Astroinformatics

2017

Publication Year

2020-09-11T08:24:52Z

Acceptance in OA@INAF

Astroinformatics

Title

BRESCIA, Massimo; Djorgovski, S. G.; Feigelson, Eric D.; Longo, Giuseppe;

CAVUOTI, STEFANO

Authors

http://hdl.handle.net/20.500.12386/27304

Handle

PROCEEDINGS OF THE INTERNATIONAL ASTRONOMICAL UNION

Series

325

Astroinformatics

Massimo Brescia

S. G. Djorgovski

Eric D. Feigelson

Giuseppe Longo

Stefano Cavuoti

Edited by

Astroinformatics

IAU Symposium No. 325

19–25 October 2016

Sorrento, Italy

Astronomy has become data-driven in ways that are both

quantitatively and qualitatively different from the past: data structures

are not simple; procedures to gain astrophysical insights are not

obvious; and the informational content of the data sets is so high that

archival research and data mining are not merely convenient, but

obligatory, as researchers who obtain the data can only extract a small

fraction of the science enabled by it. IAU Symposium 325 took place at

a crucial stage in the development of the fi eld, when many efforts have

carried signifi cant achievements, but the widespread groups have just

begun to effectively communicate across specialties, to gather and

assimilate their achievements, and to consult cross-disciplinary

experts. Bringing together astronomers involved in surveys and large

simulation projects, computer scientists, data scientists, and

companies, this volume showcases their fruitful exchange of ideas,

methods, software, and technical capabilities.

Proceedings of the International Astronomical Union

Editor in Chief: Dr Piero Benvenuti

This series contains the proceedings of major scientifi c meetings

held by the International Astronomical Union. Each volume

contains a series of articles on a topic of current interest in

astronomy, giving a timely overview of research in the fi eld. With

contributions by leading scientists, these books are at a level

suitable for research astronomers and graduate students.

IAU Symposium

Proceedings of the International Astronomical Union

325

Proceedings of the International Astronomical Union

19–25 October 2016

Sorrento, Italy

International Astronomical Union

ISSN 1743-9213

International Astronomical Union

Proceedings of the International Astronomical Union

Cambridge Core

For further information about this journal please

go to the journal website at:

cambridge.org/iau

325

Astroinformatics

Brescia

Djorgovski

Feigelson

Longo

Cavuoti

, available at https:/www.cambridge.org/core/terms. https://doi.org/10.1017/S174392131700360X

ASTROINFORMATICS

IAU SYMPOSIUM 325

In Memory of prof. Klym Ivanovyˇ

c ˇ

Curjumov,

tragically passed away a few days before the Conference

COVER ILLUSTRATION:

This is a conceptual reproduction of the Naples skyline as seen from Sorrento,

lo-cation of the IAU Symposium, held in October 2016, together with some artifacts

exposing the arising of the Astroinformatics science as virtual bridge between

As-trophysics and ICT.

IAU SYMPOSIUM PROCEEDINGS SERIES

Chief Editor

PIERO BENVENUTI, IAU General Secretary

IAU-UAI Secretariat

98-bis Blvd Arago

F-75014 Paris

France

iau-general.secretary@iap.fr

Editor

MARIA TERESA LAGO, IAU Assistant General Secretary

Universidade do Porto

Centro de Astrof´ısica

Rua das Estrelas

4150-762 Porto

Portugal

mtlago@astro.up.pt

INTERNATIONAL ASTRONOMICAL UNION

UNION ASTRONOMIQUE INTERNATIONALE

U U

Union

International Astronomical

ASTROINFORMATICS

PROCEEDINGS OF THE 325th SYMPOSIUM

OF THE INTERNATIONAL ASTRONOMICAL

UNION HELD IN SORRENTO, ITALY

OCTOBER 19–25, 2016

Edited by

MASSIMO BRESCIA

INAF OACN, Napoli, Italy

S. G. DJORGOVSKI

Dept. of Astronomy, Caltech, USA

ERIC D. FEIGELSON

Dept. of Astronomy and Astrophysics, Penn State Univ., USA

GIUSEPPE LONGO

Dept. of Physics, University Federico II, Italy

and

STEFANO CAVUOTI

c a m b r i d g e

u n i v e r s i t y

p r e s s

University Printing House, Cambridge CB2 8BS, United Kingdom

1 Liberty Plaza, Floor 20, New York, NY 10006, USA

10 Stamford Road, Oakleigh, Melbourne 3166, Australia

c

 International Astronomical Union 2017

This book is in copyright. Subject to statutory exception

and to the provisions of relevant collective licensing agreements,

no reproduction of any part may take place without

the written permission of the International Astronomical Union.

First published 2017

Printed in the UK by Bell & Bain, Glasgow, UK

Typeset in System L

_{TEX 2ε}

A catalogue record for this book is available from the British Library Library of Congress

Cataloguing in Publication data

This journal issue has been printed on FSC

-certified paper and cover board. FSC is an

independent, non-governmental, not-for-profit organization established to promote the

responsible management of the world’s forests. Please see www.fsc.org for information.

ISBN 9781107169951 hardback

ISSN 1743-9213

v

Table of Contents

Preface . . . .

xi

Address by the Local Organizing Committee . . . .

xii

Address by the Scientific Organizing Committee . . . .

xiii

The Organizing Committee . . . .

xiv

Conference Photograph . . . .

xv

Participants . . . .

xvi

Astroinformatics Projects

The changing landscape of astrostatistics and astroinformatics . . . .

3

E. D. Feigelson

Supercomputer simulations of structure formation in the Universe . . . .

10

T. Ishiyama

From Sky to Earth: Data Science Methodology Transfer . . . .

17

A. A. Mahabal, D. Crichton, S. G. Djorgovski, E. Law & J. S. Hughes

What will the future of cloud-based astronomical data processing look like? . . . .

27

A. W. Green, E. Mannering, L. Harischandra, M. Vuong, S. O’Toole,

K. Sealey & A. M. Hopkins

Multi-wavelength studies of the statistical properties of active galaxies using Big

Data. . . .

32

A. M. Mickaelian, H. V. Abrahamyan, M. V. Gyulzadyan, G. A. Mikayelyan

& G. M. Paronyan

Learn from every mistake! Hierarchical information combination in astronomy . .

39

M. S¨

uveges, S. Fotopoulou, J. Coupon, S. Paltani, L. Eyer & L. Rimoldini

Exploring the Parameter Space of Compact Binary Population Synthesis . . . .

46

J. W. Barrett, I. Mandel, C. J. Neijssel, S. Stevenson & A. Vigna-G´

omez

Effects of mergers on non-parametric morphologies . . . .

51

L. A. Bignone, P. B. Tissera, E. Sillero, S. E. Pedrosa, L. J. Pellizza &

D. G. Lambas

ACS/WFC Pixel History, Bringing the Pixels Back to Science . . . .

55

D. Borncamp, N. Grogin, M. Bourque & S. Ogaz

Investigation of Spatially Unresolved Magnetic Field Outside Sunspots Using

Hin-ode/SOT Observations. . . .

59

O. Botygina, M. Gordovskyy & V. Lozitsky

An Effective Method for Modeling Two-dimensional Sky Background of LAMOST

63

vi

Contents

Application of Compressive Sensing to Gravitational Microlensing Experiments .

67

A. Korde-Patel, R. K. Barry & T. Mohsenin

Current and future surveys

The Euclid Data Processing Challenges . . . .

73

P. Dubath, N. Apostolakos, A. Bonchi, A. Belikov, M. Brescia, S. Cavuoti,

P. Capak, J. Coupon, C. Dabin, H. Degaudenzi, S. Desai, F. Dubath,

A. Fontana, S. Fotopoulou, M. Frailis, A. Galametz, J. Hoar, M. Holliman,

B. Hoyle, P. Hudelot, O. Ilbert, M. Kuemmel, M. Melchior, Y. Mellier,

J. Mohr, N. Morisset, S. Paltani, R. Pello, S. Pilo, G. Polenta, M. Poncet,

R. Saglia, M. Salvato, M. Sauvage, M. Schefer, S. Serrano, M. Soldati,

A. Tramacere, R. Williams & A. Zacchei

The European perspective for LSST. . . .

83

E. Gangler

Everything we’d like to do with LSST data, but we don’t know (yet) how . . . . .

93

ˇ

Z. Ivezi´

c, A. J. Connolly & M. Juri´

c

Astroinformatics Challenges from Next-generation Radio Continuum Surveys . .

103

R. P. Norris

The Hubble Source Catalog . . . .

114

S. H. Lubow

Pan-STARRS1 as pilot-survey for panoptic time-domain science . . . .

118

N. Hernitschek, H.-W. Rix, B. Sesar & E. F. Schlafly

AlertSim - Serbian Contribution to the LSST . . . .

122

D. Jevremovi´

c, V. Vujˇ

ci´

c, V. A. Sre´

ckovi´

c, J. Aleksi´

c, S. Erkapi´

c &

N. Milovanovi´

c

Data Mining and Machine Learning

Prototype-based Models for the Supervised Learning of Classification Schemes .

129

M. Biehl, B. Hammer & T. Villmann

Classification of galaxy type from images using Microsoft R Server . . . .

139

A. de Vries

Hierarchical Matching and Regression with Application to Photometric Redshift

Estimation. . . .

145

F. Murtagh

Dealing with Uncertain Multimodal Photometric Redshift Estimations . . . .

156

K. L. Polsterer

Cooperative photometric redshift estimation. . . .

166

S. Cavuoti, C. Tortora, M. Brescia, G. Longo, M. Radovich,

N. R. Napolitano, V. Amaro & C. Vellucci

The analysis of VERITAS muon images using convolutional neural networks . . .

173

Contents

vii

Identification of Interesting Objects in Large Spectral Surveys Using Highly

Par-allelized Machine Learning . . . .

180

P. ˇ

Skoda, A. Paliˇ

cka, J. Koza & K. Shakurova

Automatic Source Classification in Digitised First Byurakan Survey . . . .

186

M. Topinka, A. Mickaelian, R. Nesci & C. Rossi

Deep learning for studies of galaxy morphology . . . .

191

D. Tuccillo, M. Huertas-Company, E. Decenci`

ere & S. Velasco-Forero,

METAPHOR: Probability density estimation for machine learning based

photo-metric redshifts . . . .

197

V. Amaro, S. Cavuoti, M. Brescia, C. Vellucci, C. Tortora & G. Longo

A Comparison of Classifiers for Solar Energetic Events . . . .

201

G. Barnes, N. Schanche, K. D. Leka, A. Aggarwal & K. Reeves

Morphology and Interaction of Galaxies using Deep Learning . . . .

205

F. Caro, M. Huertas-Company & G. Cabrera

Uncertain Photometric Redshifts with Deep Learning Methods . . . .

209

A. D’Isanto

Determining the parameters of high amplification microlensing events by means of

statistical machine learning techniques. . . .

213

E. Fedorova

Galaxy Classifications with Deep Learning . . . .

217

V. Lukic & M. Br¨

uggen

An Automated Galaxy Spectra Recognition Method Basing on Spectral Lines

Information . . . .

221

J. Zhang, X. Chen, Y. Wu & X. Li

ELM-KNN for photometric redshift estimation of quasars. . . .

225

Y. Zhang, Y. Tu, Y. Zhao & H. Tian

Time Domain & Cosmology

Detection of quasars in the time domain . . . .

231

M. J. Graham, S. G. Djorgovski, D. J. Stern, A. Drake & A. Mahabal

Transient events in LSST survey data . . . .

242

J. Aleksi´

c, V. Vujˇ

ci´

c & D. Jevremovi´

c

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning

and Unsupervised Clustering. . . .

247

E. E. O. Ishida, M. Sasdelli, R. Vilalta, M. Aguena, V. C. Busti,

H. Camacho, A. M. M. Trindade, F. Gieseke, R. S. de Souza, Y. T. Fantaye

& P. A. Mazzali

Challenges in Timeseries Analysis from Microlensing . . . .

253

R. A. Street

An autoregressive model for irregular time series of variable stars . . . .

259

viii

Contents

On the relationship between long-period comets and large trans-Neptunian

plane-tary bodies . . . .

263

R. Guliyev & A. Guliyev

Optical light curves of FUor and FUor-like objects . . . .

266

E. Semkov, S. Peneva & S. Ibryamov

The search of radio transients in the RATAN-600 radio telescope surveys . . . .

270

O. P. Zhelenkova & E. K. Majorova

Starspot migration in close binaries: A fast parameters evaluation from large sky

surveys. . . .

274

B. Debski & S. Zola

Data Visualization

Deep data: discovery and visualization Application to hyperspectral ALMA

im-agery. . . .

281

E. Mer´

enyi, J. Taylor & A. Isella

Integrated data access, visualization and analysis for Galactic Plane surveys: the

VIALACTEA case . . . .

291

S. Molinari, R. Butora, S. Cavuoti, M. Molinaro, G. Riccio, E. Sciacca,

F. Vitello, U. Becciani, M. Brescia, A. Costa & R. Smareglia

Interactive (statistical) visualisation and exploration of a billion objects with vaex

299

M. A. Breddels

3-D interactive visualisation tools for H

I

spectral line imaging . . . .

305

J. M. van der Hulst, D. Punzo & J. B. T. M. Roerdink

Collaborative visual analytics of radio surveys in the Big Data era . . . .

311

D. Vohl, C. J. Fluke, A. H. Hassan, D. G. Barnes & V. A. Kilborn

Data mining and visualization from planetary missions: the VESPA-Europlanet2020

activity . . . .

316

A. Longobardo, M. T. Capria, A. Zinzi, S. Ivanovski, M. Giardino,

G. Di Persio, S. Fonte, E. Palomba, L. A. Antonelli, S. Fonte , P. Giommi

& the Europlanet VESPA 2020 Team

A team spectral inspection platform based on ASERA . . . .

320

H. Yuan, Y. Zhang, Y. Wu, Y. Lei, Y. Dong, Z. Bai, G. Li, H. Zhang &

Y. Zhao

Astroinformatics Tools

C

3

_{: A Command-line Catalogue Cross-matching tool for modern astrophysical}

survey data . . . .

327

G. Riccio, M. Brescia, S. Cavuoti, A. Mercurio, A. M. Di Giorgio &

S. Molinari

Contents

ix

Target and (Astro-)WISE technologies Data federations and its applications . . .

333

E. A. Valentijn, K. Begeman, A. Belikov, D. R. Boxhoorn, J. Brinchmann,

J. McFarland, H. Holties, K. H. Kuijken, G. V. Kleijn, W.-J. Vriend,

O. R. Williams, J. B. T. M. Roerdink, L. R. B. Schomaker, M. A. Swertz,

A. Tsyganov & G. J. W. van Dijk

What can the programming language Rust do for astrophysics? . . . .

341

S. Blanco-Cuaresma & E. Bolmont

Astrophysics and Big Data: Challenges, Methods, and Tools. . . .

345

M. Garofalo, A. Botta & G. Ventre

CoLiTec software - detection of the near-zero apparent motion. . . .

349

S. V. Khlamov, V. E. Savanevych, O. B. Briukhovetskyi & A. V. Pohorelov

Design and Implement of Astronomical Cloud Computing Environment In

China-VO . . . .

353

C. Li, C. Cui,Linying Mi, B. He, D. Fan, S. Li, S. Yang, Y. Xu, J. Han,

J. Chen, H. Zhang, C. Yu, J. Xiao, C. Wang, Z. Cao, Y. Fan, L. Liu,

X. Chen, W. Song & K. Du

PERICLES: a knowledge management programme applied to solar data from

In-ternational Space Station-Columbus. . . .

357

C. Muller and the PERICLES consortium

UkrVO Astroinformatics Software and Web-services . . . .

361

I. B. Vavilova, Ya. S. Yatskiv, L. K. Pakuliak, I. L. Andronov,

V. M. Andruk, Yu. I. Protsyuk, V. E. Savanevych, D. O. Savchenko &

V. S. Savchenko

Archives in Astronomy

The Hubble Catalog of Variables . . . .

369

P. Gavras, A. Z. Bonanos, I. Bellas-Velidis, V. Charmandaris,

I. Georgantopoulos, D. Hatzidimitriou, G. Kakaletris, A. Karampelas,

N. Laskaris, D. J. Lennon, M. I. Moretti, E. Pouliasis, K. Sokolovsky,

Z. T. Spetsieri, K. Tsinganos, B. C. Whitmore & M. Yang

The WFIRST Science Archive and Analysis Center . . . .

373

S. R. Heap, A. S. Szalay and the WFIRST Science Archive Team

Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining

Discovery Engine . . . .

379

J. M. Mazzarella and the NED Team

Data Management in the Euclid Science Archive System. . . .

385

P. de Teodoro, S. Nieto & B. Altieri

Meteor Databases in Astronomy. . . .

389

S. V. Kolomiyets

Mol-D a Database and a Web Service within the Serbian Virtual Observatory and

the Virtual Atomic and Molecular Data Centre . . . .

393

V. A. Sre´

ckovi´

c, D. Jevremovi´

c, V. Vujˇ

ci´

c, L. M. Ignjatovi´

c,

N. Milovanovi´

c, S. Erkapi´

c & M. S. Dimitrijevi´

c

x

Contents

The HST/WFC3 Quicklook Project: A User Interface to Hubble Space Telescope

Wide Field Camera 3 Data . . . .

397

M. Bourque, V. Bajaj, A. Bowers, M. Dulude, M. Durbin, C. Gosmeyer, H.

Gunning,366 H. Khandrika, C. Martlin, B. Sunnquist & A. Viana

xi

Preface

As President of Commission on Astroinformatics and Astrostatistics of the International

Astronomical Union, I welcome you to the first IAU Symposium on astroinformatics.

This is not the first meeting in the field: the 26th meeting on ADASS (Astronomical

Data Analysis Software and Systems) was held last weak in Trieste (and members of

that group are here today), and this symposium has a strong heritage in workshops

held in recent years at Caltech, Seattle, and Sydney. But this is the first time that the

broader community of astronomers, through the IAU in collaboration of the giant IEEE

organization has recognized this new field of study devoted to the challenges of Big

Data and advanced methodology in astronomical research. This is the first time experts

from around the world have gathered to share experiences and plan for the future. I

have a comment to make. The typical IAU Symposium treats some well-established field

of stars or galaxies or cosmology where the leading groups know each other well. But

astroinformatics is such a young field, that we do not know each other and we do not

know what ideas will emerge from this meeting. So I encourage each of us to have a

creative approach to this meeting, work hard to talk to strangers, and help generate a

community of scholars who can lead this field into the future.

Eric D. Feigelson

Pennsylvania State University

IAU Commission B3 Astroinformatics and Astrostatistics

December 18, 2016

xii

Address by the Local Organizing Committee

Dear colleagues,

On behalf of the Local Organizing Committee, it was a real pleasure to host all of you

to the Symposium on Astroinformatics of the International Astronomical Union. We

hope that, in this new occasion, we did not disappoint you and that the symposium

fulfilled your expectations. All our efforts were in this direction. We have counted with

very efficient people in the LOC, especially Arianna, who was the true pillar of the

organization. Also, we have been very fortunate of having the unconditional help and

support of students Civita, Giuseppe, Michele, young collaborators Alfonso, Giuseppe,

Stefano and the staff and personnel of the Grand Hotel Vesuvio.

We are deeply grateful to several institutions and corporations for their financial and

or-ganizing support: the International Astronomical Union, the Microsoft Corporation, the

IEEE Computational Intelligence Society and Astrominer Task Force, the Department

of Physics Ettore Pancini of the University Federico II, the Capodimonte Astronomical

Observatory of the italian National Institute of Astrophysics, the italian Society of

Rel-ativity and Gravitational Physics, the italian National Institute of Nuclear Physics, the

Astroinformatics and Astrostatistics Portal.

Thank you very much, and hope to see you again somewhere.

Massimo Brescia, chair LOC

Sorrento, October 24, 2016

xiii

Address by the Scientific Organizing Committee

Dear colleagues,

The SOC welcomes you at this IAU Symposium No. 325. We are delighted to see you

all here, in Sorrento. This is also the sixth international workshop in the series

Astroin-formatics which started in 2011 in Pasadena. We gathered here because during the last

decade our discipline has experienced a true paradigmatic shift moving from small data

sets to the big data regime. Dedicated survey telescopes, both ground based and space

borne, are routinely producing on a daily base many tens of terabytes of data of

unprece-dented quality and complexity. In the near future, new instruments such as LSST and

SKA will increase this data stream by several orders of magnitude. Such volumes of data

cannot be dealt with traditional tools and each step of the data acquisition chain, from

acquisition to processing and interpretation, needs to be tackled with a different mind

frame, delegating most of the work to automatic tools exploiting all advances in high

performance computing, machine learning and visualization. Astronomy is not the only

science which is undergoing such transformation: biosciences, geophysics, remote

sens-ing, environmental sciences, are confronting similar problems and while the underlying

methodologies are the same, each field is proposing its own solutions to specific problems

and rising new issues which can be profitably used by the other fields. This is why this

meeting is attended not only by astronomers.

Over the last decade, astroinformatics has in fact established itself as a new, vibrant

field of research placed at the intersection of many different disciplines -mathematics,

statistics, computer science. These efforts have led, among the other things, to the

estab-lishment of new professional associations such as the International Astrostatistics

Asso-ciation or the Astrominer Task Force under the auspices of the Data Mining Technical

Committee of the IEEE Computational Intelligence Society.

This symposium would have not been possible without the contributions of many

in-stitutes and bodies. We wish to thank for their sponsorship the Department of Physics

Ettore Pancini of the University Federico II in Napoli, the Capodimonte Observatory of

the Italian National Institute for Astrophysics (INAF), the Napoli Unit of the Italian

National Institute for Nuclear Physics (INFN), the Astrominer Task Force of the IEEE,

the Municipality of Sorrento, the Microsoft Research and, last but not least, the

Interna-tional Astronomical Union who has provided numerous grants to allow the participation

of many colleagues from other countries. The SOC also wishes to thank the members

of the LOC and his chair person Massimo Brescia for having organized such a great

meeting.

We wish you all a very constructive and pleasant five working days here.

Giuseppe Longo, Stanislav G. Djorgovski and Eduardo Vera, Co-chairs SOC

Sorrento, October 20, 2016

xiv

THE ORGANIZING COMMITTEE

Scientific

S. G. Djorgovski (USA), Co-Chair

G. Longo (Italy), Co-Chair

E. Vera (Chile), Co-Chair

M. Brescia (Italy)

P. Estevez (Chile)

E. Feigelson (USA)

A. Goodman (USA)

G. Lake (Switzerland)

E. Merenyi (USA)

F. Murtagh (UK)

V. Pankratius (USA)

S. Staggs (USA)

A. Szalay (USA)

R. Vilalta (USA)

D. Vinkovic (Croatia)

Local

M. Brescia (chair)

G. Angora

A. Cavallo

S. Cavuoti

M. Delli Veneri

Nocella

C. Vellucci

Acknowledgements

The symposium is sponsored and supported by the IAU Division B Facilities,

Technologies and Data Science; and by the IAU Commission B3 Astroinformatics

and Astrostatistics.

The Local Organizing Committee operated under the auspices of the

Instituto Nazionale di Astrofisica - Osservatorio Astronomico di Capodimonte,

University of Naples Federico II.

Funding by the

IAU - International Astronomical Union,

IEEE CIS - IEEE Computational Intelligence Society,

MICROSOFT - Microsoft Corporation,

UNINA - Universita’ degli Studi Federico II, Napoli,

INFN - Istituto Nazionale di Fisica Nucleare,

DSF - Dipartimento di Fisica Ettore Pancini, UNINA,

OACN - Osservatorio Astronomico di Capodimonte - INAF,

SIGRAV - Societa’ Italiana di Relativita’ e Fisica della Gravitazione,

and

IEEE - Astrominer Task Force,

ASAIP - Astrostatistics and AstroInformatics Portal,

IMS - Institute for Mathematical Statistics,

xv

xvi

Participants

Participants

W a lt e r A le f, M a x P la n ck In s t . fo r R a d io A s t ro n o m y, G e rm a ny w a le f@ m p ifr-b o n n .m p g .d e J ova n A le k s i´c , A s t ro n o m ic a l O b s . o f B e lg ra d e , S e rb ia ja le k s ic @ a o b .rs R u p e rt A llis o n , P rin c e t o n U n iv ., U S A ra llis o n @ a s t .c a m .a c .u k Va le ria A m a r o , D e p t . o f P hy s ic s - U n iv . Fe d e ric o I I, N a p o li, It a ly a m a ro @ n a .in fn .it J i-H ye B a e k , K o re a A s t ro n o m y a n d S p a c e S c ie n c e In s t ., K o re a jhb a e k @ ka s i.re .k r A n e t a B a loya n , B y u ra ka n A s t ro p hy s ic a l O b s ., A rm e n ia a re g m ick @ ya h o o .c o m G ra h a m B a r n e s , N o rt h W e s t R e s e a rch A s s o c ia t e s , U S A g ra h a m @ nw ra .c o m J im B a r r e t t , U n iv . o f B irm in g h a m , U K jb a rre t t @ s t a r.s r.b h a m .a c .u k S u d h a n s hu B a r w ay , S o u t h A fric a n A s t ro n o m ic a l O b s . ( S A A O ) , S o u t h A fric a b a rw ay @ s a a o .a c .z a M ich a e l B ie h l, J . B e rn o u lli In s t ., U n iv . o f G ro n in g e n , N e t h e rla n d s m .b ie h l@ ru g .n l L u c a s A x e l B ig n o n e , IA F E ( U B A / C O N IC E T ) , A rg e nt in a lb ig n o n e @ g m a il.c o m S e rg i B la n c o -C u a r e s m a , O b s . o f G e n e va , S w it z e rla n d S e rg i.B la n c o @ u n ig e .ch D av id B o r n c a m p , S p a c e Te le s c o p e S c ie n c e In s t ., B a lt im o re , M a ry la n d , U S A d b o rn c a m p @ s t s c i.e d u O lg a B o ty g in a , A s t ro n o m ic a l O b s . o f t h e T . S h e vch e n ko N a t io n a l U n iv . o f K y iv , U k ra in e b o ty g in a 8 6 @ g m a il.c o m M a t t h e w B o u r q u e , S p a c e Te le s c o p e S c ie n c e In s t ., B a lt im o re , M a ry la n d , U S A b o u rq u e @ s t s c i.e d u C a rlo s H e n riq u e B r a n d t , L a S a p ie n z a U n iv . o f R o m e , It a ly c a rlo s .b ra n d t @ ic ra n e t .o rg M a a rt e n B r e d d e ls , U n iv . o f G ro n in g e n , T h e N e t h e rla n d s b re d d e ls @ a s t ro .ru g .n l M a s s im o B r e s c ia , IN A F - C a p o d im o nt e A s t ro n o m ic a l O b s ., It a ly b re s c ia @ n a .a s t ro .it Fe rn a n d o C a r o , O b s e rva t o ire d e P a ris - L e rm a , Fra n c e fe rn a n d o .c a ro @ o b s p m .fr S t e fa n o C av u o t i, D e p t . o f P hy s ic s - U n iv . Fe d e ric o I I, N a p o li, It a ly s t e fa n o .c av u o t i@ g m a il.c o m K e n n e t h C h a m b e r s , In s t . fo r A s t ro n o m y U n iv . o f H aw a ii, U S A ch a m b e rs @ ifa .h aw a ii.e d u S e o n g hw a n C h o i, K o re a A s t ro n o m y a n d S p a c e S c ie n c e In s t ., K o re a s h ch o i@ ka s i.re .k r D a n C r icht o n , N A S A J e t P ro p u ls io n L a b o ra t o ry, U S A d a n ie l.j.c richt o n @ jp l.n a s a .g ov C ris t in a D a lle O r e , U S R A - L u n a r a n d P la n e t a ry In s t ., U S A c ris t in a .m .d a lle o re @ n a s a .g ov P ila r d e Te o d o r o , E u ro p e a n S p a c e A g e n c y, S p a in p ila r.t e o d o ro @ e s a .int A n d rie D e Vr ie s , M ic ro s o ft C o rp o ra t io n , U S A a d e v rie s @ m ic ro s o ft .c o m A nt o n io D ’Is a nt o , H e id e lb e rg In s t . fo r T h e o re t ic a l S t u d ie s - H IT S , G e rm a ny a nt o n io .d is a nt o @ h -it s .o rg G e o rg e D jo r g ov s k i, C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A g e o rg e @ a s t ro .c a lt e ch .e d u S h e p D o e le m a n , M IT H ay s t a ck O b s ., U S A s d o e le m a n @ h ay s t a ck .m it .e d u Fu q in g D u a n , B e ijin g N o rm a l U n iv ., C h in a fq d u a n @ b nu .e d u .c n P ie rre D u b a t h , U n iv . o f G e n e va , S w it z e rla n d p ie rre .d u b a t h @ u n ig e .ch Fe lip e E lo r r ie t a , P o nt ifi c ia U n ive rs id a d C a t ´o lic a d e C h ile , C h ile fi e lo rrie t a @ m a t .p u c .c l P a b lo E s t e ve z , U n iv . o f C h ile & M ille n n iu m In s t . o f A s t ro p hy s ic s , C h ile p e s t e ve z @ c e c .u ch ile .c l S u s a n a E y h e r a m e n d y , P o nt ifi c ia U n ive rs id a d C a t o lic a d e C h ile , C h ile s u s a n a @ m a t .p u c .c l E le n a Fe d o r ova , N a t io n a l Ta ra s S h e vch e n ko U n iv . o f K ie v , A s t ro n o m ic a l O b s ., U k ra in e e fe d o rova @ u k r.n e t E ric Fe ig e ls o n , P e n n s y lva n ia S t a t e U n iv ., U S A e d f@ a s t ro .p s u .e d u Q i Fe n g , M c G ill U n iv ., C a n a d a q i.fe n g 2 @ m a il.m c g ill.c a Fra n c is c o Fo r s t e r B u r ´o n , U n iv . o f C h ile , C h ile fra n c is c o .fo rs t e r@ g m a il.c o m E m m a nu e l G a n g le r , L P C - U n ive rs it´e B la is e P a s c a l, Fra n c e g a n g le r@ c le rm o nt .in 2 p 3 .fr M a u ro G a r o fa lo , D IE T I, U n iv . Fe d e ric o I I, N a p o li, It a ly m a u ro .g a ro fa lo @ g m a il.c o m J o rg e E n riq u e G a r c ia Fa r ie t a , U n ive rs id a d N a c io n a l d e C o lo m b ia , C o lo m b ia jo e g a rc ia fa @ u n a l.e d u .c o Fa b io G a s t a ld e llo , IN A F IA S F M ila n , It a ly g a s t a @ ia s f-m ila n o .in a f.it P a n a g io t is G av r a s , IA A S A R S , N a t io n a l O b s . o f A t h e n s , G re e c e p g av ra s @ n o a .g r N iko s G ia n n io t is , H e id e lb e rg In s t . fo r T h e o re t ic a l S t u d ie s , G e rm a ny n iko s .g ia n n io t is @ h -it s .o rg C a rlo s A lb e rto G o m e z G o n z a le z , U n iv . o f L ie g e , B e lg iu m c g o m e z @ u lg .a c .b e A ly s s a G o o d m a n , H a rva rd -S m it h s o n ia n C FA , U S A a g o o d m a n @ c fa .h a rva rd .e d u M a t t h e w G r a h a m , C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A m jg @ c a lt e ch .e d u A n d re w G r e e n , A u s t ra lia n A s t ro n o m ic a l O b s ., A u s t ra lia a n d re w .g re e n @ a a o .g ov .a u S t e ve G r o o m , IPA C , C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A s g ro o m @ ip a c .c a lt e ch .e d u R u s t a m G u liye v , S h a m a k hy A s t ro p hy s ic a l O b s ., A z e rb a ija n ru s t a m d b @ g m a il.c o m P in g G u o , B e ijin g N o rm a l U n iv ., C h in a p g u o @ b nu .e d u .c n H a s it ie e r H a e r ke n , B e ijin g N o rm a l U n iv ., C h in a h a s t e a r@ 1 6 3 .c o m Yu a n H a ilo n g , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a y u a n h l@ b a o .a c .c n J e re m y H a r e , T h e G e o rg e W a s h in g t o n U n iv ., U S A je h 8 6 @ g w u .e d u S a ra H e a p , N A S A / G o d d a rd ( E m e rit u s S c ie nt is t ) , U S A s a ra .h e a p @ g m a il.c o m N in a H e r n it s ch e k , C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A h e rn it s ch e k @ m p ia .d e A lis h e r S . H o ja e v , U lu g h B e g A s t ro n o m ic a l In s t . o f U z b e k , U z b e k is t a n a s h @ a s t rin .u z M a o h a i H u a n g , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a m hu a n g @ n a o .c a s .c n P a b lo H u ijs e , U n iv . o f C h ile , C h ile p a b lo .hu ijs e @ g m a il.c o m E m ille Is h id a , L a b o ra t o ire d e p hy s iq u e d e C le rm o nt e m ille .is h id a @ c le rm o nt .in 2 p 3 .fr To m o a k y Is h iya m a , In s t . o f M a n a g e m e nt a n d In fo rm a t io n Te ch n o lo g ie s , is h iya m a @ ch ib a -u .jp

C h ib a U n iv ., J a p a n

Z e ljko Ive z ic , U n iv . o f W a s h in g t o n , U S A ive z ic @ a s t ro .w a s h in g t o n .e d u C o lin J a c o b s , S w inb u rn e U n iv . o f Te ch n o lo g y, A u s t ra lia c o lin ja c o b s @ s w in .e d u .a u D a rko J e v r e m ov ic , A s t ro n o m ic a l O b s . B e lg ra d e , S e rb ia d a rko @ a o b .rs A lin K a la m , V ie n n a U n iv ., A u s t ria in fo @ a lin ka la m .e u J e ff re y K e r n , N a t io n a l R a d io A s t ro n o m y O b s ., U S A jke rn @ n ra o .e d u S e rg ii K h la m ov , K h a rk iv N a t io n a l U n iv . o f R a d io e le c t o n ic s , U k ra in e s e rg ii.k h la m ov @ g m a il.c o m J o h a n K n a p e n , In s t it u t o d e A s t ro fi s ic a d e C a n a ria s , S p a in jh k @ ia c .e s S v it la n a K o lo m iye t s , K h a rk iv N a t io n a l U n iv . o f R a d io E le c t ro n ic s , U k ra in e s .ko lo m iye t s @ g m a il.c o m A s m it a K o r d e -P a t e l, N A S A / G o d d a rd S p a c e F lig ht C e nt e r, U S A a s m it a .a .ko rd e @ n a s a .g ov Irin a K ova le n ko , IM C C E / L E S IA P a ris O b s ., Fra n c e ikova le n ko @ im c c e .fr M ich a e l K u r t z , C FA H a rva rd , U S A k u rt z @ c fa .h a rva rd .e d u C h a n g hu a L i, N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a lich @ n a o .c a s .c n Z h o u L ix ia o , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a lx z h o u @ n a o .c a s .c n G iu s e p p e L o n g o , D e p t . o f P hy s ic s - U n iv . Fe d e ric o I I, N a p o li, It a ly lo n g o @ n a .in fn .it A n d re a L o n g o b a r d o , IN A F , IA P S , It a ly a n d re a .lo n g o b a rd o @ ia p s .in a f.it C o lin L o n s d a le , M IT H ay s t a ck O b s ., U S A c jl@ h ay s t a ck .m it .e d u S t e p h e n L u b ow , S p a c e Te le s c o p e S c ie n c e In s t ., U S A lu b ow @ s t s c i.e d u Ve s n a L u k ic , H a m b u rg e r S t e rnw a rt e , G e rm a ny ve s n a .lu k ic @ h s .u n i-h a m b u rg .d e A s h is h M a h a b a l, C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A a a m @ a s t ro .c a lt e ch .e d u A b h is h e k M a la li, H a rva rd U n iv ., U S A a b h is h e k m a la li@ g .h a rva rd .e d u J o s e p h M . M a z z a r e lla , C a lifo rn ia In s t . o f Te ch n o lo g y, P a s a d e n a C A , U S A m a z z @ ip a c .c a lt e ch .e d u E rz s´e b e t M e r´e n y i, R ic e U n iv ., H o u s t o n , T X , U S A e rz s e b e t @ ric e .e d u A re g M . M icka e lia n , B y u ra ka n A s t ro p hy s ic a l O b s ., A rm e n ia a re g m ick @ ya h o o .c o m S e rg io M o lin a r i, IN A F , IA P S , R o m e , It a ly m o lin a ri@ ia p s .in a f.it C h ris t ia n M u lle r , B e lg ia n U s e rs S u p p o rt a n d O p e ra t io n C e nt re , B e lg iu m ch ris t ia n .m u lle r@ b u s o c .b e F io n n M u r t a g h , U n iv . o f D e rby, a n d G o ld s m it h s U n iv . o f L o n d o n , U K fm u rt a g h @ a c m .o rg S a ra N ie t o R o d r ig u e z , E u ro p e a n S p a c e A g e n c y, S p a in s a ra .n ie t o @ e s a .int

Participants

xvii

A lfo n s o N o c e lla , IN A F - C a p o d im o nt e A s t ro n o m ic a l O b s ., It a ly n o c e lla @ n a .a s t ro .it R ay N o r r is , A u s t ra lia Te le s c o p e N a t io n a l Fa c ility, A u s t ra lia ray p n o rris @ g m a il.c o m M ich a e l O lb e r g , O n s a la S p a c e O b s . C h a lm e rs U n iv . o f Te ch n o lo g y, S w e d e n m ich a e l.o lb e rg @ ch a lm e rs .s e W ilfre d o P a lm a , P o nt ifi c ia U n ive rs id a d C a t o lic a d e C h ile , C h ile w ilfre d o .p a lm a @ g m a il.c o m V ic t o r P a n k r a t iu s , M IT H ay s t a ck , U S A p a n k ra t @ m it .e d u M a u riz io P a o lillo , D e p t . o f P hy s ic s - U n iv . Fe d e ric o I I, N a p o li, It a ly p a o lillo @ n a .in fn .it J o n g ye o b P a r k , K o re a A s t ro n o m y a n d S p a c e S c ie n c e In s t ., K o re a p a rk jy @ ka s i.re .k r R e y n ie r P e le t ie r , U n iv . o f G ro n in g e n , N e t h e rla n d s p e le t ie r@ a s t ro .ru g .n l M a u ra P ilia , IN A F - O A C a g lia ri, It a ly m a u ra .p ilia @ g m a il.c o m K a i P o ls t e r e r , H e id e lb e rg In s t . fo r T h e o re t ic a l S t u d ie s , G e rm a ny ka i.p o ls t e re r@ h -it s .o rg Troy P o r t e r , H a n s e n E x p e rim e nt a l P hy s ic s L a b ., S t a n fo rd U n iv ., U S A t p o rt e r@ s t a n fo rd .e d u P av lo s P r o t o p a p a s , H a rva rd U n iv ., U S A p av lo s @ s e a s .h a rva rd .e d u N ich o la s J a m e s R a t t e n b u r y , U n iv . o f A u ck la n d , N e w Z e la n d n .ra t t e nb u ry @ a u ck la n d .a c .n z G iu s e p p e R ic c io , IN A F - C a p o d im o nt e A s t ro n o m ic a l O b s ., It a ly ric c io @ n a .a s t ro .it L u c a R iz z i, K e ck O b s ., U S A lriz z i@ ke ck .h aw a ii.e d u T h o m a s R o b it a ille , Fre e la n c e t h o m a s .ro b it a ille @ g m a il.c o m H e lg e R o t t m a n n , M a x -P la n ck -In s t it u t f ¨u r R a d io a s t ro n o m ie , G e rm a ny ro t t m a n n @ m p ifr-b o n n .m p g .d e A n n a S c a ife , U n iv . o f M a n ch e s t e r, U K a n n a .s c a ife @ m a n ch e s t e r.a c .u k N ic o le S ch a n ch e , U n iv . o f S t A n d re w s , U K n ic o le .t h o m @ g m a il.c o m B e rn a rd S chu t z , C a rd iff U n iv ., U K b e rn a rd .s chu t z @ a e i.m p g .d e Fra n c e s c a S c ip io n i, U S R A - L u n a r a n d P la n e t a ry In s t ., U S A s c ip io n i@ lp i.u s ra .e d u K a z u h iro S e k ig u ch i, N a t io n a l A s t ro n . O b s . o f J a p a n , J a p a n ka z .s e k ig u ch i@ n a o .a c .jp E v g e n i S e m kov , In s t . o f A s t ro n o m y, S o fi a , B u lg a ria e s e m kov @ a s t ro .b a s .b g B rig it t a S ip o c z , U n iv . o f H e rt fo rd s h ire , U K b s ip o c z @ g m a il.c o m P e t r S ko d a , A s t ro n . In s t . o f t h e C z e ch A c a d . o f S c ie n c e s , C z e ch R e p u b lic s ko d a @ s u n s t e l.a s u .c a s .c z Y ih a n S o n g , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a y h s o n g @ b a o .a c .c n P e t e r S o r e n s e n , N O T - N o rd ic O p t ic a l Te le s c o p e , L a P a lm a , S p a in p m s @ n o t .ia c .e s V la d im ir S r e ckov ic , In s t . o f P hy s ic s , B e lg ra d e v la d a @ ip b .a c .rs R a ch e l S t r e e t , L C O G T , U K rs t re e t @ lc o g t .n e t A nt o n S t r ig a ch e v , In s t . o f A s t ro n o m y, S o fi a , B u lg a ria a nt o n @ a s t ro .b a s .b g M a ria S ¨u ve g e s , M a x -P la n ck -In s t . f ¨u r A s t ro n o m ie , H e id e lb e rg , G e rm a ny m a ria .s u ve g e s @ u n ig e .ch B ria n T h o r s b r o , L u n d U n iv ., S w e d e n b ria n @ t h o rs b ro .d k M a rt in To p in ka , In s t . fo r A d va n c e d S t u d ie s , D u b lin , Ire la n d m a rt in .t o p in ka @ g m a il.c o m A le s s io Tr o is , IN A F - O A C a g lia ri, It a ly a t ro is @ o a -c a g lia ri.in a f.it D ie g o Tu c c illo , G E P I - O b s e rva t o ire d e P a ris ; M IN E S P a ris Te ch , Fra n c e d ie g o .t u c c illo @ o b s p m .fr M a t t ia Va c c a r i, U n iv . o f W e s t e rn C a p e , S o u t h A fric a m a t t ia .va c c a ri@ g m a il.c o m E d w in A . Va le nt ijn , K a p t e y n In s t ., U n iv . o f G ro n in g e n , N e t h e rla n d s va le nty n @ a s t ro .ru g .n l T h ijs J .M . va n d e r H u ls t , K a p t e y n A s t ro n . In s t . U n iv . o f G ro n in g e n , N e t h e rla n d s v d hu ls t @ a s t ro .ru g .n l Iry n a Vav ilova , M a in A s t ro n . O b s . o f t h e N a t io n a l A c a d . o f S c ie n c e s , U k ra in e irivav @ m a o .k ie v .u a C iv it a Ve llu c c i, D IE T I, U n iv . Fe d e ric o I I, N a p o li, It a ly c iv it a .ve llu c c i@ g m a il.c o m D a ny Vo h l, S w inb u rn e U n iv . o f Te ch ., A u s t ra lia d vo h l@ s w in .e d u .a u Ve ljko Vu jc ic , A s t ro n o m ic a l O b s . B e lg ra d e , S e rb ia ve ljko @ a o b .rs B in g y i W a n g , B e ijin g N o rm a l U n iv ., C h in a 1 0 1 9 5 2 5 7 7 9 @ q q .c o m M e n g x in W a n g , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a b e aw m x @ 1 6 3 .c o m Yu e W u , N a t io n a l A s t ro n . O b s . o f C h in e s e A c a d . o f S c ie n c e s , C h in a w u y u e @ b a o .a c .c n Z h a n g Ya n x ia , N a t io n a l A s t ro n . O b s ., C h in e s e A c a d . o f S c ie n c e s , C h in a z y x @ b a o .a c .c n Ya ro s lav Ya t s k iv , M a in A s t ro n o m ic a l O b s . o f N A S U , U k ra in e ya t s k iv @ m a o .k ie v .u a J ia n n a n Z h a n g , N a t io n a l A s t ro n . O b s .,C h in e s e A c a d . o f S c ie n c e s , C h in a jn z h a n g @ b a o .a c .c n M o Z h a n g , N a t io n a l A s t ro n . O b s .,C h in e s e A c a d . o f S c ie n c e s , C h in a m z h a n g @ n a o .c a s .c n O lg a Z h e le n kova , S A O R A S , R u s s ia z h e @ s a o .ru S t a n is law Z o la , A s t ro n o m ic a l O b s ., J a g ie llo n ia n U n iv ., P o la n d s z o la @ o a .u j.e d u .p l