CCAPP Seminar: "Cosmological constraints from galaxy clustering and weak lensing using Dark Energy Survey Year 1 data: Methodology and Validation" Niall MacCrann (OSU)

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June 27, 2017
11:30AM - 12:30PM
Location
PRB 4138

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Add to Calendar 2017-06-27 11:30:00 2017-06-27 12:30:00 CCAPP Seminar: "Cosmological constraints from galaxy clustering and weak lensing using Dark Energy Survey Year 1 data: Methodology and Validation" Niall MacCrann (OSU) I'll give an update on the key cosmological analysis of Dark Energy Survey Year 1 data, in which galaxy clustering and weak lensing information are combined to produce highly competitive cosmological constraints. As well as providing complementary cosmological information, this multi-probe analysis breaks degeneracies between systematics, such as galaxy intrinsic alignments, and cosmological parameters. After a brief introduction to the theory, I will discuss some of challenges we have faced in controlling systematics at the required level for this complex and high precision analysis. I will demonstrate the approach we have taken to ensuring the robustness of our results, including extensive validation on mock survey data. I will show forecasted and/or blinded cosmological parameter constraints. PRB 4138 Center for Cosmology and AstroParticle Physics (CCAPP) ccapp@osu.edu America/New_York public
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I'll give an update on the key cosmological analysis of Dark Energy Survey Year 1 data, in which galaxy clustering and weak lensing information are combined to produce highly competitive cosmological constraints. As well as providing complementary cosmological information, this multi-probe analysis breaks degeneracies between systematics, such as galaxy intrinsic alignments, and cosmological parameters. After a brief introduction to the theory, I will discuss some of challenges we have faced in controlling systematics at the required level for this complex and high precision analysis. I will demonstrate the approach we have taken to ensuring the robustness of our results, including extensive validation on mock survey data. I will show forecasted and/or blinded cosmological parameter constraints.

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