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First cut at strong lensing science requirements #54
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drphilmarshall committed Dec 3, 2015
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2 changes: 2 additions & 0 deletions doc/requirements/dc1.tex
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\newcommand{\docheader}{{DC1 Requirements}}
\newcommand{\Twinkles}{{\bf\texttt{Twinkles}}\xspace}
\newcommand{\TwinklesOne}{\hyperref[chp:twinkles1]{{\bf\texttt{Twinkles\,1}}}\xspace}
\newcommand{\CoaddSource}{\texttt{CoaddSource}}
\newcommand{\ForcedSource}{\texttt{ForcedSource}}

% ====================================================================

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2 changes: 1 addition & 1 deletion doc/requirements/twinkles1/main.tex
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% Planned science analysis developments that will drive the
% Twinkles 1 design, and subsequent requirements.
%\input{twinkles1/science}
\input{twinkles1/science}

% The design of the Twinkles 1 dataset, resulting from the science
% analyses defined in the previous section.
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24 changes: 22 additions & 2 deletions doc/requirements/twinkles1/motivation.tex
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Expand Up @@ -8,8 +8,28 @@ \section{Motivation}
\contact{Michael Wood-Vasey}{@wmwv},
\contact{Richard Dubois}{@richardxdubois}

% --------------------------------------------------------------------
Type Ia supernovae and time delay lenses share the property that their
light curves must be extracted with sufficient fidelity that time
domain model parameters (such as stretch and time delay) can be
inferred. Our ability to do cosmography using these objects depends on
our ability to make these measurements {\it accurately} given the LSST
data. In the next section we define a set of analyses that we need to do
as part of this accuracy demonstration program, and that can be done
in the 2016--2017 time frame using available simulation and analysis
technology and computing infrastructure.

Motivational text goes here.
A note on terminology: we refer to the process of light curve
extraction as ``Monitoring.'' Supernova light curve extraction will be
performed by a tool referred to as \SNMonitor, and strong lens light
curve extraction by a related piece of software called \SLMonitor.
For strong lenses, the key parameter to be inferred from a set of
light curves is the time delay, and so we refer to the software tool
that performs that inference as \SLTimer. Supernova light curve
parameters are typically inferred with tools known as
``light curve fitters,'' to be deployed by the code \SNDistance.

% A note here on what we are *not* trying to investigate?

% A note here on infrastructure build-up?

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126 changes: 126 additions & 0 deletions doc/requirements/twinkles1/science.tex
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% ====================================================================
\section{Science Analysis}
\def\secname{\chpname:science}
\label{\secname}
% ====================================================================

\contact{Phil Marshall}{@drphilmarshall},
\contact{Michael Wood-Vasey}{@wmwv},

Below we describe the supernova and strong lensing science analysis
that we want to do with the \TwinklesOne data. In each case we first
introducing the measurement issues we face, and then define the
investigations of them that we want to do. These then dictate the
requirements we have on the challenge dataset design.

% --------------------------------------------------------------------

\subsection{Supernovae}
\label{\secname:supernovae}

Introduction to supernova analysis in \TwinklesOne.

% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

\subsubsection{Light Curve Extraction Issues}
\label{\secname:supernovae:monitor}

Photometric calibration.

Forced photometry accuracy.

Host galaxy light contamination.


% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

\subsubsection{Distance Measurement Issues}
\label{\secname:supernovae:distance}

Host galaxy photometry and structure.

Photometric error accuracy.

% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

\subsubsection{Proposed Analyses}
\label{\secname:supernovae:analyses}


% --------------------------------------------------------------------

\subsection{Strong Lensing}
\label{\secname:stronglensing}

From the first Time Delay Challenge we know that around 400 lensed
quasars (defined here as the ``Gold Sample'') should be measurable
with cosmological accuracy with LSST, provided that a) 6 day cadence
can be achieved and b) the light curves extracted from the LSST images
are as clean as those in the challenge.

6-day cadence requires 5 filters to be used: TDC2 will test
assumption a) above, that a 5-6 filter light curve can be modeled as
accurately as a single filter light curve. The fidelity of the light
curves depends on our ability to extract them, and this requires image
simulations of very high realism to be analyzed with the tools of
sufficient sharpness.

In \TwinklesOne we will test assumption b), and assess the fidelity of
lensed quasar light curves as observed and measured with the LSST system.

% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

\subsubsection{Light Curve Extraction Issues}
\label{\secname:stronglensing:monitor}

Point image separation (deblending).

Photometric accuracy (forced photometry).

Lens and host galaxy light contamination.


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\subsubsection{Time Delay Measurement Issues}
\label{\secname:stronglensing:timedelay}

Correlated photometric error accuracy and mitigation.


% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

\subsubsection{Proposed Analyses}
\label{\secname:stronglensing:analyses}

We propose to answer the following questions:
\begin{itemize}
\item Was the quality of the DC1 Gold Sample photometry realistic?
\item How can we better model LSST lensed quasar photometry in future time delay challenges?
\end{itemize}

For this we will need the \TwinklesOne survey to have the following
properties:
\begin{itemize}
\item The field should contain a significant random fraction (at least
25\%, and preferably 100\%) of the TDC1 Gold Sample of 400 lensed
quasars, which should vary in the same way as the TDC1 objects (at
least with regard to their AGN variability, which domiates over
microlensing).
\item The survey should simulate 10 years of LSST observing in
wide-deep-fast strategy, with realistic observing conditions.
\item Images should be in either $r$ or $i$-band, as assumed in TDC1.
\item The survey can be single filter, but the mean night to night
cadence needs to be 6 days, to allow comparison with TDC1.
\end{itemize}

After light curve extraction we will then perform the following tests:
\begin{itemize}
\item The noise properties of the \TwinklesOne and TDC1 light curves
will be summarized and compared.
\item Time delays will be measured for each system using the fiducial
TDC1 algorithm, and the mean accuracy compared against that in TDC1.
\end{itemize}


% ====================================================================

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