LSST Transients and Variable Stars Science Collaboration

an intro to the Transients and Variable Stars Science Collaboration of the Large Synoptic Survey Telescope (LSST)

Transcript

1. Transients and Variable LSST sky federica b. bianco, NYU The Transient and Variable Stars LSST Collaborations @fedhere fedhere
2. federica bianco NYU Atacama Desert, Cerro Pachon
3. federica bianco NYU effective aperture of 6.7 m FoV 9.6 deg2 large etendue (collecting area x FoV) 2022-2032
4. federica bianco NYU effective aperture of 6.7 m FoV 9.6 deg2 large etendue (collecting area x FoV) Wide-Deep-Fast 2022-2032
5. federica bianco NYU effective aperture of 6.7 m FoV 9.6 deg2 large etendue (collecting area x FoV) 2022-2032 Wide-Deep-Fast cover large swaths of sky
6. federica bianco NYU effective aperture of 6.7 m FoV 9.6 deg2 large etendue (collecting area x FoV) 2022-2032 Wide-Deep-Fast cover large swaths of sky to faint magnitudes
7. federica bianco NYU effective aperture of 6.7 m FoV 9.6 deg2 large etendue (collecting area x FoV) 2022-2032 Wide-Deep-Fast cover large swaths of sky to faint magnitudes in a short amount of time
8. federica bianco NYU Innovative Optical Design
9. federica bianco NYU LSST 8.4m diameter Gemini South 8m diameter 0.2 deg2 MIRROR: FIELD OF VIEW: 9.6 deg2
10. federica bianco NYU
11. federica bianco NYU 3.2 Gigapixels
12. federica bianco NYU The LSST Data Stream
13. federica bianco NYU each night is 30TB data ▪ 30 Terabytes: 1,500,000 trees made into paper and printed; The LSST Data Stream
14. federica bianco NYU each night is 30TB data ▪ 30 Terabytes: 1,500,000 trees made into paper and printed; #OPENDATA #OPENSCIENCE The LSST Data Stream
15. federica bianco NYU each night is 30TB data At 1Gbps, 30TB would take 67 hours to download the LSST data
16. federica bianco NYU time... in seconds
18. federica bianco NYU The LSST Science
19. federica bianco NYU A stream of 1-10 million time-domain events per night, detected and transmitted within 60 seconds of observation. A catalog of orbits for 6 million bodies in the Solar System. A catalog of 37 billion objects: 20B galaxies, 17B stars characterized in shape, color, and variability. High resolution deep stacks that will allow measure weak lensing.
20. federica bianco NYU Dark energy and dark matter (via measurements 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
21. federica bianco NYU Dark energy and dark matter (via measurements 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 moving objects Science Drivers all relevant to trasients + variable Universe!
22. federica bianco NYU WFD: a pair of images per field, repeated twice/night. ~85% of the observing time DeepDrilling fields: a pair of images per field, repeated >twice/night >1 band 5-10 DD fields Galactic plane survey South Celestial Cap Northern Ecliptic Survey Strategy
23. federica bianco NYU
24. federica bianco NYU https://tvs.science.lsst.org/home Ashish Mahabal Federica Bianco Transients & Variable Stars collaboration co-chairs
25. federica bianco NYU
26. federica bianco NYU Nearly 160 members! Each member declares a primary affiliation and up to 3 secondary affiliations
27. federica bianco NYU
28. federica bianco NYU
29. federica bianco NYU different variable and transient phenomena benefit from different observing strategies our group is working to reconcile the differences & understand the existing tensions & overlap AGNs supernovae LBVs Roadmapping LSST to success
30. federica bianco NYU The Time is Now! we need a science based evalution of the baseline LSST observing strategy and its variants Observing Strategy White Paper Secion 1.2
31. federica bianco NYU The success of TRANSIENTS & VARIABLES related science is tied to cadence choices
32. federica bianco NYU TVS ROADMAPPING MEETING
33. federica bianco NYU http://www.slac.stanford.edu/~digel/ObservingStrategy/whitepaper/LSST_Observing_Strategy_White_Paper.pdf https://github.com/LSSTScienceCollaborations/ObservingStrategy OBSERVING STRATEGY WHITE PAPER
34. federica bianco NYU how to contribute we need a science based evalution of the baseline LSST observing strategy and its variants Observing Strategy White Paper Secion 1.2
35. federica bianco NYU OpSim LSST developed operation simulations (A. Connoly) LSST simulates Observing Strategies
36. federica bianco NYU OpSim LSST developed operation simulations (A. Connoly) LSST simulates Observing Strategies MAF API Metric Analysis Framework (Peter Yoachim, Lynne Jones) https://github.com/LSST-nonproject/
37. federica bianco NYU OpSim LSST developed operation simulations (A. Connoly) MAF API Metric Analysis Framework (Peter Yoachim, Lynne Jones) SN Alert Fraction 0.6 0.0
38. federica bianco NYU Median Intra-Night Gap in hours Any Filter Median Intra-Night Gap in hours Any Filter r band r band Median Inter-Night Gap in days Median Inter-Night Gap in days
39. federica bianco NYU transients and variables from the Observing Strategy White Paper preliminary results
40. federica bianco NYU E. Bellm
41. federica bianco NYU Tensions: color or sampling? (SN/GW vs GRB) dense sampling or duration? (SN vs TDE) Rolling cadence? ToO? different variable and transient phenomena benefit from different observing strategies our group is working to reconcile the differences & understand the existing tensions & overlap
42. federica bianco NYU
43. federica bianco NYU
44. federica bianco NYU
45. federica bianco NYU
46. federica bianco NYU Non-Time-Critical
47. federica bianco NYU days to peak days to peak flux (units of peak flux) Olling+ 15 Marion+ 15 flux (units of peak flux) constraint RG progenitor systems to <20% (Bianco+ 2012, 3 year of SNLS data) LSST 3 month -> 1%
48. federica bianco NYU days to peak days to peak flux (units of peak flux) Olling+ 15 Marion+ 15 constraint RG progenitor systems to <20% (Bianco+ 2012, 3 year of SNLS data) LSST 3 month -> 1% also: shock breakout, IIB double peaks flux (units of peak flux)
49. federica bianco NYU
50. federica bianco NYU
51. federica bianco NYU Time-Critical: CLASSIFICATION: young/old FAST TRANSIENTS: GRB GW: counterpart discovery
52. federica bianco NYU
53. federica bianco NYU Days since explosion Gap between observations
54. federica bianco NYU
55. federica bianco NYU require 2 observations in 1 week after GW detection (Coperthwaite & Berger 2015) Median Intra-Night Gap in hours r band
56. federica bianco NYU
57. federica bianco NYU Deep Drilling Field
58. federica bianco NYU Deep Drilling Field Wide Deep Fast
59. federica bianco NYU Transients Classification challenge
60. federica bianco NYU Transients Classification challenge in 2009 Kessler+ issued s SN classification challenge.
61. federica bianco NYU things that happened since 2009 Ipad April 2010 04/21/2016 instagram 2010
62. federica bianco NYU we have learned a lot since 2010!
63. federica bianco NYU Michelle Lochner+ 2016 Anais Moller+ 2016 Gautham Narayan, Tom Matheson working on ANTARES Kevian Stussen @Vanderbilt working on classifiers
64. federica bianco NYU Transients Classification challenge SNLS, SDSSII CSP Time for a NEW TRANSIENT CHALLENGE! with more data and incorporating recent advances in ML and this is one of the TVS projects
65. federica bianco NYU