Abstract

We combine constraints on galaxy formation histories with planet formation models, yielding the Earth-like and giant planet formation histories of the Milky Way and the Universe as a whole. In the Hubble volume (1013 Mpc3), we expect there to be ∼1020 Earth-like and ∼1020 giant planets; our own galaxy is expected to host ∼109 and ∼1010 Earth-like and giant planets, respectively. Proposed metallicity thresholds for planet formation do not significantly affect these numbers. However, the metallicity dependence for giant planets results in later typical formation times and larger host galaxies than for Earth-like planets. The Solar system formed at the median age for existing giant planets in the Milky Way, and consistent with past estimates, formed after 80 per cent of Earth-like planets. However, if existing gas within virialized dark matter haloes continues to collapse and form stars and planets, the Universe will form over 10 times more planets than currently exist. We show that this would imply at least a 92 per cent chance that we are not the only civilization the Universe will ever have, independent of arguments involving the Drake equation.

1 INTRODUCTION

Early estimates of the planet formation history of the Universe (Livio 1999; Lineweaver 2001) suggested that the Earth formed after 75–80 per cent of other similar planets, even when considering potential galactic habitable zones (Lineweaver, Fenner & Gibson 2004). Since that time, thousands of exoplanets have been found, aided by the Kepler mission (Lissauer, Dawson & Tremaine 2014). Many advances have been made in the past decade, especially in our understanding of how planet formation depends on the mass and metallicity of the host star (Fischer & Valenti 2005; Buchhave et al. 2012; Wang & Fischer 2013; Buchhave et al. 2014; Gonzalez 2014; Lissauer et al. 2014; Reffert et al. 2015). Concurrently, constraints on galaxies’ star formation and metallicity histories have been improving rapidly (Maiolino et al. 2008; Mannucci et al. 2010; Moustakas et al. 2011; Behroozi, Wechsler & Conroy 2013e; Peeples & Somerville 2013; Muñoz & Peeples 2015).

In this paper, we combine recent planet frequency models (Buchhave et al. 2014; Lissauer et al. 2014) with reconstructed galaxy formation histories (Maiolino et al. 2008; Behroozi et al. 2013e) to update constraints on the planet formation history of the Milky Way and the Universe as a whole, both for Earth-like planets and for giant planets. We adopt a flat, Λ cold dark matter (CDM) cosmology with ΩM = 0.27, |$\Omega _\Lambda = 0.73$|⁠, h = 0.7, ns = 0.95, and σ8 = 0.82, similar to recent WMAP9 constraints (Hinshaw et al. 2013); the initial mass function (IMF) is assumed to follow Chabrier (2003) from 0.1 to 100  M.

2 METHODOLOGY

While planet formation can depend on host star mass, new stars’ masses are drawn from a nearly universal distribution (Chabrier 2003). When averaged over an entire galaxy, the planet formation rate (PFR) is then proportional to the galaxy's star formation rate, modified by the PFR's metallicity dependence. Using a power-law parametrization for this metallicity dependence (see e.g. Fischer & Valenti 2005; Gonzalez 2014), we model the PFR of a galaxy as a function of its stellar mass (M*(t)) and cosmic time (t),
(1)
where n is the mean number of planets formed per star, α is the power-law dependence of planet incidence on metallicity, Z(M*, t) is the galaxy's mean gas-phase metallicity, 〈m*〉 = 0.67 M is the mean mass of a newly formed star (Chabrier 2003), and SFR(M*, t) is the galaxy's star formation rate in  M yr−1. Additional factors (e.g. stellar IMFs and densities) influencing the PFR are discussed in Appendix A.

For giant planets (R > 6 R; including, e.g. Jupiter and Saturn), the metallicity (specifically, [Fe/H]) dependence is long-established (Fischer & Valenti 2005); recent estimates suggest nG ∼ 0.022 and αG ∼ 3.0 (Gonzalez 2014), albeit with significant systematic uncertainties. To define Earth-like (i.e. ‘habitable zone’) planets, we adopt the same definition as Lissauer et al. (2014), requiring that planets with an Earth-like atmosphere could support stable surface reservoirs of liquid water. Effectively, this includes all objects whose radii and orbital periods are within a factor of e of those of the Earth (Lissauer et al. 2014). In the Solar system, this would include Mars and Venus, but exclude, e.g. Mercury and the Moon. The metallicity dependence for Earth-like planets is believed to be smaller than for giant planets (Buchhave et al. 2012; Campante et al. 2015), with recent estimates suggesting αE ∼ 0–0.7 (Wang & Fischer 2013; Lissauer et al. 2014). This range of αE has only a small impact on our results, so we conservatively take αE = 0 (i.e. no metallicity dependence) for Earth-like planets. However, Johnson & Li (2012) suggest a theoretical minimum metallicity threshold for Earth-like planet formation of [Fe/H] |$\sim -1.5 + \log _{10}\left(\frac{r}{\mathrm{{\rm au}}}\right)$| (with r the orbital radius), so we mark a fiducial threshold of [Fe/H] = −1.5 in all relevant plots. For nE, Kepler has provided the largest statistical samples (Catanzarite & Shao 2011); Lissauer et al. (2014) suggest an incidence of ∼0.1 Earth-like planets per Sun-like star. Habitable zones are expected to exist only around 0.6–1.4  M (K to F5-class) stars (Kasting, Whitmire & Reynolds 1993; Kopparapu et al. 2014), which make up 14.8 per cent of stars by number (Chabrier 2003), so we take nE = 0.015.

Behroozi et al. (2013e) determined SFR(M*, t) for galaxies up to ∼13 Gyr ago (z = 8), covering >90 per cent of all star formation (Behroozi, Wechsler & Conroy 2013b). The methodology is detailed in Appendix B; briefly, it involves linking galaxies at one redshift to galaxies with the same cumulative number densities at another redshift to trace their stellar mass buildup, as the most massive galaxies at one redshift will tend to remain the most massive galaxies at later redshifts. The full computation also involves corrections for scatter in galaxy growth histories and galaxy–galaxy mergers (Behroozi et al. 2013d,f). Knowing the stellar mass history of galaxies, one may use observed metallicity–stellar mass–redshift relations (e.g. Maiolino et al. 2008; Moustakas et al. 2011) or metallicity–stellar mass–star formation rate relations (e.g. Mannucci et al. 2010) to determine galaxy metallicity histories (see also Muñoz & Peeples 2015). Here, we use the fitting function in Maiolino et al. (2008), which is constrained for z < 3.5 (<11.7 Gyr ago), mildly extrapolated over the same redshift range as our star formation histories. As Maiolino et al. (2008) measure oxygen abundance ratios ([O/H]), we use the formula [Fe/H] = −0.1 + 1.182 [O/H] (from fitting Milky Way stellar abundances in the SDSS-III APOGEE; Holtzman et al. 2015) to convert to iron abundance ratios. If all stars instead had solar iron-to-oxygen ratios, our derived giant planet abundance would increase by ∼0.3 dex.

3 RESULTS

The resulting PFRs from equation (1) are shown in the top panels of Fig. 1. Similar to star formation (Behroozi et al. 2013e), PFRs per galaxy are greatest at early times in massive galaxies. Indeed, Earth-like PFRs are exactly proportional to galaxy star formation rates (scaled by nE = 0.0073) in our assumed model. The planet formation history of the Milky Way (present-day M* = 5–7 × 1010 M, from current Bayesian models; Licquia & Newman 2015) can be inferred by integrating PFR(M*, t) along the median growth history for Milky Way-sized galaxies (dashed line, top panels of Fig. 1). The planet formation history of the Universe, here expressed as the average volume density of planet formation, is obtained by multiplying PFR (M*, t) by the volume density of galaxies as a function of stellar mass and cosmic time (ϕ(M*, t), discussed in Appendix B).

Top-left panel: formation rate (in planets/yr) for Earth-like planets as a function of galaxy stellar mass and cosmic time. The dashed line indicates the median expected growth history of the Milky Way (Behroozi et al. 2013e). The dot–dashed line indicates [Fe/H] = −1.5, which has been suggested (Johnson & Li 2012) as the threshold metallicity for planet formation. Grey shaded areas indicate where galaxies are not expected to exist in the observable Universe. Top-right panel: same, for giant planets. Bottom-left panel: Earth-like PFR multiplied by galaxy number density as a function of stellar mass and cosmic time, i.e. the volume density of planet formation (in planets/yr/comoving Mpc3 dex−1). Contours indicate where 50 and 90 per cent of all planet formation has taken place. The ⊙ symbol indicates the Milky Way's stellar mass and age at the formation of the Solar system. Bottom-right panel: same, for giant planets.
Figure 1.

Top-left panel: formation rate (in planets/yr) for Earth-like planets as a function of galaxy stellar mass and cosmic time. The dashed line indicates the median expected growth history of the Milky Way (Behroozi et al. 2013e). The dot–dashed line indicates [Fe/H] = −1.5, which has been suggested (Johnson & Li 2012) as the threshold metallicity for planet formation. Grey shaded areas indicate where galaxies are not expected to exist in the observable Universe. Top-right panel: same, for giant planets. Bottom-left panel: Earth-like PFR multiplied by galaxy number density as a function of stellar mass and cosmic time, i.e. the volume density of planet formation (in planets/yr/comoving Mpc3 dex−1). Contours indicate where 50 and 90 per cent of all planet formation has taken place. The ⊙ symbol indicates the Milky Way's stellar mass and age at the formation of the Solar system. Bottom-right panel: same, for giant planets.

The product of PFR with ϕ shows when and where all Earth-like and giant planets formed (Fig. 1, bottom panels). Typical galaxy masses at the time of planet formation are ∼1010.5 M, regardless of planet type. However, because of their metallicity bias, giant planets form later than Earth-like planets. Giant planet formation is rare in galaxies below 109 M; while the Magellanic Clouds may have some giant planets, it is unlikely that lower mass dwarf satellite galaxies of the Milky Way will have any. In both cases, the Johnson & Li (2012) minimum metallicity threshold is a weak one, as the vast majority of star formation has taken place at [Fe/H] > −1.5. We find that total planet densities would be lowered by <10 per cent for Earth-like planets and ≪0.01 per cent for giant planets with this metallicity threshold (Fig. 1, bottom panels). However, this threshold would strongly diminish the number of Earth-like planets formed around stars older than 12 billion years in the Milky Way (Fig. 1), which is so far consistent with the age of the oldest observed star with Earth-like companions (11.2 ± 1.0 Gyr; Campante et al. 2015).

We show total planet formation histories and rates from equation (1) for the Milky Way and the Universe in Fig. 2. In the Universe's observable volume (1013 Mpc3), these results would imply ∼1020 Earth-like planets and a similar number of giant planets.1 Errors are dominated by planet incidence rates (nE and nG), which are uncertain at the 0.5–1 dex level (Lissauer et al. 2014) due to different detection efficiency estimates. Smaller systematic errors (0.2–0.3 dex) come from uncertainties in IMFs, stellar population modelling in galaxies, and variation in individual galaxy star formation histories and metallicities (Behroozi, Conroy & Wechsler 2010; Peeples et al. 2014).

Top-left panel: total Earth-like and giant planets formed in the Milky Way as a function of cosmic time. Giant planet counts have been shifted by a factor of 5 to allow better comparison with the Earth-like planet formation history. Top-right panel: average planet density in the Universe as a function of cosmic time. Earth-like planet formation tracks the galaxy/cosmic star formation rates, whereas giant planet formation times are greater at late times due to their metallicity dependence. Blue squares mark the median formation times of each population. The vertical dotted line indicates the formation time of the Solar system, which occurred after 80 per cent of present-day Earth-like planets and 50 per cent of present-day giant planets were formed in the Milky Way. Bottom panels: PFRs and densities, respectively, for the Milky Way and the Universe as a whole. Uncertainties in all estimates are ∼1 dex, arising from uncertainties in planet detection rates with Kepler.
Figure 2.

Top-left panel: total Earth-like and giant planets formed in the Milky Way as a function of cosmic time. Giant planet counts have been shifted by a factor of 5 to allow better comparison with the Earth-like planet formation history. Top-right panel: average planet density in the Universe as a function of cosmic time. Earth-like planet formation tracks the galaxy/cosmic star formation rates, whereas giant planet formation times are greater at late times due to their metallicity dependence. Blue squares mark the median formation times of each population. The vertical dotted line indicates the formation time of the Solar system, which occurred after 80 per cent of present-day Earth-like planets and 50 per cent of present-day giant planets were formed in the Milky Way. Bottom panels: PFRs and densities, respectively, for the Milky Way and the Universe as a whole. Uncertainties in all estimates are ∼1 dex, arising from uncertainties in planet detection rates with Kepler.

4 DISCUSSION

We discuss the Solar system's relative formation time (Section 4.1) and its relation to the expected number of future civilizations (Section 4.2).

4.1 Formation time of the Solar system

Fig. 2 shows that the Earth formed later than ∼80 per cent of similar planets in both the Milky Way and the Universe, matching previous findings (Livio 1999; Lineweaver 2001). Comparatively, the Solar system (including Jupiter) formed closer to the median formation time for giant planets. This is not evidence for or against giant planets being prerequisite for life as there is a strong observer bias (Fig. 3). When calculating the age of our own planet, we are really calculating the time tc that it took our own species and civilization to evolve. If tc were extremely long, many new planets would have formed later than our own planet but before intelligent life evolved – so we would have concluded that our planet formed early compared to most other planets. However, as tc is shorter than the current doubling time, td, for stellar mass in the Milky Way (tc = 4.6 Gyr and td ∼ 20 Gyr), fewer planets have had time to form while civilization has developed. Hence, the ‘late’ formation time of our own planet speaks more to the ratio of tc to td than to conditions for habitability.

The relative formation time of one's own planet depends on the time it takes one's civilization to form. As shown above, planet formation continues while civilizations are developing. Many planets will form if a civilization is slow to develop, so by the time it is able to calculate its own planet's formation time relative to others (∼ the time when it develops telescopes), it will find that its planet formed early. In contrast, a rapidly developing civilization (e.g. ours) reaches that stage earlier, giving the Universe less time to make more planets; the civilization will then find that its own planet formed late relative to most others.
Figure 3.

The relative formation time of one's own planet depends on the time it takes one's civilization to form. As shown above, planet formation continues while civilizations are developing. Many planets will form if a civilization is slow to develop, so by the time it is able to calculate its own planet's formation time relative to others (∼ the time when it develops telescopes), it will find that its planet formed early. In contrast, a rapidly developing civilization (e.g. ours) reaches that stage earlier, giving the Universe less time to make more planets; the civilization will then find that its own planet formed late relative to most others.

This observer bias can be removed if we calculate our formation time relative to all the planets which will ever be formed. The Milky Way is expected to merge with Andromeda (M31) in ∼4 Gyr (Cox & Loeb 2008), forming a single object with total (dark matter and baryonic) mass 3.17 × 1012 M (van der Marel et al. 2012). Using fitting formulae in Behroozi, Loeb & Wechsler (2013a) for its continued mass growth, we expect that its total mass will asymptote to 3.9 × 1012 M. Haloes of these masses are expected to have approximately the cosmic baryon fraction (16.5 per cent; Hinshaw et al. 2013) of their mass in gas and stars (Werk et al. 2014), which translates to 6.4 × 1011 M of baryonic matter within the eventual halo. The present-day combined stellar masses of the Milky Way (Licquia & Newman 2015) and M31 (Tamm et al. 2012) are ∼1.8 × 1011 M; correcting for the ∼30 per cent of stellar mass lost in normal stellar evolution (Chabrier 2003), this leaves 3.9 × 1011 M of gas in the halo available for future star formation. As the remaining gas eventually cools and forms stars (as is expected to occur over the next trillion years; Adams & Laughlin 1997; Tutukov, Shustov & Wiebe 2000; Nagamine & Loeb 2004), this implies that the Earth has actually formed earlier than ∼61 per cent of all planets that will ever form in the Milky Way–M31 group.

Repeating this calculation for the Universe as a whole, we note that only 8 per cent of the currently available gas around galaxies (i.e. within dark matter haloes) had been converted into stars at the Earth's formation time (Behroozi et al. 2013b). Even discounting any future gas accretion on to haloes, continued cooling of the existing gas would result in Earth having formed earlier than at least 92 per cent of other similar planets. For giant planets, which are more frequent around more metal-rich stars, we note that galaxy metallicities rise with both increasing cosmic time and stellar mass (Maiolino et al. 2008), so that future galaxies’ star formation will always take place at higher metallicities than past galaxies’ star formation. As a result, Jupiter would also have formed earlier than at least ∼90 per cent of all past and future giant planets.

As shown in Fig. 2, PFRs have declined significantly since z ∼ 2 (for Earth-like planets) and z ∼ 1 (for giant planets), primarily because of declines in the cosmic star formation rate. If these declines continue, most of the additional planets formed in both the Universe and the Milky Way will be in the very far future (100 Gyr to 1 Tyr from now) compared to the current age of the Universe (∼13.8 Gyr; Hinshaw et al. 2013). Hence, as the Universe's accelerating expansion is rapidly reducing the number of observable galaxies (Loeb 2002; Nagamine & Loeb 2003), most future planets formed in other galaxies will not be visible from the Milky Way.

4.2 Probability of other civilizations

The Drake equation (Drake & Sobel 1992) for calculating the number of intelligent, communicative civilizations (hereafter, just ‘civilizations’) is famously uncertain, with estimates of the civilization incidence per habitable planet ranging from 10−5 (Sagan 1963) to arbitrarily small values (e.g. <10−30, combining pessimistic estimates from Carter 1983; Ward & Brownlee 2000; Schermer 2002; Spiegel & Turner 2012). Combined with our estimates of the number of Earth-like planets (Section 3) and the fact of our existence, this would result in 1–1015 civilizations in the Universe and 1–104 in the Milky Way at the present time.

The formation time of our planet (compared to all which will ever form) gives weak but independent constraints on the total number of planets with civilizations which will ever exist. Intuitively, if we were the only civilization the Universe will ever have, the Copernican principle suggests that it is unlikely for our planet to have formed so early relative to other similar ones.2 As an example, we can calculate an upper bound for the chance that the Universe will only ever have a single civilization (corresponding to civilization incidences of <10−21 per habitable planet). For this upper bound, we adopt the prior that Earth is the first planet with a civilization to have formed – any possibility that Earth is not the first is incompatible with there being only one civilization. We find using Bayes’ rule that the probability of there being N civilizations total is then
(2)
where f = 0.92 is the fraction of planets which have yet to form, E = 1 is the assumption that the Earth has the first civilization, and P(N) is the prior on the number of planets with civilizations. Because equation (2) falls off exponentially for large civilization numbers N, it is only necessary to know the prior P(N) over a modest dynamic range (1 ≤ N ≤ 1000). The orders-of-magnitude uncertainties on parameters in the Drake equation suggest that the prior P(N) on the number of planets with civilizations should be a lognormal distribution with an exceptionally large width (≳20 dex). Locally, then, it is an excellent approximation to take P(N) as uniform in logarithmic space (i.e. |$P(N) \propto \frac{1}{N}$|⁠) for 1 ≤ N ≤ 1000.

The resulting probability distribution for the total number of planets with civilizations is shown in Fig. 4. The large fraction of planet formation which has not yet taken place (f = 0.92) implies at most an 8 per cent chance of us being the only civilization the Universe will ever have. More typically, the expected total number of planets with civilizations would be 〈N〉 = 12.5.

Probability for the total number of planets with civilizations in the Universe, given that the Earth formed before 92 per cent of similar planets expected to exist. If Earth is the nth planet since the big bang to have formed a civilization, then the average (expected) total number of planets with civilizations scales as 12.5n. Even for the most conservative possible assumption (i.e. that Earth was the first planet formed that evolved an intelligent civilization), it is unlikely that we will be the only civilization that the Universe will ever have (black line). As the number of earlier planets with civilizations increases (red and blue lines), it becomes more and more likely that the Universe will have many more civilizations than currently exist. For comparison, if the Milky Way today contained another civilization, it is likely that Earth would be at least the ten billionth planet to host a civilization in the observable universe, which would eventually contain at least a hundred billion civilizations.
Figure 4.

Probability for the total number of planets with civilizations in the Universe, given that the Earth formed before 92 per cent of similar planets expected to exist. If Earth is the nth planet since the big bang to have formed a civilization, then the average (expected) total number of planets with civilizations scales as 12.5n. Even for the most conservative possible assumption (i.e. that Earth was the first planet formed that evolved an intelligent civilization), it is unlikely that we will be the only civilization that the Universe will ever have (black line). As the number of earlier planets with civilizations increases (red and blue lines), it becomes more and more likely that the Universe will have many more civilizations than currently exist. For comparison, if the Milky Way today contained another civilization, it is likely that Earth would be at least the ten billionth planet to host a civilization in the observable universe, which would eventually contain at least a hundred billion civilizations.

As noted above, Earth being the first planet with a civilization is a very conservative assumption. For example, if the Milky Way today had another planet with a civilization (∼10−9 civilizations per habitable planet), then Earth would be at least the ten billionth planet with a civilization in the observable Universe. Generalizing the problem, we suppose that Earth is the Eth planet with a civilization. By Poisson statistics, the larger E is, the better the relative constraints on N will be. This is exactly analogous to an exposure time calculation: the more photons E that arrive in an 8 s exposure, the better one can predict the total number of photons N if the exposure were extended to a full 100s. For planets, the generalized probability distribution is given by
(3)
which is a binomial distribution with a pre-factor (NE + 1). As shown in Fig. 4, the expected total number of planets with civilizations scales as 〈N〉 = 12.5E, and the relative uncertainties on this total drop as |${\sim } \frac{1}{\sqrt{E}}$|⁠. Hence, the more planets with civilizations which have formed before the Earth, the more likely it is for the Universe to continue forming many more in its future.

5 CONCLUSIONS

Current constraints on galaxy and planet formation suggest as follows.

  • The Milky Way contains ∼109 Earth-like and ∼1010 giant planets (Section 3).

  • The Hubble volume contains ∼1020 Earth-like planets and a similar number of giant planets (Section 3).

  • A metallicity threshold of [Fe/H] = −1.5 has very limited effects on total planet counts (Section 3).

  • Earth-like and giant planets both formed primarily in 1010.5 M galaxies; however, giant planets are much rarer than Earth-like planets in low-mass galaxies (Section 3).

  • Giant planets have median ages ∼2.5 Gyr younger than Earth-like planets (Section 3).

  • The Solar system formed after 80 per cent of existing Earth-like planets (in both the Universe and the Milky Way), after 50 per cent of existing giant planets in the Milky Way, and after 70 per cent of existing giant planets in the Universe (Section 4.1).

  • Assuming that gas cooling and star formation continues, the Earth formed before 92 per cent of similar planets that the Universe will form. This implies a <8 per cent chance that we are the only civilization the Universe will ever have (Section 4.2).

We thank Fred Behroozi, Mario Livio, Tom Quinn, I. Neill Reid, Joseph Silk, Jason Tumlinson, and the anonymous referee for their very helpful comments and suggestions. PSB was supported by a Giacconi Fellowship from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555.

Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the US Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/.

SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University.

1

The number of observable planets in our past lightcone, as opposed to planets currently in the Hubble volume, is ∼1019 for both Earth-like and giant planets.

2

Our formation time relative to other habitable planets in the Milky Way is unexceptional (Section 4.1), giving little information on the total number of civilizations our galaxy will have. Additional systematics for how planet migration/scattering affect civilization formation are discussed in Appendix A.

3

The z = 0 stellar mass–halo mass relation has six parameters: characteristic M* and Mh, a faint-end slope, a bright-end shape, a faint-bright transition shape, and the scatter in M* at fixed Mh. For each z = 0 parameter, another variable controls the evolution to intermediate (z ∼ 1) redshifts, and a third variable controls the evolution to high (z > 3) redshifts.

REFERENCES

Adams
F. C.
Laughlin
G.
Rev. Mod. Phys.
1997
69
337

Adams
F. C.
Hollenbach
D.
Laughlin
G.
Gorti
U.
ApJ
2004
611
360

Adams
F. C.
Proszkow
E. M.
Fatuzzo
M.
Myers
P. C.
ApJ
2006
641
504

Behroozi
P. S.
Conroy
C.
Wechsler
R. H.
ApJ
2010
717
379

Behroozi
P. S.
Loeb
A.
Wechsler
R. H.
J. Cosmol. Astropart. Phys.
2013a
6
19

Behroozi
P. S.
Wechsler
R. H.
Conroy
C.
ApJ
2013b
762
L31

Behroozi
P. S.
Wechsler
R. H.
Wu
H.-Y.
ApJ
2013c
762
109

Behroozi
P. S.
Wechsler
R. H.
Wu
H.-Y.
Busha
M. T.
Klypin
A. A.
Primack
J. R.
ApJ
2013d
763
18

Behroozi
P. S.
Wechsler
R. H.
Conroy
C.
ApJ
2013e
770
57

Behroozi
P. S.
Marchesini
D.
Wechsler
R. H.
Muzzin
A.
Papovich
C.
Stefanon
M.
ApJ
2013f
777
L10

Bouwens
R. J.
et al.
ApJ
2011
737
90

Bouwens
R. J.
et al.
ApJ
2012
754
83

Bradley
L. D.
et al.
ApJ
2012
760
108

Buchhave
L. A.
et al.
Nature
2012
486
375

Buchhave
L. A.
et al.
Nature
2014
509
593

Burke
C. J.
Gaudi
B. S.
DePoy
D. L.
Pogge
R. W.
AJ
2006
132
210

Campante
T. L.
et al.
ApJ
2015
799
170

Carter
B.
Phil. Trans. R. Soc. A
1983
310
347

Catanzarite
J.
Shao
M.
ApJ
2011
738
151

Chabrier
G.
PASP
2003
115
763

Clarke
C. J.
MNRAS
2007
376
1350

Conroy
C.
van Dokkum
P. G.
ApJ
2012
760
71

Cox
T. J.
Loeb
A.
MNRAS
2008
386
461

Cumming
A.
Butler
R. P.
Marcy
G. W.
Vogt
S. S.
Wright
J. T.
Fischer
D. A.
PASP
2008
120
531

Davé
R.
MNRAS
2008
385
147

Davies
M. B.
Adams
F. C.
Armitage
P.
Chambers
J.
Ford
E.
Morbidelli
A.
Raymond
S. N.
Veras
D.
Beuther
H.
Klessen
R. S.
Dullemond
C. P.
Henning
T.
Protostars and Planets VI
2014
Tuscan, AZ
Univ. Arizona Press
787

Drake
F.
Sobel
D.
Is Anyone Out There? The Scientific Search for Extraterrestrial Intelligence
1992
New York
Delacorte Press

Fischer
D. A.
Valenti
J.
ApJ
2005
622
1102

Gonzalez
G.
MNRAS
2014
443
393

Hinshaw
G.
et al.
ApJS
2013
208
19

Holtzman
J. A.
et al.
2015
preprint (arXiv:1501.04110)

Johnson
J. L.
Li
H.
ApJ
2012
751
81

Kasting
J. F.
Whitmire
D. P.
Reynolds
R. T.
Icarus
1993
101
108

Kennedy
G. M.
Kenyon
S. J.
ApJ
2008
673
502

Klypin
A. A.
Trujillo-Gomez
S.
Primack
J.
ApJ
2011
740
102

Kopparapu
R. K.
Ramirez
R. M.
SchottelKotte
J.
Kasting
J. F.
Domagal-Goldman
S.
Eymet
V.
ApJ
2014
787
L29

Kravtsov
A. V.
Klypin
A. A.
ApJ
1999
520
437

Kravtsov
A. V.
Klypin
A. A.
Khokhlov
A. M.
ApJS
1997
111
73

Licquia
T. C.
Newman
J. A.
ApJ
2015
806
96

Lineweaver
C. H.
Icarus
2001
151
307

Lineweaver
C. H.
Fenner
Y.
Gibson
B. K.
Science
2004
303
59

Lissauer
J. J.
Dawson
R. I.
Tremaine
S.
Nature
2014
513
336

Livio
M.
ApJ
1999
511
429

Loeb
A.
Phys. Rev. D
2002
65
047301

McLure
R. J.
et al.
MNRAS
2011
418
2074

Maiolino
R.
et al.
A&A
2008
488
463

Malmberg
D.
Davies
M. B.
Heggie
D. C.
MNRAS
2011
411
859

Mannucci
F.
Cresci
G.
Maiolino
R.
Marconi
A.
Gnerucci
A.
MNRAS
2010
408
2115

Meibom
S.
et al.
Nature
2013
499
55

Montalto
M.
et al.
A&A
2007
470
1137

Moustakas
J.
et al.
2011
preprint (arXiv:1112.3300)

Moustakas
J.
et al.
ApJ
2013
767
50

Muñoz
J. A.
Peeples
M. S.
MNRAS
2015
448
1430

Nagamine
K.
Loeb
A.
New Astron.
2003
8
439

Nagamine
K.
Loeb
A.
New Astron.
2004
9
573

Peeples
M. S.
Somerville
R. S.
MNRAS
2013
428
1766

Peeples
M. S.
Werk
J. K.
Tumlinson
J.
Oppenheimer
B. D.
Prochaska
J. X.
Katz
N.
Weinberg
D. H.
ApJ
2014
786
54

Quinn
S. N.
et al.
ApJ
2012
756
L33

Reffert
S.
Bergmann
C.
Quirrenbach
A.
Trifonov
T.
Künstler
A.
A&A
2015
574
A116

Sagan
C.
Planet. Space Sci.
1963
11
485

Salpeter
E. E.
ApJ
1955
121
161

Schermer
M.
Sci. Am.
2002
287
33

Shibuya
T.
Ouchi
M.
Harikane
Y.
ApJS
2015
219
15

Sigurdsson
S.
Richer
H. B.
Hansen
B. M.
Stairs
I. H.
Thorsett
S. E.
Science
2003
301
193

Smith
R. J.
MNRAS
2014
443
L69

Smith
R. J.
Lucey
J. R.
Conroy
C.
MNRAS
2015
449
3441

Sonnenfeld
A.
Treu
T.
Gavazzi
R.
Marshall
P. J.
Auger
M. W.
Suyu
S. H.
Koopmans
L. V. E.
Bolton
A. S.
ApJ
2012
752
163

Spiegel
D. S.
Turner
E. L.
Proc. Natl. Acad. Sci.
2012
109
395

Strigari
L. E.
Barnabè
M.
Marshall
P. J.
Blandford
R. D.
MNRAS
2012
423
1856

Sumi
T.
et al.
Nature
2011
473
349

Tamm
A.
Tempel
E.
Tenjes
P.
Tihhonova
O.
Tuvikene
T.
A&A
2012
546
A4

Thompson
T. A.
MNRAS
2013
431
63

Tutukov
A. V.
Shustov
B. M.
Wiebe
D. S.
Astron. Rep.
2000
44
711

van der Marel
R. P.
Fardal
M.
Besla
G.
Beaton
R. L.
Sohn
S. T.
Anderson
J.
Brown
T.
Guhathakurta
P.
ApJ
2012
753
8

van der Wel
A.
et al.
ApJ
2014
788
28

Veras
D.
Raymond
S. N.
MNRAS
2012
421
L117

Wang
J.
Fischer
D. A.
AJ
2013
149
14

Wang
J.
Fischer
D. A.
Horch
E. P.
Xie
J.-W.
ApJ
2015
806
248

Ward
P.
Brownlee
D.
Rare Earth: Why Complex Life is Uncommon in the Universe
2000
New York
Copernicus

Weidner
C.
Kroupa
P.
MNRAS
2006
365
1333

Werk
J. K.
et al.
ApJ
2014
792
8

Williams
J. P.
Cieza
L. A.
ARA&A
2011
49
67

APPENDIX A: ADDITIONAL SYSTEMATICS AFFECTING PLANET FORMATION AND STABILITY

Beyond galaxy star formation rates and metallicities, PFRs could vary with the stellar IMF and the nearby stellar density. For the stellar IMF, host star mass is known to affect both the incidence and survival time of protoplanetary discs (see Williams & Cieza 2011, for a review). If the stellar IMF varied with redshift (Davé 2008) or galaxy mass (Weidner & Kroupa 2006), this would change the distribution of host star masses, correspondingly changing the PFR per unit stellar mass. The Milky Way appears consistent with a non-evolving IMF (Chabrier 2003); more massive galaxies may have formed relatively more stars below 1  M (i.e. a Salpeter 1955 IMF) in the past (Conroy & van Dokkum 2012; Sonnenfeld et al. 2012), although this has been debated (Smith 2014; Smith, Lucey & Conroy 2015).

For Earth-like planets around Sun-like stars, a Salpeter (1955) IMF yields only 30 per cent more mass in F5-K stars than a Chabrier (2003) IMF. For giant planets, the incidence rate scales with host star mass to at least the first power for stars less than 1 M (Cumming et al. 2008; Kennedy & Kenyon 2008), meaning that a Salpeter (1955) IMF would yield at most 70 per cent more giant planets than a Chabrier (2003) IMF. These offsets are well within the 0.5–1 dex uncertainties on the overall planet incidence (Lissauer et al. 2014).

Stellar density may impact protoplanetary disc survival either via radiation (from nearby O stars) or via interactions in dense star clusters (Williams & Cieza 2011). Both would cause a redshift evolution in the PFR per unit stellar mass, because galaxies at high redshifts were (on average) much denser than galaxies today (van der Wel et al. 2014; Shibuya et al. 2015). For example, galaxies at z = 9 are ∼20 times smaller in every direction, resulting in galaxy densities similar to today's globular clusters (Shibuya et al. 2015). Calculations for the effects of nearby O stars suggest, however, that the impact on protoplanetary discs is limited to regions beyond 15 au (e.g. beyond Saturn) even at the dense centres of star clusters (Adams et al. 2004; Clarke 2007), with the effects limited to >50 au (e.g. beyond Neptune) for more typical environments within clusters (cf. Thompson 2013). For interactions, Wang et al. (2015) found that giant planet incidence in binary star systems was only reduced for binary separations less than 20 au; incidence for binary separations between 20 and 200 au was instead mildly enhanced, and incidence at greater separations was similar to individual stars’ incidence rates. As a comparison, stellar densities in globular clusters correspond to typical stellar separations of ∼50 000 au; even for the longest lived (10 Myr) protoplanetary discs, cluster stars will have typical closest approaches of ∼1000 au (Adams et al. 2006).

While PFRs may be relatively insensitive to the nearby environment, the same cannot be said of planet orbit stability over several gigayears (see Davies et al. 2014, for a review). Fortuitous microlensing events have suggested significant numbers of free-floating giant planets (Sumi et al. 2011; Strigari et al. 2012), which could have scattered or migrated from their original birthplaces but may also have formed in situ (Veras & Raymond 2012). In clusters, flybys of stars near planetary systems cause direct ejection, longer term (∼100 Myr post-flyby) destabilization, and increased orbit eccentricities (Malmberg, Davies & Heggie 2011). That said, observational evidence for different planet incidence rates in clusters has been mixed (Sigurdsson et al. 2003; Burke et al. 2006; Montalto et al. 2007; Quinn et al. 2012; Meibom et al. 2013).

Accounting for these effects is beyond the scope of this paper. Instead, we note that typical stars in the Milky Way are 5–10 Gyr old (Behroozi et al. 2013e), so that planets detected around these stars (e.g. with Kepler) are exactly those that have remained bound for long periods of time. Hence, the PFR in this paper is best interpreted as the bound PFR. Even so, there is no guarantee that these planets remained in stable orbits for the lifetimes of their host stars; even mild changes in planet eccentricity could be detrimental to the development of civilizations (Section 4.2). Qualitatively, larger stellar densities in the past would lead to more interactions and therefore less planetary stability. This would reduce the fraction of habitable planets formed before the Earth, proportionally raising the likelihood of future civilizations according to the argument presented in Section 4.2.

APPENDIX B: RECOVERING GALAXY STAR FORMATION HISTORIES

Our reconstruction technique (detailed fully in Behroozi et al. 2013e) uses forward modelling to extract the relationship between stellar mass, halo mass, and redshift (M*(Mh, z)). Briefly, we adopt a flexible parametrization3 for M*(Mh, z). Any M*(Mh, z) in this parameter space may be applied to a dark matter simulation, assigning galaxy stellar masses to every halo at every redshift. Linking haloes across redshifts with merger trees, the implied evolution of galaxy stellar mass, as well as average galaxy star formation rates, can be reconstructed. At the same time, the resulting predictions for observables, including galaxy number densities, galaxy specific star formation rates, and total cosmic star formation rates are available from the assigned stellar masses and inferred star formation rates. Comparing these predictions to observations using a Markov Chain Monte Carlo method, we are able to constrain the allowable form of M*(Mh, z), and consequently the allowable reconstructions for galaxy star formation histories.

Observational constraints are compiled in Behroozi et al. (2013e) from over 40 recent papers. At low redshifts, these include results from SDSS and PRIMUS (Moustakas et al. 2013); at high redshifts, these include constraints on galaxy number densities and star formation rates for z < 8 from Hubble observations (Bouwens et al. 2011, 2012; McLure et al. 2011; Bradley et al. 2012). Note that, above, we generate predictions for galaxy number densities as a function of stellar mass and redshift (ϕ(M*, z)). For calculations involving galaxy number densities in this paper, we use the prediction for ϕ(M*, z) from the best-fitting M*(Mh, z); this gives a smooth form for ϕ(M*, z) which is less susceptible to sample variance than using the individual data sources in our compilation.

We use the Bolshoi dark matter simulation (Klypin, Trujillo-Gomez & Primack 2011) for halo properties (including mass functions and merger rates). Bolshoi follows a periodic, comoving volume 250 h−1 Mpc on a side with 20483 particles (∼8 × 109), each with mass 1.9 × 108  M, and was run with the art code. (Kravtsov, Klypin & Khokhlov 1997; Kravtsov & Klypin 1999) The adopted cosmology (flat ΛCDM; h = 0.7, Ωm = 0.27, σ8 = 0.82, ns = 0.95) is consistent with WMAP9 results (Hinshaw et al. 2013). Halo finding and merger tree construction used the rockstar (Behroozi, Wechsler & Wu 2013c) and consistent trees (Behroozi et al. 2013d) codes, respectively.