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Overview of the DESI Legacy Imaging Surveys

  • Authors: Arjun Dey, David J. Schlegel, Dustin Lang, Robert Blum, Kaylan Burleigh, Xiaohui Fan, Joseph R. Findlay, Doug Finkbeiner, David Herrera, Stéphanie Juneau, Martin Landriau, Michael Levi, Ian McGreer, Aaron Meisner, Adam D. Myers, John Moustakas, Peter Nugent, Anna Patej, Edward F. Schlafly, Alistair R. Walker, Francisco Valdes, Benjamin A. Weaver, Christophe Yèche, Hu Zou, Xu Zhou, Behzad Abareshi, T. M. C. Abbott, Bela Abolfathi, C. Aguilera, Shadab Alam, Lori Allen, A. Alvarez, James Annis, Behzad Ansarinejad, Marie Aubert, Jacqueline Beechert, Eric F. Bell, Segev Y. BenZvi, Florian Beutler, Richard M. Bielby, Adam S. Bolton, César Briceño, Elizabeth J. Buckley-Geer, Karen Butler, Annalisa Calamida, Raymond G. Carlberg, Paul Carter, Ricard Casas, Francisco J. Castander, Yumi Choi, Johan Comparat, Elena Cukanovaite, Timothée Delubac, Kaitlin DeVries, Sharmila Dey, Govinda Dhungana, Mark Dickinson, Zhejie Ding, John B. Donaldson, Yutong Duan, Christopher J. Duckworth, Sarah Eftekharzadeh, Daniel J. Eisenstein, Thomas Etourneau, Parker A. Fagrelius, Jay Farihi, Mike Fitzpatrick, Andreu Font-Ribera, Leah Fulmer, Boris T. Gänsicke, Enrique Gaztanaga, Koshy George, David W. Gerdes, Satya Gontcho A Gontcho, Claudio Gorgoni, Gregory Green, Julien Guy, Diane Harmer, M. Hernandez, Klaus Honscheid, Lijuan (Wendy) Huang, David James, Buell T. Jannuzi, Linhua Jiang, Richard Joyce, Armin Karcher, Sonia Karkar, Robert Kehoe, Jean-Paul, Kneib, Andrea Kueter-Young, Ting-Wen Lan, Tod Lauer, Laurent Le Guillou, Auguste Le Van Suu, Jae Hyeon Lee, Michael Lesser, Laurence Perreault Levasseur, Ting S. Li, Justin L. Mann, Bob Marshall, C. E. Martínez-Vázquez, Paul Martini, Hélion du Mas des Bourboux, Sean McManus, Tobias Gabriel Meier, Brice Ménard, Nigel Metcalfe, Andrea Muñoz-Gutiérrez, Joan Najita, Kevin Napier, Gautham Narayan, Jeffrey A. Newman, Jundan Nie, Brian Nord, Dara J. Norman, Knut A. G. Olsen, Anthony Paat, Nathalie Palanque-Delabrouille, Xiyan Peng, Claire L. Poppett, Megan R. Poremba, Abhishek Prakash, David Rabinowitz, Anand Raichoor, Mehdi Rezaie, A. N. Robertson, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Gregory Rudnick, Sasha Safonova, Abhijit Saha, F. Javier Sánchez, Elodie Savary, Heidi Schweiker, Adam Scott, Hee-Jong Seo, Huanyuan Shan, David R. Silva, Zachary Slepian, Christian Soto, David Sprayberry, Ryan Staten, Coley M. Stillman, Robert J. Stupak, David L. Summers, Suk Sien Tie, H. Tirado, Mariana Vargas-Magaña, A. Katherina Vivas, Risa H. Wechsler, Doug Williams, Jinyi Yang, Qian Yang, Tolga Yapici, Dennis Zaritsky, A. Zenteno, Kai Zhang, Tianmeng Zhang, Rongpu Zhou, and Zhimin Zhou

2019 The Astronomical Journal 157 168.

  • Provider: AAS Journals

Caption: Figure 8.

Forced photometry with The Tractor code, using information from Legacy Surveys detections and light profiles, allows us to measure the mid-infrared flux from objects in the WISE images to below the WISE detection limit. Left panel: a comparison of the W1 photometric measurements in the Legacy Survey catalog (derived using The Tractor) with those in the ALLWISE catalog; the gray scale shows the relative density of points. The photometry agrees well for mid-infrared bright objects that are detected in the AllWISE catalog. The widening locus below W1 ∼ 14 is due to The Tractor photometry treating larger objects as truly extended, in contrast to the point-source-only assumptions in the public AllWISE catalog. Right panel: the number counts in the Legacy Survey catalog compared with those from AllWISE, demonstrating the increased depth made possible from using The Tractor. By using optical imaging from Legacy Surveys to detect objects, photometry is measured for objects that are well below the detection limit of the AllWISE catalog.

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