Survey Options Session1 and 2 Particular focus - special cadence - - PowerPoint PPT Presentation

survey options session1 and 2
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Survey Options Session1 and 2 Particular focus - special cadence - - PowerPoint PPT Presentation

Survey Options Session1 and 2 Particular focus - special cadence requirements or opportunities that deserve more (or less) attention than they have received - candidate tools for WFD and mini- surveys Sessions by topics Session 1


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SLIDE 1

Survey Options Session1 and 2

Particular focus

  • special cadence requirements or
  • pportunities that deserve more (or less)

attention than they have received

  • candidate “tools” for WFD and mini-

surveys

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SLIDE 2

Sessions by topics

  • Session 1 – morning

– Standard visits: 2 exposures vs 1 – Non-standard visits: greater depth in u? – Survey uniformity: depth, seeing,…. – Survey area – trade against number of visits

  • Session 2 - afternoon

– Rolling Cadences: what are the objectives, trades, and constraints? – Dithering: translation, rotation – Length of the observing season: denser sampling vs longer time series

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SLIDE 3

Probable contributors

  • DESC cadence needs (Dan Scolnic, Humna Awan)
  • 1 vs 2 image visits (Chris Stubbs)
  • Strong Lensing (Phil Marshall, Aprajita Verma, ....)
  • Galaxies (Eric Gawiser)
  • Simulations for cadence options (Lynn Jones, Owen Boberg, Tiago

Ribiero)

  • Rolling cadences (Peter Yoachim)
  • Solar system cadences (David Trilling, Henry Hsieh)
  • AGN (Gordon Richards, Neil Brandt)
  • Intelligent exposures, dithering (Tony Tyson)
  • Dwarf galaxy cadence needs (Steve Ridgway)
  • SN cosmology (Renée Hlozek, Nicolas Regnault)
  • Comments (Robert Lupton)
  • Variables (Fed Bianco,….)
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SLIDE 4

Overview of Session 1 Topics

Exposure times and Visit Counts

  • Standard visits: 2 exposures vs 1
  • Non-standard visits: greater depth in u?
  • Survey uniformity: depth, seeing,….
  • Survey area – trade against number of

visits

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SLIDE 5

1x30 sec exposure?

  • Typical 2x15 visit interval 39 sec

– Save 1 readout (2 sec) and 1 shutter cycle (1 sec) – Efficiency gain – 7.5%

  • As a fraction of LSST construction cost ~$50M
  • Considerations

– Reduce data bandwidth and archive volume – Lose science potential of very short gap images – Data loss due to cosmic rays, satellites, glitches

  • Comments

– Chris Stubbs – Robert Lupton – Tony Tyson

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SLIDE 6

Increase read time?

  • 3-4 sec instead of 2 sec
  • Improved detector performance
  • Comments?

– Robert Lupton

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SLIDE 7

Visit pattern?

  • Multiplicity strategy

– Facilitate study of moving, rapidly varying targets – Confirmation vs characterization – Same filter, different filter – Temporal pattern – gap length

  • Multiple visits compete with cadence frequency
  • Visit pairs reduces number of “epochs” by 2X
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SLIDE 8

Fans of Multiplicity

  • Solar System (David Trilling, Henry Hsieh,

…?)

  • Variables, fast transients………
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SLIDE 9

Increase u exposure - rationale

  • Improved photon detection efficiency and
  • bserving efficiency
  • Some science benefits from improved u

depth – e.g. improves discrimination between faint stars and distant galaxies

  • Compromise – either decreased number of

u-band visits, or reduced time for other filters

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SLIDE 10

Increase u-band depth

  • With fewer visits*

– Yes

  • Milky Way, Variable Objects

– No

  • Astrometry, Transients, GRB, AGN

– Maybe

  • MW Halo, Cepheid ML, Variable Objects, SN, Large

Scale Structure, Cosmology

  • Preserve the number of visits

– Yes – Determining impact on schedule efficiency requires simulation

* “Votes” from Survey Strategy paper

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SLIDE 11

Increase u exposure - Simulation kraken_1045

  • Double exposure time, retain number of

visits

  • Increase u depth 0.5 mag
  • Decrease other bands 0.05 mag
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SLIDE 12

Possible champions for increased u-band sensitivity?

  • Variables?
  • Milky Way?
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SLIDE 13

Survey Uniformity

  • Uniform data sets are convenient for

science

  • Observing conditions are variable
  • Strategies for achiving uniformity

– Statistical (no selection or control) – Control of cadence for conditions – Selection of filter/field for conditions

  • Example – uniform depth
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SLIDE 14

Baseline2018, WFD Square Degrees at Visit Depth

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SLIDE 15

Uniformity by control - depth

  • Can be actively controlled by adjusting

integration time

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SLIDE 16

Relative number

  • f visits

0.57 for median = 0.72 sec 0.95 for mean = 0.85 sec

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SLIDE 17

Baseline2018, Square Degrees at Stacked Depth

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SLIDE 18

Baseline2018, WFD Square Degrees at Visit Depth

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SLIDE 19

Baseline2018, Square Degrees at Stacked Depth – Overlay Random Dithered Healpix

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SLIDE 20

Uniformity by Selection

  • Uniformity in other parameters: image quality,

sky brightness, zenith distance, parallax

  • Dithering is a profound complication to

selection

  • One approach - reserve specific dithers for

particular observing values, and/or to track conditions at all dithers and constrain or repeat dithers as needed.

  • If rotation of dither must be considered, it is

more challenging and probably less efficient to achieve

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SLIDE 21

Interests in pursuing uniformity by selection?

  • DESC?
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SLIDE 22

Survey Area

  • Some science benefits from increased sky

coverage possibly with reduced cadence

– Higher count of targets vs incremental gain from stacking more visits – Better sky coverage

  • Study distributions on sky - e.g. MW dwarf galaxies

– Not all science needs full power of WFD survey

  • Extend area with limited filter set/cadence
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SLIDE 23

Overview of Session 2 Topics

  • Rolling Cadences: what are the objectives,

trades, and constraints?

  • Dithering: translation, rotation
  • Length of the observing season: denser

sampling vs longer time series

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SLIDE 24

Rolling Cadences

  • Why needed?

– Low revisit rate in universal cadence

  • Some of the trades

– Shorter inter-visit gaps vs longer seasonal gaps – Rolling cadences can be very complex

  • Considerations

– Cadence less “universal” – Or even heterogeneous – Survey “closure” interval

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SLIDE 25

Why Rolling Cadence?

  • Ten year survey, 800 visits in pairs means

– 40 epochs/year (all filters) – 10 epochs/year (r or i filter)

  • For an observing season of 8 months

– 6 day phase gaps (all filters) – 24 day phase gaps (r or i filter)

  • Concept – redistribute visits for more

dense coverage some time and less dense coverage other times

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SLIDE 26

Potential reduction in phase gaps

  • Example – assume that half of all visits to

a region are available and are deployed to enhance sampling

– For one pass in 10 years, 6x reduction – For two passes in 10 years, ~3.5X reduction – For 3 passes in 10 years, ~2.7X reduction

  • Additional flexibility – ½ season length, no

multiplicity

– 24x reduction

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SLIDE 27

Comments on Rolling Cadence

  • SN cosmology requrements (Renée

Holzek, Nicolas Regnault,….)

  • Rolling cadence simulator developments

(Peter Yoachim,…..)

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SLIDE 28

Rolling Cadences can be complex

  • Spatial region definitions
  • Duration of cadence segments
  • Selection of filters
  • Cross-talk with regular WFD
  • Multiplicity of visits
  • Survey status for annual releases
  • Some science needs both small phase gaps and

long time series

  • But implementation can be simple – candidate for

scripted schedule segments

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SLIDE 29

Phase coverage desert

  • Time constants larger than 30 minutes and

less than 4 days (any one filter) are not well served by uniform cadence or by general purpose rolling cadences

  • Option – visits deployed as “micro-

surveys”.

– E.g. rolling cadence season of 30 days applied to each sky region for one roll

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SLIDE 30

Dithering

  • Relevant discussions at LSST2017

breakout on Sky Tiling

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SLIDE 31

Overview of LSST2017 Sky Tiling Breakout

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SLIDE 32

TESTING LSST DITHER STRATEGIES FOR SURVEY UNIFORMITY AND LARGE-SCALE STRUCTURE SYSTEMATICS Awan, Gawiser, Jones, Zhan, Padilla, Arancibia, Cora, Yoachim

  • Tested random, haxagonal, spiral dithers
  • Examined spatial structure in coadded depth
  • Conclusions

– Favor per-visit and per-night dithers – Most dither methods improve estimated number of galaxies – Most methods reduce spurious structure in galaxy counts below statistical

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SLIDE 33

SKY TILING, ROTATIONS, OVERLAPS Chris Stubbs

Attaining good sky coverage (<1% gaps) with fixed centers implies roughly 80% of sky gets single-coverage roughly 20% of sky gets double-coverage Open Question

  • What’s the interplay between photometric calibrations, frame

subtraction artifacts, and dithering/rotations?

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SLIDE 34

LSST FoV in MAF Peter Yoachim

  • Addressed FOV placement as packing

problem

  • Dithering in simulations
  • Is there any science planned for the
  • verlap regions? Variability on 30s-10min

timescales? Need metrics.

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SLIDE 35

LSST FoV in MAF Peter Yoachim

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SLIDE 36

SEVERAL TOPICS Steve Ridgway

  • Possible efficiency loss with dithering
  • Difficulty of achieving uniformity in various
  • bserving parameters with dithering
  • Benefits/costs of achieving uniformity in

stacked images, and when during survey

  • Randomizing optics angles
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SLIDE 37

Open dithering issues?

  • Dither memory and make-up rules
  • Defining quantitative requirement for

rotational dither

  • Dithering on field edges (1-2% of WFD)
  • Cross-talk between dither and temporal

sampling for short time scale events

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SLIDE 38

Comments on Dithering

  • Requirements (Tony Tyson)
  • Simulations ……..
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SLIDE 39

Observing Season

  • Trading intervisit gaps against length of season is

quite particular to, e.g.

– target characteristics – fast, slow – science objectives – catalog, characterize – likely follow-up strategy – lsst follow-up vs external facilities

  • Some survey objectives tend to shorten season

– Improve temporal sampling, lower airmass

  • Some tend to lengthen it

– Characterize slow events – Maximize certain discoveries – Maximize parallax baseline

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SLIDE 40

Indicator of season length

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SLIDE 41

Competition with season length?

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SLIDE 42

Comments on Season Length?

  • Strong Lensing (Phil Marshall, Aprajita

Verma,…)

  • AGN (Gordon Richards, Neil Brandt,…?)