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Resolving Star Formation on Sub-Kiloparsec Scales in the High-Redshift Galaxy SDP.11 Using Gravitational Lensing

ArXiv 1809.0963 (2018)

Authors:

C Lamarche, A Verma, A Vishwas, GJ Stacey, D Brisbin, C Ferkinhoff, T Nikola, SJU Higdon, J Higdon, M Tecza
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JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies: I. Survey overview and first results

(2018)

Authors:

Amelie Saintonge, Christine D Wilson, Ting Xiao, Lihwai Lin, Ho Seong Hwang, Tomoka Tosaki, Martin Bureau, Phillip J Cigan, Christopher JR Clark, David L Clements, Ilse De Looze, Thavisha Dharmawardena, Yang Gao, Walter K Gear, Joshua Greenslade, Isabella Lamperti, Jong Chul Lee, Cheng Li, Michal J Michalowski, Angus Mok, Hsi-An Pan, Anne E Sansom, Mark Sargent, Matthew WL Smith, Thomas Williams, Chentao Yang, Ming Zhu, Gioacchino Accurso, Pauline Barmby, Nathan Bourne, Elias Brinks, Toby Brown, Aeree Chung, Eun Jung Chung, Anna Cibinel, Kristen Coppin, Jonathan Davies, Timothy A Davis, Steve Eales, Lapo Fanciullo, Taotao Fang, Yu Gao, David HW Glass, Haley L Gomez, Thomas Greve, Jinhua He, Luis C Ho, Feng Huang, Hyunjin Jeong, Xuejian Jiang, Qian Jiao, Francisca Kemper, Ji Hoon Kim, Minjin Kim, Taehyun Kim, Jongwan Ko, Xu Kong, Kevin Lacaille, Cedric G Lacey, Bumhyun Lee, Joon Hyeop Lee, Wing-Kit Lee, Karen Masters, Se-Heon Oh, Padelis Papadopoulos, Changbom Park, Sung-Joon Park, Harriet Parsons, Kate Rowlands, Peter Scicluna, Jillian M Scudder, Ramya Sethuram, Stephen Serjeant, Yali Shao, Yun-Kyeong Sheen, Yong Shi, Hyunjin Shim, Connor MA Smith, Kristine Spekkens, An-Li Tsai, Sheona Urquhart, Aprajita Verma, Giulio Violino, Serena Viti, David Wake, Junfeng Wang, Jan Wouterloot, Yujin Yang, Kijeong Yim, Fangting Yuan, Zheng Zheng
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SHINING, A Survey of Far-infrared Lines in Nearby Galaxies. I. Survey Description, Observational Trends, and Line Diagnostics

ASTROPHYSICAL JOURNAL 861:2 (2018) ARTN 94

Authors:

R Herrera-Camus, E Sturm, J Gracia-Carpio, D Lutz, A Contursi, S Veilleux, J Fischer, E Gonzalez-Alfonso, A Poglitsch, L Tacconi, R Genzel, R Maiolino, A Sternberg, R Davies, A Verma
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SHINING, A Survey of Far-infrared Lines in Nearby Galaxies. II. Line-deficit Models, AGN Impact, [C II]-SFR Scaling Relations, and Mass-Metallicity Relation in (U)LIRGs

ASTROPHYSICAL JOURNAL 861:2 (2018) ARTN 95

Authors:

R Herrera-Camus, E Sturm, J Gracia-Carpio, D Lutz, A Contursi, S Veilleux, J Fischer, E Gonzalez-Alfonso, A Poglitsch, L Tacconi, R Genzel, R Maiolino, A Sternberg, R Davies, A Verma
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Time-lapse imagery and volunteer classifications from the Zooniverse Penguin Watch project.

Scientific data (2018)

Authors:

FM Jones, C Allen, C Arteta, J Arthur, C Black, LM Emmerson, R Freeman, G Hines, CJ Lintott, Z Macháčková, G Miller, R Simpson, C Southwell, HR Torsey, A Zisserman, Tom Hart

Abstract:

Automated time-lapse cameras can facilitate reliable and consistent monitoring of wild animal populations. In this report, data from 73,802 images taken by 15 different Penguin Watch cameras are presented, capturing the dynamics of penguin (Spheniscidae; Pygoscelis spp.) breeding colonies across the Antarctic Peninsula, South Shetland Islands and South Georgia (03/2012 to 01/2014). Citizen science provides a means by which large and otherwise intractable photographic data sets can be processed, and here we describe the methodology associated with the Zooniverse project Penguin Watch, and provide validation of the method. We present anonymised volunteer classifications for the 73,802 images, alongside the associated metadata (including date/time and temperature information). In addition to the benefits for ecological monitoring, such as easy detection of animal attendance patterns, this type of annotated time-lapse imagery can be employed as a training tool for machine learning algorithms to automate data extraction, and we encourage the use of this data set for computer vision development.
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