Eric Suchyta: Digging Deeper (and More Greedily) in Imaging Surveys
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Europe/Madrid
Seminar (IFAE)
Seminar
IFAE
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Description
Wide-field imaging surveys are at the forefront of modern astronomy research, collecting larger and larger samples to constrain the physical properties of our Universe. Fully utilizing the increased statistical precision of these surveys requires tight control of systematic errors, in low signal-to-noise regimes. I will present new methodology, including a simulation toolkit called Balrog, designed to help maximize scientific return in imaging surveys. I will present recent galaxy clustering results from the Dark Energy Survey (DES) using our methodology, demonstrating that the results are in excellent agreement with the best-available external cross-check. It is the first-ever measurement of this kind for the faintest galaxies in an imaging survey, offering the potential to more than double the available sample size, and accordingly improve constraints made by DES. We expect our general approach to be useful in many other contexts as well.
Participants
Antonio Pineda
Bruno Bourguille
Daniel Guberman
David Vázquez Furelos
Emanuele Cavallaro
Enrique Fernandez
Federico Sanchez
Giuliano Panico
Ignacio Sevilla
Imma Riu
Ivan Lopez Paz
Javier Rico
Jelena Aleksic
Joaquim Palacio Navarro
Joern Lange
John E Ward
José Ramón Espinosa
Judit Prat
Ke Yang
Kilian Nickel
Leyre Nogués
Lluïsa-Maria Mir
Machiel Kolstein
Manel Martinez
Marco Gatti
mariano quiros
Martine Bosman
Matteo Cavalli-Sforza
Moreno Daniel
Oscar Martinez
Paolo Cumani
pauline Vielzeuf
Ramon Miquel
Sebastian Grinstein
Stefania Bordoni
Thibaud Vantalon