John Armstrong

PhD Student

I am working with Prof. Lyndsay Fletcher on the implementation of machine learning algorithms in solar observations. My main focus is on flare spectropolarimetry and how machine learning techniques can aid the data analysis process for carrying out chromospheric magnetic field diagnostics in a flaring atmosphere.

I have mainly applied supervised and unsupervised deep learning models to different solar aspects:

1. Deep convolutional neural network (CNN) for solar feature detection

2. Deep learning for correcting for atmospheric seeing in solar flare observations.

3. Invertible neural network (INN) for the inversion of solar flare line profiles.

A C.V. can be found here.

Github

 

Publications

  1. “Slic: Solar image classification using convolutional neural networks” J.A. Armstrong & L. Fletcher, (2019, in prep).
  2. “RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks”, C.M.J. Osborne, J.A. Armstrong & L. Fletcher, The Astrophysical Journal, vol. 873 (2), (2019). [doi] arXiv

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email: j.armstrong.2@research.gla.ac.uk

Tel: +44 141 330 2960


Stephen Brown

 

Astro-WB-SABPhD Student

I am working with Prof. Lyndsay Fletcher on solar flares. We are currently looking at the behaviour of the chromosphere during flares, with a particular focus on the hydrogen Lyman lines.

After using EVE observations to measure Doppler shifts in these lines, we found signatures of both plasma upflows and downflows. We are now using radiative hydrodynamic and radiative transfer codes, RADYN & RH, to produce simulated H Lyman profiles and understand their formation in the solar atmosphere. We have also bridged the gap between observations and simulations by performing synthetic observations of model line profiles obtained through flare simulations.

In 2016 I visited the NASA Goddard Space Flight Centre for 4 months to further this work, and presented our observations at the SDO Living With A Star conference in Burlington, VT. In 2017, I presented our findings from modelling at the Solar Physics Division conference in Portland, OR.

Publications:

Doppler speeds of the hydrogen Lyman lines in solar flares from EVE – Astronomy & Astrophysics -11/2016 – Stephen Brown, Lyndsay Fletcher & Nicolas Labrosse

Hydrogen Balmer Line Broadening in Solar and Stellar FlaresAstrophysical Journal – 2017 – Adam F Kowalski, Joel C Allred, Han Uitenbroek, Pier-Emmanuel Tremblay, Stephen Brown, Mats Carlsson, Rachel A Osten, John P Wisniewski, Suzanne L Hawley

Modelling of the Hydrogen Lyman Lines in Solar Flares – Astrophysical Journal – 07/2018 – Stephen Brown, Lyndsay Fletcher, Graham Kerr, Nicolas Labrosse, Adam Kowalski & Jaime De La Cruz Rodríguez

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email: s.brown.6@research.gla.ac.uk

Tel: +44 141 330 2960
Fax: +44 141 330 8600


Kristopher Cooper

PhD Student

Room ???
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 ????
Fax: +44 141 330 8600


Nicolina Chrysaphi

chrysaphiPhD Student

I conduct research focused on the observation and analysis of radio emissions from the Sun, under the supervision of Dr Eduard P. Kontar.  I am particularly interested in the physical mechanisms defining the morphological characteristics of Type II radio bursts that are excited by shock waves associated with Coronal Mass Ejections (CMEs).  I utilise data from several instruments including SDO/AIA, SOHO/LASCO, and LOFAR.

Refereed Publications:
[1] Chrysaphi, N., Kontar, E. P., Holman, G. D., and Temmer, M. (2018). CME-driven Shock and Type II Solar Radio Burst Band Splitting. ApJ, 868, 79. DOI: 10.3847/1538-4357/aae9e5. [arXiv]

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email: n.chrysaphi.1@research.gla.ac.uk
ORCID: 0000-0002-4389-5540

Tel: +44 141 330 2960
Fax: +44 141 330 8600


Konstantina Loumou

IMG_20151010_155200

PhD Student

k.loumou.1@research.gla.ac.uk

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 2960
Fax: +44 141 330 8600


Kyle Martin

PhD Student

f.martin.1@research.gla.ac.uk

Room 616
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 3816


David Millar

PhD Student

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 ????
Fax: +44 141 330 8600


Aaron Peat

PhD Student

I am working with Dr Nicolas Labrosse. Our research is mainly concerned with solar prominences in the ultraviolet wavelengths. I am currently looking at data from SDO/AIA and IRIS analysing the evolution of the aforementioned solar phenomena.

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email: a.peat.1@research.gla.ac.uk
Tel:  +44 141 330 2960


Christopher Osborne

PhD Student

Room ???
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 ????
Fax: +44 141 330 8600


Andrew Rodger

PhD Student

a.rodger.1@research.gla.ac.uk

Room 604
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Email:

Tel: +44 141 330 2960
Fax: +44 141 330 8600


Paul Wright

PhD Student

pjwright_photoI am a final-year Ph.D. student studying the heating of non-flaring/micro-flaring active regions, supervised by Dr Iain Hannah.

My interests range from stellar to solar physics; my main interests lie in the heating of the solar atmosphere, including active regions and loops. I am currently gaining expertise in analysis of data from SDO/AIA, Hinode/XRT, Hinode/EIS, and NuSTAR.

eBook Chapters:

[1] Paul J. Wright et al 2018. DeepEM: A Deep Learning Approach to DEM Inversion

DeepEM is a (supervised) deep learning approach to DEM inversion that is currently under development on Github, and Figure 1 compares the solution from DeepEM to that of Basis Pursuit (Cheung et al 2015).

DeepEM solutions

Figure 1: SDO/AIA images in 171 and 211 A (logT = 5.9, 6.3 K), vs the DeepEM and Basis Pursuit solutions for the same temperature.

Publications:

[1] Andrew J. Marsh, David M. Smith, Lindsay Glesener, Iain G. Hannah, Brian W. Grefenstette, Amir Caspi, Sam Krucker, Hugh S. Hudson, Kristin K. Madsen, Stephen M. White, Matej Kuhar, Paul J. Wright, Steven E. Boggs, Finn E. Christensen, William W. Craig, Charles J. Hailey, Fiona A. Harrison, Daniel Stern, and William W. Zhang 2017. First NuSTAR Limits on Quiet Sun Hard X-Ray Transient Events, ApJ, 849 131

[2] Juntao Wang, Paulo J. A. Simoes, Natasha L. S. Jeffrey, Lyndsay Fletcher, Paul J. Wright, Iain G. Hannah 2017. Observations of Reconnection Flows in a Flare on The Solar Disk, ApJL, 847, L1

[3] Paul J. Wright, Iain G. Hannah, Brian W. Grefenstette, Lindsay Glesener, Säm Krucker, Hugh S. Hudson, David M. Smith, Andrew J. Marsh, Stephen M. White, and Matej Kuhar 2017.
Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA, ApJ, 844, 132

[4] Matej Kuhar, Säm Krucker, Iain G. Hannah, Lindsay Glesener, Pascal Saint-Hilaire, Brian W. Grefenstette, Hugh S. Hudson, Stephen M. White, David M. Smith, Andrew J. Marsh, Paul J. Wright, Steven E. Boggs, Finn E. Christensen, William W. Craig, Charles J. Hailey, Fiona A. Harrison, Daniel Stern, and William W. Zhang 2017. Evidence of Significant Energy Input in the Late Phase of a Solar Flare from NuSTAR X-ray Observations, ApJ, 835, 6

A CV (pdf) can be found here.

Room 614
School of Physics and Astronomy
Kelvin Building
University of Glasgow
G12 8QQ
Scotland

Paul.Wright@glasgow.ac.uk

Tel: +44 141 330 8855 x0855
Fax: +44 141 330 8600