Multimessenger observations

The advent of the first binary neutron star observation, GW170817 :cite:`2017PhRvL.119p1101A`, to be observed by detectors served as the advent of a new era in observational astrophysics, with now able to sit alongside conventional electromagnetic observations to probe the astrophysical nature of some of the most extreme events in the universe.

When the same astrophysical object or event is observed through multiple different observational approaches, or messengers the event is deemed to be a event. There are four messengers of which observations are currently made: electromagnetic radiation, gravitational waves, high-energy particles, and cosmic rays 1.

Multimessenger astronomy: A very brief history

While the discovery of GW170817 marked the beginning of with , it did not mark the beginning of as a field. The earliest observations can be traced to astroparticle observations of the solar flares in the 1940s :cite:`2015paas.book.....S`. The observation of SN1987A, a type-II supernova in the Large Magellanic Cloud, was made first in visible light at Las Campanas, but also later in ultraviolet. Around three hours prior to the event’s detection in , a number of observatories detected a burst of antineutrinos (with around 25 particles observed across three observatories). The first detection of gravitational waves was made in 2015, with the observation of a coalescence, and just under two years later the first observation of from a coalescence was made, which coincided with a observed by the Fermi satellite. An extensive observing campaign was launched as a result of these observations, with observatories covering the entire spectrum making observations of the event. These will be discussed in detail in the section discussing GW170817.

Multimessenger astrophysical sources

The anticipated sources of gravitational wave signals fall into two broad categories: transient sources, which produce a burst of over a short period of time; and sources, which produce continuously. A number of transient sources are considered as promising targets for astronomy, and these are often referred to as bright.

Black hole coalescences

EM

GW

HEN

CR

No

Yes

No

No

events are not generally anticipated to be promising sources for emission, despite being the most frequently observed source of , and the result of the most energetic events in the observed universe. There has, however, been speculation that under certain circumstances emission could be produced as a result of a coalescence :cite:`2016ApJ...819L..21L,2017ApJ...839L...7D`, partly driven by the apparent observation of gamma rays around following the signal from GW150914 :cite:`2016ApJ...826L...6C}` 2.

Neutron star coalescences

EM

GW

HEN

CR

Yes

Yes

?

No

In contrast to coalescences, mergers are expected to produce large quantities of radiation. These have long been assumed to be the source of , and the observation of GW170817 provided strong confirmation that they are the engine for at least a subset of observed .

The initial emission is expected to be from high-energy, collimated gamma rays from the initial fireball.

kilonova

UV through IR emission from nuclear processes in the ejecta :cite:`2010MNRAS.406.2650M`.

radio emission

Resulting from the interaction of the jet with the interstellar medium.

Supernovae

EM

GW

HEN

CR

Yes

?

Yes

No

emission from supernova has been observed since 1064CE, when the which created the Crab Nebula occurred and was observed by astronomers in China (although an event in 0185 which was also observed in China may also have been a supernova). The first observation of a occurred in 1987, SN 1987A, which was close enough (in the Large Magellanic Cloud) that it could be observed in detail as it evolved. are known to emit thermal neutrinos (neutrinos were detected from SN 1987A :cite:`1988PhRvD..38..448H`) and there are potential mechanisms for the production of high energy neutrinos in as well :cite:`2019arXiv190712506M`. We expect to be produced during a core-collapse thanks to the asymmetrical nature of the explosion, but the physics of are poorly understood, and as a result the strength of signals from is unknown.

Blazars

EM

GW

HEN

CR

Yes

No

Yes

?

A blazar is an with a relativistic jet which is directed towards the observer. A muon neutrino was detected from the blazar TXS 0506+056 on 22 September 2017: the blazar had previously been observed in radio, but this was the first detection of a source. TXS 0506+056 is also a gamma ray source, and the 2017 neutrino event coincided with it flaring in gamma rays. This some evidence that TXS 0506+056 should be a source of pions, since the production of is likely a result of pion decay. No cosmic rays from this source have been observed, however.

Pulsars

EM

GW

HEN

CR

Yes

?

No

No

Pulsars are neutron stars which produce a relativistic jet which can be observed in radio. Neutron stars are known to be extremely spherical, however any ellipticity or irregularities in the shape (like mountains) will result in the star having a quadrupole moment, and therefore producing as it rotates. To date no from pulsars have been observed, and this allows an upper limit to be placed on the size of any mountains on the surface of nearby pulsars (as of O2 the largest mountain would be around \(\SI{5}{\centi\meter}\) :cite:`2019PhRvD..99l2002A` 3).

Preparing GW alerts

While detections can be interesting in their own right, the development of relies on rapid communication between the detectors and observatories. This is challenging, as not all events are likely to produce emission, and the location of the event in the sky must be determined. Once these quantities are determined events are reported using the and on GraceDB (see https://gracedb.ligo.org/superevents/public/O3/).

Localising GW signals on the sky

If a network of at least two geographically separated detectors observes a signal it is possible to ascertain the location in the sky, \(\hat{\vec{\Omega}}\), from the difference in arrival times between the two sites. For a detector at a position, \(\vec{r}_{D}\), and an arbitrary reference location, \(\vec{r}_{0}\), this time delay, \(\delta t\), will be

\[\label{eq:intro:detectors:timedelay} \delta t (\hat{\vec{\Omega}}) = \frac{1}{c} (\vec{r}_{0} - \vec{r}_{D}) \cdot \hat{\vec{\Omega}}.\]

This allows the location of the signal to be confined to a ring on the sky corresponding to constant \(\Delta t\). Examples of these rings for a source are plotted in figure [fig:det:advanced-timing]. Timing uncertainty in the signal, which arises both from clock uncertainties and uncertainties in defining a reference point in the received signal increase the area of this region. As more detectors are added to the network it is possible to reduce this area, as increasing the number of detector pairs works to reduce the sky area compatible with the observed delay times.

The isochrones for the 2nd generation detectors.

Isochrones for the three detector pairs in the advanced network. For a single detector pair the localisation is a ring; with three detectors there are three pairs of detectors, and so three rings, and we can reduce the plausible locations the signal could have come from to the two places where all of the rings overlap. Isochrones for the three detector pairs in the advanced network. For a single detector pair the localisation is a ring; with three detectors there are three pairs of detectors, and so three rings, and we can reduce the plausible locations the signal could have come from to the two places where all of the rings overlap.

Additional localisation information can be attained from the observed amplitude of the signal in each detector. The signal will be convolved with the antenna pattern (see figure [fig:det:aligo-antenna]); as each detector is insensitive to some regions of the sky, the total plausible localisation of the signal is reduced.

For a approaching the detector from an azimuth (relative to one of the arms) and altitude (relative to the plane of the detector), \((\alpha, \delta)\) on the sky these patterns for the \(+\)- and \(\times\)-polarisations, \(F_{+}\) and \(F_{\times}\), will be

\[\begin{split}\begin{aligned} \label{eq:detectors:antennapattern:plus} F_{+} &= \frac{1}{2} (1 + \sin^{2}\delta) \cos 2\alpha \cos 2\psi - \sin\delta\sin 2 \alpha \sin 2 \psi \\ F_{\times} &= \frac{1}{2} (1 + \sin^{2}\delta) \cos 2\alpha \sin 2\psi - \sin\delta\sin 2 \alpha \cos 2 \psi.\end{aligned}\end{split}\]

where \(\phi\) is the polarisation angle of the .

Determining EM bright

It’s important to be able to determine if the source of a is likely to produce radiation which can be observed by conventional observatories. An important part of this is determining if the source of a signal was a or a . To do this we need to consider two quantities: the of the system, which can be measured directly from the waveform, and the compactness of the system, which can be determined by identifying the moment that the system merges in the waveform.

The , \(\chirpmass\), can be determined if the frequency, \(f_{\text{GW}}\), and the frequency derivative, \(\dot{f}_{\text{GW}}\), with respect to time of the are measured :cite:`2017AnP...52900209A`:

\[\label{eq:chirp-mass-frequency} \chirpmass = \frac{c^3}{G} \left[ \left( \frac{5}{96} \right)^{3} \pi^{-8} f_{\text{GW}}^{-11} \dot{f}_{\text{GW}}^{3} \right]^{1/5}.\]

This can be integrated with respect to time to remove the explicit dependence on \(\dot{f}_{\text{GW}}\):

\[ \begin{align}\begin{aligned} \label{eq:chirp-mass-frequency-int} f_{\text{GW}}^{-8/3} (t) = \frac{(8 \pi)^{8/3}}{5} \left( \frac{G \chirpmass}{c^3} \right)^{5/3} (t_{\text{c}} - t),\\where :math:`t_{\text{c}}` is the time at which the two objects\end{aligned}\end{align} \]

coalesce. Thanks to this equation it is possible to determine the chirp mass using the time periods between zero-crossings of the signal.

The gives an important indicator that a system is a rather than a , since there are good physical reasons to believe neutron stars have an upper mass limit (the Tolman-Oppenheimer-Volkoff limit) around \(2.17\,\solMass\). It does not, however, exclude the system being the result of two low-mass black holes coalescing. To exclude this possibility we must calculate the compactness of the binary close to the merger: black holes are physically denser and more compact than neutron stars, and so can produce a more compact orbit before merging.

The compactness of the system will be affected by spin and orbital eccentricity, but for simplicity we can consider the compactness of a non-spinning system where the orbit close to the merger is almost circular 4. This can be determined by measuring the frequency of the orbit immediately prior to the merger, \(\omega_{\text{max}}\), which coincides with the time when the amplitude is greatest (recalling that the frequency is twice the orbital frequency). The orbital separation, \(R\) of the objects in the binary is

\[ \begin{align}\begin{aligned} \label{eq:oribital-separation} R = \left( \frac{GM}{\omega_{\text{max}}^2} \right)^{1/3},\\where :math:`M` is the total mass of the binary.\end{aligned}\end{align} \]

For a similar to GW150914, where \(M \approx 70\,\solMass\) we find that \(R = \SI{350}{\kilo\meter}\): this is small in comparison to the normal diameters of stars, but it’s a little difficult to see the implications of this for compact objects.

To help with this we introduce the compactness ratio, \(\mathcal{R}\), which is the ratio of \(R\) to the Schwarzchild radius, which is the smallest possible radius of a compact object.

\[r = \frac{2Gm}{c^{2}} \approx 2.95 \left( \frac{m}{\solMass} \right) \,\text{km}\]

In the GW150914-like case above \(\mathcal{R} \approx 1.7\), since the Schwarzchild radius of the individual objects is \(\SI{103}{\kilo\meter}\). For a system we expect \(\mathcal{R}\) between around \(2\) and \(5\).

Transient astronomy

Gamma-ray burst observatories

There are currently four major gamma-ray burst observatories located on Earth-orbitting satellites.

A gamma ray detector on the Neil Gehrels Swift Observatory with a large field of view (over 1 steradian with high positional accuracy, and three with lower accuracy–the whole sky is \(4 \pi\) steradians) which can roughly localise a within 15 seconds.

A gamma ray detector on the Fermi Gamma-ray Space Telescope which is composed of twelve scintillation detectors giving whole-sky coverage (except for the part of the sky obscured by the Earth).

INTEGRAL

The INTEGRAL satellite, like , provides all-sky coverage and localisation of .

AGILE

A gamma ray telescope with a narrower field of view than the other three instruments which are dedicated to detection, but which has observed a large number of .

The proposed THESEUS mission, under development by the European Space Agency is a and X-ray observatory planned for launch around 2032. The timing of this mission’s launch would mean that both THESEUS and would be observing simultaneously.

Optical surveys

Optical surveys are an important aspect of transient astronomy, and they promise to allow very rapid detection of short-lived astrophysical events such as supernovae and kilonovae. While sky surveys are nothing new in the world of astronomy, dating back to the development of catalogues such as Messier’s in the 18th Century, the ability to conduct a survey over a very large area of the sky very rapidly has only become possible thanks to development in both sensor technology and data processing techniques in the last decade. A current example of such a survey telescope is the :cite:`2014htu..conf...27B`, which is capable of imaging a 47 square degree area of the sky in a single exposure, allowing the entire Northern hemisphere sky to be imaged every three nights, to a limiting magnitude around 20.5. The produces large quantities of data every night, but this will be dwarfed by the quantity of data produced by the . This facility, which has been designed specifically for rapid all-sky surveys (compared to , which is an instrument placed on an exisiting telescope) will produce around ten times more data, around 15 terabytes per night, proving a formidable challenge to both data processing and analysis. Other important programmes in transient astronomy include the One-Meter Two-Hemisphere collaboration (comprising the Swope Supernova Survey in Chile, and the Nickel Telescope in California) who were the first to discover the optical counterpart to GW170817 :cite:`2017Sci...358.1556C`, and on a somewhat longer timescale, ESA’s Gaia mission :cite:`2019IAUS..339...12B`.

Challenges for GW event follow-up

While preparing alerts based on observations is challenging, attempting to make observations to follow these up is not without problems. The localisation of most events is poor, meaning that the event could originate anywhere within a large patch (or large patches) of the sky. The majority of observatories can perform observations over only a small field of view, however, and the emission related to a event may be short-lived. As a result an observatory must be able to rapidly survey a large area of sky with high sensitivity.

The sky localisations which are published by detectors are divided into observing “tiles” by each follow-up observatory . The size of each tile will vary depending on the sensitivity and field-of-view of the telescope. Each tile is then prioritised using probability information from the analysis :cite:`2017ApJ...834...84C,2019MNRAS.489.5775C`, and taking into account difficulties in moving the telescope and the period of local night.

GW170817: A case-study

[sec:gw170817]

|image|

On 17 August 2017, during the second observing run of advanced LIGO, and a few days after advanced Virgo had started making observations a signal, GW170817, was detected by both LIGO detectors and the Virgo detector. In contrast to previous detections which had all been signals, GW170817 was identified as being produced by a system.

Independently of the detection the Fermi and INTEGRAL satellites detected a slightly less than two seconds after the time the was detected in . GCN alerts were issued rapidly for both the Fermi detection (within 14 seconds) and the LIGO/Virgo detection (within 40 minutes).

The (recently-expanded) three detector network initially localised the signal to within 31 square degrees in the southern celestial hemisphere, however later analysis allowed this to be reduced to a 28 square degree patch of sky. The localisation areas from the various detections are shown in figure [fig:gw170817-localisation] for the detections in green and the detections in blue.

The three-detector localisation was calculated by around 17:54 UTC, which allowed telescopes in South America to search the localisation area for an optical transient 5. The Swope supernova survey was the first collaboration to observe the transient :cite:`2017ApJ...848L..12A,2017Sci...358.1556C` (although six observatories would independently discover the optical counterpart :cite:`2017ApJ...848L..12A`). The optical counterpart was observed in NGC 4993.

The highly-precise localisation which was produced by imaging the optical counterpart allowed observations to be made across the entire spectrum.

Ultraviolet emission was detected 15.3 hours after the event by Swift, and 9 days later X-ray emission was detected by the Chandra X-ray Observatory. 16 days after the was observed radio emission was observed by the VLA in New Mexico.

observations continued until 2019, with the Hubble Space Telescope unable to detect any optical afterglow after 584 days :cite:`2019ApJ...883L...1F`. Superluminal radio emission was also reported :cite:`2018Natur.561..355M` between 75 and 230 days after the merger.

Cosmology from multimessenger astronomy

The observation of an counterpart to GW170817 allowed the galaxy it originated in to be identified. In turn this allowed the recession velocity of the to be determined with high precision from its redshift. The detection allows the distance to the source to be measured directly (although with a fairly large uncertainty, thanks to a degeneracy between the distance to the source and the angle at which it is inclined relative to the observer.

Since the distance, \(d\), and recession velocity, \(v\), are related by Hubble’s Law,

\[\label{eq:hubble-law} v = H_{0} d\]

if we know both \(v\) and \(d\) we can infer \(H_{0}\).

The distance to the source of GW170817 inferred from the is \(d = \SI[parse-numbers=false]{48.8^{+2.9}_{-6.9}}{\mega\parsec}\), and the measured recession velocity is \(v = \SI{3017\pm166}{\kilo\meter\ \second^{-1}}\).

This allowed \(H_{0}\) to be inferred to be \(\SI[parse-numbers=false]{70.0^{+12.0}_{-8.0}}{\kilo\meter\ \second^{-1}\ \mega\parsec^{-1}}\)

While we get the greatest amount of information from events which can be localised by observations, it is also possible to infer the Hubble constant using only observations. This means that events can be used, which are much more frequently observed than events.

In order to make inferences without knowing which galaxy the event occurred in we need accurate three-dimensional galaxy catalogues. By identifying a list of galaxies which lie within the localised volume (through the sky localisation and distance estimate of the ) we can use a Bayesian analysis to combine the inferences from each plausible galaxy to give an overall estimate :cite:`2019arXiv190806050G,2019arXiv190806060T`.

From the first two observation runs’ detections it is possible to update the GW170817-only estimate of \(H_{0}\) to \(\SI[parse-numbers=false]{68.0^{+14.0}_{-7.0}}{\kilo\meter\ \second^{-1}\ \mega\parsec^{-1}}\)

GW follow-up of EM events

In addition to attempts to identify electromagnetic counterparts to signals, there are ongoing efforts to identify signals produced by events observed by observatories. Thanks to the near-continuous, all-sky, broadband observations made by a network of detectors, it is possible to conduct searches for counterparts in high-latency in recorded data (whereas an observatory may need to be pointed to the appropriate area of sky, for example).

There have been targeted searches for from , motivated by observations. The sky localisation provided by the observation simplifies the process of searching for the signal :cite:`2019arXiv190803584T`.

Pulsars are the most promising source of continuous , and since these are observed by radio telescopes, which can determine their rotation frequency we can target searches for from pulsars both by sky location and frequency (the frequency is twice the rotation frequency, since are emitted from the quadrupole mode). To date we’ve not been successful in detecting from pulsars, but the non-detection allows us to place limits on the physical properties of known pulsars :cite:`2019PhRvD..99l2002A`. Pulsars are also observed to glitch when observed in radio: a glitch is a sudden change in the rotational frequency of the pulsar; the mechanism which causes these is poorly understood, but may produce . The time at which these glitches occur is well known from observations, so searches for these can be carried out over a short stretch of data :cite:`2019PhRvD.100f4058K`.

Observations are made of frequently, and events are known to be a progenitor source for these events. These events are very well localised in time, however gamma ray detectors are not normally able to give a very precise sky localisation for an event, so a search can be made over a short span of detector data, but a large sky area :cite:`2019arXiv190701443T`.

The future: multi-band multimessenger astronomy

The current generation of detectors are designed to operate in a frequency range where the merger and ringdown components of a or low-mass system will produce a detectable signal. However, space-based detectors, such as , will be able to make observations at much lower frequencies. As a result the inspiral of these events will be observable for a much longer period of time than is currently possible.

For an inspiralling event the frequency of the inspiral signal can be used to predict the time at which the two systems will merge :cite:`1994PhRvD..50.7111S`. This means if the lowest frequency a detector can measure an inspiral signal at is \(f_{\text{low}}\) then the time, \(t\), between observing the start of the inspiral and the merger is approximately

\[ \begin{align}\begin{aligned}\begin{split} \begin{aligned} \label{eq:sources:cbc:time-until-coalescence} t &\approx \frac{5}{256} \left( \frac{G \chirpmass}{c^3} \right)^{-\frac{5}{3}} ( \pi f_{\text{low}} )^{- \frac{8}{3}} \\ &\approx 2.16 \left(\frac{\chirpmass}{1.22 \solMass} \right)^{-\frac{5}{3}} \left( \frac{f_{\text{low}}}{\SI{100}{\hertz}} \right)^{- \frac{8}{3}} \quad\text{sec}\end{aligned}\end{split}\\where :math:`\chirpmass` is the . For a system the will be around\end{aligned}\end{align} \]

\(\SI{1.25}{\solMass}\).

1

Within the solar system, and more broadly, the heliosphere, it’s possible to argue that additional messengers exist, for example, through sample return missions, or magnetometer measurements, however, these are not available for the vast majority of the universe, so I’ll not give them any further consideration here.

2

Though it’s generally accepted that this was a coincidence, as no event following this one has been coincident with an event, and the poor localisation of the GW150914 signal provides little evidence that the two events were spatially coincident.

3

If the Earth was equivalently spherical the highest mountains would be around \(\SI{25}{\meter}\) high.

4

For a fuller discussion of the effects of spin and the orbit on the determination of the orbital compactness see section 4 of :cite:`2017AnP...52900209A`.

5

The search was complicated by the proximity of the search region to the sun, which meant observations were only possible shortly after the onset of twilight for optical telescopes.