Augmented and Virtual Reality for Data Visualization & Research Applications

Augmented and Virtual Reality for Data Visualization & Research Applications

Recent developments in AR & VR hardware have resulted in a range of nascent commercial products, e.g. the Microsoft Hololens and DAQRI smart helmet (augmented reality), Occulus Rift and HTC Vive (virtual reality).  Laboratory use is an obvious application of current tether-free AR technology, which could enable new experimental methodologies as well as offer basic procedural, efficiency, training and health and safety benefits.  VR technology, which typically requires tethering to a high-performance PC, provides a complementary platform, more suited to fully immersive computational uses such as multi-dimensional data visualization and big data applications.

Early work with the Hololens, investigating 3D visualization and basic lab usage, has already begun in the group; this project would further work to explore and develop these capabilities. See also the related project on heterogenous computing.

Open Science Initiative

Open Science Initiative

New for 2020 AMO Open Science forums. It’s early days yet, but hopefully the forums will fill a gap.

Open science – the practice of making full research projects open and accessible, from inception to publication – is an increasingly important topic, and even appearing in the popular press, particularly with regard to transparency and reproducible in research… hence open science can be viewed as the opposite of bad science.

John Arnold Made a Fortune at Enron. Now He’s Declared War on Bad Science

Open science (along with the more general notion of open data) is also part of the Canadian Government’s Open Government action plan, which includes the statement that:

The Government of Canada will maximize access to federally-funded scientific research to encourage greater collaboration and engagement with the scientific community, the private sector, and the public.


As part of our work towards open science, our articles are increasingly available on open platforms (arXiv, Authorea). And, now, good things are happening with our data too. Thanks to the Open Science Foundation (OSF) and Figshare, it’s now easy to share data, code etc. and make it citable with a DOI.

Some of our recent open science data can be found at:

Time-dependent Wavepackets and Photoionization – CS2 (2013 – present)

Our ongoing work on the calculation of time-dependent wavepackets and observables in photoionization is now collected in an OSF project (DOI: 10.17605/OSF.IO/RJMPD). Aspects of this work have previously been published, but much of the detail and methodology underlying the calculations has remained sitting on our computers. As part of our Open Science Initiative, we’re letting this data go free! Head over to the OSF project “Time-dependent Wavepackets and Photoionization – CS2” for more.

Photoionization dynamics – collected results from ePolyScat (ongoing)

Update Jan 2020: collected results are now online at ePSdata, which supersedes the previous OSF pages. This now includes DOIs for each dataset from Zenodo, and post-processing with the new python version of ePSproc.

An OSF project, collecting photoionization calculations (ePolyScat), and notes, is now available. This will be an ongoing resource for researchers in photoelectron spectroscopy, interferometry and related areas, and is part of our Open Science initiative.

Quantum Beat Photoelectron Imaging Spectroscopy of Xe in the VUV (2018)

Time-resolved multi-mass ion imaging: femtosecond UV-VUV pump-probe spectroscopy with the PImMS camera (2017)

Bootstrapping to the Molecular Frame with Time-domain Photoionization Interferometry (2017)

Time Delay in Molecular Photoionization (2016)

Let your data be free!

The rise of the data journal

The rise of the data journal

Interesting blog post on figshare about new moves to integrate open-access data with traditional scientific publishing models

Recently, we noted that 2015 seems to be the year that funders get serious about academic data. With the emergence of open data mandates, we are now talking about ‘when’, not ‘if’, the majority of academic outputs will live openly on the web. Funders, governments, and institutions are already making preparations for how this content should be best managed and preserved….

There’s lots more to read on figshare, and the Nature Scientific Data blog (source of the image used above).