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Draft version 2015/12/16
Preprint typeset using LATEX style emulateapj v. 5/2/11
D´EJ`A VU ALL OVER AGAIN: THE REAPPEARANCE OF SUPERNOVA REFSDAL
P. L. Kelly1
, S. A. Rodney2,
, T. Treu3,4
, L.-G. Strolger5
, R. J. Foley6,7
, S. W. Jha8
, J. Selsing9
, G. Brammer5
,
M. Bradaˇc10
, S. B. Cenko11,12
, O. Graur13,14
, A. V. Filippenko1
, J. Hjorth9
, C. McCully15,16
, A. Molino17,18
,
M. Nonino19
, A. G. Riess20,5
, K. B. Schmidt16,21
, B. Tucker22
, A. von der Linden23
, B. J. Weiner24
, and
A. Zitrin25,26
Draft version 2015/12/16
ABSTRACT
In Hubble Space Telescope (HST) imaging taken on 10 November 2014, four images of supernova
(SN) ‘Refsdal’ (z = 1.49) appeared in an Einstein-cross–like configuration (images S1–S4) around an
early-type galaxy in the cluster MACS J1149.5+2223 (z = 0.54). The gravitational potential of the
cluster creates three full images of the star-forming host galaxy of the SN. Almost all lens models of the
cluster have predicted that the SN should reappear within approximately one year in a second host-
galaxy image, o↵set by ⇠800
from the previous images. In HST observations taken on 11 December
2015, we find a new source that we interpret as a new image of SN Refsdal. This marks the first
time the appearance of a SN at a particular time and location in the sky was successfully predicted
in advance! We use these data and the light curve from the first four observed images of SN Refsdal
to place constraints on the relative time delay and magnification of the new image (SX), compared to
images S1–S4. This enables us, for the first time, to test lens model predictions of both magnifications
and time delays for a lensed SN. We find that the timing and brightness of the new image are consistent
with the blind predictions of a fraction of the models. The reappearance illustrates the discriminatory
power of this blind test and its utility to uncover sources of systematic uncertainty in the lens models.
From planned HST photometry, we expect to reach a precision of 1–2% on the relative time delay
between S1–S4 and SX.
Subject headings: gravitational lensing: strong, supernovae: general, individual: SN Refsdal, galaxies:
clusters: general, individual: MACS J1149.5+2223
pkelly@astro.berkeley.edu
1 Department of Astronomy, University of California, Berke-
ley, CA 94720-3411, USA
2 Department of Physics and Astronomy, University of South
Carolina, 712 Main St., Columbia, SC 29208, USA
3 Department of Physics and Astronomy, University of Cali-
fornia, Los Angeles, CA 90095
4 Packard Fellow
5 Space Telescope Science Institute, 3700 San Martin Dr., Bal-
timore, MD 21218, USA
6 Department of Physics, University of Illinois at Urbana-
Champaign, 1110 W. Green Street, Urbana, IL 61801, USA
7 Astronomy Department, University of Illinois at Urbana-
Champaign, 1002 W. Green Street, Urbana, IL 61801, USA
8 Department of Physics and Astronomy, Rutgers, The State
University of New Jersey, Piscataway, NJ 08854, USA
9 Dark Cosmology Centre, Niels Bohr Institute, University of
Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen, Den-
mark
10 University of California Davis, 1 Shields Avenue, Davis, CA
95616
11 Astrophysics Science Division, NASA Goddard Space Flight
Center, MC 661, Greenbelt, MD 20771, USA
12 Joint Space-Science Institute, University of Maryland, Col-
lege Park, MD 20742, USA
13 Center for Cosmology and Particle Physics, New York Uni-
versity, New York, NY 10003, USA
14 Department of Astrophysics, American Museum of Natu-
ral History, Central Park West and 79th Street, New York, NY
10024, USA
15 Las Cumbres Observatory Global Telescope Network, 6740
Cortona Dr., Suite 102, Goleta, California 93117, USA
16 Department of Physics, University of California, Santa Bar-
bara, CA 93106-9530, USA
17 Instituto de Astrof´ısica de Andaluc´ıa (CSIC), E-18080
Granada, Spain
18 Instituto de Astronomia, Geof´ısica e Ciˆencias Atmosf´ericas,
Universidade de S˜ao Paulo, Cidade Universit´aria, 05508-090, S˜ao
Paulo, Brazil
19 INAF, Osservatorio Astronomico di Bologna, via Ranzani
1, I-40127 Bologna, Italy
20 Department of Physics and Astronomy, The Johns Hopkins
University, 3400 N. Charles St., Baltimore, MD 21218, USA
21 Leibniz-Institut f¨ur Astrophysik Potsdam (AIP), An der
Sternwarte 16, 14482 Potsdam, Germany
22 The Research School of Astronomy and Astrophysics, Aus-
tralian National University, Mount Stromlo Observatory, via
Cotter Road, Weston Creek, Australian Capital Territory 2611,
Australia
23 Physics and Astronomy Department, Stony Brook Univer-
sity, Stony Brook, NY 11794-3800
24 Department of Astronomy, University of Arizona, Tucson,
AZ 85721, USA
25 California Institute of Technology, 1200 East California
Boulevard, Pasadena, CA 91125
arXiv:1512.04654v1[astro-ph.CO]15Dec2015
2
1. INTRODUCTION
Background sources strongly lensed by galaxies and
galaxy clusters that show flux variations in time can be
used as powerful probes, because they make it possible to
measure the relative time delays between their multiple
images. As Refsdal (1964) first suggested, time delays
are useful, because they depend sensitively on both the
cosmic expansion rate as well as the gravitational po-
tential of the lens. While the positions of the images of
lensed galaxies depend on the derivative of the potential,
time delays are directly proportional to di↵erences in the
potential.
Refsdal (1964) examined the utility of time-delay mea-
surements from a multiply imaged supernova, but a
strongly lensed SN with multiple resolved images was
not found in the following five decades. Several SN with
significant lensing magnifications have been observed be-
hind galaxy clusters (Goobar et al. 2009; Patel et al.
2014a; Nordin et al. 2014; Rodney et al. 2015), though
none has been close enough to the cluster core to be mul-
tiply imaged. In a similar case with a galaxy-scale lens,
Chornock et al. (2013) discovered a bright H-poor SN at
redshift z = 1.38, which was later shown to be a strongly
lensed SN (Quimby et al. 2013, 2014), but multiple im-
ages could not be identified.
Although strongly lensed SN have eluded detection for
50 years, the discovery of multiply imaged quasars be-
ginning in the 1970’s (Walsh et al. 1979) has made it
possible to measure time delays for more than twenty
systems (see, e.g., Kundic et al. 1997; Fassnacht et al.
1999; Tewes et al. 2013). For a subset of multiply im-
aged quasars with simple, early-type galaxy lenses, it has
been possible to precisely predict the delay arising from
the potential and thereby to measure an absolute dis-
tance scale and H0 geometrically (e.g., Paraficz & Hjorth
2010; Suyu et al. 2013, 2014). Although they are more
di cult to find, strongly lensed SN hold great promise
as tools for time delay cosmography (Kolatt & Bartel-
mann 1998; Holz 2001; Bolton & Burles 2003; Oguri &
Kawano 2003). Relative to quasars, a SN light curve is
comparatively simple, and, for SN Ia (Phillips 1993) and
some SN IIP (e.g., Kirshner & Kwan 1974), the peak lu-
minosity can be calibrated absolutely, thus providing a
measurement of lensing magnification.
Kelly et al. (2015) reported the discovery of SN Refsdal,
the first strongly lensed SN resolved into multiple im-
ages, in the MACS J1149.5+2223 (Ebeling et al. 2001,
2007) galaxy cluster field on 11 November 2014 in Hub-
ble Space Telescope (HST) images collected as part of
the Grism Lens-Amplified Survey from Space (GLASS;
PI: Treu; GO-13459; Schmidt et al. 2014; Treu et al.
2015b). Those exposures revealed four resolved images
of the background SN, arranged in an Einstein cross con-
figuration around an elliptical cluster member. Models
of the complex potential of the galaxy cluster and early-
type galaxy lens suggest that three of the four images are
magnified by up to a factor of ⇠10–20 (Kelly et al. 2015;
Oguri 2015; Sharon & Johnson 2015; Diego et al. 2015;
Grillo et al. 2015; Jauzac et al. 2015; Kawamata et al.
2015; Treu et al. 2015a).
In addition to the Einstein-Cross–like configuration
caused primarily by the galaxy-scale lens, SN Refsdal is
also being strongly lensed by the gravitational poten-
tial of the MACS J1149.5+2223 cluster. This larger lens
produces multiple images of the SN Refsdal host galaxy
(Smith et al. 2009; Zitrin & Broadhurst 2009). Lens
models produced soon after the SN discovery consistently
predicted that a fifth image of SN Refsdal should appear
within several years in another image of the host, approx-
imately 800
from images S1–S4 (Kelly et al. 2015; Oguri
2015; Sharon & Johnson 2015; Diego et al. 2015). We
adopt the identifier ‘SX’ for this new image, following
Oguri (2015). In these models, the galaxy-cluster gravi-
tational potential is constrained by varying combinations
of strong-lensing constraints, including the positions and
redshifts of multiply imaged background galaxies, the po-
sitions of the SN Refsdal images S1–S4, and locations of
bright clumps within SN Refsdal’s host galaxy. The po-
tential (or surface mass density) is also parameterized
in a variety of ways, often using the positions or light
distributions of cluster galaxies as constraints.
Given the complexity of the cluster potential, it is
unlikely that measurement of time delays between the
SN Refsdal images can be used for precision cosmology,
as suggested by Refsdal (1964). However, if one adopts
a fixed set of cosmological parameters, then time delays
and magnification ratios can be used to measure the dif-
ference in the potential and its derivatives between the
positions of multiple images, thus providing a powerful
local test of lens models.
To sharpen this test, several lens modeling teams have
refined their predictions for the relative time delay and
magnification of image SX. Treu et al. (2015a) identi-
fied an improved set of multiply imaged galaxies using
additional data collected after the discovery of the SN.
Systems were discovered or confirmed from HST WFC3
G102 and G141 grism spectra (PI: Treu), thirty orbits
of G141 grism spectra taken to determine the spectro-
scopic type of the SN (PI: Kelly; GO-14041; Kelly et
al., in prep.; Brammer et al., in prep.), deep VLT-MUSE
observations (PI: Grillo; Grillo et al. 2015, submitted),
Keck/DEIMOS observations (PI: Jha), as well as Fron-
tier Fields observations of the MACS J1149.5+2223 field
that began shortly after discovery (PI: Lotz; GO-13504).
The spectroscopic data provided 429 spectroscopic red-
shifts in the field of MACSJ1149.5+2223, including 170
spectroscopic cluster members and 23 multiple images
of 10 di↵erent galaxies. With the improved dataset,
Treu et al. (2015a) organized 5 independent lens mod-
eling teams which produced 7 separate predictions for
the time delays. In a parallel e↵ort, Jauzac et al. (2015)
used new Gemini GMOS and part of the VLT-MUSE
data (PI: Grillo), as well as Frontier Fields photometry
to generate improved constraints on the cluser potential
and new predictions for the time delay and magnification
of image SX.
These revised models consistently favor delays of less
than one year, except for the model by Jauzac et al.
(2015). Image SX is also predicted to be significantly
fainter than images S1–S3, by a factor of 3-4. Together
these predictions indicated that image SX could plausi-
bly have been detected as soon as HST could observe
the MACS J1149.5+2223 field beginning on October 30
2015. From late July through late October, it had been
too close to the Sun to be observed. Importantly, all
of these modeling e↵orts were completed before the first
realistic opportunity to detect image SX on October 30
Reappearance of Supernova Refsdal 3
2015, making these truly blind predictions.
Here we present a direct test of these lens model pre-
dictions, as we revisit the MACS J1149.5+2223 field and
identify the appearance of the anticipated fifth image of
SN Refsdal. In this work, Section 2 presents the data
processing and photometry on the new HST images. In
Section 3 we derive joint constraints on the relative time
delay and magnification and compare these to the pub-
lished predictions from the lens modeling community.
We briefly discuss our results in Section 4 and conclude in
Section 5. Throughout this paper, magnitudes are given
in the AB system (Oke & Gunn 1983), and a concor-
dance cosmology is assumed when necessary (⌦m = 0.3,
⌦⇤ = 0.7, H0= 70 km s 1
Mpc 1
).
2. METHODS
We processed the WFC3 imaging data using a pipeline
constructed from the DrizzlePac software tools.26
The
images were resampled to a pixel scale of 0.0600
/pixel us-
ing AstroDrizzle (Fruchter, A. S., et al. 2010) and reg-
istered to a common astrometric frame using TweakReg.
Template images in each band were constructed by com-
bining all available WFC3 IR imaging collected prior to
30 Oct, 2015, comprising observations from the GLASS
program, the Cluster Lensing And Supernova survey
with Hubble (CLASH, GO-12068; PI:M. Postman, Post-
man et al. 2012), the Hubble Frontier Fields (HFF,
DD/GO-13504; PI: J. Lotz), the FrontierSN program
(GO-13790; PI: S. Rodney), and the SN Refsdal Follow-
up program (DD/GO-14041; PI: P. Kelly). We generated
di↵erence images by subtracting these template images
directly from the search epoch images, without applying
any smoothing algorithm (Alard & Lupton 1998), owing
to the excellent stability of the HST point spread func-
tion (PSF).
To measure the SN flux from the di↵erence images, we
used the PythonPhot,27
software package (Jones et al.
2015) which employs a PSF-fitting photometry proce-
dure based on the DAOPHOT algorithm (Stetson 1987).
We measure photometric uncertainties by planting and
recovering 1000 fake stars (copies of the model PSF) in
the vicinity of the SN position.
3. RESULTS
In Figure 1, we present the F125W and F160W images
taken on 11 December 2015 that show a new image of
SN Refsdal in its redshift z = 1.49 host galaxy. The
location of this image SX in J2000 coordinates is R.A.,
Decl. = 11:49:36.02, +22:23:48.1.28
This locates SX at
6.200
North and 3.900
East of image S1. Table 1 reports the
measured fluxes and uncertainties. The upper limits are
measured from the recovery of fake stars. We measure an
F125W - F160W color of 0.2±0.3 for image SX, which is
consistent with that reported for of S1–S4 at discovery.
Figure 2 shows simultaneous constraints on the time
delay and magnification ratio between image S1 discov-
ered in 2014, and the newly discovered image SX, and
comparisons with model predictions from several teams
26 http://drizzlepac.stsci.edu
27 https://github.com/djones1040/PythonPhot
28 The coordinates are registered to the astrometric system used
for the CLASH, GLASS, and HFF images and catalogs http://
www.stsci.edu/hst/campaigns/frontier-fields/
Table 1
Photometry of Image SX
Obs. Date Filter Exp. Time Magnitude
(MJD) (s) (AB)
57325.8 F125W 1259 27.4 ± 0.4
57340.9 F125W 1259 27.3 ± 0.4
57367.1 F125W 1259 26.56 ± 0.16
57325.9 F160W 1159 27.4 ± 0.6
57341.0 F160W 1159 26.29 ± 0.15
57367.1 F160W 1159 26.24 ± 0.16
reported by Treu et al. (2015a), and independent pre-
dictions by Jauzac et al. (2015). In Figure 3, we show
a comparison between the coordinates of the new image
SX and several published model predictions, which shows
a good agreement.
4. DISCUSSION
Lensed SN provide a powerful means to test the ac-
curacy of the lens models of the foreground deflector, or
to provide additional input constraints (e.g. Riehm et al.
2011). Previous tests have been based on SN that are
magnified but not multiply imaged (Patel et al. 2014b;
Nordin et al. 2014). Recently, Rodney et al. (2015) dis-
covered a Type Ia SN magnified by a factor of ⇠2⇥ by a
galaxy-cluster potential, and found that its calibrated lu-
minosity was in tension with some – but not all – models
of the cluster potential.
With SN Refsdal we have for the first time been able
to test predictions for both the lensing time delay as well
as the magnification. This is important because the time
delay depends on the di↵erence in gravitational potential,
while magnification depends on a combination of second
derivatives, and therefore the two observables test dif-
ferent aspects of the potential. In principle, time delays
are much less sensitive than magnification ratios to milli
and microlensing and should therefore be more robustly
predicted.
It is important to keep in mind that all of these tests
are local, and thus a larger sample is needed to assess the
global goodness-of-fit of every model. Nevertheless, these
tests are an extremely valuable probe of systematics. In
fact, as discussed by Treu et al. (2015a), the uncertain-
ties reported by modelers do not include all sources of
systematic errors. For example, systematic uncertain-
ties arising from unmodeled milli-lensing, residual mass-
sheet degeneracy, and multiplane lensing, are very di -
cult to calculate and are thus not included. The lensed-
supernova tests provide estimates of the amplitude of the
unknown uncertainties. Other known sources of errors
are not included either. For example, a 3% uncertainty
on the Hubble constant (Riess et al. 2011) implies a 3%
uncertainty on time delays, i.e. approximately 10 days
for a year-long delay. Furthermore the uncertainties are
typically highly non-Gaussian so that the 95% confidence
interval is not simply twice as wide as the 68% one.
5. CONCLUSIONS
We have detected the reappearance of SN Refsdal in a
di↵erent multiple image of its host galaxy from the one
where the event was originally discovered in 2014. Keep-
ing in mind the caveats given in the previous section,
we can reach two major conclusions. First, SN Refsdal
4
Figure 1. Coadded WFC3-IR F125W and F160W exposures of the MACS J1149.5+2223 galaxy-cluster field taken with HST. Top panel
shows images taken on 11 December 2015 which reveal the new image SX of SN Refsdal. The middle panel shows images taken on 20
April 2015 where the four images forming the Einstein cross are close to maximum brightness, but no flux is evident at the position of SX.
Bottom panel shows images acquired in 2011 without images of the SN.
Reappearance of Supernova Refsdal 5
Figure 2. Simultaneous constraints on the relative time delay between S1 and SX from the measured magnitude of SX. The two-dimensional
contours show the 68% and 95% confidence levels, while the model predictions plot 68% confidence levels. The F160W (approximately
rest-frame R) light curve of SN Refsdal is reasonably well-matched by that of a slowly evolving SN similar to 1987A (Kelly et al., in prep.).
We use separate second-order polynomial fits to the F125W and F160W light curves of image S1 of SN Refsdal as models for the light
curves of SX to compute joint constraints on the time delay and the magnification ratio between S1 and SX, for comparison with model
predictions. Except for the Jauzac et al. (2015) prediction, labels refer to models presented in Treu et al. (2015a). While all other plotted
predictions were made in advance of the HST Cycle 23 observations in Fall 2015, ‘Zitrin-c’ is a post-blind prediction that supercedes the
‘Zitrin-g’ model; in this model the lens galaxy was left to be freely wighted to reassure is critical curves pass between the four Einstein-cross
images. We note that many of the lensing predictions are not Gaussian distributed, and 68% limits do not imply that are necessarily
inconsistent with the measurements. The greater the S1-SX delay, the earlier we currently are in the light curve of SX. The black dashed
line marks the delay beyond which we lack data on the light curve of SN Refsdal. Our model for the light curve at earlier epochs is an
extension of the second-order polynomial.
6
Figure 3. Comparison between the position of image SX and published predictions. Coordinates are overplotted on the combined F125W
and F160W di↵erence image from the 11 December 2015 and template imaging acquired in 2011. The Jauzac et al. (2015) and Grillo et al.
(2015) positions both agree within the rms scatter reported between input and best-fit positions in each paper. An uncertainty was not
available for the Diego et al. (2015) prediction and we show an annulus with a 0.600 radius.
indeed reappeared approximately as predicted, implying
that the unknown systematic uncertainties are not sub-
stantially larger than the random uncertainties, at least
for some models. This is a remarkable and powerful val-
idation of the model predictions specifically and of gen-
eral relativity indirectly. The second conclusion is that
already this first detection provides some discriminatory
power: not all models fare equally well. Grillo-g, Oguri-g,
Oguri-a, and Sharon-a appear to be the ones that match
the observations most closely. In general most models
seem to predict a slightly higher magnification ratio than
observed, or shorter delays. A detailed statistical analy-
sis of the agreement between the model predictions and
the observations will have to wait for the actual mea-
surement of the magnification and time delays, which
will require analysis of the full light curve past its peak
during 2016.
We express our appreciation for the e↵orts of Program
Coordinator Beth Periello and Contact Scientist Norbert
Pirzkal.
Support for the preparation of the paper is from
the HST grant GO-14041. The GLASS program was
supported by GO-13459, and the FrontierSN photo-
metric follow-up has funding through GO-13386. AZ
is supported by Hubble Fellowship (HF2-51334.001-A)
awarded by STScI, which is operated by the Associa-
tion of Universities for Research in Astronomy, Inc., for
NASA, under contract NAS 5-26555. RJF gratefully ac-
knowledges support from NSF grant AST-1518052 and
the Alfred P. Sloan Foundation. AVF’s group at UC
Berkeley has received generous financial assistance from
the Christopher R. Redlich Fund, the TABASGO Foun-
dation, Gary & Cynthia Bengier, and NSF grant AST-
1211916. This supernova research at Rutgers University
is supported by NSF CAREER award AST-0847157, and
NASA/Keck JPL RSA 1508337 and 1520634 to SWJ.
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  • 1. Draft version 2015/12/16 Preprint typeset using LATEX style emulateapj v. 5/2/11 D´EJ`A VU ALL OVER AGAIN: THE REAPPEARANCE OF SUPERNOVA REFSDAL P. L. Kelly1 , S. A. Rodney2, , T. Treu3,4 , L.-G. Strolger5 , R. J. Foley6,7 , S. W. Jha8 , J. Selsing9 , G. Brammer5 , M. Bradaˇc10 , S. B. Cenko11,12 , O. Graur13,14 , A. V. Filippenko1 , J. Hjorth9 , C. McCully15,16 , A. Molino17,18 , M. Nonino19 , A. G. Riess20,5 , K. B. Schmidt16,21 , B. Tucker22 , A. von der Linden23 , B. J. Weiner24 , and A. Zitrin25,26 Draft version 2015/12/16 ABSTRACT In Hubble Space Telescope (HST) imaging taken on 10 November 2014, four images of supernova (SN) ‘Refsdal’ (z = 1.49) appeared in an Einstein-cross–like configuration (images S1–S4) around an early-type galaxy in the cluster MACS J1149.5+2223 (z = 0.54). The gravitational potential of the cluster creates three full images of the star-forming host galaxy of the SN. Almost all lens models of the cluster have predicted that the SN should reappear within approximately one year in a second host- galaxy image, o↵set by ⇠800 from the previous images. In HST observations taken on 11 December 2015, we find a new source that we interpret as a new image of SN Refsdal. This marks the first time the appearance of a SN at a particular time and location in the sky was successfully predicted in advance! We use these data and the light curve from the first four observed images of SN Refsdal to place constraints on the relative time delay and magnification of the new image (SX), compared to images S1–S4. This enables us, for the first time, to test lens model predictions of both magnifications and time delays for a lensed SN. We find that the timing and brightness of the new image are consistent with the blind predictions of a fraction of the models. The reappearance illustrates the discriminatory power of this blind test and its utility to uncover sources of systematic uncertainty in the lens models. From planned HST photometry, we expect to reach a precision of 1–2% on the relative time delay between S1–S4 and SX. Subject headings: gravitational lensing: strong, supernovae: general, individual: SN Refsdal, galaxies: clusters: general, individual: MACS J1149.5+2223 pkelly@astro.berkeley.edu 1 Department of Astronomy, University of California, Berke- ley, CA 94720-3411, USA 2 Department of Physics and Astronomy, University of South Carolina, 712 Main St., Columbia, SC 29208, USA 3 Department of Physics and Astronomy, University of Cali- fornia, Los Angeles, CA 90095 4 Packard Fellow 5 Space Telescope Science Institute, 3700 San Martin Dr., Bal- timore, MD 21218, USA 6 Department of Physics, University of Illinois at Urbana- Champaign, 1110 W. Green Street, Urbana, IL 61801, USA 7 Astronomy Department, University of Illinois at Urbana- Champaign, 1002 W. Green Street, Urbana, IL 61801, USA 8 Department of Physics and Astronomy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA 9 Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen, Den- mark 10 University of California Davis, 1 Shields Avenue, Davis, CA 95616 11 Astrophysics Science Division, NASA Goddard Space Flight Center, MC 661, Greenbelt, MD 20771, USA 12 Joint Space-Science Institute, University of Maryland, Col- lege Park, MD 20742, USA 13 Center for Cosmology and Particle Physics, New York Uni- versity, New York, NY 10003, USA 14 Department of Astrophysics, American Museum of Natu- ral History, Central Park West and 79th Street, New York, NY 10024, USA 15 Las Cumbres Observatory Global Telescope Network, 6740 Cortona Dr., Suite 102, Goleta, California 93117, USA 16 Department of Physics, University of California, Santa Bar- bara, CA 93106-9530, USA 17 Instituto de Astrof´ısica de Andaluc´ıa (CSIC), E-18080 Granada, Spain 18 Instituto de Astronomia, Geof´ısica e Ciˆencias Atmosf´ericas, Universidade de S˜ao Paulo, Cidade Universit´aria, 05508-090, S˜ao Paulo, Brazil 19 INAF, Osservatorio Astronomico di Bologna, via Ranzani 1, I-40127 Bologna, Italy 20 Department of Physics and Astronomy, The Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA 21 Leibniz-Institut f¨ur Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany 22 The Research School of Astronomy and Astrophysics, Aus- tralian National University, Mount Stromlo Observatory, via Cotter Road, Weston Creek, Australian Capital Territory 2611, Australia 23 Physics and Astronomy Department, Stony Brook Univer- sity, Stony Brook, NY 11794-3800 24 Department of Astronomy, University of Arizona, Tucson, AZ 85721, USA 25 California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 arXiv:1512.04654v1[astro-ph.CO]15Dec2015
  • 2. 2 1. INTRODUCTION Background sources strongly lensed by galaxies and galaxy clusters that show flux variations in time can be used as powerful probes, because they make it possible to measure the relative time delays between their multiple images. As Refsdal (1964) first suggested, time delays are useful, because they depend sensitively on both the cosmic expansion rate as well as the gravitational po- tential of the lens. While the positions of the images of lensed galaxies depend on the derivative of the potential, time delays are directly proportional to di↵erences in the potential. Refsdal (1964) examined the utility of time-delay mea- surements from a multiply imaged supernova, but a strongly lensed SN with multiple resolved images was not found in the following five decades. Several SN with significant lensing magnifications have been observed be- hind galaxy clusters (Goobar et al. 2009; Patel et al. 2014a; Nordin et al. 2014; Rodney et al. 2015), though none has been close enough to the cluster core to be mul- tiply imaged. In a similar case with a galaxy-scale lens, Chornock et al. (2013) discovered a bright H-poor SN at redshift z = 1.38, which was later shown to be a strongly lensed SN (Quimby et al. 2013, 2014), but multiple im- ages could not be identified. Although strongly lensed SN have eluded detection for 50 years, the discovery of multiply imaged quasars be- ginning in the 1970’s (Walsh et al. 1979) has made it possible to measure time delays for more than twenty systems (see, e.g., Kundic et al. 1997; Fassnacht et al. 1999; Tewes et al. 2013). For a subset of multiply im- aged quasars with simple, early-type galaxy lenses, it has been possible to precisely predict the delay arising from the potential and thereby to measure an absolute dis- tance scale and H0 geometrically (e.g., Paraficz & Hjorth 2010; Suyu et al. 2013, 2014). Although they are more di cult to find, strongly lensed SN hold great promise as tools for time delay cosmography (Kolatt & Bartel- mann 1998; Holz 2001; Bolton & Burles 2003; Oguri & Kawano 2003). Relative to quasars, a SN light curve is comparatively simple, and, for SN Ia (Phillips 1993) and some SN IIP (e.g., Kirshner & Kwan 1974), the peak lu- minosity can be calibrated absolutely, thus providing a measurement of lensing magnification. Kelly et al. (2015) reported the discovery of SN Refsdal, the first strongly lensed SN resolved into multiple im- ages, in the MACS J1149.5+2223 (Ebeling et al. 2001, 2007) galaxy cluster field on 11 November 2014 in Hub- ble Space Telescope (HST) images collected as part of the Grism Lens-Amplified Survey from Space (GLASS; PI: Treu; GO-13459; Schmidt et al. 2014; Treu et al. 2015b). Those exposures revealed four resolved images of the background SN, arranged in an Einstein cross con- figuration around an elliptical cluster member. Models of the complex potential of the galaxy cluster and early- type galaxy lens suggest that three of the four images are magnified by up to a factor of ⇠10–20 (Kelly et al. 2015; Oguri 2015; Sharon & Johnson 2015; Diego et al. 2015; Grillo et al. 2015; Jauzac et al. 2015; Kawamata et al. 2015; Treu et al. 2015a). In addition to the Einstein-Cross–like configuration caused primarily by the galaxy-scale lens, SN Refsdal is also being strongly lensed by the gravitational poten- tial of the MACS J1149.5+2223 cluster. This larger lens produces multiple images of the SN Refsdal host galaxy (Smith et al. 2009; Zitrin & Broadhurst 2009). Lens models produced soon after the SN discovery consistently predicted that a fifth image of SN Refsdal should appear within several years in another image of the host, approx- imately 800 from images S1–S4 (Kelly et al. 2015; Oguri 2015; Sharon & Johnson 2015; Diego et al. 2015). We adopt the identifier ‘SX’ for this new image, following Oguri (2015). In these models, the galaxy-cluster gravi- tational potential is constrained by varying combinations of strong-lensing constraints, including the positions and redshifts of multiply imaged background galaxies, the po- sitions of the SN Refsdal images S1–S4, and locations of bright clumps within SN Refsdal’s host galaxy. The po- tential (or surface mass density) is also parameterized in a variety of ways, often using the positions or light distributions of cluster galaxies as constraints. Given the complexity of the cluster potential, it is unlikely that measurement of time delays between the SN Refsdal images can be used for precision cosmology, as suggested by Refsdal (1964). However, if one adopts a fixed set of cosmological parameters, then time delays and magnification ratios can be used to measure the dif- ference in the potential and its derivatives between the positions of multiple images, thus providing a powerful local test of lens models. To sharpen this test, several lens modeling teams have refined their predictions for the relative time delay and magnification of image SX. Treu et al. (2015a) identi- fied an improved set of multiply imaged galaxies using additional data collected after the discovery of the SN. Systems were discovered or confirmed from HST WFC3 G102 and G141 grism spectra (PI: Treu), thirty orbits of G141 grism spectra taken to determine the spectro- scopic type of the SN (PI: Kelly; GO-14041; Kelly et al., in prep.; Brammer et al., in prep.), deep VLT-MUSE observations (PI: Grillo; Grillo et al. 2015, submitted), Keck/DEIMOS observations (PI: Jha), as well as Fron- tier Fields observations of the MACS J1149.5+2223 field that began shortly after discovery (PI: Lotz; GO-13504). The spectroscopic data provided 429 spectroscopic red- shifts in the field of MACSJ1149.5+2223, including 170 spectroscopic cluster members and 23 multiple images of 10 di↵erent galaxies. With the improved dataset, Treu et al. (2015a) organized 5 independent lens mod- eling teams which produced 7 separate predictions for the time delays. In a parallel e↵ort, Jauzac et al. (2015) used new Gemini GMOS and part of the VLT-MUSE data (PI: Grillo), as well as Frontier Fields photometry to generate improved constraints on the cluser potential and new predictions for the time delay and magnification of image SX. These revised models consistently favor delays of less than one year, except for the model by Jauzac et al. (2015). Image SX is also predicted to be significantly fainter than images S1–S3, by a factor of 3-4. Together these predictions indicated that image SX could plausi- bly have been detected as soon as HST could observe the MACS J1149.5+2223 field beginning on October 30 2015. From late July through late October, it had been too close to the Sun to be observed. Importantly, all of these modeling e↵orts were completed before the first realistic opportunity to detect image SX on October 30
  • 3. Reappearance of Supernova Refsdal 3 2015, making these truly blind predictions. Here we present a direct test of these lens model pre- dictions, as we revisit the MACS J1149.5+2223 field and identify the appearance of the anticipated fifth image of SN Refsdal. In this work, Section 2 presents the data processing and photometry on the new HST images. In Section 3 we derive joint constraints on the relative time delay and magnification and compare these to the pub- lished predictions from the lens modeling community. We briefly discuss our results in Section 4 and conclude in Section 5. Throughout this paper, magnitudes are given in the AB system (Oke & Gunn 1983), and a concor- dance cosmology is assumed when necessary (⌦m = 0.3, ⌦⇤ = 0.7, H0= 70 km s 1 Mpc 1 ). 2. METHODS We processed the WFC3 imaging data using a pipeline constructed from the DrizzlePac software tools.26 The images were resampled to a pixel scale of 0.0600 /pixel us- ing AstroDrizzle (Fruchter, A. S., et al. 2010) and reg- istered to a common astrometric frame using TweakReg. Template images in each band were constructed by com- bining all available WFC3 IR imaging collected prior to 30 Oct, 2015, comprising observations from the GLASS program, the Cluster Lensing And Supernova survey with Hubble (CLASH, GO-12068; PI:M. Postman, Post- man et al. 2012), the Hubble Frontier Fields (HFF, DD/GO-13504; PI: J. Lotz), the FrontierSN program (GO-13790; PI: S. Rodney), and the SN Refsdal Follow- up program (DD/GO-14041; PI: P. Kelly). We generated di↵erence images by subtracting these template images directly from the search epoch images, without applying any smoothing algorithm (Alard & Lupton 1998), owing to the excellent stability of the HST point spread func- tion (PSF). To measure the SN flux from the di↵erence images, we used the PythonPhot,27 software package (Jones et al. 2015) which employs a PSF-fitting photometry proce- dure based on the DAOPHOT algorithm (Stetson 1987). We measure photometric uncertainties by planting and recovering 1000 fake stars (copies of the model PSF) in the vicinity of the SN position. 3. RESULTS In Figure 1, we present the F125W and F160W images taken on 11 December 2015 that show a new image of SN Refsdal in its redshift z = 1.49 host galaxy. The location of this image SX in J2000 coordinates is R.A., Decl. = 11:49:36.02, +22:23:48.1.28 This locates SX at 6.200 North and 3.900 East of image S1. Table 1 reports the measured fluxes and uncertainties. The upper limits are measured from the recovery of fake stars. We measure an F125W - F160W color of 0.2±0.3 for image SX, which is consistent with that reported for of S1–S4 at discovery. Figure 2 shows simultaneous constraints on the time delay and magnification ratio between image S1 discov- ered in 2014, and the newly discovered image SX, and comparisons with model predictions from several teams 26 http://drizzlepac.stsci.edu 27 https://github.com/djones1040/PythonPhot 28 The coordinates are registered to the astrometric system used for the CLASH, GLASS, and HFF images and catalogs http:// www.stsci.edu/hst/campaigns/frontier-fields/ Table 1 Photometry of Image SX Obs. Date Filter Exp. Time Magnitude (MJD) (s) (AB) 57325.8 F125W 1259 27.4 ± 0.4 57340.9 F125W 1259 27.3 ± 0.4 57367.1 F125W 1259 26.56 ± 0.16 57325.9 F160W 1159 27.4 ± 0.6 57341.0 F160W 1159 26.29 ± 0.15 57367.1 F160W 1159 26.24 ± 0.16 reported by Treu et al. (2015a), and independent pre- dictions by Jauzac et al. (2015). In Figure 3, we show a comparison between the coordinates of the new image SX and several published model predictions, which shows a good agreement. 4. DISCUSSION Lensed SN provide a powerful means to test the ac- curacy of the lens models of the foreground deflector, or to provide additional input constraints (e.g. Riehm et al. 2011). Previous tests have been based on SN that are magnified but not multiply imaged (Patel et al. 2014b; Nordin et al. 2014). Recently, Rodney et al. (2015) dis- covered a Type Ia SN magnified by a factor of ⇠2⇥ by a galaxy-cluster potential, and found that its calibrated lu- minosity was in tension with some – but not all – models of the cluster potential. With SN Refsdal we have for the first time been able to test predictions for both the lensing time delay as well as the magnification. This is important because the time delay depends on the di↵erence in gravitational potential, while magnification depends on a combination of second derivatives, and therefore the two observables test dif- ferent aspects of the potential. In principle, time delays are much less sensitive than magnification ratios to milli and microlensing and should therefore be more robustly predicted. It is important to keep in mind that all of these tests are local, and thus a larger sample is needed to assess the global goodness-of-fit of every model. Nevertheless, these tests are an extremely valuable probe of systematics. In fact, as discussed by Treu et al. (2015a), the uncertain- ties reported by modelers do not include all sources of systematic errors. For example, systematic uncertain- ties arising from unmodeled milli-lensing, residual mass- sheet degeneracy, and multiplane lensing, are very di - cult to calculate and are thus not included. The lensed- supernova tests provide estimates of the amplitude of the unknown uncertainties. Other known sources of errors are not included either. For example, a 3% uncertainty on the Hubble constant (Riess et al. 2011) implies a 3% uncertainty on time delays, i.e. approximately 10 days for a year-long delay. Furthermore the uncertainties are typically highly non-Gaussian so that the 95% confidence interval is not simply twice as wide as the 68% one. 5. CONCLUSIONS We have detected the reappearance of SN Refsdal in a di↵erent multiple image of its host galaxy from the one where the event was originally discovered in 2014. Keep- ing in mind the caveats given in the previous section, we can reach two major conclusions. First, SN Refsdal
  • 4. 4 Figure 1. Coadded WFC3-IR F125W and F160W exposures of the MACS J1149.5+2223 galaxy-cluster field taken with HST. Top panel shows images taken on 11 December 2015 which reveal the new image SX of SN Refsdal. The middle panel shows images taken on 20 April 2015 where the four images forming the Einstein cross are close to maximum brightness, but no flux is evident at the position of SX. Bottom panel shows images acquired in 2011 without images of the SN.
  • 5. Reappearance of Supernova Refsdal 5 Figure 2. Simultaneous constraints on the relative time delay between S1 and SX from the measured magnitude of SX. The two-dimensional contours show the 68% and 95% confidence levels, while the model predictions plot 68% confidence levels. The F160W (approximately rest-frame R) light curve of SN Refsdal is reasonably well-matched by that of a slowly evolving SN similar to 1987A (Kelly et al., in prep.). We use separate second-order polynomial fits to the F125W and F160W light curves of image S1 of SN Refsdal as models for the light curves of SX to compute joint constraints on the time delay and the magnification ratio between S1 and SX, for comparison with model predictions. Except for the Jauzac et al. (2015) prediction, labels refer to models presented in Treu et al. (2015a). While all other plotted predictions were made in advance of the HST Cycle 23 observations in Fall 2015, ‘Zitrin-c’ is a post-blind prediction that supercedes the ‘Zitrin-g’ model; in this model the lens galaxy was left to be freely wighted to reassure is critical curves pass between the four Einstein-cross images. We note that many of the lensing predictions are not Gaussian distributed, and 68% limits do not imply that are necessarily inconsistent with the measurements. The greater the S1-SX delay, the earlier we currently are in the light curve of SX. The black dashed line marks the delay beyond which we lack data on the light curve of SN Refsdal. Our model for the light curve at earlier epochs is an extension of the second-order polynomial.
  • 6. 6 Figure 3. Comparison between the position of image SX and published predictions. Coordinates are overplotted on the combined F125W and F160W di↵erence image from the 11 December 2015 and template imaging acquired in 2011. The Jauzac et al. (2015) and Grillo et al. (2015) positions both agree within the rms scatter reported between input and best-fit positions in each paper. An uncertainty was not available for the Diego et al. (2015) prediction and we show an annulus with a 0.600 radius. indeed reappeared approximately as predicted, implying that the unknown systematic uncertainties are not sub- stantially larger than the random uncertainties, at least for some models. This is a remarkable and powerful val- idation of the model predictions specifically and of gen- eral relativity indirectly. The second conclusion is that already this first detection provides some discriminatory power: not all models fare equally well. Grillo-g, Oguri-g, Oguri-a, and Sharon-a appear to be the ones that match the observations most closely. In general most models seem to predict a slightly higher magnification ratio than observed, or shorter delays. A detailed statistical analy- sis of the agreement between the model predictions and the observations will have to wait for the actual mea- surement of the magnification and time delays, which will require analysis of the full light curve past its peak during 2016. We express our appreciation for the e↵orts of Program Coordinator Beth Periello and Contact Scientist Norbert Pirzkal. Support for the preparation of the paper is from the HST grant GO-14041. The GLASS program was supported by GO-13459, and the FrontierSN photo- metric follow-up has funding through GO-13386. AZ is supported by Hubble Fellowship (HF2-51334.001-A) awarded by STScI, which is operated by the Associa- tion of Universities for Research in Astronomy, Inc., for NASA, under contract NAS 5-26555. RJF gratefully ac- knowledges support from NSF grant AST-1518052 and the Alfred P. Sloan Foundation. AVF’s group at UC Berkeley has received generous financial assistance from the Christopher R. Redlich Fund, the TABASGO Foun- dation, Gary & Cynthia Bengier, and NSF grant AST- 1211916. This supernova research at Rutgers University is supported by NSF CAREER award AST-0847157, and NASA/Keck JPL RSA 1508337 and 1520634 to SWJ. REFERENCES Alard, C., & Lupton, R. H. 1998, ApJ, 503, 325 Bolton, A. S., & Burles, S. 2003, ApJ, 592, 17 Chornock, R., Berger, E., Rest, A., et al. 2013, ApJ, 767, 162 Diego, J. M., Broadhurst, T., Chen, C., et al. 2015, ArXiv e-prints, arXiv:1504.05953 Ebeling, H., Barrett, E., Donovan, D., et al. 2007, ApJ, 661, L33 Ebeling, H., Edge, A. C., & Henry, J. P. 2001, ApJ, 553, 668 Fassnacht, C. D., Pearson, T. J., Readhead, A. C. S., et al. 1999, ApJ, 527, 498 Fruchter, A. S., et al. 2010, in 2010 Space Telescope Science Institute Calibration Workshop, p. 382-387, 382 Goobar, A., Paech, K., Stanishev, V., et al. 2009, A&A, 507, 71 Grillo, C., Karman, W., Suyu, S. H., et al. 2015, ArXiv e-prints, arXiv:1511.04093 Holz, D. E. 2001, ApJ, 556, L71 Jauzac, M., Richard, J., Limousin, M., et al. 2015, ArXiv e-prints, arXiv:1509.08914 Jones, D. O., Scolnic, D. M., & Rodney, S. A. 2015, PythonPhot: Simple DAOPHOT-type photometry in Python, Astrophysics Source Code Library Kawamata, R., Oguri, M., Ishigaki, M., Shimasaku, K., & Ouchi, M. 2015, ArXiv e-prints
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