LATTE: Lightcurve Analysis Tool for Transiting Exoplanets

The Journal of Open Source Software The Open Journal 5:49 (2020) 2101

Authors:

Nora Eisner, Chris Lintott, Suzanne Aigrain

Survey of Gravitationally-lensed Objects in HSC Imaging (SuGOHI). VI. Crowdsourced lens finding with Space Warps

(2020)

Authors:

Alessandro Sonnenfeld, Aprajita Verma, Anupreeta More, Elisabeth Baeten, Christine Macmillan, Kenneth C Wong, James HH Chan, Anton T Jaelani, Chien-Hsiu Lee, Masamune Oguri, Cristian E Rusu, Marten Veldthuis, Laura Trouille, Philip J Marshall, Roger Hutchings, Campbell Allen, James O' Donnell, Claude Cornen, Christopher Davis, Adam McMaster, Chris Lintott, Grant Miller

Defining the Really Habitable Zone

(2020)

Authors:

Marven F Pedbost, Trillean Pomalgu, Chris Lintott, Nora Eisner, Belinda Nicholson

Processing citizen science- and machine-annotated time-lapse imagery for biologically meaningful metrics

Scientific Data Nature Research 7:1 (2020) 102

Authors:

Fiona M Jones, Carlos Arteta, Andrew Zisserman, Victor Lempitsky, Chris J Lintott, Tom Hart

Abstract:

Time-lapse cameras facilitate remote and high-resolution monitoring of wild animal and plant communities, but the image data produced require further processing to be useful. Here we publish pipelines to process raw time-lapse imagery, resulting in count data (number of penguins per image) and ‘nearest neighbour distance’ measurements. The latter provide useful summaries of colony spatial structure (which can indicate phenological stage) and can be used to detect movement – metrics which could be valuable for a number of different monitoring scenarios, including image capture during aerial surveys. We present two alternative pathways for producing counts: (1) via the Zooniverse citizen science project Penguin Watch and (2) via a computer vision algorithm (Pengbot), and share a comparison of citizen science-, machine learning-, and expert- derived counts. We provide example files for 14 Penguin Watch cameras, generated from 63,070 raw images annotated by 50,445 volunteers. We encourage the use of this large open-source dataset, and the associated processing methodologies, for both ecological studies and continued machine learning and computer vision development.

The rest-frame UV luminosity function at z≃4 : a significant contribution of AGN to the bright-end of the galaxy population

Monthly Notices of the Royal Astronomical Society Oxford University Press 494:2 (2020) 1771-1783

Authors:

Nathan Adams, Rebecca Bowler, Matthew Jarvis, Boris Haussler, Ross McLure, Andrew Bunker, James Dunlop, Aprajita Verma

Abstract:

We measure the rest-frame UV luminosity function (LF) at z ∼ 4 self-consistently over a wide range in absolute magnitude (−27 . MUV . −20). The LF is measured with 46,904 sources selected using a photometric redshift approach over ∼ 6 deg2 of the combined COSMOS and XMM-LSS fields. We simultaneously fit for both AGN and galaxy LFs using a combination of Schechter or Double Power Law (DPL) functions alongside a single power law for the faint-end slope of the AGN LF. We find a lack of evolution in the shape of the bright-end of the LBG component when compared to other studies at z ' 5 and evolutionary recipes for the UV LF. Regardless of whether the LBG LF is fit with a Schechter function or DPL, AGN are found to dominate at MUV < −23.5. We measure a steep faint-end slope of the AGN LF with αAGN = −2.09+0.35 −0.38 (−1.66+0.29 −0.58) when fit alongside a Schechter function (DPL) for the galaxies. Our results suggest that if AGN are morphologically selected it results in a bias to lower number densities. Only by considering the full galaxy population over the transition region from AGN to LBG domination can an accurate measurement of the total LF be attained.