magnitudes in a short amount of time LSST 2022-2032 Wide-Deep-Fast 2022-2032 effective aperture of 6.7 m FoV 9.6 deg2 large etendue : collecting area x FoV 75-95% total time
magnitudes repeatedly at short intervals LSST 2022-2032 LSST 2022-2032 effective aperture of 6.7 m FoV 9.6 deg2 large etendue : collecting area x FoV 2022-2032 Wide-Deep-Fast 75-95% total time
of strong and weak lensing, large-scale structure, clusters of galaxies, and supernovae) Exploring the transient and variable universe Studying the structure of the Milky Way galaxy and its neighbors via resolved stellar populations An inventory of the Solar System, including Near Earth Asteroids and Potential Hazardous Objects, Main Belt Asteroids, and Kuiper Belt Objects Science Drivers
of strong and weak lensing, large-scale structure, clusters of galaxies, and supernovae) Exploring the transient and variable universe - supernovae Studying the structure of the Milky Way galaxy and its neighbors via resolved stellar populations - supernovae precursors An inventory of the Solar System, including Near Earth Asteroids and Potential Hazardous Objects, Main Belt Asteroids, and Kuiper Belt Objects moving objects Science Drivers all relevant to trasients + variable Universe!
Fast/Dense LSST constrained optimization problem and the SCs https://github.com/LSSTScienceCollaborations/ObservingStrategy https://arxiv.org/pdf/1708.04058.pdf
study SNe from LSST Data Products? Can we classify She from LSST Prompt Release data? Can we follow-up the SN? (faint and many!) LSST Cadence questions a SN scientist should ask:
study SNe from LSST Data Products? Can we classify SNe from LSST Prompt Release data? Can we follow-up the SN? (faint and many!) LSST Cadence questions a SN scientist should ask:
study SNe from LSST Data Products? Can we classify SNe from LSST Prompt Release data? Can we follow-up the SN? (faint and many!) LSST Cadence questions a SN scientist should ask:
Survey (6.5%) The NES is an extension to reach the Ecliptic at higher airmass than the WFD survey typically covers, no u Wide-Deep-Fast (85.1%) Baseline Cadence: Minion1016
Survey (6.5%) The NES is an extension to reach the Ecliptic at higher airmass than the WFD survey typically covers, no u South Celestial Pole (2.2%): higher airmass decl>−65 degrees. includes ugrizy, but takes fewer exposures/field than the WFD and does not collect in pairs. Wide-Deep-Fast (85.1%) Baseline Cadence: Minion1016
(1.7%): covers the region where LSST is expected to be highly confused by the density of stellar sources; fewer total exposures/ field and does not collect in pairs North Ecliptic Survey (6.5%) The NES is an extension to reach the Ecliptic at higher airmass than the WFD survey typically covers, no u South Celestial Pole (2.2%): higher airmass decl>−65 degrees. includes ugrizy, but takes fewer exposures/field than the WFD and does not collect in pairs. Wide-Deep-Fast (85.1%) Baseline Cadence: Minion1016
Fields DDF (4.5%) North Ecliptic Survey The NES is an extension to reach the Ecliptic at higher airmass than the WFD survey typically covers, no u Galactic Plane (1.7%): covers the region where LSST is expected to be highly confused by the density of stellar sources; fewer total exposures/ field and does not collect in pairs South Celestial Pole (2.2%): higher airmass decl>−65 degrees. includes ugrizy, but takes fewer exposures/field than the WFD and does not collect in pairs. Wide-Deep-Fast (85.1%) Baseline Cadence: Minion1016
between the magnitude change of each transient’s pair represented in log scale black -> |∆Mag1 − ∆Mag2 | ∼ 8 white -> |∆Mag1 − ∆Mag2 | ∼ 0 Chapter Can we classify SNe from LSST Prompt Release data?
between the magnitude change of each transient’s pair represented in log scale black -> |∆Mag1 − ∆Mag2 | ∼ 8 white -> |∆Mag1 − ∆Mag2 | ∼ 0 Chapter inter-night minutes days intra-night 8 25 25 30 Can we classify SNe from LSST Prompt Release data?
Release data? goo.gl/orHKBn LSST TVSSC Task Force Characterize the functionality needed from a community-broker interface Brokers : Antares (Matheson, Narayan ++) UK broker (Smartt ++)
(units of peak flux) flux (units of peak flux) Bianco+ 11 SNLS 3 years: ~100 SNe 5 days color sampling we set a 20% upper limit to WD-RG progenitors Can we study SNe from LSST Data Products? Progenitor studies from light curves - SN Ia example
progenitors contribution in <=3 months! • Create synthetic progenitor populations with a fraction of single degenerate progenitor systems 0.05 ≤ fSD ≤ 0.6 in 0.05 intervals and random lines of sight with respect to the binary’s geometry. • We need 1000 detections within 1 day in 2 filters at a SNR ≥ 7 Science-Driven Optimization of the LSST Observing Strategy The LSST Science Collaborations (Marshall+ 2017)
depth per visit (mag) Single filter gap (days) area (sq deg) u g r i z Y 104 102 103 10 26 20 23 0 20 10 Dan Scolnic with Kessler, Biswas, Jha, Hložek, DESC SNWG Scolnic+ 2017 ApJ 852,1 Minion1016
gap (days) area (sq deg) u g r i z Y 104 102 103 10 26 20 23 0 20 10 Dan Scolnic with Kessler, Biswas, Jha, Hložek, DESC SNWG Scolnic+ 2017 ApJ 852,1 Minion1016 LSST compared to other SN-relevant surveys
depth per visit (mag) Single filter gap (days) area (sq deg) u g r i z Y 104 102 103 10 26 20 23 0 20 10 Dan Scolnic with Kessler, Biswas, Jha, Hložek, DESC SNWG Scolnic+ 2017 ApJ 852,1 Rolling cadence
the cadence? What coordinates (galactic vs extragalactic)? Current cadence current plan: 1 DDF/night, 5 filters, total~1hr few DDFs/night ~10-15min each nightly or every other night Sarah Jha, LSST-DESC
this! especially if you are an LSST data rights holder… join an LSST Science Collaboration! Galaxies Michael Cooper (UC Irvine) Brant Robertson (University of California, Santa Cruz) Stars, Milky Way, and Local Volume John Bochanski (Rider University) John Gizis (University of Delaware) Nitya Jacob Kallivayalil(University of Virginia) Solar System Megan Schwamb (Gemini Observatory, Northern Operations Center) David Trilling (Northern Arizona University) Dark Energy Eric Gawiser (Rutgers The State University of New Jersey) Phil Marshall (KIPAC) Active Galactic Nuclei Niel Brandt (Pennsylvania State University) Transients and variable stars Federica Bianco (New York University) Rachel Street (LCO) Strong Lensing Charles Keeton (Rutgers-The State University of New Jersey) Aprajita Verma (Oxford University) Informatics and Statistics Tom Loredo (Cornell University) Chad Schafer (Carnegie Mellon University) Currently there are 8 SCs ranging in size from ~1000 to ~50 members.
California: 174 Washington: 88 Pennsylvania: 63 SC over 100 members, membership across the world Good News! You can still change all this! especially if you are an LSST data rights holder… join an LSST Science Collaboration!
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