fill in Section 2 for planning document

[katrinheitmann]

Summarize abstracts from Stony Brook meeting for DC2 science projects

[rmandelb]

Done in a flash. Closing #36.

[drphilmarshall]

Thanks, @rmandelb! I've pasted in Rachel's initial summary of abstracts below so we have it to hand (you can also see the DC2 planning document being developed on overleaf here . I'll issue Pierre with responding to the question about technical WGs' planned uses.

For each planned project, the brackets indicate whether the project will use the smaller-area image simulations [I], the larger-area extragalactic catalog [C], or both [C,I]:
\begin{itemize}
\item Galaxy clusters (CL):
\begin{enumerate}
\item [I] Studying how observational systematics affect the performance of cluster-finding algorithms.
\item [I] Testing the impact of blending and shear estimation biases on cluster mass reconstruction.
\item [C,I] Analyzing the images and snapshot data to understand the impact of observational systematics on cluster lensing profiles. 
\end{enumerate}
\item Large-scale structure (LSS):
\begin{enumerate}
\item [C] Investigating methods for optimally-selecting galaxies for large-scale structure analysis using photometric redshift posteriors, and the impact on cosmology constraints.
\item [C] Similar to the above, but considering selection based on colors/magnitudes, such as extreme emission line galaxy selection.
\item [C,I] Testing LSS analysis pipeline (including angular power spectrum estimation with mode projection for systematics) for selected galaxy subsamples.
\item [I] Measuring magnification bias in the presence of realistic systematics.
\item [I] Testing the impact of a selected set of theoretical and observational systematics on two-point clustering measurements.
\end{enumerate}
\item Photometric redshifts (PZ):
\begin{enumerate}
\item [C] Testing the impact of incompleteness in spectroscopic training samples on the quality of photometric redshift estimates, and the impact on various DESC science cases.
\item [C] Testing methods for inferring ensemble redshift distributions for photo-$z$-selected samples using cross-correlation analysis, including magnification and realistic nonlinear galaxy bias models.
\end{enumerate}
\item Strong lensing (SL):
\begin{enumerate}
\item [I] Extending an existing machine learning framework originally developed for galaxy-galaxy strong lenses to detect strongly lensed quasars, and test its effectiveness on image simulations.
\item [I] Investigating the prospect of measuring time delays using the shock breakout light curves of  high-redshift, strongly lensed core collapse supernovae from LSST.
\item [I] Evaluating supervised and unsupervised methods for double source-plane lens finding in wide-field optical imaging surveys, and forecasting their cosmological constraining power in LSST.
\end{enumerate}
\item Supernovae (SN):
\begin{enumerate}
\item [C] Optimizing the WFD observing strategy for recovery of Type Ia supernova light curves and ease of SN classification.
\item [I] Testing transient classification methods, including the impact of artifacts in the image processing.
\item [I] Testing the recovery of strongly-lensed supernovae and AGN (joint project with SL working group) and the ability to measure light curves in the presence of a foreground object, given realistic blending.
\end{enumerate}
\item Weak lensing (WL):
\begin{enumerate}
\item [I] Validating weak lensing shear two-point correlation measurements in the presence of realistic image-level systematics and survey masks.
\item [I,C] Testing the full end-to-end weak lensing cosmology inference pipeline, from images to cosmological parameters, including marginalization over both observational and theoretical systematics.
\item [I] Investigating the impact of realistic levels of blending on weak lensing galaxy samples selection and shear biases.
\item [I] Testing the effectiveness of PSF modeling routines, and the impact of residual systematics on weak lensing.
\item [C] Testing the hierarchical Bayesian mass reconstruction from tomographic weak lensing and galaxy clustering in LSST.
\item [C] Evaluating the impact of the ability to model over small-scale theoretical uncertainties (nonlinear bias, assembly bias, etc.) in the 3x2pt analysis, and push to smaller scales in the analysis.
\end{enumerate}
\end{itemize}

[dannygoldstein]

Two more for SL:

\item [C] Investigating the effect of the rolling cadence on the lensed supernova science case.
\item [I]  Full end-to-end cosmology forecast using strongly lensed supernovae from the ultraDDF.

[katrinheitmann]

Great, done!

On 11/21/17 5:05 PM, Danny Goldstein wrote:

Two more for SL:

\item [C] Investigating the effect of the rolling cadence on the lensed supernova science case. \item [I] Full end-to-end cosmology forecast using strongly lensed supernovae from the ultraDDF.

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