Science case conclusions: 10 questions to answer #494

Description

@drphilmarshall

Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

Task:

@ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
while others offer the possibility of dramatic changes. It is particularly valuable to identify
constraints or tradeoffs that hold across a broad swath of science programs, and to understand
which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

To illustrate the expected detail level of answers, we also provide an example for each
question (which attempted to reflect real constraints, but are not binding in any way).

1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

Example: Weak lensing science scales with the number of well-measured galaxies. The main
survey area should be optimized to maximize the size of galaxy sample.

2) Can you place constraints on the trade between uniformity of sampling and frequency of
sampling?
For example, a rolling cadence can provide enhanced sample rates over part or all
of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
maintaining the nominal total visit counts).

Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
for the current baseline cadence. The benefits of this improved sampling would outweigh
the loss of active sky area.

3) Can you place constraints on the tradeoff between the single-visit depth and the number
of visits?
Especially in the u band, where longer exposures would minimize the impact of the
readout noise.

Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
of about 1, that can be probed with LSST filter complement, is at least r
24.5. The increased
number of visits that could be obtained with shallower data would not benefit either science
case.

4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
sampling, visits per band)?

Example: Our science program cannot place any constraints on the Galactic plane coverage.

5) Can you place constraints on the fractions of observing time allocated to each band?

Example: Photometric redshift estimates for galaxies require that each band receives at least
10% of the total observing time.

6) Can you place constraints on the cadence for deep drilling fields?

Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
has to be observed each night in all 6 bands for at least 4 months.

7) Assuming two visits per night, should they be obtained in the same band or not?

Example: The completeness considerations for asteroids suggest that two visits in a given
night should be obtained with the same band.

8) Would your science benefit from a special cadence prescription during commissioning or
early in the survey,
such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

Example: The deep drilling fields with multi-wavelength data would enable early science results
if LSST data were obtained early.

9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
airmass), possibly as a function of band, etc.?

Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

10) Do you have science drivers that would require real-time exposure time optimization
to obtain nearly constant single-visit limiting depth?

Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
survey) would benefit from its uniform distribution.

Finally, if your science would benefit from a cadence methodology not covered by these questions,
please enter a description of this methodology at http://ls.st/yqq

Metadata

Metadata

Type

No type

Projects

No projects

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions

    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
    }
    } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
    })();
    (function(){
    try {
    var __m = "github.com";
    var __re = new RegExp('^' + "github\\.com" + '
    
    Skip to content

    Science case conclusions: 10 questions to answer #494

    Description

    @drphilmarshall

    Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

    Task:

    @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
    while others offer the possibility of dramatic changes. It is particularly valuable to identify
    constraints or tradeoffs that hold across a broad swath of science programs, and to understand
    which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

    To illustrate the expected detail level of answers, we also provide an example for each
    question (which attempted to reflect real constraints, but are not binding in any way).

    1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
    For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
    or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

    Example: Weak lensing science scales with the number of well-measured galaxies. The main
    survey area should be optimized to maximize the size of galaxy sample.

    2) Can you place constraints on the trade between uniformity of sampling and frequency of
    sampling?
    For example, a rolling cadence can provide enhanced sample rates over part or all
    of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
    maintaining the nominal total visit counts).

    Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
    for the current baseline cadence. The benefits of this improved sampling would outweigh
    the loss of active sky area.

    3) Can you place constraints on the tradeoff between the single-visit depth and the number
    of visits?
    Especially in the u band, where longer exposures would minimize the impact of the
    readout noise.

    Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
    of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
    of about 1, that can be probed with LSST filter complement, is at least r
    24.5. The increased
    number of visits that could be obtained with shallower data would not benefit either science
    case.

    4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
    sampling, visits per band)?

    Example: Our science program cannot place any constraints on the Galactic plane coverage.

    5) Can you place constraints on the fractions of observing time allocated to each band?

    Example: Photometric redshift estimates for galaxies require that each band receives at least
    10% of the total observing time.

    6) Can you place constraints on the cadence for deep drilling fields?

    Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
    has to be observed each night in all 6 bands for at least 4 months.

    7) Assuming two visits per night, should they be obtained in the same band or not?

    Example: The completeness considerations for asteroids suggest that two visits in a given
    night should be obtained with the same band.

    8) Would your science benefit from a special cadence prescription during commissioning or
    early in the survey,
    such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

    Example: The deep drilling fields with multi-wavelength data would enable early science results
    if LSST data were obtained early.

    9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
    airmass), possibly as a function of band, etc.?

    Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

    10) Do you have science drivers that would require real-time exposure time optimization
    to obtain nearly constant single-visit limiting depth?

    Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
    survey) would benefit from its uniform distribution.

    Finally, if your science would benefit from a cadence methodology not covered by these questions,
    please enter a description of this methodology at http://ls.st/yqq

    Metadata

    Metadata

    Type

    No type

    Projects

    No projects

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions

      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
      Skip to content

      Science case conclusions: 10 questions to answer #494

      Description

      @drphilmarshall

      Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

      Task:

      @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
      while others offer the possibility of dramatic changes. It is particularly valuable to identify
      constraints or tradeoffs that hold across a broad swath of science programs, and to understand
      which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

      To illustrate the expected detail level of answers, we also provide an example for each
      question (which attempted to reflect real constraints, but are not binding in any way).

      1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
      For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
      or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

      Example: Weak lensing science scales with the number of well-measured galaxies. The main
      survey area should be optimized to maximize the size of galaxy sample.

      2) Can you place constraints on the trade between uniformity of sampling and frequency of
      sampling?
      For example, a rolling cadence can provide enhanced sample rates over part or all
      of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
      maintaining the nominal total visit counts).

      Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
      for the current baseline cadence. The benefits of this improved sampling would outweigh
      the loss of active sky area.

      3) Can you place constraints on the tradeoff between the single-visit depth and the number
      of visits?
      Especially in the u band, where longer exposures would minimize the impact of the
      readout noise.

      Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
      of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
      of about 1, that can be probed with LSST filter complement, is at least r
      24.5. The increased
      number of visits that could be obtained with shallower data would not benefit either science
      case.

      4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
      sampling, visits per band)?

      Example: Our science program cannot place any constraints on the Galactic plane coverage.

      5) Can you place constraints on the fractions of observing time allocated to each band?

      Example: Photometric redshift estimates for galaxies require that each band receives at least
      10% of the total observing time.

      6) Can you place constraints on the cadence for deep drilling fields?

      Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
      has to be observed each night in all 6 bands for at least 4 months.

      7) Assuming two visits per night, should they be obtained in the same band or not?

      Example: The completeness considerations for asteroids suggest that two visits in a given
      night should be obtained with the same band.

      8) Would your science benefit from a special cadence prescription during commissioning or
      early in the survey,
      such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

      Example: The deep drilling fields with multi-wavelength data would enable early science results
      if LSST data were obtained early.

      9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
      airmass), possibly as a function of band, etc.?

      Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

      10) Do you have science drivers that would require real-time exposure time optimization
      to obtain nearly constant single-visit limiting depth?

      Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
      survey) would benefit from its uniform distribution.

      Finally, if your science would benefit from a cadence methodology not covered by these questions,
      please enter a description of this methodology at http://ls.st/yqq

      Metadata

      Metadata

      Type

      No type

      Projects

      No projects

        Relationships

        None yet

        Development

        No branches or pull requests

        Issue actions

        , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
        Skip to content

        Science case conclusions: 10 questions to answer #494

        Description

        @drphilmarshall

        Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

        Task:

        @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
        while others offer the possibility of dramatic changes. It is particularly valuable to identify
        constraints or tradeoffs that hold across a broad swath of science programs, and to understand
        which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

        To illustrate the expected detail level of answers, we also provide an example for each
        question (which attempted to reflect real constraints, but are not binding in any way).

        1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
        For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
        or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

        Example: Weak lensing science scales with the number of well-measured galaxies. The main
        survey area should be optimized to maximize the size of galaxy sample.

        2) Can you place constraints on the trade between uniformity of sampling and frequency of
        sampling?
        For example, a rolling cadence can provide enhanced sample rates over part or all
        of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
        maintaining the nominal total visit counts).

        Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
        for the current baseline cadence. The benefits of this improved sampling would outweigh
        the loss of active sky area.

        3) Can you place constraints on the tradeoff between the single-visit depth and the number
        of visits?
        Especially in the u band, where longer exposures would minimize the impact of the
        readout noise.

        Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
        of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
        of about 1, that can be probed with LSST filter complement, is at least r
        24.5. The increased
        number of visits that could be obtained with shallower data would not benefit either science
        case.

        4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
        sampling, visits per band)?

        Example: Our science program cannot place any constraints on the Galactic plane coverage.

        5) Can you place constraints on the fractions of observing time allocated to each band?

        Example: Photometric redshift estimates for galaxies require that each band receives at least
        10% of the total observing time.

        6) Can you place constraints on the cadence for deep drilling fields?

        Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
        has to be observed each night in all 6 bands for at least 4 months.

        7) Assuming two visits per night, should they be obtained in the same band or not?

        Example: The completeness considerations for asteroids suggest that two visits in a given
        night should be obtained with the same band.

        8) Would your science benefit from a special cadence prescription during commissioning or
        early in the survey,
        such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

        Example: The deep drilling fields with multi-wavelength data would enable early science results
        if LSST data were obtained early.

        9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
        airmass), possibly as a function of band, etc.?

        Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

        10) Do you have science drivers that would require real-time exposure time optimization
        to obtain nearly constant single-visit limiting depth?

        Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
        survey) would benefit from its uniform distribution.

        Finally, if your science would benefit from a cadence methodology not covered by these questions,
        please enter a description of this methodology at http://ls.st/yqq

        Metadata

        Metadata

        Type

        No type

        Projects

        No projects

          Relationships

          None yet

          Development

          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
          Skip to content

          Science case conclusions: 10 questions to answer #494

          Description

          @drphilmarshall

          Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

          Task:

          @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
          while others offer the possibility of dramatic changes. It is particularly valuable to identify
          constraints or tradeoffs that hold across a broad swath of science programs, and to understand
          which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

          To illustrate the expected detail level of answers, we also provide an example for each
          question (which attempted to reflect real constraints, but are not binding in any way).

          1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
          For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
          or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

          Example: Weak lensing science scales with the number of well-measured galaxies. The main
          survey area should be optimized to maximize the size of galaxy sample.

          2) Can you place constraints on the trade between uniformity of sampling and frequency of
          sampling?
          For example, a rolling cadence can provide enhanced sample rates over part or all
          of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
          maintaining the nominal total visit counts).

          Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
          for the current baseline cadence. The benefits of this improved sampling would outweigh
          the loss of active sky area.

          3) Can you place constraints on the tradeoff between the single-visit depth and the number
          of visits?
          Especially in the u band, where longer exposures would minimize the impact of the
          readout noise.

          Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
          of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
          of about 1, that can be probed with LSST filter complement, is at least r
          24.5. The increased
          number of visits that could be obtained with shallower data would not benefit either science
          case.

          4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
          sampling, visits per band)?

          Example: Our science program cannot place any constraints on the Galactic plane coverage.

          5) Can you place constraints on the fractions of observing time allocated to each band?

          Example: Photometric redshift estimates for galaxies require that each band receives at least
          10% of the total observing time.

          6) Can you place constraints on the cadence for deep drilling fields?

          Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
          has to be observed each night in all 6 bands for at least 4 months.

          7) Assuming two visits per night, should they be obtained in the same band or not?

          Example: The completeness considerations for asteroids suggest that two visits in a given
          night should be obtained with the same band.

          8) Would your science benefit from a special cadence prescription during commissioning or
          early in the survey,
          such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

          Example: The deep drilling fields with multi-wavelength data would enable early science results
          if LSST data were obtained early.

          9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
          airmass), possibly as a function of band, etc.?

          Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

          10) Do you have science drivers that would require real-time exposure time optimization
          to obtain nearly constant single-visit limiting depth?

          Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
          survey) would benefit from its uniform distribution.

          Finally, if your science would benefit from a cadence methodology not covered by these questions,
          please enter a description of this methodology at http://ls.st/yqq

          Metadata

          Metadata

          Type

          No type

          Projects

          No projects

            Relationships

            None yet

            Development

            No branches or pull requests

            Issue actions

            , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
            Skip to content

            Science case conclusions: 10 questions to answer #494

            Description

            @drphilmarshall

            Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

            Task:

            @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
            while others offer the possibility of dramatic changes. It is particularly valuable to identify
            constraints or tradeoffs that hold across a broad swath of science programs, and to understand
            which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

            To illustrate the expected detail level of answers, we also provide an example for each
            question (which attempted to reflect real constraints, but are not binding in any way).

            1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
            For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
            or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

            Example: Weak lensing science scales with the number of well-measured galaxies. The main
            survey area should be optimized to maximize the size of galaxy sample.

            2) Can you place constraints on the trade between uniformity of sampling and frequency of
            sampling?
            For example, a rolling cadence can provide enhanced sample rates over part or all
            of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
            maintaining the nominal total visit counts).

            Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
            for the current baseline cadence. The benefits of this improved sampling would outweigh
            the loss of active sky area.

            3) Can you place constraints on the tradeoff between the single-visit depth and the number
            of visits?
            Especially in the u band, where longer exposures would minimize the impact of the
            readout noise.

            Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
            of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
            of about 1, that can be probed with LSST filter complement, is at least r
            24.5. The increased
            number of visits that could be obtained with shallower data would not benefit either science
            case.

            4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
            sampling, visits per band)?

            Example: Our science program cannot place any constraints on the Galactic plane coverage.

            5) Can you place constraints on the fractions of observing time allocated to each band?

            Example: Photometric redshift estimates for galaxies require that each band receives at least
            10% of the total observing time.

            6) Can you place constraints on the cadence for deep drilling fields?

            Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
            has to be observed each night in all 6 bands for at least 4 months.

            7) Assuming two visits per night, should they be obtained in the same band or not?

            Example: The completeness considerations for asteroids suggest that two visits in a given
            night should be obtained with the same band.

            8) Would your science benefit from a special cadence prescription during commissioning or
            early in the survey,
            such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

            Example: The deep drilling fields with multi-wavelength data would enable early science results
            if LSST data were obtained early.

            9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
            airmass), possibly as a function of band, etc.?

            Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

            10) Do you have science drivers that would require real-time exposure time optimization
            to obtain nearly constant single-visit limiting depth?

            Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
            survey) would benefit from its uniform distribution.

            Finally, if your science would benefit from a cadence methodology not covered by these questions,
            please enter a description of this methodology at http://ls.st/yqq

            Metadata

            Metadata

            Type

            No type

            Projects

            No projects

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              Science case conclusions: 10 questions to answer #494

              Description

              @drphilmarshall

              Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

              Task:

              @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
              while others offer the possibility of dramatic changes. It is particularly valuable to identify
              constraints or tradeoffs that hold across a broad swath of science programs, and to understand
              which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

              To illustrate the expected detail level of answers, we also provide an example for each
              question (which attempted to reflect real constraints, but are not binding in any way).

              1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
              For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
              or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

              Example: Weak lensing science scales with the number of well-measured galaxies. The main
              survey area should be optimized to maximize the size of galaxy sample.

              2) Can you place constraints on the trade between uniformity of sampling and frequency of
              sampling?
              For example, a rolling cadence can provide enhanced sample rates over part or all
              of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
              maintaining the nominal total visit counts).

              Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
              for the current baseline cadence. The benefits of this improved sampling would outweigh
              the loss of active sky area.

              3) Can you place constraints on the tradeoff between the single-visit depth and the number
              of visits?
              Especially in the u band, where longer exposures would minimize the impact of the
              readout noise.

              Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
              of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
              of about 1, that can be probed with LSST filter complement, is at least r
              24.5. The increased
              number of visits that could be obtained with shallower data would not benefit either science
              case.

              4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
              sampling, visits per band)?

              Example: Our science program cannot place any constraints on the Galactic plane coverage.

              5) Can you place constraints on the fractions of observing time allocated to each band?

              Example: Photometric redshift estimates for galaxies require that each band receives at least
              10% of the total observing time.

              6) Can you place constraints on the cadence for deep drilling fields?

              Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
              has to be observed each night in all 6 bands for at least 4 months.

              7) Assuming two visits per night, should they be obtained in the same band or not?

              Example: The completeness considerations for asteroids suggest that two visits in a given
              night should be obtained with the same band.

              8) Would your science benefit from a special cadence prescription during commissioning or
              early in the survey,
              such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

              Example: The deep drilling fields with multi-wavelength data would enable early science results
              if LSST data were obtained early.

              9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
              airmass), possibly as a function of band, etc.?

              Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

              10) Do you have science drivers that would require real-time exposure time optimization
              to obtain nearly constant single-visit limiting depth?

              Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
              survey) would benefit from its uniform distribution.

              Finally, if your science would benefit from a cadence methodology not covered by these questions,
              please enter a description of this methodology at http://ls.st/yqq

              Metadata

              Metadata

              Type

              No type

              Projects

              No projects

                Relationships

                None yet

                Development

                No branches or pull requests

                Issue actions

                , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                Skip to content

                Science case conclusions: 10 questions to answer #494

                Description

                @drphilmarshall

                Chapter Editors: can you please issue each of your science section writing teams with the following task? Thanks!

                Task:

                @ivezic would like to know how each science case constrains the observing cadence in several specific ways, and has provided a list of ten questions he would like answered for each science case - his list is below. Not all the questions will be relevant to every science case, but every science case must present its conclusions, and this list of questions is a very good framework to base them on! Some of the questions address relatively simple fine tuning of survey parameters,
                while others offer the possibility of dramatic changes. It is particularly valuable to identify
                constraints or tradeoffs that hold across a broad swath of science programs, and to understand
                which options, if any, are neutral to the science - by having every science case answer these questions, we will be better able to do that.

                To illustrate the expected detail level of answers, we also provide an example for each
                question (which attempted to reflect real constraints, but are not binding in any way).

                1) Can you place constraints on the tradeoff between the sky coverage and coadded depth?
                For example, should we maximize the sky coverage (to ~30,000 sq. deg., as e.g. Pan-STARRS)
                or the number of detected galaxies (the current baseline with 18,000 sq. deg.)?

                Example: Weak lensing science scales with the number of well-measured galaxies. The main
                survey area should be optimized to maximize the size of galaxy sample.

                2) Can you place constraints on the trade between uniformity of sampling and frequency of
                sampling?
                For example, a rolling cadence can provide enhanced sample rates over part or all
                of the survey part of the time, at the cost of reduced sample rate the rest of the time (while
                maintaining the nominal total visit counts).

                Example: For Type Ia SNe science, light-curve sampling should be about twice as frequent as
                for the current baseline cadence. The benefits of this improved sampling would outweigh
                the loss of active sky area.

                3) Can you place constraints on the tradeoff between the single-visit depth and the number
                of visits?
                Especially in the u band, where longer exposures would minimize the impact of the
                readout noise.

                Example: The single-visit depth required for detecting RR Lyrae stars to the presumed tidal radius
                of the Milky Way is at least r24.5. The single-visit depth required for detecting SNe to redshifts
                of about 1, that can be probed with LSST filter complement, is at least r
                24.5. The increased
                number of visits that could be obtained with shallower data would not benefit either science
                case.

                4) Can you place constraints on the Galactic plane coverage (spatial coverage, temporal
                sampling, visits per band)?

                Example: Our science program cannot place any constraints on the Galactic plane coverage.

                5) Can you place constraints on the fractions of observing time allocated to each band?

                Example: Photometric redshift estimates for galaxies require that each band receives at least
                10% of the total observing time.

                6) Can you place constraints on the cadence for deep drilling fields?

                Example: In order to obtain good light-curve templates for SNe, at least one deep drilling field
                has to be observed each night in all 6 bands for at least 4 months.

                7) Assuming two visits per night, should they be obtained in the same band or not?

                Example: The completeness considerations for asteroids suggest that two visits in a given
                night should be obtained with the same band.

                8) Would your science benefit from a special cadence prescription during commissioning or
                early in the survey,
                such as: acquiring a full 10-yr count of visits for a small area (either in all or in selected bands); a greatly enhanced cadence for a small area?

                Example: The deep drilling fields with multi-wavelength data would enable early science results
                if LSST data were obtained early.

                9) Do you have constraints for sampling of observing conditions (e.g. seeing, dark sky,
                airmass), possibly as a function of band, etc.?

                Example: Weak lensing science would greatly benefit if the r and i band data were obtained during the best seeing nights.

                10) Do you have science drivers that would require real-time exposure time optimization
                to obtain nearly constant single-visit limiting depth?

                Example: Science programs requiring a minimum single-visit depth (such as Near-Earth Object
                survey) would benefit from its uniform distribution.

                Finally, if your science would benefit from a cadence methodology not covered by these questions,
                please enter a description of this methodology at http://ls.st/yqq

                Metadata

                Metadata

                Type

                No type

                Projects

                No projects

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions