scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Host galaxy properties and offset distributions of fast radio bursts: implications for their progenitors

About: This article is published in The Astrophysical Journal.The article was published on 2020-09-22 and is currently open access. It has received 141 citations till now. The article focuses on the topics: Galaxy & Star formation.
Figures (17)

Content maybe subject to copyright    Report

Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for
Their Progenitors
Kasper E. Heintz
1
, J. Xavier Prochaska
2,3
, Sunil Simha
2
, Emma Platts
4
, Wen-fai Fong
5
, Nicolas Tejos
6
,
Stuart D. Ryder
7,8
, Kshitij Aggerwal
9,10
, Shivani Bhandari
11
, Cherie K. Day
11,12
, Adam T. Deller
12
,
Charles D. Kilpatrick
13
, Casey J. Law
14
, Jean-Pierre Macquart
15,17
, Alexandra Mannings
2
, Lachlan J. Marnoch
7,8,11
,
Elaine M. Sadler
11,16
, and Ryan M. Shannon
12
1
Centre for Astrophysics and Cosmology, Science Institute, University of Iceland, Dunhagi 5, 107 Reykjavík, Iceland; keh14@hi.is
2
University of CaliforniaSanta Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
3
Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU), 5-1-5 Kashiwanoha, Kashiwa, 277-8583, Japan
4
High Energy Physics, Cosmology & Astrophysics Theory (HEPCAT) group, Department of Mathematics and Applied Mathematics, University of Cape Town,
South Africa
5
Center for Interdisciplinary Exploration and Research in Astrophysics and Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road,
Evanston, IL 60208-3112, USA
6
Instituto de Física, Ponticia Universidad Católica de Valparaíso, Casilla 4059, Valparaíso, Chile
7
Department of Physics & Astronomy, Macquarie University, NSW 2109, Australia
8
Astronomy, Astrophysics and Astrophotonics Research Centre, Macquarie University, Sydney, NSW 2109, Australia
9
Department of Physics and Astronomy, West Virginia University, Morgantown, WV 26506, USA
10
Center for Gravitational Waves and Cosmology, West Virginia University, Chestnut Ridge Research Building, Morgantown, WV, USA
11
Australia Telescope National Facility, CSIRO Astronomy and Space Science, P.O. Box 76, Epping, NSW 1710, Australia
12
Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
13
Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, USA
14
Cahill Center for Astronomy and Astrophysics, MC 249-17 California Institute of Technology, Pasadena, CA 91125, USA
15
International Centre for Radio Astronomy Research, Curtin University, Bentley WA 6102, Australia
16
Sydney Institute for Astronomy, School of Physics A28, The University of Sydney, NSW 2006, Australia
Received 2020 July 1; revised 2020 September 6; accepted 2020 September 8; published 2020 November 12
Abstract
We present observations and detailed characterizations of ve new host galaxies of fast radio bursts (FRBs)
discovered with the Australian Square Kilometre Array Pathnder (ASKAP) and localized to 1. Combining these
galaxies with FRB hosts from the literature, we introduce criteria based on the probability of chance coincidence to
dene a subsample of 10 highly condent associations (at z=0.030.52), 3 of which correspond to known repeating
FRBs. Overall, the FRB-host galaxies exhibit a broad, continuous range of color (M
u
M
r
=0.92.0), stellar mass
(M
å
=10
8
6×10
10
M
e
), and star formation rate (SFR=0.0510 M
e
yr
1
) spanning the full parameter space
occupied by z<0.5 galaxies. However, they do not track the colormagnitude, SFRM
å
,norBPTdiagramsofeld
galaxies surveyed at similar redshifts. There is an excess of green valley galaxies and an excess of emission-line
ratios indicative of a harder radiation eld than that generated by star formation alone. From the observed stellar mass
distribution, we rule out the hypothesis that FRBs strictly track stellar mass in galaxies (>99% c.l.). We measure a
median offset of 3.3 kpc from the FRB to the estimated center of the host galaxies and compare the host-burst offset
distribution and other properties with the distributions of long- and short-duration gamma-ray bursts (LGRBs and
SGRBs), core-collapse supernovae (CC-SNe), and SNe Ia. This analysis rules out galaxies hosting LGRBs (faint,
star-forming galaxies) as common hosts for FRBs (>95% c.l.). Other transient channels (SGRBs, CC-, and SNe Ia)
have host-galaxy properties and offsets consistent with the FRB distributions. All of the data and derived quantities
are made publicly available on a dedicated website and repository.
Unied Astronomy Thesaurus concepts: Galaxies (573); Interstellar medium (847); Star formation (1569);
Extragalactic radio sources (508); Radio bursts (1339); Magnetars (992)
1. Introduction
The transients classied as fast radio bursts (FRBs ) and their
progenitors constitute one of the major puzzles in contempor-
ary astrophysics (see Cordes & Chatterjee 2019; Petroff et al.
2019, for recent reviews). FRBs are brief (1ms), but bright
(>1Jyms) radio-pulse events, similar in nature to pulsars,
although their extragalactic origin
(Thornton et al. 2013)
implies much higher energies. Despite being rst detected more
than a decade ago (Lorimer et al. 2007), the physical engines
powering FRBs still remain a mystery, but a plethora of
origins has been proposed (see e.g., Platts et al. 2019, for a
compendium).
Nevertheless, FRBs have already been demonstrated to be
powerful cosmological probes. Similar to how UV or optically
bright cosmic beacons such as quasars and gamma-ray burst
(GRB) afterglows have been paramount in the study of the
interstellar and intergalactic gas properties at high redshifts
(Wolfe et al. 2005; Fynbo et al. 2009), FRBs have revolutionized
the studies of the cosmic web between galaxies (Macquart et al.
2020; Simha et al. 2020), the diffuse ionized gas in extragalactic
halos (McQuinn 2014; Prochaska & Zheng 2019;Prochaska
et al. 2019a), and the interstellar and circumgalactic media of
their hosts (Tendulkar et al. 2017; Chittidi et al. 2020).Most
notably, FRBs can be used to provide a census of the baryonic
content that is in a highly diffuse state and therefore difcult to
detect with any other approach (Macquart et al. 2020).
The Astrophysical Journal, 903:152 (22pp), 2020 November 10 https://doi.org/10.3847/1538-4357/abb6fb
© 2020. The American Astronomical Society. All rights reserved.
17
Deceased.
1

Until recently, the main issue hindering any signicant
progress has been the generally poor localizations of the events.
The rst decade of FRB searches was undertaken with
telescopes that had localization regions ?1 arcmin
2
. This is
inhibited by the seeming lack of afterglows analogous to
those observed for GRBs (Petroff et al. 2017; Bhandari et al.
2018; Chen et al. 2020) and associated supernova-like transient
counterparts (Marnoch et al. 2020). A precise localization
(1) of the burst itself is thus required to robustly identify the
associated host galaxy (Eftekhari & Berger 2017).
The rst unique identication of an FRB-host galaxy was
based on direct interferometric localization of the repeat bursts
from FRB 121102 (Spitler et al. 2016). Follow-up observations
revealed a faint, actively star-forming (SF), low-mass galaxy at
z=0.1927 (Chatterjee et al. 2017; Tendulkar et al. 2017). The
resemblance to the hosts of long-duration GRBs and super-
luminous supernovae (SLSNe) promoted young aring
magnetar models as the origin of the repeat bursts (e.g.,
Metzger et al. 2017; Margalit & Metzger 2018). However, it is
now clear that the host galaxy of FRB 121102 is anomalous
compared to other FRB hosts (e.g., Bannister et al. 2019;Li
et al. 2019; Bhandari et al. 2020b). Recently, another repeating
FRB, FRB 180916, was localized to an SF region in a nearby
spiral galaxy (Marcote et al. 2020), showing properties in stark
contrast to the host of FRB 121102.
The Commensal Real-Time ASKAP Fast Transients
(CRAFT; Macquart et al. 2010) survey has operated the
Australian Square Kilometre Array Pathnder (ASKAP) in
incoherent-sum (ICS) mode since 2018, and now routinely
provides arcsecond localizations of single-pulse FRBs. This
led to the discovery of the rst two host galaxies associated
with apparently one-off FRBs (Bannister et al. 2019; Prochaska
et al. 2019a), and based on the rst preliminary study of
ASKAP-detected FRBs (Bhandari et al. 2020b, see also Li &
Zhang 2020), it is now clear that the majority of FRB hosts are
instead massive galaxies with older stellar populations. This
suggests that FRBs reside in diverse environments, even for the
proposed subpopulation of repeating bursts. The progenitors of
FRBs (and astronomical transients in general) are likely linked
to specic stellar populations and galactic environments, so
detailed characterizations of their host galaxies allow us to
constrain the nature of these events and their likely progenitor
channels (akin to how the host properties of GRBs aided in
constraining their progenitors, e.g., Fruchter et al. 2006; Yoon
et al. 2006).
In this paper, we present the rst comprehensive and
statistical analyses of the population of galaxies hosting FRBs.
These include detailed characterizations of ve new host
galaxies of accurately localized FRBs detected by ASKAP.
Combined with all previously identied FRB hosts reported in
the literature, our sample comprises a total of 13 host galaxies.
We measure the physical properties of the majority of the FRB
hosts in our sample based on existing and newly obtained
spectroscopic and photometric data.
Throughout the paper, we distinguish between host galaxies
of repeating FRBs and apparently nonrepeating, one-off bursts
to investigate any distinct characteristics between the host
populations of the two apparent types of FRBs. We rst
compare the observed FRB-host properties to those of eld
galaxies to examine how the FRB hosts are drawn from the
underlying galaxy population. We then investigate any
connections between the FRB-host properties and host-burst
offset distributions to those of other astronomical transients
such as long-duration GRBs (LGRBs), short-duration GRBs
(SGRBs), core-collapse supernovae (
CC-SNe), and SNe Ia.
Recently, Li & Zhang (2020) and Bhandari et al. (2020b)
analyzed a sample of ve and six FRB hosts, respectively, and
found that their physical properties are most consistent with
those of SGRBs and SNe Ia, excluding models in which the
majority of FRBs originate from SLSN/LGRB progenitors or
active galactic nuclei (AGNs). Here, we leverage our larger
sample to further narrow down and provide stronger constraints
on the most likely progenitor channels for the majority
of FRBs.
We have structured the paper as follows: in Section 2 we
dene the FRB-host galaxy sample(s) and present the new host-
galaxy observations of the ASKAP-localized FRBs character-
ized here. We detail the modeling of the host-galaxy properties
in Section 3 and compare the typical host-galaxy environments
to eld-selected galaxies in Section 4.InSection5 we compare
the FRBs to other types of astronomical transients and discuss
the implications of our results on the most likely FRB progenitor
channels. We conclude and summarize our work in Section 6.
Throughout the paper, we assume the concordance cosmological
model, with Ω
m
=0.308 and H
0
=67.8 km s
1
Mpc
1
(Planck
Collaboration et al. 2016).
2. Sample and Observations
In collaboration with the CRAFT (Macquart et al. 2010) and
realfast (Law et al. 2018) surveys, we have as part of the Fast
and Fortunate for FRB Follow-up (F
4
)
18
collaboration
endeavored to obtain dedicated photometric and spectroscopic
follow-up observations of all arcsecond-localized FRBs.
These provide a secure identication of the associated host
galaxies and allow us to derive their main physical properties.
All the observational data products are available on the FRB
GitHub repository,
19
in addition to a large suite of FRB-related
scripts. As a front-end to these data repositories, we have also
launched an online FRB-host galaxy database,
20
with the goal
of collecting and sharing all currently known and future FRB
hosts and their basic properties.
In this section, we describe the identication of FRB-host
galaxies and dene a set of sample criteria to describe the
robustness of the host associations. We then present the new
observations of ve FRB-host galaxies and compile all
previously known FRB hosts reported in the literature, all
considered in our meta analysis. At the end, we summarize the
overall sample properties.
2.1. Host-galaxy Associations
An FRB signal alone cannot directly establish the redshift of
the source, and one relies on an association with a host galaxy
for a precise measurement. To date and in this work, the
association of the FRB with a host galaxy is primarily based on
probabilistic arguments given their position relative to coin-
cident or nearby galaxies. Following standard practice for other
transients (e.g., Bloom et al. 2002; Blanchard et al. 2016,
for GRBs), one may estimate the probability of a chance
coincidence (P
chance
) based on the angular offset, θ, of the FRB
position from the galaxy centroid, the uncertainty of the FRB
18
https://ucolick.org/f-4
19
https://github.com/FRBs/FRB
20
https://frbhosts.org
2
The Astrophysical Journal, 903:152 (22pp), 2020 November 10 Heintz et al.

localization, and the galaxys apparent magnitude. Further
work may adopt additional properties and priors for establish-
ing associations.
The derivation of P
chance
is based on galaxy number counts
and captures the fact that apparently faint galaxies are more
common on the sky. We adopt the formalism developed by
Bloom et al. (2002), derived from optical galaxy number
counts (Hogg et al. 1997), which gives the number density of
galaxies brighter than apparent r -band magnitude m
r
(not
taking into account clustering of galaxies),as
S=
´
´
-+ -
m
1
3600 0.334 log 10
10 arcsec . 1
r
e
m
2
0.334 22.963 4.320 2
r
()
()
()
()
We then calculate the probability of chance coincidence, given
by
h=- -P 1exp , 2
chance
() ()
where η πθ
2
Σ(m
r
). We report the estimated chance
probabilities of each of the FRB-host galaxies in Table 1.
Here, we also provide the association radius δx, representing
the offset from a given galaxy with r-band magnitude m
r
within
which the FRB can be securely associated with the galaxy
(Tunnicliffe et al. 2014).
In previous works, we estimated the probability of chance
coincidence with an empirical approach (Bannister et al. 2019)
and reported
<
-
P 10
chance
3
for the rst well-localized ASKAP-
detected FRBs (e.g., Bannister et al. 2019; Prochaska et al.
2019a). The formalism described above yields consistent
results. We note that Eftekhari & Berger (2017) have
developed a similar framework to quantify the robustness of
the FRB-host galaxy associations with a more recent number
count estimation. This generally provides lower chance
probabilities; here, we use the formalism described above to
be more conservative. In this work, we also estimate the
uncertainty on the offsets from the FRB to the host galaxy
center by integrating over the FRB localization ellipse.
Our approach is designed to (i) minimize the deleterious effect
of false positives on this somewhat small sample of events and
(ii) dene a high-condence sample that can be used in future
analyses to generate priors for a full Bayesian analysis. To do
this, we dene four subsamples based solely on
P
chance
and the
quality of the galaxy redshift estimation. These are:
1. Sample A: The host-galaxy association is considered
highly probable (
<P 0.05
chance
) based on the FRB
localization and galaxy photometry. The galaxy has a
spectroscopically conrmed redshift
z
spec
.
2. Sample B: Same as Sample A, except that only a
photometric redshift
z
pho
t
has been estimated.
3. Sample C: The host-galaxy association is less secure due
to a poor FRB localization, multiple host candidates,
and/or because additional priors were adopted in the
association (e.g., the Macquart DMz relation; Macquart
et al. 2020). A spectroscopic redshift
z
spec
has been
measured.
4. Sample D: Same as Sample C, except that only a
photometric redshift
z
pho
t
has been measured.
We consider all the FRB hosts compiled in this work
throughout the paper but caution about the potential pitfalls of
the uncertain host-galaxy identications where relevant. For the
statistical analyses we only consider the FRBs in SampleA. In
the following section we introduce all of the candidate FRB-
host galaxies and enumerate the number in each sample type.
2.2. FRB-host Galaxy Observations
In continuation of the rst four FRBs detected and accurately
localized by ASKAP/CRAFT (presented in Bhandari et al.
2020b), we here report the observations and basic properties of
ve more recent FRB-host galaxies: those of FRBs 190611,
190711, 190714, 191001, and 200430.
2.2.1. FRB 190611
On UT 2019 June 11 at 05:45:43.3, the ASKAP telescope
recorded FRB 190611 as reported by Macquart et al. (2020),
who also briey described its host-galaxy candidates. The FRB
position is at R.A., decl. (α, δ)=21
h
22
m
58 91, 79
d
23
m
51 3
(J2000), with an uncertainty of σ
α,δ
=0 7, 0 7.
We obtained deep Gemini-S/GMOS images in the r and i
bands (the latter shown in Figure 1) revealing a bright source
(r=22.65 mag) approximately 2 to the northwest at α,
δ=21
h
22
m
58 28, 79
d
23
m
50 1 (J2000), identied as the
host galaxy by Macquart et al. (2020). We do not detect any
signicant structure (e.g., spiral arms ) and measure an effective
half-light radius of R
eff
=0 40. We also tentatively detect a
considerably fainter source coincident within the FRB error
ellipse (r26 mag; at 21
h
22
m
58 97, 79
d
23
m
51 7) at a
smaller offset of 0
43 from the FRB position. We estimate
chance probabilities for the two galaxies to be unrelated to the
FRB host of
=P 0.017 and 0.10
chance
for the bright and faint
galaxy, respectively. Given the only tentative detection of the
faint source and that the bright source has
»P 2%
chance
,we
consider the more clearly offset, bright galaxy to be the host of
FRB 190611 and place it in our primary SampleA.
Spectroscopy of this host-galaxy candidate with the FORS2
instrument on the ESO Very Large Telescope (VLT ) was
reduced using the PypeIt reduction package (Prochaska et al.
2020), which optimally extracts a 1D spectrum from the at-
elded and sky-subtracted 2D spectral image. We additionally
performed a 2D coaddition of the spectra presented in
Macquart et al. (2020). This yields a spectroscopic redshift of
=
z
0.3778
spec
based on the Hα,Hβ, and [O III] line features.
At this redshift, the physical projected offset of the FRB from
the bright galaxy centroid is 11 kpc.
2.2.2. FRB 190711
On UT 2019 July 11 at 01:53:41.1, the ASKAP telescope
recorded FRB 190711 as reported by Macquart et al. (2020),
who also provided a brief description of its host galaxy. The
FRB position is at α, δ=21
h
57
m
40 68, 80
d
21
m
28 8
(J2000), with an uncertainty of σ
α,δ
=0 4, 0 3 (Day et al.
2020). This FRB has subsequently been found to repeat
(Kumar et al. 2020).
The FRB is coincident with an r23.5 mag galaxy at α,
δ=21
h
57
m
40 60, 80
d
21
m
29 25 (see Figure 1), with an
offset of 0
49. No clear morphological structures can be
identied in the GMOS imaging, and we measure an effective
half-light radius of R
eff
=0 46. We assert a secure association
of FRB 190711 to this galaxy, given the low chance probability
of
=P 0.011
chance
, and include it in SampleA.
3
The Astrophysical Journal, 903:152 (22pp), 2020 November 10 Heintz et al.

Table 1
Overview of the Main Sample of FRBs and Their Putative Hosts
FRB R.A.
FRB
Decl.
FRB
σ
R
Repeating R.A.
host
Decl.
host
θδxr
1/2
r
i
m Filter
P
chance
Sample
(deg)(deg)()(deg)(deg)()()()()(mag)
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)
121102 82.9946 33.1479 0.100 y 82.9946 33.1480 0.17 1.2 0.2 0.44 23.73 GMOS_N_r 0.0023 A
180916 29.5031 65.7168 0.002 y 29.5012 65.7147 7.87 44.8 5.1 12.95 16.17 SDSS_r 0.0059 A
180924 326.1052 40.9000 0.102 n 326.1052 40.9002 0.71 4.7 0.6 1.35 20.50 DES_r 0.0018 A
181112 327.3485 52.9709 1.626 n 327.3486 52.9709 0.28 2.7 1.2 3.25 21.68 DES_r 0.0257 C
190102 322.4157 79.4757 0.502 n 322.4150 79.4757 0.45 4.1 1.0 2.02 20.77 VLT_FORS2_I 0.0050 A
190523 207.0650 72.4697 2.449 n 207.0643 72.4708 3.79 2.4 0.5 4.90 22.01 Pan-STARRS_r 0.0733 C
190608 334.0199 7.8982 0.258 n 334.0204 7.8989 3.00 20.5 1.3 3.96 17.55 SDSS_r 0.0016 A
190611 320.7455 79.3976 0.671 n 320.7428 79.3972 2.13 2.3 0.4 2.27 22.07 GMOS_S_r 0.0169 A
190614 65.0755 73.7067 0.566 n 65.0738 73.7064 2.22 1.4 1.0 2.99 23.25 GMOS_S_r 0.0708 D
190711 329.4195 80.3580 0.350 y 329.4192 80.3581 0.49 1.3 0.5 1.04 23.49 GMOS_S_r 0.0106 A
190714 183.9797 13.0210 0.283 n 183.9796 13.0211 0.49 4.3 1.0 2.09 20.69 Pan-STARRS_r 0.0050 A
191001 323.3516 54.7477 0.149 n 323.3519 54.7485 2.86 13.5 1.4 4.07 18.34 DES_r 0.0031 A
200430 229.7064 12.3769 0.546 n 229.7063 12.3766 1.04 3.0 0.6 1.55 21.51 Pan-STARRS_r 0.0051 A
Note. Column 1: FRB source. Columns 2 and 3: R.A. and decl. of the FRB (J2000). Column 4: Approximate FRB localization uncertainty
(geometric mean of R.A. and decl. axes). Column 5: FRB classication.
Repeating=yes(y)/no(n). Columns 6 and 7: R.A. and decl. of the associated host galaxy (J2000). Column 8: Projected angular offset of the FRB to the host-galaxy center. Column 9: Association radius δx (Tunnicliffe
et al. 2014). Column 10: Angular effective radius of the host measured from a Sérsic model using GALFIT (Peng et al. 2010) on the i -band images (or equivalent). Column 11: Effective search radius (Bloom et al. 2002).
Column 12: Measured apparent magnitude of the host. Column 13: Filter used for the magnitude measurement. Column 14: Probability of chance coincidence using the Bloom et al. (2002) formalism. Column 15:
Sample designations following the criteria outlined in Section 2.1.
4
The Astrophysical Journal, 903:152 (22pp), 2020 November 10 Heintz et al.

Using PypeIt, we have performed a 2D coaddition of the
VLT X-Shooter spectra presented in Macquart et al. (2020).
Based on the detection of Hβ and [O
III] in this spectrum, we
nd
=
z
0.5220
spec
. At this redshift, the physical projected
offset of the FRB from the galaxy centroid is 3 kpc. We do
not detect Hα emission, but this feature lies at a lower
throughput portion of the spectrograph where there is also
signicant telluric absorption.
2.2.3. FRB 190714
On UT 2019 July 14 at 05:37:12.9, the ASKAP telescope
recorded FRB 190714 at α, δ =12
h
15
m
55 12, 13
d
01
m
15 7
(J2000), with an uncertainty of σ
α,δ
=0 4, 0 3. This
localization places FRB 1907140
5 from the galaxy
J121555.0941130116.004 (see Figure 1), which was pre-
viously cataloged by the Pan-STARRS (Chambers et al. 2016)
and the VISTA (Cross et al. 2012) surveys. It is a relatively
bright source (r=20.85 mag), and we estimate a chance
association of
P
chance
=0.005. We thus include this galaxy in
SampleA. We do not detect any distinct morphology of the
host galaxy in our FORS2 I-band image, but there might be
evidence of spiral arms based on preliminary results obtained
from imaging with the Hubble Space Telescope (A. Mannings
et al. 2020, in preparation). We measure an effective half-light
radius of R
eff
=1 02.
We obtained optical spectroscopy of the host of FRB 190714
on 2020 January 28 with the LRIS spectrometer (Oke et al.
1995) on the KeckI 10 m telescope. This dual-camera
instrument was congured with the 600/7500 grating, the
600/4000 grism, and a slit mask designed to observe the FRB-
host and additional galaxies in the eld. We reduced these data
with PypeIt, and the extracted 1D spectrum was then ux-
calibrated through observations of a spectroscopic photometric
standard acquired on the same (clear ) night and scaled to the
Pan-STARRS photometry. The bright nebular emission lines of
Hβ, [O
III],Hα, and [N II] yield a spectroscopic redshift of
=
z
0.2365
spec
. This places FRB 190714 at a projected physical
separation of 2 kpc from the galaxy center.
2.2.4. FRB 191001
On UT 2019 October 01 at 16:55:36.0, the ASKAP
telescope recorded FRB 191001 at α, δ=21
h
33
m
24 373,
54
d
44
m
51 4 (J2000), with an uncertainty of σ
α,δ
=0 17,
0
13 (Bhandari et al. 2020a). This position is 2 9 north of
the previously cataloged source DESJ213324.44544454.65
(Figure 1; Abbott et al. 2018). Despite the relatively large
angular offset, the bright magnitude (r=18.41 mag) yields a
chance coincidence probability of only
=P 0.00
3
chance
.We
therefore include this galaxy in SampleA. The host galaxy of
this FRB shows clear spiral-arm features, with the FRB
occurring in the outskirts of the northern arm (see Bhandari
et al. 2020a, for a more detailed study of this FRB). The
estimated effective half-light radius is R
eff
=1 44.
On UT 2019 October 4, we obtained a GMOS spectrum of
the host of FRB 191001 with the Gemini-S telescope,
congured with a 1 long slit and the R400 grating tilted to
cover λ50009900 Å with a full width at half maximum
(FWHM)
-
5
00 km s
1
. The data were reduced with the
PypeIt software package (see Section 2.2.1 for details) and
ux calibrated with a standard star obtained and scaled to
=
18.
mag. The detection of strong nebular emission lines
from Hβ, [O
III],Hα, and [N II] yield a spectroscopic redshift
Figure 1. Mosaic showing the I/i-band images of the host galaxies of FRBs 190611, 190711, 190714, 191001, and 200430. The dashed black lines represent the total
1σuncertainties on the FRB positions (statistical and systematic).
5
The Astrophysical Journal, 903:152 (22pp), 2020 November 10 Heintz et al.

Citations
More filters
Journal ArticleDOI
TL;DR: In this article, a repeating fast radio burst (FRB) with a low dispersion measure (DM) was detected by the Canadian Hydrogen Intensity Mapping Experiment FRB project.
Abstract: We report on the discovery of FRB 20200120E, a repeating fast radio burst (FRB) with a low dispersion measure (DM) detected by the Canadian Hydrogen Intensity Mapping Experiment FRB project. The source DM of 87.82 pc cm−3 is the lowest recorded from an FRB to date, yet it is significantly higher than the maximum expected from the Milky Way interstellar medium in this direction (∼50 pc cm−3). We have detected three bursts and one candidate burst from the source over the period 2020 January–November. The baseband voltage data for the event on 2020 January 20 enabled a sky localization of the source to within ≃14 arcmin2 (90% confidence). The FRB localization is close to M81, a spiral galaxy at a distance of 3.6 Mpc. The FRB appears on the outskirts of M81 (projected offset ∼20 kpc) but well inside its extended H i and thick disks. We empirically estimate the probability of a chance coincidence with M81 to be <10−2. However, we cannot reject a Milky Way halo origin for the FRB. Within the FRB localization region, we find several interesting cataloged M81 sources and a radio point source detected in the Very Large Array Sky Survey. We search for prompt X-ray counterparts in Swift Burst Alert Telescope and Fermi/GBM data, and, for two of the FRB 20200120E bursts, we rule out coincident SGR 1806−20-like X-ray bursts. Due to the proximity of FRB 20200120E, future follow-up for prompt multiwavelength counterparts and subarcsecond localization could be constraining of proposed FRB models.

118 citations

Journal ArticleDOI
TL;DR: The16.35 day period in its bursting was reported in this paper, where optical and infrared imaging as well as integral field spectroscopy observations of FRB 20180916B with the WFC3 camera on the Hubble Space Telescope and the MEGARA spectrograph on the 10.4 m Gran Telescopio Canarias.
Abstract: Fast radio burst FRB 20180916B in its host galaxy SDSS J015800.28+654253.0 at 149 Mpc is by far the closest-known FRB with a robust host galaxy association. The source also exhibits a 16.35 day period in its bursting. Here we present optical and infrared imaging as well as integral field spectroscopy observations of FRB 20180916B with the WFC3 camera on the Hubble Space Telescope and the MEGARA spectrograph on the 10.4 m Gran Telescopio Canarias. The 60-90 milliarcsecond (mas) resolution of the Hubble imaging, along with the previous 2.3 mas localization of FRB 20180916B, allows us to probe its environment with a 30-60 pc resolution. We constrain any point-like star formation or H ii region at the location of FRB 20180916B to have an H alpha luminosity L-H alpha less than or similar to 10(37) erg s(-1), and we correspondingly constrain the local star formation rate to be less than or similar to 10(-4) M yr(-1). The constraint on H alpha suggests that possible stellar companions to FRB 20180916B should be of a cooler, less massive spectral type than O6V. FRB 20180916B is 250 pc away (in projected distance) from the brightest pixel of the nearest young stellar clump, which is similar to 380 pc in size (FWHM). With the typical projected velocities of pulsars, magnetars, or neutron stars in binaries (60-750 km s(-1)), FRB 20180916B would need 800 kyr to 7 Myr to traverse the observed distance from its presumed birth site. This timescale is inconsistent with the active ages of magnetars (less than or similar to 10 kyr). Rather, the inferred age and observed separation are compatible with the ages of high-mass X-ray binaries and gamma-ray binaries, and their separations from the nearest OB associations.

72 citations

Journal ArticleDOI
TL;DR: In this article, the authors summarize the basic physics of FRBs and discuss the current research progress in this area, including the observational property, propagation effect, population study, radiation mechanism, source model, and application in cosmology.
Abstract: In 2007, a very bright radio pulse was identified in the archival data of the Parkes Telescope in Australia, marking the beginning of a new research branch in astrophysics. In 2013, this kind of millisecond bursts with extremely high brightness temperature takes a unified name, fast radio burst (FRB). Over the first few years, FRBs seemed very mysterious because the sample of known events was limited. With the improvement of instruments over the last five years, hundreds of new FRBs have been discovered. The field is now undergoing a revolution and understanding of FRB has rapidly increased as new observational data increasingly accumulate. In this review, we will summarize the basic physics of FRBs and discuss the current research progress in this area. We have tried to cover a wide range of FRB topics, including the observational property, propagation effect, population study, radiation mechanism, source model, and application in cosmology. A framework based on the latest observational facts is now under construction. In the near future, this exciting field is expected to make significant breakthroughs.

63 citations

Journal ArticleDOI
TL;DR: In this paper , the authors presented a growing, but still mysterious, population of fast radio burst (FRB) sources, 60 unique sources, 2 repeating FRBs, and only 1 identified host galaxy.
Abstract: Since the discovery of the first fast radio burst (FRB) in 2007, and their confirmation as an abundant extragalactic population in 2013, the study of these sources has expanded at an incredible rate. In our 2019 review on the subject we presented a growing, but still mysterious, population of FRBs -- 60 unique sources, 2 repeating FRBs, and only 1 identified host galaxy. However, in only a few short years new observations and discoveries have given us a wealth of information about these sources. The total FRB population now stands at over 600 published sources, 24 repeaters, and 19 host galaxies. Higher time resolution data, sustained monitoring, and precision localisations have given us insight into repeaters, host galaxies, burst morphology, source activity, progenitor models, and the use of FRBs as cosmological probes. The recent detection of a bright FRB-like burst from the Galactic magnetar SGR~1935+2154 provides an important link between FRBs and magnetars. There also continue to be surprising discoveries, like periodic modulation of activity from repeaters and the localisation of one FRB source to a relatively nearby globular cluster associated with the M81 galaxy. In this review, we summarise the exciting observational results from the past few years. We also highlight their impact on our understanding of the FRB population and proposed progenitor models. We build on the introduction to FRBs in our earlier review, update our readers on recent results, and discuss interesting avenues for exploration as the field enters a new regime where hundreds to thousands of new FRBs will be discovered and reported each year.

57 citations

Journal ArticleDOI
TL;DR: In this article , the authors presented the localization and host galaxies of one repeating and two apparently non-repeating Fast Radio Bursts (FRB) and analyzed the host galaxy properties.
Abstract: We present the localization and host galaxies of one repeating and two apparently non-repeating Fast Radio Bursts. FRB20180301A was detected and localized with the Karl G. Jansky Very Large Array to a star-forming galaxy at $z=0.3304$. FRB20191228A, and FRB20200906A were detected and localized by the Australian Square Kilometre Array Pathfinder to host galaxies at $z=0.2430$ and $z=0.3688$, respectively. We combine these with 13 other well-localized FRBs in the literature, and analyze the host galaxy properties. We find no significant differences in the host properties of repeating and apparently non-repeating FRBs. FRB hosts are moderately star-forming, with masses slightly offset from the star-forming main-sequence. Star formation and low-ionization nuclear emission-line region (LINER) emission are major sources of ionization in FRB host galaxies, with the former dominant in repeating FRB hosts. FRB hosts do not track stellar mass and star formation as seen in field galaxies (more than 95% confidence). FRBs are rare in massive red galaxies, suggesting that progenitor formation channels are not solely dominated by delayed channels which lag star formation by Gigayears. The global properties of FRB hosts are indistinguishable from core-collapse supernovae (CCSNe) and short gamma-ray bursts (SGRBs) hosts, and the spatial offset (from galaxy centers) of FRBs is mostly inconsistent with that of the Galactic neutron star population (95% confidence). The spatial offsets of FRBs (normalized to the galaxy effective radius) also differ from those of globular clusters (GCs) in late- and early-type galaxies with 95% confidence.

56 citations

References
More filters
Journal ArticleDOI
TL;DR: In this article, a reprocessed composite of the COBE/DIRBE and IRAS/ISSA maps, with the zodiacal foreground and confirmed point sources removed, is presented.
Abstract: We present a full-sky 100 μm map that is a reprocessed composite of the COBE/DIRBE and IRAS/ISSA maps, with the zodiacal foreground and confirmed point sources removed. Before using the ISSA maps, we remove the remaining artifacts from the IRAS scan pattern. Using the DIRBE 100 and 240 μm data, we have constructed a map of the dust temperature so that the 100 μm map may be converted to a map proportional to dust column density. The dust temperature varies from 17 to 21 K, which is modest but does modify the estimate of the dust column by a factor of 5. The result of these manipulations is a map with DIRBE quality calibration and IRAS resolution. A wealth of filamentary detail is apparent on many different scales at all Galactic latitudes. In high-latitude regions, the dust map correlates well with maps of H I emission, but deviations are coherent in the sky and are especially conspicuous in regions of saturation of H I emission toward denser clouds and of formation of H2 in molecular clouds. In contrast, high-velocity H I clouds are deficient in dust emission, as expected. To generate the full-sky dust maps, we must first remove zodiacal light contamination, as well as a possible cosmic infrared background (CIB). This is done via a regression analysis of the 100 μm DIRBE map against the Leiden-Dwingeloo map of H I emission, with corrections for the zodiacal light via a suitable expansion of the DIRBE 25 μm flux. This procedure removes virtually all traces of the zodiacal foreground. For the 100 μm map no significant CIB is detected. At longer wavelengths, where the zodiacal contamination is weaker, we detect the CIB at surprisingly high flux levels of 32 ± 13 nW m-2 sr-1 at 140 μm and of 17 ± 4 nW m-2 sr-1 at 240 μm (95% confidence). This integrated flux ~2 times that extrapolated from optical galaxies in the Hubble Deep Field. The primary use of these maps is likely to be as a new estimator of Galactic extinction. To calibrate our maps, we assume a standard reddening law and use the colors of elliptical galaxies to measure the reddening per unit flux density of 100 μm emission. We find consistent calibration using the B-R color distribution of a sample of the 106 brightest cluster ellipticals, as well as a sample of 384 ellipticals with B-V and Mg line strength measurements. For the latter sample, we use the correlation of intrinsic B-V versus Mg2 index to tighten the power of the test greatly. We demonstrate that the new maps are twice as accurate as the older Burstein-Heiles reddening estimates in regions of low and moderate reddening. The maps are expected to be significantly more accurate in regions of high reddening. These dust maps will also be useful for estimating millimeter emission that contaminates cosmic microwave background radiation experiments and for estimating soft X-ray absorption. We describe how to access our maps readily for general use.

15,988 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a reprocessed composite of the COBE/DIRBE and IRAS/ISSA maps, with the zodiacal foreground and confirmed point sources removed.
Abstract: We present a full sky 100 micron map that is a reprocessed composite of the COBE/DIRBE and IRAS/ISSA maps, with the zodiacal foreground and confirmed point sources removed. Before using the ISSA maps, we remove the remaining artifacts from the IRAS scan pattern. Using the DIRBE 100 micron and 240 micron data, we have constructed a map of the dust temperature, so that the 100 micron map can be converted to a map proportional to dust column density. The result of these manipulations is a map with DIRBE-quality calibration and IRAS resolution. To generate the full sky dust maps, we must first remove zodiacal light contamination as well as a possible cosmic infrared background (CIB). This is done via a regression analysis of the 100 micron DIRBE map against the Leiden- Dwingeloo map of H_I emission, with corrections for the zodiacal light via a suitable expansion of the DIRBE 25 micron flux. For the 100 micron map, no significant CIB is detected. In the 140 micron and 240 micron maps, where the zodiacal contamination is weaker, we detect the CIB at surprisingly high flux levels of 32 \pm 13 nW/m^2/sr at 140 micron, and 17 \pm 4 nW/m^2/sr at 240 micron (95% confidence). This integrated flux is ~2 times that extrapolated from optical galaxies in the Hubble Deep Field. The primary use of these maps is likely to be as a new estimator of Galactic extinction. We demonstrate that the new maps are twice as accurate as the older Burstein-Heiles estimates in regions of low and moderate reddening. These dust maps will also be useful for estimating millimeter emission that contaminates CMBR experiments and for estimating soft X-ray absorption.

14,295 citations

Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, Monique Arnaud3, M. Ashdown4  +334 moreInstitutions (82)
TL;DR: In this article, the authors present a cosmological analysis based on full-mission Planck observations of temperature and polarization anisotropies of the cosmic microwave background (CMB) radiation.
Abstract: This paper presents cosmological results based on full-mission Planck observations of temperature and polarization anisotropies of the cosmic microwave background (CMB) radiation. Our results are in very good agreement with the 2013 analysis of the Planck nominal-mission temperature data, but with increased precision. The temperature and polarization power spectra are consistent with the standard spatially-flat 6-parameter ΛCDM cosmology with a power-law spectrum of adiabatic scalar perturbations (denoted “base ΛCDM” in this paper). From the Planck temperature data combined with Planck lensing, for this cosmology we find a Hubble constant, H0 = (67.8 ± 0.9) km s-1Mpc-1, a matter density parameter Ωm = 0.308 ± 0.012, and a tilted scalar spectral index with ns = 0.968 ± 0.006, consistent with the 2013 analysis. Note that in this abstract we quote 68% confidence limits on measured parameters and 95% upper limits on other parameters. We present the first results of polarization measurements with the Low Frequency Instrument at large angular scales. Combined with the Planck temperature and lensing data, these measurements give a reionization optical depth of τ = 0.066 ± 0.016, corresponding to a reionization redshift of . These results are consistent with those from WMAP polarization measurements cleaned for dust emission using 353-GHz polarization maps from the High Frequency Instrument. We find no evidence for any departure from base ΛCDM in the neutrino sector of the theory; for example, combining Planck observations with other astrophysical data we find Neff = 3.15 ± 0.23 for the effective number of relativistic degrees of freedom, consistent with the value Neff = 3.046 of the Standard Model of particle physics. The sum of neutrino masses is constrained to ∑ mν < 0.23 eV. The spatial curvature of our Universe is found to be very close to zero, with | ΩK | < 0.005. Adding a tensor component as a single-parameter extension to base ΛCDM we find an upper limit on the tensor-to-scalar ratio of r0.002< 0.11, consistent with the Planck 2013 results and consistent with the B-mode polarization constraints from a joint analysis of BICEP2, Keck Array, and Planck (BKP) data. Adding the BKP B-mode data to our analysis leads to a tighter constraint of r0.002 < 0.09 and disfavours inflationarymodels with a V(φ) ∝ φ2 potential. The addition of Planck polarization data leads to strong constraints on deviations from a purely adiabatic spectrum of fluctuations. We find no evidence for any contribution from isocurvature perturbations or from cosmic defects. Combining Planck data with other astrophysical data, including Type Ia supernovae, the equation of state of dark energy is constrained to w = −1.006 ± 0.045, consistent with the expected value for a cosmological constant. The standard big bang nucleosynthesis predictions for the helium and deuterium abundances for the best-fit Planck base ΛCDM cosmology are in excellent agreement with observations. We also constraints on annihilating dark matter and on possible deviations from the standard recombination history. In neither case do we find no evidence for new physics. The Planck results for base ΛCDM are in good agreement with baryon acoustic oscillation data and with the JLA sample of Type Ia supernovae. However, as in the 2013 analysis, the amplitude of the fluctuation spectrum is found to be higher than inferred from some analyses of rich cluster counts and weak gravitational lensing. We show that these tensions cannot easily be resolved with simple modifications of the base ΛCDM cosmology. Apart from these tensions, the base ΛCDM cosmology provides an excellent description of the Planck CMB observations and many other astrophysical data sets.

10,728 citations

Journal ArticleDOI
TL;DR: In this article, the spectral evolution of stellar populations at ages between 100,000 yr and 20 Gyr at a resolution of 3 A across the whole wavelength range from 3200 to 9500 A for a wide range of metallicities.
Abstract: We present a new model for computing the spectral evolution of stellar populations at ages between 100,000 yr and 20 Gyr at a resolution of 3 A across the whole wavelength range from 3200 to 9500 A for a wide range of metallicities. These predictions are based on a newly available library of observed stellar spectra. We also compute the spectral evolution across a larger wavelength range, from 91 A to 160 micron, at lower resolution. The model incorporates recent progress in stellar evolution theory and an observationally motivated prescription for thermally-pulsing stars on the asymptotic giant branch. The latter is supported by observations of surface brightness fluctuations in nearby stellar populations. We show that this model reproduces well the observed optical and near-infrared colour-magnitude diagrams of Galactic star clusters of various ages and metallicities. Stochastic fluctuations in the numbers of stars in different evolutionary phases can account for the full range of observed integrated colours of star clusters in the Magellanic Clouds. The model reproduces in detail typical galaxy spectra from the Early Data Release (EDR) of the Sloan Digital Sky Survey (SDSS). We exemplify how this type of spectral fit can constrain physical parameters such as the star formation history, metallicity and dust content of galaxies. Our model is the first to enable accurate studies of absorption-line strengths in galaxies containing stars over the full range of ages. Using the highest-quality spectra of the SDSS EDR, we show that this model can reproduce simultaneously the observed strengths of those Lick indices that do not depend strongly on element abundance ratios [abridged].

10,384 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present results based on full-mission Planck observations of temperature and polarization anisotropies of the CMB, which are consistent with the six-parameter inflationary LCDM cosmology.
Abstract: We present results based on full-mission Planck observations of temperature and polarization anisotropies of the CMB. These data are consistent with the six-parameter inflationary LCDM cosmology. From the Planck temperature and lensing data, for this cosmology we find a Hubble constant, H0= (67.8 +/- 0.9) km/s/Mpc, a matter density parameter Omega_m = 0.308 +/- 0.012 and a scalar spectral index with n_s = 0.968 +/- 0.006. (We quote 68% errors on measured parameters and 95% limits on other parameters.) Combined with Planck temperature and lensing data, Planck LFI polarization measurements lead to a reionization optical depth of tau = 0.066 +/- 0.016. Combining Planck with other astrophysical data we find N_ eff = 3.15 +/- 0.23 for the effective number of relativistic degrees of freedom and the sum of neutrino masses is constrained to < 0.23 eV. Spatial curvature is found to be |Omega_K| < 0.005. For LCDM we find a limit on the tensor-to-scalar ratio of r <0.11 consistent with the B-mode constraints from an analysis of BICEP2, Keck Array, and Planck (BKP) data. Adding the BKP data leads to a tighter constraint of r < 0.09. We find no evidence for isocurvature perturbations or cosmic defects. The equation of state of dark energy is constrained to w = -1.006 +/- 0.045. Standard big bang nucleosynthesis predictions for the Planck LCDM cosmology are in excellent agreement with observations. We investigate annihilating dark matter and deviations from standard recombination, finding no evidence for new physics. The Planck results for base LCDM are in agreement with BAO data and with the JLA SNe sample. However the amplitude of the fluctuations is found to be higher than inferred from rich cluster counts and weak gravitational lensing. Apart from these tensions, the base LCDM cosmology provides an excellent description of the Planck CMB observations and many other astrophysical data sets.

9,745 citations

Related Papers (5)