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The SN Ia Rate In 0.5<z<0.9 Clusters Keren Sharon Tel Aviv University Avishay Gal-Yam, Dani Maoz, Alex Filippenko, Ryan Foley, Jeff Silverman, Harald Ebeling, C.J. Ma, Eran Ofek, Megan Donahue, Richard Ellis,Robert Kirshner, Thomas Matheson, John Mulchaey, Vicki Sarajedini, Mark Voit

The SN Ia Rate In 0.5

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The SN Ia Rate In 0.5

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Page 1: The SN Ia Rate In 0.5

The SN Ia Rate In0.5<z<0.9 ClustersThe SN Ia Rate In

0.5<z<0.9 Clusters

Keren Sharon

Tel Aviv University

Keren Sharon

Tel Aviv University

Avishay Gal-Yam, Dani Maoz, Alex Filippenko, Ryan Foley, Jeff Silverman, Harald Ebeling, C.J. Ma, Eran Ofek, Megan Donahue, Richard Ellis,Robert Kirshner, Thomas Matheson, John Mulchaey, Vicki Sarajedini, Mark Voit

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Gal-Yam et al. (2002)

Sharon et al. (2007)Mannucci et al. (2007)

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Overview

15 Clusters at 0.5< z <0.9 HST imaging (PI Gal-Yam)

Follow-up & luminosity from ground (@Keck, Palomar, Subaru)

Found ~10 cluster candidates

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The Cluster Sample0.5>z>0.9

x-ray luminous

Were previously observed by HST/ACS 1 epoch for free

Figure: redshift distribution

Lx distribution of MACS clusters,

Ebeling et al. (2007)

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The Cluster Sample Cluster z

MACS0911 0.504MACS2214 0.504MACS0257 0.506MACS0018 0.540 (aka CL0016) MACS1149 0.544MACS1423 0.545MACS0717 0.548 MACS0454 0.550 (aka MS0451) MACS2129 0.570MACS0647 0.584SDSS1004 0.680MACS0744 0.686MS1054 0.830CL0152 0.831CL1226 0.888

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HST imaging

Epoch 1: Archival, ≥1 orbit in I814 or i775(and additional bands for some clusters)

Epoch 2: cycle 14, 1 orbit/cluster (4x~500s)

Epoch 3: cycle 15, 1 orbit/cluster (but 6 clusters not observed due to ACS’ untimely death)

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Search

Promptly after observation

Image subtraction

All by human (i.e., me )

Total search area:340 arcmin2

37 candidates

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Hosts Redshifts

Keck Sprctroscopy w/ LRIS or DEIMOS

1’’ Longslit / multislit mask

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Spectra examples

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Hosts Redshifts

Keck Sprctroscopy w/ LRIS or DEIMOS1’’ Longslit / multislit mask

9* hosts @cluster z (*one via sdss photo-z)2 hostless8 BG8 FG3 AGN7 ???

8-16 cluster events (?)

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SN Candidates – examples1. cluster events

z=0.55

z=0.54

z=0.89 z=0.83

z=0.55

z=0.83

4.4’’

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SN Candidates – examples2. field events

z=0.87(bg)

z=0.49(fg)

z=0.23(fg) z=0.62(bg)

z=0.75(bg)

z=0.58(bg)

4.4’’

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SN Candidates – examples3. hostless

Cluster z=0.504

Cluster z=0.570

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Numbers to rates:

iibandiLt

SNeRateSN

,

#

Sum over all images Control time

Cluster stellar-luminosity enclosed in search area

*

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Stellar Luminosity

Subaru photometry in BVRIz’ (Ebeling et al.)

0.5x0.5 deg centered on cluster

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Stellar Luminosity

Subaru photometry in BVRIz’ (Ebeling et al.)

0.5x0.5 deg centered on cluster

Star / galaxy separation light profile / half-light radius scales with

magnitude stars and other point sources populate a well-defined locus in this plot, and can be separated from galaxies.

● MU_MAX = peak surface brightness above the background level. (SExtractor)

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Stellar Luminosity

Subaru photometry in BVRIz’ (Ebeling et al.)

0.5x0.5 deg centered on clusterStar / galaxy separation

Net flux inside search area = total flux in area – sky flux density x area ‘cluster SED’

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Stellar Luminosity

(E Spec. Template: Kinney et al. 1996)

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Stellar Luminosity

(Spec. Template: Kinney et al. 1996)

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Stellar Luminosity

(Spec. Template: Kinney et al. 1996)

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Stellar Luminosity

(Spec. Template: Kinney et al. 1996)

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Stellar Luminosity

Convert VRIz’ to restframe B / g

Correct for faint end of luminosity function, due to magnitude limit (usually m~25)

Results: enclosed B-band stellar luminosity, typically ~ 2-5 x1012 LB

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Numbers to rates:

iibandiLt

SNeRateSN

,

#

Sum over all images Control time

Cluster stellar-luminosity enclosed in search area

*

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Search Efficiency Simulations

>120 Fake SNe were blindly added to each image

Reduction and search as in real data

Recovery rate noted as function of magnitude

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Search Efficiency Simulations

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Search Efficiency Simulations

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Uncertainties

Statistical: Poisson errors of order 30%

Systematic: rate estimated many times by Monte-Carlo simulation, drawing:

Stretch factor from Sullivan et al. (2006)Luminosity, efficiency from their distributions (e.g., see Sharon et al. 2007)

Classification uncertainty (in progress)

Page 28: The SN Ia Rate In 0.5

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Results

Gal-Yam et al. (2002)

Sharon et al. (2007)Mannucci et al. (2008)

SNuB ~ 0.5 SNe/(100yr 1010 LB)

SNuM ~ 0.12 SNe/(100yr 1010 M)

PRELIMINARY