ATLAS Survey Research Articles

Phase curve wavelength dependency as revealed by shape- and geometry- corrected asteroid phase curves

ABSTRACT We investigate the photometric properties of 35 well-observed asteroids using dense ground-based and sparse ATLAS survey data. Focusing on two-colour photometric phase functions, derived using inverse methods, we explore the wavelength dependence. Our study reveals distinct (G1, G2) domains for cyan and orange filters, especially among some S-complex asteroids. For other asteroids, substantial uncertainties prevail, or their distributions of phase curve parameters overlap, precluding definitive conclusions on wavelength dependence. Notably, for S-complex objects, the effect appears systematic, characterized by lower G2 values in the cyan filter. The effect can be explained by considering the known geometric albedo correlation: higher albedo corresponds to flatter, whereas lower albedo corresponds to steeper phase curves. In the case of equal albedo, asteroids with red spectral slopes have a more pronounced opposition effect in red and asteroids with blue spectral slopes in blue filters. We explore the variation of slope differences of orange and cyan phase curves with phase angle. For most asteroids, the largest nominal variation is observed at phase angles < 10°. This suggests that the phase colouring for the orange–cyan colour slope is more pronounced at small phase angles. Through meticulous analysis of the opposition effect amplitudes, we also pinpoint preferred rotational pole solutions. We identify inconsistencies between phase curve parameters and spectral types in specific cases. The shape- and geometry-corrected phase curves signify an important advancement in studying asteroid photometric behaviour and may offer a deeper understanding of surface and regolith properties previously obscured by these effects, such as surface roughness.

Depthwise convolutional neural network for multiband automatic quasars classification in ATLAS

ABSTRACT In recent years, the astronomical scientific community has made significant efforts to automate quasars’ detection. Automatic classification of these objects is challenging since they are very distant and appear as point sources, outnumbered by other sources. Thus, performing automatic morphological classification is not straightforward; colour dimension seems better as a key concept. Previous work using machine learning tools has proposed classifiers that use features such as magnitude and colour, working only for quasar representation, which requires high-quality observational data that is not always available. Those features are computationally costly in extensive image surveys like VST ATLAS (Shanks et al. 2015). With the continuous developments in deep-learning architectures, we find a powerful tool to perform automatic classification from images, where capturing information from different bands takes relevance in this kind of approach. In this work, we developed a new quasar selection method that we hope to apply to the complete ATLAS survey in subsequent papers, where the completeness and efficiency of depthwise architecture will be compared to more standard methods such as selection on the colour–colour diagrams and machine-learning feature-based methods. This automatic quasar classification tool uses images in u, g, i, z bands available in ATLAS, heading towards new survey requirements facing the big data era. We propose a deep-learning architecture based on depthwise convolutional units that work directly with ATLAS images, reduced by the VST pipeline. Our model reaches an accuracy of 96.53 per cent with a quasar classification f1-score of 96.49 per cent, a very competitive benchmark compared to previous unscalable approaches.

Rapid and continuing regional decline of butterflies in eastern Denmark 1993-2019

Many butterfly populations respond negatively to land-use intensification in human-dominated landscapes. Networks of protected sites have been established with the aim to halt species loss. We undertook annual surveys of all occurrence sites of 22 uncommon butterfly species in eastern Denmark during the period 2014–2019 and compared to a systematic atlas survey done 1989–1993, in order to assess trends in regional occupancy of species. Three out of 22 species went regionally extinct between 1993 and 2015. One species sustained a single population through the study period. Logistic regression for the remaining 18 species showed 10 to be in strong decline from 1993 to 2015, two showed a declining trend and six had stable trends. For all species except one, the declining trend continued 2015–2019. For five species, a sustained strong decline was evident. In 1993, the total count of occurrence sites for all 22 butterfly species was 565, which by 2019 had declined to 158 sites (a 72 % loss over 26 years). From 2015 to 2019 alone, the total count of occurrence sites shrank from 200 to 158 (a 21 % decline over just four years). Legal protection of areas (Natura 2000 and Danish Nature Protection Act §3) was, unexpectedly, not associated with lower probability of local extinction for butterfly population. The observed sustained decline across species suggests an overall low efficiency of the network of protected sites, probably due to a combination of misguided management regimes and payment of extinction debts from the past.

Phase Curves of Kuiper Belt Objects, Centaurs, and Jupiter-family Comets from the ATLAS Survey

The Kuiper Belt objects (KBOs), the Centaurs, and the Jupiter-family comets (JFCs) form an evolutionary continuum of small outer solar system objects, and their study allows us to gain insight into the history and evolution of the solar system. Broadband photometry can be used to measure their phase curves, allowing a first-order probe into the surface properties of these objects, though limited telescope time makes measuring accurate phase curves difficult. We make use of serendipitous broadband photometry from the long-baseline, high-cadence Asteroid Terrestrial-impact Last Alert System survey to measure the phase curves for a sample of 18 KBOs, Centaurs, and JFCs with unprecedentedly large data sets. We find phase curves with previously reported negative slopes become positive with increased data and are thus due to insufficient sampling of the phase-curve profile, and not a real physical effect. We search for correlations between phase-curve parameters, finding no strong correlations between any parameter pair, consistent with the findings of previous studies. We search for instances of cometary activity in our sample, finding a previously reported outburst by Echeclus and a new epoch of increased activity by Chiron. Applying the main belt asteroid HG 1 G 2 phase-curve model to three JFCs in our sample with large phase angle spans, we find their slope parameters imply surfaces more consistent with those of carbonaceous main belt asteroids than silicaceous ones.

VST ATLAS galaxy cluster catalogue I: cluster detection and mass calibration

ABSTRACT Taking advantage of ∼4700 deg2 optical coverage of the Southern sky offered by the VST ATLAS survey, we construct a new catalogue of photometrically selected galaxy groups and clusters using the orca cluster detection algorithm. The catalogue contains ∼22 000 detections with N200 > 10 and ∼9000 with N200 > 20. We estimate the photometric redshifts of the clusters using machine learning and find the redshift distribution of the sample to extend to z ∼ 0.7, peaking at z ∼ 0.25. We calibrate the ATLAS cluster mass-richness scaling relation using masses from the MCXC, Planck, ACT DR5, and SDSS redMaPPer cluster samples. We estimate the ATLAS sample to be $\gt 95~{{\ \rm per\ cent}}$ complete and $\gt 85~{{\ \rm per\ cent}}$ pure at z < 0.35 and in the M200m>$1\times 10^{14}h^{-1}\, \mbox{M}_\odot$ mass range. At z < 0.35, we also find the ATLAS sample to be more complete than redMaPPer, recovering a $\sim 40~{{\ \rm per\ cent}}$ higher fraction of Abell clusters. This higher sample completeness places the amplitude of the z < 0.35 ATLAS cluster mass function closer to the predictions of a ΛCDM model with parameters based on the Planck CMB analyses, compared to the mass functions of the other cluster samples. However, strong tensions between the observed ATLAS mass functions and models remain. We shall present a detailed cosmological analysis of the ATLAS cluster mass functions in paper II. In the future, optical counterparts to X-ray-detected eROSITA clusters can be identified using the ATLAS sample. The catalogue is also well suited for auxiliary spectroscopic target selection in 4MOST. The ATLAS cluster catalogue is publicly available at http://astro.dur.ac.uk/cosmology/vstatlas/cluster_catalogue/.

Model selection using time-delay lenses

ABSTRACT The sample of time-delay gravitational lenses appropriate for studying the geometry of the Universe continues to grow as dedicated campaigns, such as the Dark Energy Survey, the (Very Large Telescope) VLT Survey Telescope (VST) ATLAS survey, and the Large Synoptic Survey Telescope, complete their census of high-redshift sources. This catalogue now includes hundreds of strong lensing systems, at least 31 of which have reasonably accurate time-delay measurements. In this paper, we use them to compare the predictions of two competing Friedmann–Lemaître–Robertson–Walker models: flat Lambda cold dark matter (ΛCDM), characterized by two adjustable parameters (H0 and Ωm), and the Rh = ct universe (with H0 as the single free variable). Over the past decade, the latter has accounted for the data better than the standard model, most recently the emergence of well-formed galaxies discovered by JWST at cosmic dawn. Here, we show that the current sample of time-delay lenses favours Rh = ct with a likelihood of ∼$84{{\ \rm per\ cent}}$ versus ∼$16{{\ \rm per\ cent}}$ for the standard model. This level of accuracy will greatly improve as the ongoing surveys uncover many thousands of additional lens systems over the next several years.

Heart Failure Association/European Society of Cardiology Atlas second edition: new insights into understanding the burden of heart failure.

The Heart Failure Association (HFA) of the European Society of Cardiology (ESC) is committed to improving the diagnosis and treatment of heart failure (HF) and maintaining the networks of centres dedicated to its management, education, and research. Working in alliance with the National Heart Failure Societies (NHFS), this activity of the HFA has resulted in significant initiatives over the past decade, which together have given important insights into the main differences in HF management across Europe. One of these pivotal projects is the HFA/ESC Atlas, developed in collaboration and under the rules of the whole ESC Atlas project, of the European Heart Institute in Brussels. This project is intended to provide a contemporary insight into HF epidemiology, management resources, reimbursement of guideline-directed medical therapy (GDMT) and the activities of NHFS in the ESC member countries. The first edition of the HFA Atlas survey was conducted in 2018–2019 in 42 ESC member countries.1 It covered the geographical area of Europe, Mediterranean, Middle East and some of the former Soviet Union countries, comprising a total population of over 800 million people.2 According the first edition results, the median incidence of HF was 3.20 cases per 1000 person-years and a median HF prevalence of 17.20 cases per 1000 people was reported. The median number of HF hospitalizations was 2671 per million people annually, with the median length of hospital stay of 8.5 days. Diagnostic and management resources for HF varied, with high-income ESC member countries spending substantially more resources on HF compared with middle-income countries. The survey revealed a scarcity of HF centres, since the median number of hospitals with dedicated facilities and protocols for HF management was only 1.16 per million people. At the time the survey was conducted, nearly all countries reported full or partial reimbursement of standard GDMT, except ivabradine and sacubitril/valsartan. In addition, almost all countries reported having NHFS or working groups, and almost a 50% had HF patient organizations. The first edition of the HFA-ESC Atlas underlined a heterogeneity in the epidemiology of HF, the resources available for its management and the quality of care across the ESC member countries.

X-ray and optical observations of two AM Her type cataclysmic variables: V388 Peg and V1189 Her

We present time-resolved photometry of a polar V388 Peg and a strong candidate polar V1189 Her observed by T100 telescope at TÜBİTAK National Observatory between June–August 2014 and their X-ray observations using Swift archival data obtained in Apr 2014 (V388 Peg) and in Nov 2011 (V1189 Her). These data were supplemented by archival CRTS, ZTF, ASAS-SN, and ATLAS survey data which show frequent changes between high and low states. This study aims to obtain the temporal behaviors of two systems using the optical light curves and the X-ray spectral properties. The orbital periods of systems are corrected using photometric observations. Results obtained from light curves morphology related to accretion region are discussed for each system. V388 Peg shows a higher amplitude (∼1.6 mag) of orbital modulation and smooth structure in T100 optical observations. It is detected in X-rays at an unabsorbed flux (0.3–10 keV) of 3.6×10−12 erg cm−2 s−1 using a simple model of 30 keV bremsstrahlung model and the model-dependent corresponding luminosity is logL=32.3 erg s−1. The X-ray spectra of V1189 Her is fitted by a bremsstrahlung model and the estimated X-ray luminosity is found to be an order of magnitude lower than the 1032 erg s−1 typical of previously known polars. Using Gaia EDR3 distances, the information obtained from the X-ray spectral analysis and MWD∼0.7M⊙ for both sources, we estimate the mass accretion rates of ∼10−11M⊙ yr−1 (V388 Peg) and ∼10−12M⊙ yr−1 (V1189 Her). As a result of our study, it seems that these two systems have lower mass accretion rates than the long-term accretion rate that is driven by secular evolution, and considering their orbital periods this makes them interesting evolutionary test samples for polars.

Global Estimates of Capacity for Kidney Transplantation in World Countries and Regions.

Background.Kidney transplantation (KT) is the optimal treatment for kidney failure and is associated with better quality of life and survival relative to dialysis. However, knowledge of the current capacity of countries to deliver KT is limited. This study reports on findings from the 2018 International Society of Nephrology Global Kidney Health Atlas survey, specifically addressing the availability, accessibility, and quality of KT across countries and regions.Methods.Data were collected from published online sources, and a survey was administered online to key stakeholders. All country-level data were analyzed by International Society of Nephrology region and World Bank income classification.Results.Data were collected via a survey in 182 countries, of which 155 answered questions pertaining to KT. Of these, 74% stated that KT was available, with a median incidence of 14 per million population (range: 0.04–70) and median prevalence of 255 per million population (range: 3–693). Accessibility of KT varied widely; even within high-income countries, it was disproportionately lower for ethnic minorities. Universal health coverage of all KT treatment costs was available in 31%, and 57% had a KT registry.Conclusions.There are substantial variations in KT incidence, prevalence, availability, accessibility, and quality worldwide, with the lowest rates evident in low- and lower-middle income countries. Understanding these disparities will inform efforts to increase awareness and the adoption of practices that will ensure high-quality KT care is provided around the world.

Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry

The rotation period is one of the fundamental physical characteristics of asteroids. It can be determined from photometric measurements by standard methods of time-series period analysis or by creating a physical model of an asteroid with the rotation period being one of the fitted parameters. We used the latter approach to determine the sidereal rotation period for more than 5000 asteroids, out of which about 1600 are those for which their period was not known. We processed photometric measurements of about 100,000 asteroids from the ATLAS survey with the light curve inversion technique in the Asteroids@home project to search for the best-fit rotation period. This was repeated 25 times with randomly resampled—bootstrapped—data. For thousands of asteroids, their best-fit period was the same for most of the bootstrapped data sets; thus, their rotation period was determined with a high degree of reliability.

HELP: the Herschel Extragalactic Legacy Project

ABSTRACT We present the Herschel Extragalactic Legacy Project (HELP). This project collates, curates, homogenizes, and creates derived data products for most of the premium multiwavelength extragalactic data sets. The sky boundaries for the first data release cover 1270 deg2 defined by the Herschel SPIRE extragalactic survey fields; notably the Herschel Multi-tiered Extragalactic Survey (HerMES) and the Herschel Atlas survey (H-ATLAS). Here, we describe the motivation and principal elements in the design of the project. Guiding principles are transparent or ‘open’ methodologies with care for reproducibility and identification of provenance. A key element of the design focuses around the homogenization of calibration, meta data, and the provision of information required to define the selection of the data for statistical analysis. We apply probabilistic methods that extract information directly from the images at long wavelengths, exploiting the prior information available at shorter wavelengths and providing full posterior distributions rather than maximum-likelihood estimates and associated uncertainties as in traditional catalogues. With this project definition paper, we provide full access to the first data release of HELP; Data Release 1 (DR1), including a monolithic map of the largest SPIRE extragalactic field at 385 deg2 and 18 million measurements of PACS and SPIRE fluxes. We also provide tools to access and analyse the full HELP data base. This new data set includes far-infrared photometry, photometric redshifts, and derived physical properties estimated from modelling the spectral energy distributions over the full HELP sky. All the software and data presented is publicly available.

The Heart Failure Association Atlas: Heart Failure Epidemiology and Management Statistics 2019.

The Heart Failure Association (HFA) of the European Society of Cardiology (ESC) developed the HFA Atlas to provide a contemporary description of heart failure (HF) epidemiology, resources, reimbursement of guideline-directed medical therapy (GDMT) and activities of the National Heart Failure Societies (NHFS) in ESC member countries. The HFA Atlas survey was conducted in 2018-2019 in 42 ESC countries. The quality and completeness of source data varied across countries. The median incidence of HF was 3.20 [interquartile range (IQR) 2.66-4.17] cases per 1000 person-years, ranging from ≤2 in Italy and Denmark to >6 in Germany. The median HF prevalence was 17.20 (IQR 14.30-21) cases per 1000 people, ranging from ≤12 in Greece and Spain to >30 in Lithuania and Germany. The median number of HF hospitalizations was 2671 (IQR 1771-4317) per million people annually, ranging from <1000 in Latvia and North Macedonia to >6000 in Romania, Germany and Norway. The median length of hospital stay for an admission with HF was 8.50 (IQR 7.38-10) days. Diagnostic and management resources for HF varied, with high-income ESC member countries having substantially more resources compared with middle-income countries. The median number of hospitals with dedicated HF centres was 1.16 (IQR 0.51-2.97) per million people, ranging from <0.10 in Russian Federation and Ukraine to >7 in Norway and Italy. Nearly all countries reported full or partial reimbursement of standard GDMT, except ivabradine and sacubitril/valsartan. Almost all countries reported having NHFS or working groups and nearly half had HF patient organizations. The first report from the HFA Atlas has shown considerable heterogeneity in HF disease burden, the resources available for its management and data quality across ESC member countries. The findings emphasize the need for a systematic approach to the capture of HF statistics so that inequalities and improvements in care may be quantified and addressed.

NEO Population, Velocity Bias, and Impact Risk from an ATLAS Analysis

Abstract We estimate the total population of near-Earth objects (NEOs) in the solar system using an extensive, “solar-system-to-pixels” fake-asteroid simulation to debias detections of real NEOs by the ATLAS survey. Down to absolute magnitudes H = 25 and 27.6 (diameters of ∼34 and 10 m, respectively, for 15% albedo), we find total populations of (3.72 ± 0.49) × 105 and (1.59 ± 0.45) × 107 NEOs, respectively. Most of the plausible sources of error tend toward underestimation, so the true populations are likely larger. We find the distribution of H magnitudes steepens for NEOs fainter than H ∼ 22.5, making small asteroids more common than extrapolation from brighter H mags would predict. Our simulation indicates a strong bias against detecting small but dangerous asteroids that encounter Earth with high relative velocities—i.e., asteroids in highly inclined and/or eccentric orbits. Worldwide NEO discovery statistics indicate this bias affects global NEO detection capability to the point that an observational census of small asteroids in such orbits is probably not currently feasible. Prompt and aggressive followup of NEO candidates, combined with closer collaborations between segments of the global NEO community, can increase detection rates for these dangerous objects.

Availability, Accessibility, and Quality of Conservative Kidney Management Worldwide.

People with kidney failure typically receive KRT in the form of dialysis or transplantation. However, studies have suggested that not all patients with kidney failure are best suited for KRT. Additionally, KRT is costly and not always accessible in resource-restricted settings. Conservative kidney management is an alternate kidney failure therapy that focuses on symptom management, psychologic health, spiritual care, and family and social support. Despite the importance of conservative kidney management in kidney failure care, several barriers exist that affect its uptake and quality. The Global Kidney Health Atlas is an ongoing initiative of the International Society of Nephrology that aims to monitor and evaluate the status of global kidney care worldwide. This study reports on findings from the 2018 Global Kidney Health Atlas survey, specifically addressing the availability, accessibility, and quality of conservative kidney management. Respondents from 160 countries completed the survey, and 154 answered questions pertaining to conservative kidney management. Of these, 124 (81%) stated that conservative kidney management was available. Accessibility was low worldwide, particularly in low-income countries. Less than half of countries utilized multidisciplinary teams (46%); utilized shared decision making (32%); or provided psychologic, cultural, or spiritual support (36%). One-quarter provided relevant health care providers with training on conservative kidney management delivery. Overall, conservative kidney management is available in most countries; however, it is not optimally accessible or of the highest quality.

Mapping interventional cardiology in Europe: the European Association of Percutaneous Cardiovascular Interventions (EAPCI) Atlas Project.

The European Association of Percutaneous Cardiovascular Interventions (EAPCI) Atlas of Interventional Cardiology has been developed to map interventional practice across European Society of Cardiology (ESC) member countries. Here we present the main findings of a 16-country survey in which we examine the national availability of interventional infrastructure, human resource, and procedure volumes. Sixteen ESC member countries participated in the EAPCI Atlas survey. Interventional data were collected by the National Cardiac Society of each participating country. An annual median of 5131 [interquartile range (IQR) 4013-5801] diagnostic heart procedures per million people were reported, ranging from <2500 in Egypt and Romania to >7000 in Turkey and Germany. Procedure rates showed significant correlation (r = 0.67, P = 0.013) with gross national income (GNI) per capita. An annual median of 2478 (IQR 1690-2633) percutaneous coronary interventions (PCIs) per million people were reported, ranging from <1000 in Egypt and Romania to >3000 in Switzerland, Poland, and Germany. Procedure rates showed significant correlation with GNI per capita (r = 0.62, P = 0.014). An annual median of 48.2 (IQR 29.1-105.2) transcatheter aortic valve implantation procedures per million people were performed, varying from <25 per million people in Egypt, Romania, Turkey, and Poland to >100 per million people in Denmark, France, Switzerland, and Germany. Procedure rates showed significant correlation with national GNI per capita (r = 0.92, P < 0.001). The first report from the EAPCI Atlas has shown considerable international heterogeneity in interventional cardiology procedure volumes. The heterogeneity showed association with national economic resource, a reflection no doubt of the technological costs of developing an interventional cardiology service.

Does Belonging to a Patient Association Is of Help for Patients with Axial Spondyloarthritis? Results from the Atlas Survey.

International guidelines for axial spondyloarthritis (axSpA) suggest that patients benefit from becoming members of patient associations. However, the scientific evidence for this is limited and unconvincing. The objective of this study was to evaluate the differences in sociodemographic characteristics, lifestyle habits, and patient-reported outcomes (PROs) between axSpA patients belonging to patient associations versus those who do not. Out of 680 patients, 301 (44.3%) were members of a patient association. A significant proportion of association members were found to engage in physical activities considered appropriate to their condition (48.2% vs. 39.8%, p = 0.03), and smoked significantly less compared with their non-association counterparts (22.7% vs. 33.6%, p = 0.02). In addition, despite having longer disease duration, and receiving similar treatments, members of associations reported significantly lower disease activity (BASDAI 5.1 vs. 5.8; p < 0.001), less functional limitations (Functional Limitation Index 26.4 vs. 28.6; p < 0.05), and a lower risk of psychological distress (GHQ-12 4.9 vs. 6.5; p < 0.001). The results of this study suggest there are beneficial effects of belonging to a patient association for managing axSpA, since those member patients experience better lifestyle habits and PROs than those who do not so participate. Rheumatologists should encourage patients to enroll in patient associations for a holistic approach to managing their condition.

Estimating species distributions from spatially biased citizen science data

Ecological citizen science data are rapidly growing in availability and use in ecology and conservation. Many citizen science projects have the flexibility for participants to select where they survey, resulting in more participants, but also spatially biased data. It is important to assess the extent to which these spatially biased data can provide reliable estimates of species distributions. Here we quantify the extent of site selection bias in a citizen science project and the implications of this spatial bias in species distribution models. Using data from the BirdTrack citizen science project in Great Britain from 2007 to 2011, we modelled the spatial bias of data submissions. We next produced species occupancy models for 138 bird species, and assessed the impact of accounting for spatial bias. We compared the distributions to those produced using unbiased data from an Atlas survey from the same region and time period. Averaging across 138 species, models with spatially biased data produced accurate and precise estimates of species occupancy for most locations in Great Britain. However, these distributions were both less accurate and less precise in the Scottish Highlands, showing on average a positive bias. Accounting for the spatially biased sampling with weights led to on average greater accuracy in the Scottish Highlands, but did not increase precision. This region is both distinct in environmental characteristics and has a low density of observations, making it difficult to characterise environmental relationships with species occupancy. Accounting for the spatially biased sampling did not affect average accuracy or precision throughout most of the country. Spatially biased citizen science data can be used to estimate species occupancy in regions with stationary environmental relationships and good sampling across environmental space. The reliability of estimated species distributions from spatially biased data should be further validated and tested under a range of different scenarios.

Cross-correlating Planck with VST ATLAS LRGs: a new test for the ISW effect in the Southern hemisphere

ABSTRACT The integrated Sachs–Wolfe (ISW) effect probes the late-time expansion history of the Universe, offering direct constraints on dark energy. Here, we present our measurements of the ISW signal at redshifts of $\bar{z}=0.35$, 0.55, and 0.68, using the cross-correlation of the Planck cosmic microwave background temperature map with ∼0.5 million luminous red galaxies (LRGs) selected from the VST ATLAS survey. We then combine these with previous measurements based on WMAP and similar SDSS LRG samples, providing a total sample of ∼2.1 million LRGs covering ∼12 000 deg2 of sky. At $\bar{z}=0.35$ and $\bar{z}=0.55$, we detect the ISW signal at 1.2σ and 2.3σ (or 2.6σ combined), in agreement with the predictions of lambda cold dark matter (ΛCDM). We verify these results by repeating the measurements using the BOSS LOWZ and CMASS, spectroscopically confirmed LRG samples. We also detect the ISW effect in three magnitude limited ATLAS + SDSS galaxy samples extending to z ≈ 0.4 at ∼2σ per sample. However, we do not detect the ISW signal at $\bar{z}=0.68$ when combining the ATLAS and SDSS results. Further tests using spectroscopically confirmed eBOSS LRGs at this redshift remain inconclusive due to the current low sky coverage of the survey. If the ISW signal is shown to be redshift dependent in a manner inconsistent with the predictions of ΛCDM, it could open the door to alternative theories such as modified gravity. It is therefore important to repeat the high-redshift ISW measurement using the completed eBOSS sample, as well as deeper upcoming surveys such as DESI and LSST.

Atlas of axial spondyloarthritis in Spain 2017: Study design and population.

Atlas of Axial Spondyloarthritis in Spain 2017 aims to better understand the reality of the patients suffering from this disease from an integrated approach. The Atlas 2017 based its results on an extensive cross-sectional patient survey conducted in Spain (2016), validated by a multidisciplinary group of experts on spondyloarthritis. Data from 680 patients with axSpA were obtained, most of them suffered from AS, were HLA-B27 positive, older than 45 years, and live as part of a couple. A large percentage had university studies, were disabled and members of a patient association. Patients reported a diagnostic delay of 8.5 years, high disease activity (BASDAI 5.5±2.2), moderate-important stiffness (61.0%), medium-high functional limitation (74.9%), and psychological distress (GHQ 5.7±4.5). A total of 54.7% reported taking NSAIDs, 28.4% DMARDs, 36.3% biological therapy and 32.2% were not receiving pharmacological treatment. The Atlas survey data reveals still a long diagnostic delay, high disease activity, psychological distress, while an important proportion could be undertreated.

SN 2017ens: The Metamorphosis of a Luminous Broadlined Type Ic Supernova into an SN IIn

Abstract We present observations of supernova (SN) 2017ens, discovered by the ATLAS survey and identified as a hot blue object through the GREAT program. The redshift z = 0.1086 implies a peak brightness of M g = −21.1 mag, placing the object within the regime of superluminous supernovae. We observe a dramatic spectral evolution, from initially being blue and featureless, to later developing features similar to those of the broadlined Type Ic SN 1998bw, and finally showing ∼2000 km s−1 wide Hα and Hβ emission. Relatively narrow Balmer emission (reminiscent of a SN IIn) is present at all times. We also detect coronal lines, indicative of a dense circumstellar medium. We constrain the progenitor wind velocity to ∼50–60 km s−1 based on P-Cygni profiles, which is far slower than those present in Wolf–Rayet stars. This may suggest that the progenitor passed through a luminous blue variable phase, or that the wind is instead from a binary companion red supergiant star. At late times we see the ∼2000 km s−1 wide Hα emission persisting at high luminosity (∼3 × 1040 erg s−1) for at least 100 day, perhaps indicative of additional mass loss at high velocities that could have been ejected by a pulsational pair instability.