Extragalactic Astronomy and Cosmology at Edinburgh
Lead Research Organisation:
University of Edinburgh
Department Name: Inst for Astronomy
Abstract
Astronomical research at the University of Edinburgh covers a wide range of topics, which share the common aim of understanding the emergence of complex structures in the universe.
Publications
Garn T
(2010)
Predicting dust extinction from the stellar mass of a galaxy Dust extinction and stellar mass
in Monthly Notices of the Royal Astronomical Society
Garn T
(2010)
Obscured star formation at z = 0.84 with HiZELS: the relationship between star formation rate and Ha or ultraviolet dust extinction
in Monthly Notices of the Royal Astronomical Society
Geach J
(2012)
The clustering of Ha emitters at z =2.23 from HiZELS Clustering of HAEs at z = 2.23
in Monthly Notices of the Royal Astronomical Society
Gendre M
(2010)
The Combined NVSS-FIRST Galaxies (CoNFIG) sample - II. Comparison of space densities in the Fanaroff-Riley dichotomy
in Monthly Notices of the Royal Astronomical Society
Gil-Marín H
(2010)
Reducing sample variance: halo biasing, non-linearity and stochasticity Reducing sample variance
in Monthly Notices of the Royal Astronomical Society
Grogin N
(2011)
CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY
in The Astrophysical Journal Supplement Series
Gunawardhana M
(2011)
Galaxy and Mass Assembly (GAMA): the star formation rate dependence of the stellar initial mass function IMF-SFR relationship
in Monthly Notices of the Royal Astronomical Society
Guo Q
(2011)
Which haloes host Herschel-ATLAS galaxies in the local Universe? Clustering of Herschel-ATLAS galaxies
in Monthly Notices of the Royal Astronomical Society
Gupta S
(2010)
PARAMETER ESTIMATION FROM IMPROVED MEASUREMENTS OF THE COSMIC MICROWAVE BACKGROUND FROM QUaD
in The Astrophysical Journal
Hartley W
(2010)
The evolution of galaxy clustering since z= 3 using the UKIDSS Ultra Deep Survey: the divergence of passive and star-forming galaxies Clustering of passive galaxies
in Monthly Notices of the Royal Astronomical Society
| Description | ERC Fellowships |
| Amount | £4,000,000 (GBP) |
| Organisation | European Research Council (ERC) |
| Sector | Public |
| Country | Belgium |
| Start | 09/2009 |
| End | 09/2014 |
| Description | GAMA |
| Organisation | Australian Astronomical Observatory |
| Country | Australia |
| Sector | Public |
| PI Contribution | Principal component sky subtraction. Redhsift-space distortion analysis. |
| Collaborator Contribution | Ideas. |
| Impact | GAMA survey extended to GAMA-II in 2010 (109 allocated AAT nights) |
| Start Year | 2007 |
| Title | PROCESS AND APPARATUS |
| Description | The present invention relates to a process of bringing at least one subject data set into registration or conformity with a reference data set by electronic methods, each data set being a representation of a respective object. The process comprises: generating each of a plurality of candidate data sets (32) by applying a transformation to a reference data set, the transformation having predetermined variables that are changed such that each of the plurality of candidate data sets is a differently shifted or distorted reference data set; compressing each of the plurality of candidate data sets (34) to form a respective compressed candidate data set and compressing a subject data set (36) to form a compressed subject data set, the step of compressing comprising: determining a plurality of weighting vectors in dependence upon the predetermined variables, the number of weighting vectors being equal to the number of predetermined variables; multiplying all data in a candidate or subject data set by each weighting vector to provide respective, corresponding data elements of the compressed candidate or subject data set; comparing the compressed subject data set with each of the compressed candidate data sets and, in dependence on the comparisons, determining the transformation that has generated the candidate data set corresponding to the compressed candidate data set, which, of the plurality of compressed candidate data sets, provides a best match with the compressed subject data set (38, 40); and applying an inverse of the determined transformation to the subject data set (42). |
| IP Reference | WO2009040514 |
| Protection | Patent granted |
| Year Protection Granted | 2009 |
| Licensed | Yes |
| Impact | Formation of spin-out company "Blackford Analysis" |
| Description | ROE Visitor Centre |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | Multiple Edinburgh researchers regularly give talks that engage with the public, and particularly schools groups, under the auspices of the ROE Visitor Centre. These range from informal "meet the astronomer" sessions to more structured presentations on advances in astronomy. Evidence of Short-Term Impact is provided by basic numbers, and immediate feedback from questionnaires etc. For example, the annual ROE Open Days attract ~2500 visitors of all ages, while ~6000 school-age children either visit ROE, or receive school visits each year. In addition, more than 50 community Dark Sky events have now been held throughout Scotland, and more than 800 teachers and educators have been trained to run Dark Sky activities. The IfA makes a major contribution towards this direct people contact; for example, in 2010, ten IfA post-graduate students contributed a combined total of over 300 hours to outreach activity. It is also possible to identify clear evidence of Long-Term Impact. For example, over 100 school teachers have attended our Continuing Professional Development (CPD) courses, and have been provided with Deep Space Resources (developed as part of the CPD work at ROE) for use in the classroom. |
| Year(s) Of Engagement Activity | 2006,2007,2008,2009,2010,2011,2012,2013,2014 |