Anchored in Irish housing tradition, Bog West: Steve Larkin's rural house resonates with its surroundings and tectonically celebrates domestic life

Full length critical peer review article about House at Bogwest by architect Emmett Scanlon writing for A10. Included visit to the house and an interview with Steve Larkin. Photographs by Alice Clancy. Photographs and plans describing House at Bogwest.

House at Bogwest in County Wexford, Ireland by Steve Larkin Architects

Publication associated with AR House awards 2012 by the Architectural Review. Text includes citation by Jury and based on interview / text with Steve Larkin. Drawings by Steve Larkin and photographs by Alice Clancy.

House in Bogwest, Steve Larkin Architects:Award

2012 AAI Awards Publication by Gandon Editions. Award winning House in Bogwest by Steve Larkin Architects. Includes text by Steve Larkin Architects, Peer Review text by AAI awards 2012 international jury of Architects including Joseph Rykwert, Keith Williams, Noel Brady, Michael McGarry and Ruairí Ó Cuív, Drawings by Steve Larkin and Photographs by Alice Clancy.

House at Bogwest, Wexford, Ireland: Steve Larkin Architect

Critical review of House at Bogwest by Steve Larkin Architects. Text by editorial team, drawings by Steve Larkin and photographs by Alice Clancy.

Effect of interparticle interaction in a free-oscillation atomic interferometer

We investigate the dynamics of two interacting bosons repeatedly scattering off a beam-splitter in a free oscillation atom interferometer. Using the interparticle scattering length and the beam-splitter probabilites as our control parameters, we show that even in a simple setup like this a wide range of strongly correlated quantum states can be created. This in particular includes the NOON state, which maximizes the quantum Fisher information and is a foremost state in quantum metrology. DOI: 10.1103/PhysRevA.87.043630

Geostatistical Fisher discriminant analysis

A geostatistical version of the classical Fisher rule (linear discriminant analysis) is presented.This method is applicable when a large dataset of multivariate observations is available within a domain split in several known subdomains, and it assumes that the variograms (or covariance functions) are comparable between subdomains, which only differ in the mean values of the available variables. The method consists on finding the eigen-decomposition of the matrix W-1B, where W is the matrix of sills of all direct- and cross-variograms, and B is the covariance matrix of the vectors of weighted means within each subdomain, obtained by generalized least squares. The method is used to map peat blanket occurrence in Northern Ireland, with data from the Tellus
survey, which requires a minimal change to the general recipe: to use compositionally-compliant variogram tools and models, and work with log-ratio transformed data.