Toward Characterization Of The Type IIP Supernova Progenitor Population: A Statistical Sample Of Light Curves From Pan-STARRS1

In recent years, wide-field sky surveys providing deep multi-band imaging have presented a new path for indirectly characterizing the progenitor populations of core-collapse supernovae (SN): systematic light curve studies. We assemble a set of 76 grizy-band Type IIP SN light curves from Pan-STARRS1, obtained over a constant survey program of 4 years and classified using both spectroscopy and machine learning-based photometric techniques. We develop and apply a new Bayesian model for the full multi-band evolution of each light curve in the sample. We find no evidence of a sub-population of fast-declining explosions (historically referred to as "Type IIL" SNe). However, we identify a highly significant relation between the plateau phase decay rate and peak luminosity among our SNe IIP. These results argue in favor of a single parameter, likely determined by initial stellar mass, predominantly controlling the explosions of red supergiants. This relation could also be applied for supernova cosmology, offering a standardizable candle good to an intrinsic scatter of 0.2 mag. We compare each light curve to physical models from hydrodynamic simulations to estimate progenitor initial masses and other properties of the Pan-STARRS1 Type IIP SN sample. We show that correction of systematic discrepancies between modeled and observed SN IIP light curve properties and an expanded grid of progenitor properties, are needed to enable robust progenitor inferences from multi-band light curve samples of this kind. This work will serve as a pathfinder for photometric studies of core-collapse SNe to be conducted through future wide field transient searches.

Transition from Children’s to Adult Services forYoung People with Life-limiting Conditions: Findings from a Questionnaire Survey in Northern Ireland

Research aims: 
To describe service provision for the transition from children’s to adult services for young people with life-limiting conditions in Northern Ireland, and to identify organisational factors that promote or inhibit effective transition. 
Study population: 
Health, social, educational and charitable organisations providing transition services to young people with life-limiting conditions in Northern Ireland. 
Study design and methods: 
A questionnaire has been developed by the research team drawing on examples from the literature and the advice of an expert advisory group. The questionnaire was piloted with clinicians,academics and researchers in June 2013. The questionnaire focuses on components of practice which may promote continuity in the transition from child to adult care for young people with a life-limiting condition. The survey will be distributed throughout Northern Ireland to an estimated 75 organisations, following the Dillman total design survey method. Numerical data will be analysed using PASW Statistical software to generate descriptive statistics along with a thematic analysis of data generated by open-ended questions. 
Results and interpretations: 
The survey will provide a description of services, transition policies, approaches to managing transition, categories of service users, the ages at which transition starts and completes, experiences with minority ethnic groups, the input of service users to the process, organisational factors promoting or hindering effective transition, links between services, and service providers’ recommendations for improvements in services.The outcomes will be an overview of the transition services currently provided in Northern Ireland identifying models of good practice and the key factors influencing the quality, safety and continuity of care. Survey results are due early in 2014.

Selection of burst-like transients and stochastic variables using multi-brand image differencing in the Pan-STARRS1 Medium Deep Survey

We present a novel method for the light-curve characterization of Pan-STARRS1 Medium Deep Survey (PS1 MDS) extragalactic sources into stochastic variables (SVs) and burst-like (BL) transients, using multi-band image-differencing time-series data. We select detections in difference images associated with galaxy hosts using a star/galaxy catalog extracted from the deep PS1 MDS stacked images, and adopt a maximum a posteriori formulation to model their difference-flux time-series in four Pan-STARRS1 photometric bands gP1, rP1, iP1, and zP1. We use three deterministic light-curve models to fit BL transients; a Gaussian, a Gamma distribution, and an analytic supernova (SN) model, and one stochastic light-curve model, the Ornstein-Uhlenbeck process, in order to fit variability that is characteristic of active galactic nuclei (AGNs). We assess the quality of fit of the models band-wise and source-wise, using their estimated leave-out-one cross-validation likelihoods and corrected Akaike information criteria. We then apply a K-means clustering algorithm on these statistics, to determine the source classification in each band. The final source classification is derived as a combination of the individual filter classifications, resulting in two measures of classification quality, from the averages across the photometric filters of (1) the classifications determined from the closest K-means cluster centers, and (2) the square distances from the clustering centers in the K-means clustering spaces. For a verification set of AGNs and SNe, we show that SV and BL occupy distinct regions in the plane constituted by these measures. We use our clustering method to characterize 4361 extragalactic image difference detected sources, in the first 2.5 yr of the PS1 MDS, into 1529 BL, and 2262 SV, with a purity of 95.00% for AGNs, and 90.97% for SN based on our verification sets. We combine our light-curve classifications with their nuclear or off-nuclear host galaxy offsets, to define a robust photometric sample of 1233 AGNs and 812 SNe. With these two samples, we characterize their variability and host galaxy properties, and identify simple photometric priors that would enable their real-time identification in future wide-field synoptic surveys.

Men’s depression and suicide literacy: A nationally representative Canadian survey

Background: Male suicide prevention strategies include diagnosis and effective management of men’s depression. Fundamental to suicide prevention efforts is public awareness, which in turn, is influenced by literacy levels about men’s depression and suicide.

Aim: To examine sex differences in mental health literacy with respect to men’s depression and suicide among a cohort of Canadian respondents.

Methods: 901 English-speaking Canadian men and women completed online survey questionnaires to evaluate mental health literacy levels using 10-item D-Lit and 8-item LOSS questionnaires, which assess factual knowledge concerning men’s depression and suicide. Statistical tests (chi-square, z-test) were used to identify significant differences between sex sub-groups at 95% confidence.

Results: Overall, respondents correctly identified 67% of questions measuring literacy levels about male depression. Respondents’ male suicide literacy was significantly poorer at 53.7%. Misperceptions were especially evident in terms of differentiating men’s depressive symptoms from other mental illnesses,
estimating prevalence and identifying factors linked to male suicide. Significant sex differences highlighted that females had higher literacy levels than men in regard to male depression.

Conclusions: Implementing gender sensitive and specific programs to target and advance literacy levels about men’s depression may be key to ultimately reducing depression and suicide among men in Canada.

Bereavement outcomes: a quantitative survey identifying risk factors in family carers bereaved through cancer.

Background: Enabling patients to die in their preferred place is important but achieving preferred place of death may increase the informal carer’s risk into bereavement. Aim: to determine risk factors of family carers bereaved through cancer in Northern Ireland. Design: These results form part of a larger QUALYCARE-NI study which used postal questionnaires to capture quantitative data on carer’s bereavement scores using the Texas Revised Inventory of Grief. Setting/participants: Participants were individuals who: registered the death of a person between 1st December 2011 and 31st May 2012; where cancer (defined by ICD10 codes C00-D48) was the primary cause; where the deceased was over 18 years of age and death occurred at home, hospice, nursing home or hospital in Northern Ireland. Participants were approached in confidence by the Demography and Methodology Branch of the Northern Ireland Statistics and Research Agency. Those wishing to decline participation were invited to return the reply slip. Non-responders received a second questionnaire six weeks after initial invitation. Results indicated that risk factors positively influencing bereavement outcomes included patients having no preference for place of death and carers remaining in employment pre or post bereavement. In contrast, patients dying in hospital, carers stopping work, being of lower socio-economic status and close kinship to the deceased negatively impacted on bereavement scores. Family carers should be adequately supported to continue in employment; priority should be given to assessing the financial needs of families from lower socio-economic areas; and bereavement support should focus on close relatives of the deceased.