title: Automatic processing of multimodal tomography datasets.
abstract: With the development of fourth-generation high-brightness synchrotrons on the horizon, the already large volume of data that will be collected on imaging and mapping beamlines is set to increase by orders of magnitude. As such, an easy and accessible way of dealing with such large datasets as quickly as possible is required in order to be able to address the core scientific problems during the experimental data collection. Savu is an accessible and flexible big data processing framework that is able to deal with both the variety and the volume of data of multimodal and multidimensional scientific datasets output such as those from chemical tomography experiments on the I18 microfocus scanning beamline at Diamond Light Source.
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Aaron D
authors.initials: AD
authors.lastname: Parsons
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Stephen W T
authors.initials: SW
authors.lastname: Price
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Nicola
authors.initials: N
authors.lastname: Wadeson
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Mark
authors.initials: M
authors.lastname: Basham
authors.affiliation: Research Complex at Harwell, Didcot, OX11 0FA, UK.
authors.forename: Andrew M
authors.initials: AM
authors.lastname: Beale
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Alun W
authors.initials: AW
authors.lastname: Ashton
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: J Frederick W
authors.initials: JF
authors.lastname: Mosselmans
authors.affiliation: Diamond Light Source, Didcot, OX11 0DE, UK.
authors.forename: Paul D
authors.initials: PD
authors.lastname: Quinn
keywords: big data; imaging; mapping; multimodal; tomography