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b/PSTN-056.tex @@ -1,4 +1,6 @@ -\documentclass[PST,authoryear,toc,lsstdraft]{lsstdoc} + + +\documentclass[PST,authoryear,toc, lsstdraft]{lsstdoc}%, lsstdraft] \input{meta} \defcitealias{PSTN-055}{PSTN-055} @@ -54,7 +56,7 @@ % \setDocCurator{The Curator of this Document} \setDocAbstract{% -We present the final planned comprehensive recommendation for Rubin Observatory the Legacy Survey of Space and Time (LSST) survey strategy: this recommendation is the product of a many-years-long iterative process where community recommendations to maximize the scientific impact of LSST across domains of astrophysics were reviewed, synthesized, aggregate, and merged to define the overall plan for 10 years of LSST observations. The current recommendation builds on Phase 1 \citep{PSTN-053} and Phase 2 recommendations \citep{PSTN-055} and, together, they define a 10-year plan for observing. Here we answer questions left open in \citetalias{PSTN-055}, refine additional survey details, and describe the scope of future activities of the SCOC. +We present the final planned comprehensive recommendation for Rubin Observatory the Legacy Survey of Space and Time (LSST) survey strategy ahead of the start of LSST: this recommendation is the product of a many-years-long iterative process where community recommendations to maximize the scientific impact of LSST across domains of astrophysics were reviewed, synthesized, aggregate, and merged to define the overall plan for 10 years of LSST observations. The current recommendation builds on Phase 1 \citep{PSTN-053} and Phase 2 recommendations \citep{PSTN-055} and, together, they define a 10-year plan for observing. Here we answer questions left open in \citetalias{PSTN-055}, refine additional survey details, and describe the scope of future activities of the SCOC. } % Change history defined here. @@ -78,10 +80,16 @@ %%%% THE SECTIONS %%%%%% \input{intro} +\clearpage \input{answers} +\clearpage \input{additional} +\clearpage \input{summaryrecommendation} -%\input{next} +\clearpage +\input{baseline4} +\clearpage +\input{next} %\input{process} diff --git a/additional.tex b/additional.tex index 23983fd..69a22fb 100644 --- a/additional.tex +++ b/additional.tex @@ -4,21 +4,59 @@ \section{Additional Recommendations}\label{sec:additional} \begin{figure} \centering \includegraphics[width=0.45\textwidth]{figures/baseline_v3_0_10yrs_euclid_overlap.png} -\begin{overpic}[width=0.45\textwidth]{figures/baseline_v3_6_10yrs_euclid_overlap.png} - \put(-15,40){\color{lsstblue}\huge DRAFT} - \end{overpic}%\includegraphics[width=0.45\textwidth]{figures/baseline_v3_6_10yrs_euclid_overlap.png} +\includegraphics[width=0.45\textwidth]{figures/baseline_v4_0_10yrs_euclid_overlap.png} %\includegraphics[width=0.45\textwidth]{figures/3.0_south.png}\includegraphics[width=0.45\textwidth]{figures/3.1_south.png} -\caption{Small changes to the southern portion of the footprint improve overlap with Euclid. \label{fig:euclid-overlap}} +\caption{Small changes to the southern portion of the footprint improve the overlap with Euclid. \label{fig:euclid-overlap}} \end{figure} -{\bf The airmass limits for the Near-Sun Twilight microsurvey, introduced with baseline v3.0, were increased from $X=2.5$ to $X=3.0$} in \texttt{v3.2}, corresponding to decreasing the minimum solar elongation reached for this microsurvey from 60 degrees to 45 degrees. This improves the likelihood of discovery of objects with interior-to-Earth orbits, increasing the survey sensitivity to this niche of discovery space. The recovered population of objects +{\bf The airmass limits for the Near-Sun Twilight microsurvey, introduced with baseline v3.0, were increased from $X=2.5$ to $X=3.0$} in \texttt{v3.2}, corresponding to decreasing the minimum solar elongation reached for this microsurvey from 40 degrees to 35 degrees (the range of solar elongations changed from 40 to 60 degrees in \texttt{v3.0} to 35 to 47 degrees in\texttt{v4.0}). This improves the likelihood of discovery of objects with interior-to-Earth orbits, increasing the survey sensitivity to this niche of discovery space. The recovered population of objects interior to Venus at magnitude $H\leq20$ goes from $\sim4\%$ to $\sim40\%$ in \texttt{v3.2} and later. The impacts outside the microsurvey are negligible. -\section{Additional changes introduced in \texttt{v3.6} \opsim s }\label{sec:opsimchanges} -Starting with \texttt{v3.6} some important assumptions underlying the simulations were updated: +\clearpage + +\section{Additional changes introduced throughout the \texttt{v3.x} \opsim s } \label{sec:opsimchanges} + +%Starting with \texttt{v3.6} some important assumptions underlying the simulations were updated: + \begin{itemize} -\item Increased downtime in Y1 to reflect a more realistic transition into operations. The downtime in Y1 is simulated to be maximal early on and decreased to the level expected for the general LSST survey by the end of the first year. -\item The effect of jerk on slew time is now included in the simulations, and thus included in scheduling choices. Functionally, this slightly increases the overhead and decreases survey efficiency. +\item As of \baseline{3.6}, the downtime in year one was increased to reflect a more realistic transition into operations. This change adds approximately eight weeks of downtime reducing the number of visits by $\sim$5\%. The downtime in Y1 is simulated to be maximal early on and decreased to the level expected for the general LSST survey by the end of the first year (\autoref{fig:downtime}). Future simulations will aim to improve the unscheduled downtime model to better align with expectations from the Rubin Observatory Operations team. + +\item As of \baseline{3.6}, the effect of jerk on slew time is included in the simulations, and thus included in scheduling choices. Functionally, this slightly increases the overhead and decreases survey efficiency (\autoref{fig:downtime}). + +\begin{figure}[!h] + \centering + \includegraphics[height=0.33\linewidth]{figures/downtime_v3_5_year1.png} + \includegraphics[height=0.32\linewidth]{figures/downtime_v4_0_year1.png} + \caption{The time within each night of LSST in Y1 divided into on-sky exposure time, overhead for those exposures (shutter and readout time), time spent slewing, and downtime due to weather, scheduled maintenance activities, or unscheduled engineering. Before \baseline{3.6} (left plot), simulations only included steady-state expected engineering downtime, modeled as full-night downtime blocks. The \baseline{4.0} simulation (right plot) includes additional unscheduled downtime time within the first 380 nights of the survey, including breaks as short as an hour to reflect the need for engineering early in the survey. } + \label{fig:downtime} +\end{figure} + + +\item The baseline simulations that accompanied the previous SCOC report (\citetalias{PSTN-055}) had a start time of October 1, 2023. As of \baseline{3.2}, the start date of the survey was updated to May 1, 2025 to match the Project forecast at that time. %The \baseline{4.0} also has a start date of May 1, 2025. +Future simulations will be updated to match the LSST forecasts.\footnote{\url{ls.st/dates}}. In \texttt{v3.4} we began investigating the effect of changing the start date of the survey. The timing of the start of the survey has an impact on various transient and variable metrics; the performance changes observed in \autoref{fig:start_dates} are primarily random in nature and generally reflect stochasticity in the metrics themselves, but may also be a result of the interplay between observable sky, rolling schedule, and seasonal weather patterns. The effects are generally comparable with uncertainty associated with weather, as \autoref{fig:startdates_weather} shows. \end{itemize} +%\begin{figure} +% \centering + %\includegraphics[width=0.75\linewidth]{figures/baseline_v4_0_10yrs_Hourglass_year_0-1_HOUR_Hourglass.pdf} + % \caption{This plot shows filter changes per observing night. Downtime (due to weather or telescope scheduled and unscheduled maintenance) is marked by white blocks. Simulations starting with \baseline{3.6} include updated Y1 downtime schedules to reflect realistic expectations of higher downtime periods at the start of the survey. Compared to \baseline{3.5}, \baseline{3.6} and later have approximately eight additional weeks of unscheduled downtime. The impact of the additional downtime is discussed in \autoref{sec:summary}.} +% \label{fig:enter-label} +%\end{figure} + + +\begin{figure} + \centering + \includegraphics[width=0.9\linewidth]{figures/start_date_scoc_heatmap.png} + \caption{Performance of a subset of key metrics for implementations of \baseline{3.4} with different start dates, offset by ``offset'' days from the May 1, 2025. Seasonal weather patterns interact with scheduler choices and the timing of rolling. Static science metrics are generally unchanged or only marginally affected, while transient and variable science sees larger impacts. } + \label{fig:start_dates} +\end{figure} + + +\begin{figure} + \centering + \includegraphics[width=0.95\linewidth]{figures/uncertainties_v3.4.png} + \caption{With each baseline, we produce a series of simulations with varying start dates and weather patterns. The uncertainty in metric values associated with variations in weather-related downtime is similar to the uncertainty observed changing the start date of the survey, demonstrating that the effect of start date changes are dominated by weather-related effects.} + \label{fig:startdates_weather} +\end{figure} +\clearpage \ No newline at end of file diff --git a/answers.tex b/answers.tex index 6607bfb..2eb1f5c 100644 --- a/answers.tex +++ b/answers.tex @@ -6,25 +6,23 @@ \section{Resolution of recommendations left incomplete in PSTN-055} \label{sec:o \subsection{Swapping filters on the filter wheel}\label{sec:filterswap} The filter system at Rubin allows five of the six filters ($u$, $g$, $r$, $i$, $z$, and $y$) to be mounted at the same time on the carousel. %Filters at the edge of the system transmission will be swapped in and out of the filter wheel throughout the lunar cycle. -Filters will be swapped in and out of the filter wheel based on sky brightness due to lunar phase. -In \citetalias{PSTN-055} Section 4 the SCOC recommended further investigation of which filters to swap: -\begin{quote}{[\citetalias{PSTN-055}] ``The SCOC recommends that the investigation of the filter swapping schemes on the filter wheel continue. After the November 2022 SCOC workshop, a few experiments in swapping $u$, $z$, and $y$ instead of $u$ and $z$ were implemented in \texttt{v2.99} simulations. More work is needed to understand the impacts of this decision on the DDFs as well as on the WFD. Filter pairing prescriptions for the observation pairs should also be explored in some more depth.''} +Filters will be swapped in and out of the filter wheel based on sky brightness due to the lunar phase. +In \citetalias{PSTN-055} \S4, the SCOC recommended further investigation of which filters to swap: +\begin{quote} + {[\citetalias{PSTN-055} \S4] ``The SCOC recommends that the investigation of the filter swapping schemes on the filter wheel continue. After the November 2022 SCOC workshop, a few experiments in swapping $u$, $z$, and $y$ instead of $u$ and $z$ were implemented in \texttt{v2.99} simulations. More work is needed to understand the impacts of this decision on the DDFs as well as on the WFD. Filter pairing prescriptions for the observation pairs should also be explored in some more depth.''} \end{quote} - Simulations prior to \texttt{v3.0} swapped the $z$ with $u$ based on lunation, as scattered moonlight is blue and impacts observations in $u$-band most significantly. Simulations tagged \texttt{v3.2} experimented with swapping $u$ with $z$ or $y$, including putting all of $u$, $z$, and $y$ on rotation. Increasing the availability of $z$ on the filter wheel produced significant improvements in supernova (SN) cosmology, especially in the Deep Drilling Fields (DDFs), while swapping two filters, instead of three, improves coverage at short time scales in filters through $z$ (see \autoref{fig:swapping}). Keeping the $g$, $r$, $i$, and $z$ filters in the camera at all times also eliminates the likelihood of damaging these critical filters during filter swaps. + Simulations prior to \texttt{v3.0} swapped the $z$ with $u$ based on lunation, as scattered moonlight is blue and impacts observations in $u$-band most significantly. Simulations tagged \texttt{v3.2} experimented with swapping $u$ with $z$ or $y$, including putting all of $u$, $z$, and $y$ on rotation. Swapping a filter has two effects: it adds a gap for the period while it is unavailable, and it increases the cadence in that bandpass during the time it is mounted to achieve the final desired number of observations. Increasing the availability of $z$ on the filter wheel produced significant improvements in supernova (SN) cosmology, especially in the Deep Drilling Fields (DDFs), while swapping two filters instead of three improves coverage at short time scales in filters through $z$ with significant benefits for the study of rapid-evolving transients (\eg\ Kilonovae, KN, see \autoref{fig:swapping}). Keeping the $g$, $r$, $i$, and $z$ filters in the camera at all times also reduces the risk of damaging these critical filters during filter swaps. {\bf The SCOC recommends swapping $u$- and $y$-band according to the moon phase. Having the $z$ filter always available produces benefits for SN cosmology while preserving coverage on short timescales. This recommendation is implemented starting in \baseline{3.2}}. \begin{figure} \centering - \begin{overpic}[width=0.8\textwidth]{figures/filter_swap_KNe.png} - \put(40,30){\color{lsstblue}\huge DRAFT} - \end{overpic} %\includegraphics[width=0.5\textwidth]{figures/filter_swap_linear.png} -%\includegraphics[width=0.75\textwidth]{figures/filter_swap_KNe.png} +\includegraphics[width=0.9\textwidth]{figures/filter_swap_KNe.png} %\includegraphics[width=0.45\textwidth]{figures/filter_swap_SNIa.png} -\caption{Swapping a filter out of the camera has two effects: it adds a gap for the period of time while it is unavailable, and it increases the cadence in that bandpass during the time it is in the camera. Gaps in $z$-band are particularly problematic for high-redshift SNIa detections, an effect which is magnified in the Deep Drilling Fields. %Increases in $z$ band cadence can be beneficial for KNe detection, if repeated observations in the same filter within a rapid timeframe is the criteria. -Swapping three filters ($u$ with alternating $z$ and $y$) increases the length of time gaps between sampling in the same filter, decreasing performance for hours-days transients. +\caption{The impact of swapping different filters on the Rubin system filter wheel according to lunation on time-domain metrics. The reference \opsim\ swaps the $u$ with the $y$ filter, as per the current SCOC recommendation (blue). The performance for \opsim s swapping $u$ with $z$ is shown in orange, and $u$ with $z$ {\it and} $y$ in alternation is shown in green. Gaps in $z$-band are particularly problematic for high-redshift SNIa detections, an effect that is magnified in the Deep Drilling Fields. %Increases in $z$ band cadence can be beneficial for KNe detection, if repeated observations in the same filter within a rapid timeframe is the criteria. +Swapping three filters ($u$ with alternating $z$ and $y$) increases the length of time gaps between sampling in the same filter, decreasing performance for hour- to day-time scales transients. Swapping $u$ with $y$ while leaving $z$ mounted on the filter wheel has an overall positive science impact, balancing the needs of rapid transient science with SNIa science in the Deep Drilling Fields. } \label{fig:swapping} \end{figure} @@ -33,13 +31,14 @@ \subsection{Swapping filters on the filter wheel}\label{sec:filterswap} \subsection{Filter Balance}\label{sec:filterbalance} In \citetalias{PSTN-055}, the SCOC confirmed the recommendation on the filter balance as implemented starting in \baseline{2.0} but left the possibility that: - \begin{quote}[\citetalias{PSTN-055}] ``While the SCOC recommends the filter balance as implemented starting in \baseline{2.0} should not be changed, it is possible that rebalancing the -exposure time to compensate for performance and throughput in some filters as compared to others or shortening exposures in filters where the throughput exceeds expectations enabling the collection of more images in that filter (or overall) would lead to -enhanced LSST science. The SCOC cannot finalize this recommendation at this time due to -missing information about the characteristics of the system-as-built.'' + \begin{quote} + {[\citetalias{PSTN-055} \S4] ``While the SCOC recommends the filter balance as implemented starting in \baseline{2.0} should not be changed, it is possible that rebalancing the exposure time to compensate for performance and throughput in some filters as compared to others or shortening exposures in filters where the throughput exceeds expectations enabling the collection of more images in that filter (or overall) would lead to enhanced LSST science. The SCOC cannot finalize this recommendation at this time due to missing information about the characteristics of the system-as-built.''} \end{quote} -Simulations of the survey strategy up to and including \baseline{3.2} use throughput curves assuming mirror coating as Al-Ag-Al respectively for M1-M2-M3. The plan to coat the mirrors was updated in 2023 to Ag-Ag-Ag (or 3xAg), which leads to a $\sim15-20\%$ increase in survey efficiency compared to Al-Ag-Al by increasing throughput in all bands redder than $u$, and bringing throughput closer to the design goals as stated in \citetalias{LPM-17}.\footnote{\url{https://community.lsst.org/t/rubin-sim-v1-3-released/7937} and \url{https://github.com/lsst-pst/syseng_throughputs/blob/main/notebooks/SilverVsAluminum.ipynb}.} \autoref{tab:dm5Agx3} shows the magnitude limit changes associated with the two different coatings for both detector types in the camera. 3xAg coating increases sensitivity in all LSST bands from $g$ to $y$, but it decreases the throughput in $u$. As of \baseline{3.3}, all \opsim\ simulations include the updated expected throughput. +Simulations of the survey strategy up to and including \baseline{3.2} use throughput curves assuming mirror coating as Al-Ag-Al respectively for M1-M2-M3. The plan to coat the mirrors was updated in 2023 to Ag-Ag-Ag (or 3xAg), which leads to a $\sim$15-20\% increase in survey efficiency compared to Al-Ag-Al by increasing throughput in all bands redder than $u$, and bringing throughput closer to the design goals as stated in \citetalias{LPM-17}.\footnote{\url{https://community.lsst.org/t/rubin-sim-v1-3-released/7937} and \url{https://github.com/lsst-pst/syseng_throughputs/blob/main/notebooks/SilverVsAluminum.ipynb}.} \autoref{tab:dm5Agx3} shows the magnitude limit changes associated with the two different coatings for both detector types in the camera. Ag-Ag-Ag coating increases sensitivity in all LSST bands from $g$ to $y$, but it decreases the throughput in $u$. As of \baseline{3.3}, all \opsim\ simulations include the Ag-Ag-Ag expected throughput. + +The SCOC reviewed the largely positive impact of the new throughput on science cases: nearly all MAFs responded positively to the increase in survey depth (see \autoref{fig:heatmap} and note the significant improvements between \baseline{3.2} and \baseline{3.3} when the new filter transmission curves were introduced). Some system metrics corresponding to \citetalias{LPM-17} requirements show improvements as large as 10\% (\eg\ Parallax uncertainty, see \autoref{fig:parallax}) and some time domain metrics improve by $\sim$20\% (Kilonovae and SN Ia metrics, see \autoref{fig:heatmap}). +\clearpage \begin{longtable}{lccccc} \\\hline @@ -51,90 +50,80 @@ \subsection{Filter Balance}\label{sec:filterbalance} $i$ & 0.0 & $-$0.02 & $\qquad$ & $+$0.13 & $+$0.12\\ $z$ & 0.0 & $+$0.01 & $\qquad$ & $+$0.15 & $+$0.15\\ $y$ & 0.0 & $+$0.03 & $\qquad$ & $+$0.07 & $+$0.10\\ -\caption{Magnitude limit change, compared to expected magnitude limit with E2V chips coated with Al-Ag-Al. Note: values are reported for chips acquired by two different detector vendors as E2V and ITL for both coating schemes. Positive values indicate deeper limiting magnitudes. -}\label{tab:dm5Agx3} +\caption{\small{Magnitude limit changes for camera chips acquired from different vendors (E2V and ITL) and different mirror coating choices (Al-Ag-Al and Ag-Ag-Ag). The reference is E2V chips coated with Al-Ag-Al (first column). Positive values indicate deeper limiting magnitudes. +}}\label{tab:dm5Agx3} \end{longtable} -\begin{figure} - \centering - \begin{overpic}[width=0.8\textwidth]{figures/parallax.png} - \put(50,30){\color{lsstblue}\huge DRAFT} - \end{overpic} - %\includegraphics[width=0.8\textwidth]{figures/parallax.png} -\caption{Gains in the metric tracking LSST's median parallax uncertainty at magnitude $r=24$, a standard metric that measures a LSST \citetalias{LPM-17} system requirement for different $\mathrm{baseline}$ \opsim s, from \baseline{1.x} through \baseline{3.3}, the first simulation with updated system throughput reflectivity from the 3xAg mirror coating. The improvements in parallax uncertainty between $v3.2$ and $v3.3$ \opsim\ come from the change in throughput and added depth in all bands bluer than $u$. Similar improvements are seen in proper motion uncertainty.} +\begin{figure}[!h] + \centering \includegraphics[width=0.75\textwidth]{figures/parallax.png} +\caption{Gains in the metric tracking LSST's median parallax uncertainty (milliarcseconds) at magnitude $r=24$, an LSST \citetalias{LPM-17} system requirement, for different $\texttt{baseline}$ \opsim s, from \baseline{1.x} through \baseline{3.3}, the first simulation with updated system throughput reflectivity from the Ag-Ag-Ag mirror coating. The improvements in parallax uncertainty between the \baseline{3.2} and \baseline{3.3} \opsim\ come from the increased depth in all bands bluer than $u$. Similar improvements are seen in proper motion uncertainty, also a quantity under \citetalias{LPM-17} requirements. Uncertainties reflect the impact of weather.} \label{fig:parallax} \end{figure} -The SCOC reviewed the largely positive impact of the new throughput on science cases: nearly all MAFs responded positively to the increase in survey depth with some metrics showing improvements as large as 10\% (\eg\ Parallax uncertainty, see \autoref{fig:parallax} and some time domain metrics improving by $\sim20\%$ (Kilonovae and SN Ia metric, see also \autoref{fig:heatmap} and note the significant improvements between \baseline{3.2} and \baseline{3.3} when the new filter transmission curves were introduced). -However, the SCOC understands that the throughput loss in $u$-band ($\sim30\%$ loss in coadded depth) would negatively impact science cases including Photo-z, studies of the Milky Way halo, Lyman Break Galaxies (LBGs, identified as $u$-band dropouts at redshift $z\sim3$), and more. While the overwhelming majority of the MAF metrics available to the SCOC responded positively to the updated throughput, we are aware, as always, that these may not provide an exhaustive picture of the science outcomes. Therefore, guided by experts in the community, we explored ways to reduce the $u$ band magnitude decrease while preserving the benefit of increased throughput in redder bands. -We tracked the performance of Photo-z, as characterized in \citealt{Graham_2017}, by assessing the variance and bias in \pz\ at redshifts $z\lesssim{3}$ (\autoref{fig:pz}). \pz\ is sensitive to $u$ band depth at redshift $z\geq 2$ due to decreased power to identify Lyman break galaxies photometrically. We expect that recovering \pz\ performance is a good indicator of recovering performance for other science cases sensitive to $u$ band depth for which we do not have detailed metrics. \pz\ performance, along with a large set of MAFs, were run against a set of \opsim s that progressively changed the exposure time and the number of exposures in $u$-band (see \autoref{fig:uband})\footnote{\url{https://community.lsst.org/t/release-of-v3-4-simulations/8548}}. + +However, the SCOC understands that the throughput loss in $u$-band ($\sim$30\% loss in coadded depth) would negatively impact science cases, including Photo-z, studies of the Milky Way halo, and Lyman Break Galaxies (LBGs, identified as $u$-band dropouts at redshift $z\sim3$). While the overwhelming majority of the MAF metrics available to the SCOC responded positively to the updated throughput, we are aware, as always, that these may not provide an exhaustive picture of the science outcomes. Therefore, guided by experts in the community, we explored ways to reduce the $u$ band magnitude decrease while preserving the benefit of increased throughput in redder bands. +We tracked the performance of Photo-z, as characterized in \citealt{Graham_2017}, by assessing the variance and bias in \pz\ at redshifts $z\lesssim{3}$ (\autoref{fig:pz}). \pz\ is sensitive to $u$ band depth at redshift $z\geq 2$ due to decreased power to identify Lyman break galaxies photometrically. We expect that recovering \pz\ performance is a good indicator of recovering performance for other science cases sensitive to $u$ band depth for which we do not have detailed metrics. \pz\ performance, along with a large set of MAFs, was run against a set of \opsim s that progressively changed the exposure time and the number of exposures in $u$-band (see \autoref{fig:uband})\footnote{\url{https://community.lsst.org/t/release-of-v3-4-simulations/8548}}. {\bf The SCOC recommends:} \begin{itemize} \item {\bf an increase of the exposure time in $u$-band to 38 seconds per visit} \item {\bf an increase of the number of $u$-band visits of 10\% compared to \baseline{3.0}} -\item {\bf an identical decrease of 0.8 second exposure time per visit in all other bands to compensate for the added time in $u$-band.} +\item {\bf an identical decrease of 0.8 second in exposure time per visit in all other bands to compensate for the added time in $u$-band.} \end{itemize} -This roughly restores the $u$ band depth of LSST in \baseline{3.0} with minimal impact on LSST science metrics. As a science case that is representative of those sensitive to $u$-band depth, these changes recover performance on \pz\ at redshift $z\sim2$, where the impact of the $u$-band throughput loss was most significant while maintaining the performance improvement on \pz\ at low redshift afforded by the increased depth of LSST in all other bands. Furthermore, these changes minimally impact other science cases tracked by MAFs. +This roughly restores the $u$ band depth of LSST in \baseline{3.0} with minimal impact on LSST science metrics. As a science case that is representative of those sensitive to $u$-band depth, these changes recover performance on \pz\ at redshift $z\sim2$, where the impact of the $u$-band throughput loss was most significant, while maintaining the performance improvement on \pz\ at low redshift afforded by the increased depth of LSST in all other bands. Furthermore, these changes minimally impact other science cases tracked by MAFs. -Because more science cases generally respond better to increasing the number of images, over increasing the exposure time to achieve the same depth, the added $u$-band time should be obtained by decreasing (minimally) the exposure time in other bands, rather than decreasing the number of images. +Because more science cases generally respond better to increasing the number of images, over increasing the exposure time to achieve the same depth, the added $u$-band time should be obtained by decreasing (minimally) the exposure time in other bands rather than decreasing the number of images. \textbf{ We note that this recommendation is subject to ongoing feasibility studies by the Rubin Data Management team.} \begin{figure} \centering - \begin{overpic}[width=0.8\textwidth]{figures/photo-z.png} - \put(50,30){\color{lsstblue}\huge DRAFT} - \end{overpic} -%\includegraphics[height=0.30\textwidth]{figures/photo-z.png} + \includegraphics[height=0.6\textwidth]{figures/photo-z.png} -\caption{Effect of changes of $u$-band 10-year depth on \pz\ Roubst Standard deviation as a function of redshift $z$ as measured in \cite{Graham_2017}. The dashed line represents the \citetalias{LPM-17} requirements on \pz. The black solid curve is the \baseline{3.2}, the latest baseline before the filter transmission curves were updated in the Rubin simulation system, the colored curves represent the \pz\ Robust Standard Deviation varying $u$-band exposure time between $30\leq u_{expt} \leq45$~seconds and number of exposures in $u$ band between $1.0\times ns \leq N_u \leq 1.1\times ns$ where $ns$ is the number of $u$-band exposures in \baseline{3.2}. Note that, with the caveat that sampling uncertainties are large at $z>1.5$, with the 3xAg transmission curves we note an improvement in \pz\ at low $z$ associated with increased depth in bands redder than $u$, but a degradation at $z>1.5$. The current filter balance recommendation (closely reflected by the red line in this plot) more than recovers performance at high $z$ while preserving the low $z$ gains. A similar impact is seen in \pz\ bias.} +\caption{The effect of changes in $u$-band 10-year depth on \pz\ Robust Standard deviation as a function of redshift $z$, as measured in \cite{Graham_2017}. The dashed line represents the \citetalias{LPM-17} requirements on \pz. The black solid curve is the \baseline{3.2}, the latest baseline before the filter transmission curves were updated in the Rubin simulation system, the colored curves represent the \pz\ Robust Standard Deviation varying the $u$-band exposure time between $30\leq u_{expt} \leq45$~seconds and the number of exposures in $u$ band between $1.0\times ns \leq N_u \leq 1.1\times ns$, where $ns$ is the number of $u$-band exposures in \baseline{3.2}. Note that, with the caveat that sampling uncertainties are large at $z>1.5$, with the Ag-Ag-Ag transmission curves we note an improvement in \pz\ at low $z$ associated with increased depth in bands redder than $u$, but a degradation at $z>1.5$. The current filter balance recommendation (closely reflected by the red line in this plot) more than recovers performance at high $z$ while preserving the low $z$ gains. A similar impact is seen in \pz\ bias.} \label{fig:pz} \end{figure} \begin{figure} \centering - \begin{overpic}[width=0.8\textwidth]{figures/u_band_scoc_heatmap.png} - \put(50,30){\color{lsstblue}\huge DRAFT} - \end{overpic} -%\includegraphics[width=0.7\textwidth]{figures/u_band_scoc_heatmap.png} -\caption{ A standard set of science and system MAFs metrics as a function of changing exposure time ($27\leq u_{expt}\leq 45$ seconds) and fraction of exposures in $u$ band ($0.9\times ns\leq N_u \leq1.2\times ns$). The metrics are normalized with respect to a simulation with $u_{expt}$= 30 seconds and $N_u = 1.0\times ns$. Three additional columns on the left show: \texttt{v\_3.2} (\baseline{3.2}, pre-filter-throughput update, notably generally worse) and \texttt{v3.3} (\baseline{3.3}, which follows the same observing strategy as to \baseline{3.2} but includes throughput updates) and $u~38s~1*$ where the exposure time of all other bands is adjusted to compensate for extra time spent in $u$ (whereas in all other simulations shown in this plot the exposure time is kept at 30 seconds). The SCOC indeed recommends an adjustment of the exposure in all bands (29.2 seconds instead of 30 seconds) and this is implemented in all simulations starting with \texttt{v3.5}.} + \includegraphics[width=0.95\textwidth]{figures/u_band_scoc_heatmap.png} +\caption{ A standard set of science and system MAFs metrics as a function of changing the exposure time ($27\leq u_{expt}\leq 45$ seconds) and the fraction of exposures in the $u-$band ($0.9\times ns\leq N_u \leq1.2\times ns$). The metrics are normalized with respect to a simulation with $u_{expt}$= 30 seconds and $N_u = 1.0\times ns$. Three additional columns on the left show: \texttt{v\_3.2} (\baseline{3.2}, pre-filter-throughput update, notably generally worse) and \texttt{v3.3} (\baseline{3.3}, which follows exactly the same observing strategy as \baseline{3.2} but includes throughput updates) and $u~38s~1*$ where the exposure time of all other bands is adjusted to compensate for extra time spent in $u$ (whereas in all other simulations shown in this plot the exposure time is kept at 30 seconds). The SCOC recommends an adjustment of the exposure in all bands ($\sim$29 instead of 30 seconds) and this is implemented in all simulations starting with \texttt{v3.5}.} \label{fig:uband} \end{figure} \FloatBarrier \subsection{Rolling}\label{sec:rolling} -In a rolling strategy, instead of distributing visits uniformly on the WFD footprint, the sky is split into regions that alternate high- and low-intensity monitoring. In \citetalias{PSTN-055}, the SCOC recommended the implementation of a rolling strategy for the LSST WFD at a strength of 0.9\footnote{This number represents the fraction of the visits that the scheduler attempts to place in the high-activity rolling region. However, the resulting visit distribution is more uniform (75--80\% in high-activity regions, 25--20\% in low ones) due to competing requirements (\eg , filter balance, minimum number of observations per pointing per year in each filter to produce templates, weather, etc...)} -with the sky split into two rolling regions constituted by four longitudinal stripes. The primary drivers for this recommendation are time-domain science including the exploration of the transient and variable sky and SN cosmology. Rolling as described decreases the median time-gaps compared to a no-rolling implementation of LSST: +In a rolling strategy, instead of distributing visits uniformly on the WFD footprint, the sky is split into regions that alternate between high- and low-intensity monitoring. In \citetalias{PSTN-055}, the SCOC recommended the implementation of a rolling strategy for the LSST WFD at a strength of 0.9\footnote{This number represents the fraction of the visits that the scheduler attempts to place in the high-activity rolling region. However, the resulting visit distribution is more uniform (75--80\% in high-activity regions, 25--20\% in low ones) due to competing requirements (\eg , filter balance, minimum number of observations per pointing per year in each filter to produce templates, weather, etc...)} +with the sky split into two rolling regions constituted by four longitudinal stripes. The primary drivers for this recommendation are time-domain science, including the exploration of the transient and variable sky and SN cosmology. Rolling as described decreases the median time gaps compared to a no-rolling implementation of LSST: distributing the $\sim$800 visits per pointing evenly into 10 seasons results in a median revisit time per pointing of about 4.5 nights, while rolling can increase the cadence on the areas of sky closer to 2.5 nights.\footnote{The reader is reminded that each pointing receives two or three visits per night. The time gaps reported here are for inter-night observations.} However, concerns were raised by the DESC, and seconded by other groups such as the Galaxies SC, regarding the lack of uniformity in the distribution of depths across the survey in planned yearly data releases for intermediate years between 1 and 10 compared to a no-rolling strategy \citep[see discussion in][which noted this as a potential future concern before the adoption of a rolling cadence as the baseline]{2022ApJS..259...58L}. These concerns highlighted the negative impact that rolling induces on the cosmological analysis conducted with static-sky probes due to a decreased uniformity of the data releases, which has been shown to cause several significant issues for cosmological large-scale structure analyses \citep[\eg ,][]{2022PhRvD.105b3520A,2023JCAP...07..044B}. - This uniformity challenge could be addressed after data collection by selecting and limiting the number of images going into a data release per field (including these data in future data releases) to achieve higher uniformity or by a ``renoising'' step. These data management solutions are at the moment unscoped and do not fall under the current requirements of the Rubin DM deliverables. + This uniformity challenge could be addressed after data collection by selecting and limiting the number of images going into a data release per field (including these data in future data releases) to achieve higher uniformity or by a ``renoising'' step. These data management solutions are, at the moment, unscoped and do not fall under the current requirements of the Rubin DM deliverables. The official Phase 2 recommendation stated that: \vspace{-0.5cm} \begin{quote} - [\citetalias{PSTN-055}] ``The current SCOC recommendation is to implement a rolling cadence with a half-sky rolling scheme and a 0.9 rolling weight. However, rolling impacts the uniformity of static data releases which, as experts in the community have highlighted, is necessary for static sky science in general and cosmology in particular. This issue may be resolved or mitigated at the software level in the creation of coadds and catalogs, rather than at the scheduler level. The community should specify the desired and necessary requirements for uniformity to enable the exploration of data processing solutions to this problem. Depending on the feasibility of a solution to ensure sufficient uniformity, the SCOC recommendation on rolling may be re-evaluated.'' + {[\citetalias{PSTN-055} \S4] + ``The current SCOC recommendation is to implement a rolling cadence with a half-sky rolling scheme and a 0.9 rolling weight. However, rolling impacts the uniformity of static data releases which, as experts in the community have highlighted, is necessary for static sky science in general and cosmology in particular. This issue may be resolved or mitigated at the software level in the creation of coadds and catalogs, rather than at the scheduler level. The community should specify the desired and necessary requirements for uniformity to enable the exploration of data processing solutions to this problem. Depending on the feasibility of a solution to ensure sufficient uniformity, the SCOC recommendation on rolling may be re-evaluated.'' } \end{quote} - With the goal of quantifying the necessary uniformity to enable cosmological results at certain key data releases,\footnote{These intermediate releases were selected because they enable equally-spaced time intervals between new datasets for comprehensive static science analysis: years 1, 4, 7, and 10 corresponding to DR2, DR5, DR8, DR11.} DR5 and DR8, as well as identifying solutions that enable rolling (at the strength recommended in \citetalias{PSTN-055}) while increasing the uniformity of key data releases, a Uniformity Task Force developed alternative rolling implementations. + With the goal of quantifying the necessary uniformity to enable cosmological results at certain key data releases,\footnote{These intermediate releases were selected because they enable equally spaced time intervals between new datasets for comprehensive static science analysis: years 1, 4, 7, and 10 corresponding to DR2, DR5, DR8, DR11.} DR5 and DR8, as well as identifying solutions that enable rolling (at the strength recommended in \citetalias{PSTN-055}) while increasing the uniformity of key data releases, a Uniformity Task Force developed alternative rolling implementations. {\it Uniform rolling} implements interruptions of rolling before specific data releases to increase the uniformity of those releases and recover an acceptable level of uniformity at key years---see Figs.~\ref{fig:stripiness} and~\ref{fig:uniform-rolling}. It was found that uniform rolling permits the full survey area to be used for cosmological analysis at years 4 and 7, whereas in previous rolling versions, approximately 35\% of the cosmological constraining power\footnote{Here we quantify cosmological constraining power through emulated forecasts of combined constraints from cosmological weak lensing and large-scale structure measurements \citep{2022ApJS..259...58L}. The constraints assume a $w_0 w_a$CDM cosmological model, with $w_0$ and $w_a$ entering as two parameters in the dark energy equation of state. The constraining power is quantified through the area of the uncertainty contours in the $(w_0, w_a)$ part of parameter space, marginalizing over other cosmological parameters and systematic uncertainties -- then taking the inverse of that area (so that higher values mean lower uncertainty, i.e., tighter cosmological constraints). However, this can be considered more generally as a proxy for how well we are measuring cosmological structure growth, translating into tighter constraints on the amplitude of matter fluctuations if a $\Lambda$CDM cosmological model is assumed.} was lost at those years due to the need for area cuts. -We note that over the 10-year LSST, the envisioned two-region rolling strategy can be implemented with at most four rolling cycles (that is, starting rolling in Y2 and ending rolling in Y10) where a cycle is defined as a pair of two years, where the high- and low-intensity regions are swapped. Uniform rolling requires limiting rolling to three cycles. Rolling primarily benefits science sensitive to timescales of $\sim24-48$ hours.\footnote{Shorter time scales are primarily covered by observations in triplets as discussed in \citetalias{PSTN-055}.} -We note that these time scales had been identified as sensitive and requiring additional improvements in \citetalias{PSTN-055} within the recommendation on rolling (PSTN-055 Section 2.4.1): +We note that over the 10-year LSST, the envisioned two-region rolling strategy can be implemented with at most four rolling cycles (that is, starting rolling in Y2 and ending rolling in Y10) where a cycle is defined as a pair of two years, where the high- and low-intensity regions are swapped. Uniform rolling requires limiting rolling to three cycles. Rolling primarily benefits science sensitive to timescales of $\sim24-48$ hours.\footnote{Shorter time scales are primarily covered by observations in triplets, as discussed in \citetalias{PSTN-055}.} +We note that these time scales had been identified as sensitive and requiring additional improvements in \citetalias{PSTN-055} within the recommendation on rolling (\citetalias{PSTN-055} \S2.4.1): \begin{quote} -[\citetalias{PSTN-055}] ``[...] the SCOC recommends the LSST cadence -be designed to ensure coverage of time scales in the hours-to-one-day range by carefully tuning survey parameters in combination. Performing three visits per night by default is not recommended, but a combination of preferentially pushing a third visit to the following night [...] and requesting a third visit within a night once every several nights ($\sim 1$ week) would achieve this goal.'' + {[\citetalias{PSTN-055} \S2.4.1] ``[...] the SCOC recommends the LSST cadence be designed to ensure coverage of time scales in the hours-to-one-day range by carefully tuning survey parameters in combination. Performing three visits per night by default is not recommended, but a combination of preferentially pushing a third visit to the following night [...] and requesting a third visit within a night once every several nights ($\sim 1$ week) would achieve this goal.'' } \end{quote} %While not designed for this purpose, t @@ -147,58 +136,51 @@ \subsection{Rolling}\label{sec:rolling} % \put(50,30){\color{lsstblue}\huge DRAFT} %\end{overpic} - \includegraphics[width=0.4\linewidth]{figures/rolling_sampling.png}\begin{overpic}[width=0.58\textwidth]{figures/rolling_nsamples.png} - \put(0,30){\color{lsstblue}\huge DRAFT} - \end{overpic} - %\includegraphics[width=0.58\linewidth]{figures/rolling_nsamples.png} - \caption{The mean number of observations at 24, 48, 72, and 96 hours in all bands, $g$ band only, $r$ band only, and $z$ band only as a function of the number of rolling cycles: each cycle of rolling cadence improves the number of samples by about 7\%. On the left, the ratio of samples normalized to the number of samples when not rolling is shown for two \opsim s with 3 rolling cycles (\texttt{roll\_3\_v3.4\_10yrs} and \texttt{roll\_uniform\_early\_half\_mjdp0\_v3.4\_10yrs}) and two \opsim s with 4 rolling cycles (\baseline{3.3} and \baseline{3.4}). On the right, the absolute number of samples is shown in $g$, $r$, and $i$. 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