectroscopic optical surveys with well-constrained redshifts and found that a redshift uncertainty σ_z ≥ 0.04 causes significant degradation in the cross power spectrum signal.
Abstract: The future of precision cosmology could benefit from cross-correlations between intensity maps of unresolved neutral hydrogen (H i) and more conventional optical galaxy surveys. A major challenge that needs to be overcome is removing the 21cm foreground emission that contaminates the cosmological H i signal. Using N-body simulations, we simulate H i intensity maps and optical catalogues that share the same underlying cosmology. Adding simulated foreground contamination and using state-of-the-art reconstruction techniques, we investigate the impacts that 21cm foregrounds and other systematics have on these cross-correlations. We find that the impact a Fast Independent Component Analysis 21cm foreground clean has on the cross-correlations with spectroscopic optical surveys with well-constrained redshifts is minimal. However, problems arise when photometric surveys are considered: We find that a redshift uncertainty σ_z ≥ 0.04 causes significant degradation in the cross-power spectrum signal. We diagnose the main root of these problems, which relates to arbitrary amplitude changes along the line of sight in the intensity maps caused by the foreground clean and suggest solutions that should be applicable to real data. These solutions involve a reconstruction of the line-of-sight temperature means using the available overlapping optical data along with an artificial extension to the H i data through redshift to address edge effects. We then put these solutions through a further test in a mock experiment that uses a clustering-based redshift estimation technique to constrain the photometric redshifts of the optical sample. We find that with our suggested reconstruction, cross-correlations can be utilized to make an accurate prediction of the optical redshift distribution.

33 citations


Journal ArticleDOI
TL;DR: Fornax 6 is a star cluster with a peculiarly low surface brightness and irregular shape, which may indicate a strong tidal influence from its host galaxy as discussed by the authors, but it is still likely more metal-rich than most of the globular clusters in the system.
Abstract: Since first noticed by Shapley in 1939, a faint object coincident with the Fornax dwarf spheroidal has long been discussed as a possible sixth globular cluster system. However, debate has continued over whether this overdensity is a statistical artifact or a blended galaxy group. In this Letter we demonstrate, using deep DECam imaging data, that this object is well resolved into stars and is a bona fide star cluster. The stellar overdensity of this cluster is statistically significant at the level of ~ 6 - 6.7 sigma in several different photometric catalogs including Gaia. Therefore, it is highly unlikely to be caused by random fluctuation. We show that Fornax 6 is a star cluster with a peculiarly low surface brightness and irregular shape, which may indicate a strong tidal influence from its host galaxy. The Hess diagram of Fornax 6 is largely consistent with that of Fornax field stars, but it appears to be slightly bluer. However, it is still likely more metal-rich than most of the globular clusters in the system. Faint clusters like Fornax 6 that orbit and potentially get disrupted in the centers of dwarf galaxies can prove crucial for constraining the dark matter distribution in Milky Way satellites.

22 citations


Journal ArticleDOI
TL;DR: In this article, the authors developed a methodology to remove modes from a galaxy survey power spectrum that are associated with systematic errors, which can then be used to remove these systematic contaminants at least as well as applying corrective weighting to the observed galaxies, but benefits from giving an unbiased power.
Abstract: We develop a practical methodology to remove modes from a galaxy survey power spectrum that are associated with systematic errors. We apply this to the BOSS CMASS sample, to see if it removes the excess power previously observed beyond the best-fit $\Lambda$CDM model on very large scales. We consider several possible sources of data contamination, and check whether they affect the number of targets that can be observed and the power spectrum measurements. We describe a general framework for how such knowledge can be transformed into template fields. Mode subtraction can then be used to remove these systematic contaminants at least as well as applying corrective weighting to the observed galaxies, but benefits from giving an unbiased power. Even after applying templates for all known systematics, we find a large-scale power excess, but this is reduced compared with that observed using the weights provided by the BOSS team. This excess is at much larger scales than the BAO scale and does not affect the main results of BOSS. However, it will be important for the measurement of a scale-dependent bias due to primordial non-Gaussianity. The excess is beyond that allowed by any simple model of non-Gaussianity matching Planck data, and is not matched in other surveys. We show that this power excess can further be reduced but is still present using "phenomenological" templates, designed to consider further potentially unknown sources of systematic contamination. As all discrepant angular modes can be removed using "phenomenological" templates, the potentially remaining contaminant acts radially.

22 citations


Journal ArticleDOI
TL;DR: In this article, the authors used the X-ray surface brightness measurements of the Coma cluster and from 58 stacked galaxy clusters along with the weak lensing data to test the theory of emergent gravity.
Abstract: Verlinde's theory of Emergent Gravity (EG) describes gravity as an emergent phenomenon rather than a fundamental force. Applying this reasoning in de Sitter space leads to gravity behaving differently on galaxy and galaxy cluster scales; this excess gravity might offer an alternative to dark matter. Here we test these ideas using the data from the Coma cluster and from 58 stacked galaxy clusters. The X-ray surface brightness measurements of the clusters at 0.1 < z < 1.2 along with the weak lensing data are used to test the theory. We find that the simultaneous EG fits of the X-ray and weak lensing datasets are significantly worse than those provided by General Relativity (with cold dark matter). For the Coma cluster, the predictions from emergent gravity and general relativity agree in the range of 250 – 700 kpc, while at around 1 Mpc scales, EG total mass predictions are larger by a factor of 2. For the cluster stack the predictions are only in good agreement at around the 1 – 2 Mpc scales, while for r 10 Mpc EG is in strong tension with the data. According to the Bayesian information criterion analysis, GR is preferred in all tested datasets; however, we also discuss possible modifications of EG that greatly relax the tension with the data.

20 citations


Journal ArticleDOI
TL;DR: In this paper, the S3-SAX catalogue of unresolved HI (21cm) spectral line emission is used to construct a redshift distribution estimator, which is tested using simulations.
Abstract: Precision cosmology requires accurate galaxy redshifts, but next generation optical surveys will observe unprecedented numbers of resolved galaxies, placing strain on the amount of spectroscopic follow-up required. We show how useful information can be gained on the redshift distributions of optical galaxy samples from spatial cross-correlations with intensity maps of unresolved HI (21cm) spectral line emission. We construct a redshift distribution estimator, which we test using simulations. We utilise the S3-SAX catalogue which includes HI emission information for each galaxy, which we use to construct HI intensity maps. We also make use of simulated LSST and Euclid-like photometry enabling us to apply the HI clustering calibration to realistic simulated photometric redshifts. While taking into account important limitations to HI intensity mapping such as lost k-modes from foreground cleaning and poor angular resolution due to large receiver beams, we show that excellent constraints on redshift distributions can be provided for an optical photometric sample.

18 citations


Journal ArticleDOI
J. Prat, Eric J. Baxter1, T. Shin1, C. Sánchez1  +152 moreInstitutions (47)
TL;DR: In this article, a measurement of lensing ratios using galaxy position and lensing data from the Dark Energy Survey, and CMB lensing from the South Pole Telescope and Planck was presented, obtaining the highest precision lensing ratio measurements.
Abstract: Correlations between tracers of the matter density field and gravitational lensing are sensitive to the evolution of the matter power spectrum and the expansion rate across cosmic time. Appropriately defined ratios of such correlation functions, on the other hand, depend only on the angular diameter distances to the tracer objects and to the gravitational lensing source planes. Because of their simple cosmological dependence, such ratios can exploit available signal-to-noise ratio down to small angular scales, even where directly modelling the correlation functions is difficult. We present a measurement of lensing ratios using galaxy position and lensing data from the Dark Energy Survey, and CMB lensing data from the South Pole Telescope and Planck, obtaining the highest precision lensing ratio measurements to date. Relative to the concordance ΛCDM model, we find a best-fitting lensing ratio amplitude of A = 1.1 ± 0.1. We use the ratio measurements to generate cosmological constraints, focusing on the curvature parameter. We demonstrate that photometrically selected galaxies can be used to measure lensing ratios, and argue that future lensing ratio measurements with data from a combination of LSST and Stage-4 CMB experiments can be used to place interesting cosmological constraints, even after considering the systematic uncertainties associated with photometric redshift and galaxy shear estimation.

14 citations


Journal ArticleDOI
Srinivasan Raghunathan1, Srinivasan Raghunathan2, S. Patil2, Eric J. Baxter3, Bradford Benson4, Bradford Benson5, Lindsey Bleem6, T. M. Crawford4, G. P. Holder7, G. P. Holder8, T. McClintock9, Christian L. Reichardt2, T. N. Varga10, T. N. Varga11, Nathan Whitehorn1, Peter A. R. Ade12, S. Allam5, Adam Anderson5, Jason E. Austermann13, Santiago Avila14, Jessica Avva15, David Bacon16, J. A. Beall13, Amy N. Bender6, Federico Bianchini2, Sebastian Bocquet6, Sebastian Bocquet11, David Brooks17, D. L. Burke18, John E. Carlstrom4, John E. Carlstrom6, J. Carretero19, F. J. Castander20, C. L. Chang6, C. L. Chang4, H. C. Chiang21, Robert I. Citron4, M. Costanzi11, A. T. Crites4, A. T. Crites22, L. N. da Costa, Shantanu Desai23, H. T. Diehl5, J. P. Dietrich11, Matt Dobbs7, Matt Dobbs24, Peter Doel17, S. Everett25, August E. Evrard26, Chang Feng8, B. Flaugher5, Pablo Fosalba20, Joshua A. Frieman5, Jason Gallicchio27, Juan Garcia-Bellido14, Enrique Gaztanaga20, Elizabeth George15, Elizabeth George28, Tommaso Giannantonio29, A. J. Gilbert24, Robert A. Gruendl8, J. Gschwend, Nikhel Gupta2, G. Gutierrez5, T. de Haan15, T. de Haan30, N. W. Halverson31, N. L. Harrington15, Jason W. Henning6, Gene C. Hilton13, Devon L. Hollowood25, W. L. Holzapfel15, K. Honscheid32, J. D. Hrubes4, N. Huang15, Johannes Hubmayr13, Kent D. Irwin18, Tesla E. Jeltema25, M. Carrasco Kind8, Lloyd Knox33, N. Kuropatkin5, Ofer Lahav17, Adrian T. Lee15, Adrian T. Lee30, Dale Li18, Dale Li13, Marcos Lima34, A. E. Lowitz4, M. A. G. Maia, Jennifer L. Marshall35, Jeff McMahon26, Peter Melchior36, Felipe Menanteau8, S. S. Meyer4, Ramon Miquel19, L. M. Mocanu4, Joseph J. Mohr11, Joseph J. Mohr10, Joshua Montgomery24, C. Corbett Moran22, Andrew Nadolski8, T. Natoli37, T. Natoli4, John P. Nibarger13, G. I. Noble24, Valentine Novosad6, R. L. C. Ogando, Stephen Padin4, Stephen Padin22, A. A. Plazas36, C. Pryke38, David Rapetti31, David Rapetti39, A. K. Romer40, A. Roodman18, A. Carnero Rosell, Eduardo Rozo9, J. E. Ruhl41, Eli S. Rykoff18, Benjamin Saliwanchik42, Benjamin Saliwanchik41, E. J. Sanchez, J. T. Sayre31, V. Scarpine5, K. K. Schaffer43, K. K. Schaffer4, Michael Schubnell26, S. Serrano20, I. Sevilla-Noarbe, C. Sievers4, Graeme Smecher24, Mathew Smith44, Marcelle Soares-Santos45, Antony A. Stark46, K. T. Story18, E. Suchyta47, M. E. C. Swanson8, Gregory Tarle26, Carole Tucker12, K. Vanderlinde37, T. Veach48, J. De Vicente, Joaquin Vieira8, Vinu Vikram6, Gensheng Wang6, W. L. K. Wu, V. G. Yefremenko6, Yanxi Zhang5 
TL;DR: This detection of gravitational lensing due to galaxy clusters using only the polarization of the cosmic microwave background (CMB) is reported, a key first step for cluster cosmology with future low-noise CMB surveys, like CMB-S4, for which CMB polarization will be the primary channel for cluster lensing measurements.
Abstract: We report the first detection of gravitational lensing due to galaxy clusters using only the polarization of the cosmic microwave background (CMB). The lensing signal is obtained using a new estimator that extracts the lensing dipole signature from stacked images formed by rotating the cluster-centered Stokes QU map cutouts along the direction of the locally measured background CMB polarization gradient. Using data from the SPTpol 500 deg^{2} survey at the locations of roughly 18 000 clusters with richness λ≥10 from the Dark Energy Survey (DES) Year-3 full galaxy cluster catalog, we detect lensing at 4.8σ. The mean stacked mass of the selected sample is found to be (1.43±0.40)×10^{14}M_{⊙} which is in good agreement with optical weak lensing based estimates using DES data and CMB-lensing based estimates using SPTpol temperature data. This measurement is a key first step for cluster cosmology with future low-noise CMB surveys, like CMB-S4, for which CMB polarization will be the primary channel for cluster lensing measurements.

14 citations


Journal ArticleDOI
TL;DR: In this article, the angular two-point correlation of the LoFAR Two-metre Sky Survey (LoTSS) data has been studied and a suite of quality cuts have been defined.
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) will map the complete Northern sky and provide an excellent opportunity to study the distribution and evolution of the large-scale structure of the Universe. We study the completeness of the LoTSS first data release (DR1) and find a point-source completeness of 99 % above flux densities of 0.8 mJy and define a suite of quality cuts. We determine the count-in-cell statistics and differential source counts statistic and measure the angular two-point correlation function of the LoTSS radio sources. The counts-in-cell statistic reveals that the distribution of radio sources cannot be described by a spatial Poisson process. Instead, a good fit is provided by a compound Poisson distribution. The differential source counts are in good agreement with previous findings in deep fields at low radio frequencies and with simulated catalogues from the SKA design study sky and the Tiered Radio Extragalactic Continuum Simulation. The angular two-point correlation is $ 1$ deg. Restricting the value added source catalogue to low-noise regions and a flux density threshold of 2 mJy provides our most reliable estimate of the angular two-point correlation. For smaller flux density thresholds systematic issues are identified, most likely related to the flux density calibration of the individual pointings. Based on the distribution of photometric redshifts of LoTSS sources and the Planck 2018 best-fit cosmological model, the theoretically predicted angular two-point correlation between 0.1 deg and 6 deg agrees with the measured clustering for a subsample of radio sources with redshift information. We find agreement with the expectation of large-scale statistical isotropy of the radio sky at the per cent level. The angular two-point correlation agrees well with the expectation of the cosmological standard model. (abbreviated)

Journal ArticleDOI
TL;DR: In this paper, the authors show that the next generation of spectroscopic galaxy redshift surveys will be able to measure the Doppler magnification effect with sufficient signal-to-noise to test GR on large scales.
Abstract: The apparent sizes and brightnesses of galaxies are correlated in a dipolar pattern around matter overdensities in redshift space, appearing larger on their near side and smaller on their far side. The opposite effect occurs for galaxies around an underdense region. These patterns of apparent magnification induce dipole and higher multipole terms in the cross-correlation of galaxy number density fluctuations with galaxy size/brightness (which is sensitive to the convergence field). This provides a means of directly measuring peculiar velocity statistics at low and intermediate redshift, with several advantages for performing cosmological tests of GR. In particular, it does not depend on empirically-calibrated scaling relations like the Tully-Fisher and Fundamental Plane methods. We show that the next generation of spectroscopic galaxy redshift surveys will be able to measure the Doppler magnification effect with sufficient signal-to-noise to test GR on large scales. We illustrate this with forecasts for the constraints that can be achieved on parametrised deviations from GR for forthcoming low-redshift galaxy surveys with DESI and SKA2. Although the cross-correlation statistic considered has a lower signal to noise than RSD, it will be a useful probe of GR since it is sensitive to different systematics.

Journal ArticleDOI
TL;DR: In this paper, a full-sky derivation of weak lensing observables in the Post-Friedmann (PF) formalism is presented, accounting for scalar, vector and tensor perturbations, as well as galaxies' peculiar velocities.
Abstract: We present a full-sky derivation of weak lensing observables in the Post-Friedmann (PF) formalism. Weak lensing has the characteristic of mixing small scales and large scales since it is affected by inhomogeneities integrated along the photon trajectory. With the PF formalism, we develop a modelling of lensing observables which encompasses both leading order relativistic effects and effects that are due to the fully non-linear matter distribution at small scales. We derive the reduced shear, convergence and rotation up to order $1/c^4$ in the PF approximation, accounting for scalar, vector and tensor perturbations, as well as galaxies' peculiar velocities. We discuss the various contributions that break the Kaiser-Squires relation between the shear and the convergence at different orders. We pay particular attention to the impact of the frame-dragging vector potential on lensing observables and we discuss potential ways to measure this effect in future lensing surveys.

Journal ArticleDOI
TL;DR: The authors constrain the luminosity function (LF) of cluster red-sequence galaxies as a function of the red-shift of the X-ray selected clusters in the Dark Energy Survey Science Verification data.
Abstract: Using similar to 100 X-ray selected clusters in the Dark Energy Survey Science Verification data, we constrain the luminosity function ( LF) of cluster red-sequence galaxies as a function of redshi ...

Journal ArticleDOI
TL;DR: In this article, the dependence of the interactions of intermediate-size ½ self-interstitial atom (SIA) loops with an edge dislocation was investigated by molecular dynamics simulations for the interatomic potential derived by Ackland et al. (A97).
Abstract: The dependence of the interactions of intermediate-size ½ self-interstitial atom (SIA) loops with an edge dislocation on strain rate and temperature was investigated by molecular dynamics (MD) simulations for the interatomic potential derived by Ackland et al. (A97). For low temperatures (T = 1 K), the mechanisms of the interactions were in agreement with recent literature. It was shown that a second passing of the dislocation through the loop led to a different mechanism than the one that occurred upon first passing. Since these mechanisms are associated with different SIA loop sizes, and since the loop lost a number of SIAs upon first interaction, it was deduced that the dividing threshold between large and small loops (rendering them strong or weak obstacles, respectively) is at the vicinity of the loop size studied (169 SIAs). For higher temperatures (T = 300 K), the strain rate dependence proved strong: for low strain rates, the dislocation absorbed the loop as a double super-jog almost ...

Journal ArticleDOI
TL;DR: In this article, a full-sky derivation of weak lensing observables in the Post-Friedmann (PF) formalism is presented, accounting for scalar, vector and tensor perturbations, as well as galaxies' peculiar velocities.
Abstract: We present a full-sky derivation of weak lensing observables in the Post-Friedmann (PF) formalism. Weak lensing has the characteristic of mixing small scales and large scales since it is affected by inhomogeneities integrated along the photon trajectory. With the PF formalism, we develop a modelling of lensing observables which encompasses both leading order relativistic effects and effects that are due to the fully non-linear matter distribution at small scales. We derive the reduced shear, convergence and rotation up to order $1/c^4$ in the PF approximation, accounting for scalar, vector and tensor perturbations, as well as galaxies' peculiar velocities. We discuss the various contributions that break the Kaiser-Squires relation between the shear and the convergence at different orders. We pay particular attention to the impact of the frame-dragging vector potential on lensing observables and we discuss potential ways to measure this effect in future lensing surveys.

Proceedings ArticleDOI
22 Oct 2019
TL;DR: The results show, that the machine learning approach is appropriate to benchmark national innovation profiles, to identify key determinants on a cluster as well as on a national level whilst considering correlating features and long term effects.
Abstract: National innovation performance is essential for being economically competitive. The key determinants for its increase or decrease and the impact of governmental decisions or policy instruments are still not clear. Recent approaches are either limited due to qualitatively selected features or due to a small database with few observations. The aim of this paper is to propose a suitable machine learning approach for national innovation performance data analysis. We use clustering and correlation analysis, Bayesian Neural Network with Local Interpretable Model-Agnostic Explanations and BreakDown for decomposing innovation output prediction. Our results show, that the machine learning approach is appropriate to benchmark national innovation profiles, to identify key determinants on a cluster as well as on a national level whilst considering correlating features and long term effects and the impact of changes in innovation input (e.g. by governmental decision or innovation policy) on innovation output can be predicted and herewith the increase or decrease of national innovation performance.

Journal ArticleDOI
TL;DR: In this paper, the authors used the X-ray surface brightness measurements of the Coma cluster and from 58 stacked galaxy clusters along with the weak lensing data to test the theory of emergent gravity.
Abstract: Verlinde's theory of Emergent Gravity (EG) describes gravity as an emergent phenomenon rather than a fundamental force. Applying this reasoning in de Sitter space leads to gravity behaving differently on galaxy and galaxy cluster scales; this excess gravity might offer an alternative to dark matter. Here we test these ideas using the data from the Coma cluster and from 58 stacked galaxy clusters. The X-ray surface brightness measurements of the clusters at $0.1 < z < 1.2$ along with the weak lensing data are used to test the theory. We find that the simultaneous EG fits of the X-ray and weak lensing datasets are significantly worse than those provided by General Relativity (with cold dark matter). For the Coma cluster, the predictions from Emergent Gravity and General Relativity agree in the range of 250 - 700 kpc, while at around 1 Mpc scales, EG total mass predictions are larger by a factor of 2. For the cluster stack the predictions are only in good agreement at around the 1 - 2 Mpc scales, while for $r \gtrsim 10$ Mpc EG is in strong tension with the data. According to the Bayesian information criterion analysis, GR is preferred in all tested datasets; however, we also discuss possible modifications of EG that greatly relax the tension with the data.