Optimizing New Dark Energy Experiments Page: 3 of 4
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analysis techniques, using the same survey data, are particularly effective at nulling systematic
error. Stage IV surveys like LSST are capable of probing many aspects of dark energy, beyond
the familiar 2-dimensional model popularized by the DETF. There are a wide variety of
possible dark energy dynamical scenarios which are not easily fit in such a 2-dimensional
model.
The following figure (a product of work done under this grant) shows the precision achievable
for measurement of both cosmic distances and growth of dark matter structure vs redshift when
combining LSST multiple probes with the CMB. Alternative theories of the physics of dark
energy, including modified gravity theories, predict significant deviations from standard model
cosmology behavior of distance vs redshift and growth of structure vs redshift. These theories
can then be confronted with the Stage IV experiment data, with a precision shown in the plot
below (Zhan et al. 2009).C
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0.0110-3
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RESEARCH PRODUCTS
The most significant products of this research have been algorithms for estimation of weak
gravitational lens shear, which correct in novel ways for the optical distortion of the atmosphere
and system optics. One of these, S tac kF i t, has been adopted by the LSST project as its main
engine for galaxy shape measurement. In addition to the publications below, several white
papers and reports to the NRC Decadal Survey were based on this work. Significant effort was
spent on validation, via simulations and via application to precursor data sets. Leveraging this
reduction in systematics, an additional key product has been a full analysis of the capability of
LSST for probing the physics of dark energy, as shown in the figure above.4
-' ' ' ' ' ' ' ' ' ' ' ' ' ' ' b '...
- LSST WL + BAO + Planck -
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_ O u(lnG1) O _
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With systematics -
I I I I I
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Tyson, J. Anthony. Optimizing New Dark Energy Experiments, report, August 26, 2013; United States. (https://digital.library.unt.edu/ark:/67531/metadc839904/m1/3/: accessed June 5, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.