scholarly journals The VIMOS Public Extragalactic Redshift Survey (VIPERS)

2018 ◽  
Vol 609 ◽  
pp. A84 ◽  
Author(s):  
M. Scodeggio ◽  
L. Guzzo ◽  
B. Garilli ◽  
B. R. Granett ◽  
M. Bolzonella ◽  
...  
Keyword(s):  
Data Reduction ◽  
Confidence Level ◽  
Repeated Measurements ◽  
Complete Sample ◽  
Data Set ◽  
Public Data ◽  
Data Release ◽  
Final Data ◽  
Redshift Survey ◽  
Automated Pipeline

We present the full public data release (PDR-2) of the VIMOS Public Extragalactic Redshift Survey (VIPERS), performed at the ESO VLT. We release redshifts, spectra, CFHTLS magnitudes and ancillary information (as masks and weights) for a complete sample of 86 775 galaxies (plus 4732 other objects, including stars and serendipitous galaxies); we also include their full photometrically-selected parent catalogue. The sample is magnitude limited to iAB ≤ 22.5, with an additional colour-colour pre-selection devised as to exclude galaxies at z < 0.5. This practically doubles the effective sampling of the VIMOS spectrograph over the range 0.5 < z < 1.2 (reaching 47% on average), yielding a final median local galaxy density close to 5 × 10-3h3 Mpc-3. The total area spanned by the final data set is ≃ 23.5 deg2, corresponding to 288 VIMOS fields with marginal overlaps, split over two regions within the CFHTLS-Wide W1 and W4 equatorial fields (at RA ≃ 2 and ≃ 22 h, respectively). Spectra were observed at a resolution R = 220, covering a wavelength range 5500−9500 Å. Data reduction and redshift measurements were performed through a fully automated pipeline; all redshift determinations were then visually validated and assigned a quality flag. Measurements with a quality flag ≥ 2 are shown to have a confidence level of 96% or larger and make up 88% of all measured galaxy redshifts (76 552 out of 86 775), constituting the VIPERS prime catalogue for statistical investigations. For this sample the rms redshift error, estimated using repeated measurements of about 3000 galaxies, is found to be σz = 0.00054(1 + z). All data are available at http://vipers.inaf.it and on the ESO Archive.

scholarly journals Stellar velocity dispersions and emission line properties of SDSS-III/BOSS galaxies

2012 ◽  
Vol 8 (S295) ◽  
pp. 129-132
Author(s):  
D. Thomas ◽  
O. Steele ◽  
C. Maraston ◽  
J. Johansson ◽  
A. Beifiori ◽  
...  
Keyword(s):  
Emission Line ◽  
Velocity Dispersion ◽  
Target Selection ◽  
Emission Lines ◽  
Clear Correlation ◽  
Data Set ◽  
Star Forming ◽  
Public Data ◽  
Data Release ◽  
Stellar Velocity

AbstractWe perform a spectroscopic analysis of 492,450 galaxy spectra from the first two years of observations of the Sloan Digital Sky Survey-III/Baryonic Oscillation Spectroscopic Survey (BOSS) collaboration. This data set has been released in the ninth SDSS data release, the first public data release of BOSS spectra. We show that the typical signal-to-noise ratio of BOSS spectra is sufficient to measure stellar velocity dispersion and emission line fluxes for individual objects. The typical velocity dispersion of a BOSS galaxy is 240 km/s, with an accuracy of better than 30 per cent for 93 per cent of BOSS galaxies. The distribution in velocity dispersion is redshift independent between redshifts 0.15 and 0.7, which reflects the survey design targeting massive galaxies with an approximately uniform mass distribution in this redshift interval. The majority of BOSS galaxies lack detectable emission lines. We analyse the emission line properties and present diagnostic diagrams using the emission lines [OII], Hβ, [OIII], Halpha, and [NII] (detected in about 4 per cent of the galaxies). We show that the emission line properties are strongly redshift dependent and that there is a clear correlation between observed frame colours and emission line properties. Within in the low-z sample around 0.15 < z < 0.3, half of the emission-line galaxies have LINER-like emission line ratios, followed by Seyfert-AGN dominated spectra, and only a small fraction of a few per cent are purely star forming galaxies. AGN and LINER-like objects, instead, are less prevalent in the high-z sample around 0.4 < z < 0.7, where more than half of the emission line objects are star forming. This is a pure selection effect caused by the non-detection of weak Hβ emission lines in the BOSS spectra. Finally, we show that star forming, AGN and emission line free galaxies are well separated in the g - r vs r - i target selection diagram.

scholarly journals AbacusSummit: A Massive Set of High-Accuracy, High-Resolution N-Body Simulations

2021 ◽  
Author(s):  
Nina A Maksimova ◽  
Lehman H Garrison ◽  
Daniel J Eisenstein ◽  
Boryana Hadzhiyska ◽  
Sownak Bose ◽  
...  
Keyword(s):  
High Resolution ◽  
High Accuracy ◽  
Covariance Estimation ◽  
Particle Mass ◽  
Data Set ◽  
The Public ◽  
Oak Ridge ◽  
The Core ◽  
Public Data ◽  
Data Release

Abstract We present the public data release of the AbacusSummit cosmological N-body simulation suite, produced with the Abacus N-body code on the Summit supercomputer of the Oak Ridge Leadership Computing Facility. Abacus achieves $\mathcal {O}\left(10^{-5}\right)$ median fractional force error at superlative speeds, calculating 70M particle updates per second per node at early times, and 45M particle updates per second per node at late times. The simulation suite totals roughly 60 trillion particles, the core of which is a set of 139 simulations with particle mass 2 × 109 h−1 M⊙ in box size 2 h−1 Gpc. The suite spans 97 cosmological models, including Planck 2018, previous flagship simulation cosmologies, and a linear derivative and cosmic emulator grid. A sub-suite of 1883 boxes of size 500 h−1 Mpc is available for covariance estimation. AbacusSummit data products span 33 epochs from z = 8 to 0.1 and include lightcones, full particle snapshots, halo catalogs, and particle subsets sampled consistently across redshift. AbacusSummit is the largest high-accuracy cosmological N-body data set produced to date.

scholarly journals Measuring Large-Scale Structure atz∼ 1 with the VIPERS galaxy survey

2014 ◽  
Vol 11 (S308) ◽  
pp. 149-160
Author(s):  
Luigi Guzzo
Keyword(s):  
Large Scale ◽  
Large Scale Structure ◽  
Scale Structure ◽  
General View ◽  
Data Set ◽  
Galaxy Clustering ◽  
Public Data ◽  
The Galaxy ◽  
Redshift Survey ◽  
Galaxy Population

AbstractThe VIMOS Public Extragalactic Redshift Survey (VIPERS) is the largest redshift survey ever conducted with the ESO telescopes. It has used the Very Large Telescope to collect nearly 100,000 redshifts from the general galaxy population at 0.5 <z< 1.2. With a combination of volume and high sampling density that is unique for these redshifts, it allows statistical measurements of galaxy clustering and related cosmological quantities to be obtained on an equal footing with classic results from local redshift surveys. At the same time, the simple magnitude-limited selection and the wealth of ancillary photometric data provide a general view of the galaxy population, its physical properties and the relation of the latter to large-scale structure. This paper presents an overview of the galaxy clustering results obtained so far, together with their cosmological implications. Most of these are based on the ∼ 55,000 galaxies forming the first public data release (PDR-1). As of January 2015, observations and data reduction are complete and the final data set of more than 90,000 redshifts is being validated and made ready for the final investigations.

scholarly journals The 2dF Galaxy Redshift Survey: power-spectrum analysis of the final data set and cosmological implications

2005 ◽  
Vol 362 (2) ◽  
pp. 505-534 ◽  
Author(s):  
Shaun Cole ◽  
Will J. Percival ◽  
John A. Peacock ◽  
Peder Norberg ◽  
Carlton M. Baugh ◽  
...  
Keyword(s):  
Power Spectrum ◽  
Spectrum Analysis ◽  
Power Spectrum Analysis ◽  
Data Set ◽  
Final Data ◽  
Redshift Survey ◽  
Galaxy Redshift

scholarly journals Understanding the Needs of Australian Carers of Adults Receiving Palliative Care in the Home: A Systematic Review of the Literature

2021 ◽  
Vol 7 ◽  
pp. 237796082098568
Author(s):  
Elizabeth M. Miller ◽  
Joanne E. Porter
Keyword(s):  
Systematic Review ◽  
Palliative Care ◽  
Information Needs ◽  
Hospital Admissions ◽  
Positive Outcomes ◽  
Review Of The Literature ◽  
Data Set ◽  
Final Data ◽  
Perceived Impact ◽  
Meta Analyses

Introduction Caring for someone at home requiring palliative care is an ominous task. Unless the current support systems are better utilised and improved to meet the needs of those carers, the demand for acute hospital admissions will increase as the Australian population ages. The aim of this review was to examine the needs of unpaid carers who were caring for adults receiving palliative care in their home in Australia. Methods: A systematic review of the literature was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Guidelines between 2008–2020. Results: Only Australian papers were selected due to the intent to understand carers’ needs in the Australian context and 17 papers made up the final data set. Four themes emerged: 1) Perceived factors influencing caregiving; 2) Perceived impact and responses to caregiving; 3) Communication and information needs; and 4) Perceptions of current palliative support services and barriers to uptake. Conclusion: Carers reported satisfaction and positive outcomes and also expressed feeling unprepared, unrecognised, stressed and exhausted.

scholarly journals A Benchmark and Evaluation of Non-Rigid Structure from Motion

2020 ◽  
Author(s):  
Sebastian Hoppe Nesgaard Jensen ◽  
Mads Emil Brix Doest ◽  
Henrik Aanæs ◽  
Alessio Del Bue
Keyword(s):  
Computer Vision ◽  
Structure From Motion ◽  
State Of The Art ◽  
The State ◽  
Quality Data ◽  
Data Set ◽  
Rigid Structure ◽  
Public Data ◽  
3D Information ◽  
Further Development

AbstractNon-rigid structure from motion (nrsfm), is a long standing and central problem in computer vision and its solution is necessary for obtaining 3D information from multiple images when the scene is dynamic. A main issue regarding the further development of this important computer vision topic, is the lack of high quality data sets. We here address this issue by presenting a data set created for this purpose, which is made publicly available, and considerably larger than the previous state of the art. To validate the applicability of this data set, and provide an investigation into the state of the art of nrsfm, including potential directions forward, we here present a benchmark and a scrupulous evaluation using this data set. This benchmark evaluates 18 different methods with available code that reasonably spans the state of the art in sparse nrsfm. This new public data set and evaluation protocol will provide benchmark tools for further development in this challenging field.

scholarly journals The first WASP public data release

2010 ◽  
Vol 520 ◽  
pp. L10 ◽  
Author(s):  
O. W. Butters ◽  
R. G. West ◽  
D. R. Anderson ◽  
A. Collier Cameron ◽  
W. I. Clarkson ◽  
...  
Keyword(s):  
Public Data ◽  
Data Release

Exercise Performance in Adolescents with Fontan Physiology (From the Pediatric Heart Network Fontan Public Data Set)

2021 ◽  
Author(s):  
Michael D. Seckeler ◽  
Brent J. Barber ◽  
Jamie N. Colombo ◽  
Alyssa M. Bernardi ◽  
Andrew W. Hoyer ◽  
...  
Keyword(s):  
Exercise Performance ◽  
Data Set ◽  
Public Data ◽  
Fontan Physiology

scholarly journals Quality control in scRNA-Seq can discriminate pacemaker cells: the mtRNA bias

2021 ◽  
Author(s):  
Anne-Marie Galow ◽  
Sophie Kussauer ◽  
Markus Wolfien ◽  
Ronald M. Brunner ◽  
Tom Goldammer ◽  
...  
Keyword(s):  
Quality Control ◽  
Cardiac Tissue ◽  
High Energy ◽  
Tissue Type ◽  
Pacemaker Cells ◽  
Data Set ◽  
Public Data ◽  
Standard Quality ◽  
Mitochondrial Transcripts

AbstractSingle-cell RNA-sequencing (scRNA-seq) provides high-resolution insights into complex tissues. Cardiac tissue, however, poses a major challenge due to the delicate isolation process and the large size of mature cardiomyocytes. Regardless of the experimental technique, captured cells are often impaired and some capture sites may contain multiple or no cells at all. All this refers to “low quality” potentially leading to data misinterpretation. Common standard quality control parameters involve the number of detected genes, transcripts per cell, and the fraction of transcripts from mitochondrial genes. While cutoffs for transcripts and genes per cell are usually user-defined for each experiment or individually calculated, a fixed threshold of 5% mitochondrial transcripts is standard and often set as default in scRNA-seq software. However, this parameter is highly dependent on the tissue type. In the heart, mitochondrial transcripts comprise almost 30% of total mRNA due to high energy demands. Here, we demonstrate that a 5%-threshold not only causes an unacceptable exclusion of cardiomyocytes but also introduces a bias that particularly discriminates pacemaker cells. This effect is apparent for our in vitro generated induced-sinoatrial-bodies (iSABs; highly enriched physiologically functional pacemaker cells), and also evident in a public data set of cells isolated from embryonal murine sinoatrial node tissue (Goodyer William et al. in Circ Res 125:379–397, 2019). Taken together, we recommend omitting this filtering parameter for scRNA-seq in cardiovascular applications whenever possible.

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