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- W2922131808 abstract "ABSTRACT The tangential shear signal receives contributions from physical scales in the galaxy–matter correlation function well below the transverse scale at which it is measured. Since small scales are difficult to model, this non-locality has generally required stringent scale cuts or new statistics for cosmological analyses. Using the fact that uncertainty in these contributions corresponds to an uncertainty in the enclosed projected mass around the lens, we provide an analytic marginalization scheme to account for this. Our approach enables the inclusion of measurements on smaller scales without requiring numerical sampling over extra free parameters. We extend the analytic marginalization formalism to retain cosmographic (shear-ratio) information from small-scale measurements that would otherwise be removed due to modelling uncertainties, again without requiring the addition of extra sampling parameters. We test the methodology using simulated likelihood analysis of a Dark Energy Survey Year 5-like galaxy–galaxy lensing and galaxy clustering datavector. We demonstrate that we can remove parameter biases due to the presence of an unmodelled one-halo contamination of the galaxy–galaxy lensing signal, and use the shear-ratio information on small scales to improve cosmological parameter constraints." @default.
- W2922131808 created "2019-03-22" @default.
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- W2922131808 date "2019-10-12" @default.
- W2922131808 modified "2023-09-30" @default.
- W2922131808 title "Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing" @default.
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- W2922131808 cites W1965268251 @default.
- W2922131808 cites W1969895038 @default.
- W2922131808 cites W1977488561 @default.
- W2922131808 cites W1981877040 @default.
- W2922131808 cites W1988346893 @default.
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- W2922131808 cites W2398308633 @default.
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- W2922131808 doi "https://doi.org/10.1093/mnras/stz2761" @default.
- W2922131808 hasPublicationYear "2019" @default.
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