Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background

The detection of gravitational waves with Advanced LIGO and Advanced Virgo has enabled novel tests of general relativity, including direct study of the polarization of gravitational waves. While general relativity allows for only two tensor gravitational-wave polarizations, general metric theories can additionally predict two vector and two scalar polarizations. The polarization of gravitational waves is encoded in the spectral shape of the stochastic gravitational-wave background, formed by the superposition of cosmological and individually unresolved astrophysical sources. Using data recorded by Advanced LIGO during its first observing run, we search for a stochastic background of generically polarized gravitational waves. We find no evidence for a background of any polarization, and place the first direct bounds on the contributions of vector and scalar polarizations to the stochastic background. Under log-uniform priors for the energy in each polarization, we limit the energy densities of tensor, vector, and scalar modes at 95% credibility to Ω0T<5.58×10-8, Ω0V<6.35×10-8, and Ω0S<1.08×10-7 at a reference frequency f0=25 Hz. © 2018 American Physical Society

Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed

Detectable clonal mosaicism and its relationship to aging and cancer

In an analysis of 31,717 cancer cases and 26,136 cancer-free controls from 13 genome-wide association studies, we observed large chromosomal abnormalities in a subset of clones in DNA obtained from blood or buccal samples. We observed mosaic abnormalities, either aneuploidy or copy-neutral loss of heterozygosity, of >2 Mb in size in autosomes of 517 individuals (0.89%), with abnormal cell proportions of between 7% and 95%. In cancer-free individuals, frequency increased with age, from 0.23% under 50 years to 1.91% between 75 and 79 years (P = 4.8 × 10(-8)). Mosaic abnormalities were more frequent in individuals with solid tumors (0.97% versus 0.74% in cancer-free individuals; odds ratio (OR) = 1.25; P = 0.016), with stronger association with cases who had DNA collected before diagnosis or treatment (OR = 1.45; P = 0.0005). Detectable mosaicism was also more common in individuals for whom DNA was collected at least 1 year before diagnosis with leukemia compared to cancer-free individuals (OR = 35.4; P = 3.8 × 10(-11)). These findings underscore the time-dependent nature of somatic events in the etiology of cancer and potentially other late-onset diseases

On the progenitor of binary neutron star merger GW170817

On 2017 August 17 the merger of two compact objects with masses consistent with two neutron stars was discovered through gravitational-wave (GW170817), gamma-ray (GRB 170817A), and optical (SSS17a/AT 2017gfo) observations. The optical source was associated with the early-type galaxy NGC 4993 at a distance of just ∼40 Mpc, consistent with the gravitational-wave measurement, and the merger was localized to be at a projected distance of ∼2 kpc away from the galaxy's center. We use this minimal set of facts and the mass posteriors of the two neutron stars to derive the first constraints on the progenitor of GW170817 at the time of the second supernova (SN). We generate simulated progenitor populations and follow the three-dimensional kinematic evolution from binary neutron star (BNS) birth to the merger time, accounting for pre-SN galactic motion, for considerably different input distributions of the progenitor mass, pre-SN semimajor axis, and SN-kick velocity. Though not considerably tight, we find these constraints to be comparable to those for Galactic BNS progenitors. The derived constraints are very strongly influenced by the requirement of keeping the binary bound after the second SN and having the merger occur relatively close to the center of the galaxy. These constraints are insensitive to the galaxy's star formation history, provided the stellar populations are older than 1 Gyr

Role of soil covers in establishment of vegetation on gold oxide refining residues

Revegetation of ore refining residue may be limited by the physical and chemical constraints of the material, necessitating the use of soil covers and ameliorants to improve conditions for plant growth. The aim of this study was to establish the depth of soil cover needed to establish vegetation on saline, sodic, alkaline residue in a mediterranean climate, Western Australia. The effects of three soil covers (10cm topsoil plus nil, 15 or 30cm of gravel-rich subsoil (referred to as gravel), on the residue) compared to no cover, of residue ameliorants (broadcast gypsum or compost), and the influence of shrinkage-cracks on plant density, species richness, leaf stress symptoms and root abundance were examined in a 2-year field experiment. Seedling density on topsoil covers, recruited from the topsoil seedbank and broadcast seeding, was 10-fold higher than that on bare residue. Live canopy cover with topsoil-only over residue was consistently higher than with topsoil over gravel. Plant roots preferentially grew along the faces of the vertical shrinkage-cracks, as well as fine horizontal cracks and through coarser textured residue strata and had greatest abundance and depth in residue covered by topsoil-only. However, seedling density and species richness declined with topsoil-only cover compared to the thicker cover treatments in the second year. Leaf symptoms from salt damage developed in plants established with topsoil-only on residue. Increasing gypsum broadcast on residue from 30 to 60tha-1 increased root abundance and penetration, but had no effect on seedling density. We conclude that the 10cm cover of topsoil-only, while potentially cheaper to establish, and providing greater initial vigour and vegetation cover, had diminished species diversity after 2 years relative to thicker covers. By contrast the thicker cover (10cm topsoil plus 15-30cm gravel) slowed initial growth, but combined with 60tgypsumha-1 broadcast on the residue, resulted in the most diverse plant community and most vigorous root growth on saline gold oxide processing residue

Gold standard or fool's gold: the pursuit of certainty in experimental criminology

This article assesses some of the claims made for experimental research in the field of rehabilitation of offenders. It suggests that both policy officials and evaluators have tended to over-invest financially and intellectually in a technocratic model of reducing reoffending that emphasizes programmes for offenders, and to under-invest in models that see the process as a complex ‘people changing’ skill. It argues that the complexity of this process renders it hard to evaluate using experimental methods of evaluation such as randomized controlled trials (RCTs). RCTs provide strong internal validity, but in complex settings offer weak external validity, making it hard to generalize from the experimental setting to other settings. The article suggests that the proper role for evaluative research in this field should be seen as building and testing middle-level theories about how best to change offenders’ behaviour