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NAOKI YASUDA, MAMORU DOI (UTOKYO), AND TOMOKI MOROKUMA (NAOJ) SN Survey with HSC.

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Presentation on theme: "NAOKI YASUDA, MAMORU DOI (UTOKYO), AND TOMOKI MOROKUMA (NAOJ) SN Survey with HSC."— Presentation transcript:

1 NAOKI YASUDA, MAMORU DOI (UTOKYO), AND TOMOKI MOROKUMA (NAOJ) SN Survey with HSC

2 SN Ia as standard candle Very bright (M B ~-19.3)  Observable at cosmological distances (z~1.5) Light-curve shape (  m 15, stretch) / luminosity relation  Broader light-curve -> intrinsically brighter  Accurate to ~7% Accelerated expansion of the Universe

3 Luminosity Normalization Jha 2002 Astier et al. 2006

4 Reiss et al. (2007)

5 Complementarities Constraints from SN Ia is complementary to the constraints from LSS Independent attempt is important Astier et al. 2006

6 SN Ia progenitors Sullivan et al. (2006) SN Ia rate as a function of SFR of host galaxies Two components  SN rate proportional to SFR and stellar mass Light curve shapes depend on host galaxies Sullivan et al. 2006  Bright Faint  PromptDelayed

7 ESA-ESO Working Groups : Fundamental Cosmology (2006) List of SN Survey

8 Advantage of HSC Large aperture  Other SN surveys except for LSST use 4m telescopes  SN Ia samples are limited to z<0.9  Extend to z~1.2 Wide field  1FoV is comparable to survey area of SNLS High sensitivity in red bands (z-, Y-band)  Most energy of SN Ia @ z=1 fall in i-, z-, and Y-band

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12 Advantage of HSC Large aperture  Other SN surveys except for LSST use 4m telescopes  SN Ia samples are limited to z<0.9  Extend to z~1.2 Wide field  1FoV is comparable to survey area of SNLS High sensitivity in red bands (z-, Y-band)  Most energy of SN Ia @ z=1 fall in i-, z-, and Y-band 1,000 SNe @ z=0.6-1.2 from 4FoV and 4month duration observation

13 Performance of Subaru/Suprime-Cam Number of candidates  i < 25mag 1 month separation  20-30 SNe / deg 2 / month  1,000 SNe / 4FoV / 3months Photometry  Good enough for light-curve fitting for SNe @ z~1  Comparable to HST photometry Oda et al. (2007)

14 Proposal 1,000 SN Ia @ z = 0.6-1.2 combined with previous surveys Expanding history of the Universe  Limit on the time variation of dark energy SN Ia rate and its environmental effect, evolution  Clue to the progenitor of SN Ia  Two evolutionary channel?

15 Observing Strategy “Multi-color rolling search”  Observe the same field repeatedly with multi colors  Maximum brightness  photometric typing / redshift  Not enough facilities for spectroscopy 5nights (every 5 days) x 4months x 2 in (r,)i,z, and Y-bands: ~1000 SN light curves Most SNe are observable over 2months

16 Comparison with on-going SN Surveys SDSS-II : ~60nights/yr x 3yrs (2.5m)0.1 < z < 0.3 SNLS : ~60nights/yr x 5yrs (3.6m)0.3 < z < 0.8 HSC : ~40nights/yr x 1yr (8.2m)0.6 < z < 1.2  1,000 SNe from 4FoV, 4months  Much cheaper than HST

17 Sample Observation Plan

18 Photometric typing / redshift Fitting to multi-epoch spectral templates Typing  ~90% of SN Ia candidates are confirmed spectroscopically from the data of a few epochs (SDSS-II) -> details in Ihara’s talk Redshift   z/(1+z) ~ 2-3% (SNLS) Guy et al. 2007

19 Photometric Redshift Simulation  Cosmology :  M = 0.3,   = 0.7, w = -1, w’ = 0.0  1hour exposures of i-, z-, and Y-band at (-8, -3, 0, +3, +8) days from new moon over 3months  Stretch parameter : 0.96 +/- 0.11 (Max magnitude : +/- 0.2)  Explosion time : from -15 days to +15 days  Color is fixed to 0.0 : same intrinsic color and no extinction  Redshift : 0.8, 0.9, 1.0, 1.1, and 1.2 Photo-z by light curve fitting program (SALT)  SALT is developed for SNLS analysis

20 Photo-z Results

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25 Offset of mean value  Difference of spectral templates between light curve simulation (Hsiao template) and light curve fitting program (SALT)? Dispersion   z/(1+z) ~ 1-2% Catastrophic errors  Misidentification of colors  Degeneracy due to wavy feature of SNe spectrum?

26 Cosmology Errors on  M and w reduce by a factor of 2 Area encircled reduce by a factor of 2 Contour : 1 

27 Cosmology Systematic error due to photo-z error Contour : 1 

28 Cosmology Redshift should be determined well below 1% level  Difficult only with photometric information Need spectroscopic information  Combine with photo-z of host galaxies?  Different error properties are expected  Slitless (Grism) spectroscopy?  High sky noise  More observing time  Spectroscopy of host galaxies  Need large observing time  Only for elliptical hosts (no extinction)?

29 SN Ia rate, progenitor, … Do not need very accurate redshift Correlation with host galaxy  Brighter SNe are in later spirals SN rate  Two component model Proportional to  SFR  Stellar mass Two evolutional path Effect on chemical evolution Neill et al. 2007

30 Summary HSC can detect ~1000 SNe with reasonable observing time (~40 nights). Photometric Redshift can be determined to 1-2% level. For cosmology we need more accurate redshift. Nature of SNe Ia and their evolution can be explored with large sample.


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