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Impact of an Active Sgr A* on the Synthesis of Water and Organic Molecules throughout the Milky Way

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Published 2020 August 17 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Chang Liu et al 2020 ApJ 899 92 DOI 10.3847/1538-4357/aba758

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0004-637X/899/2/92

Abstract

Sgr A*, the supermassive black hole (SMBH) in our Galaxy, is dormant today, but it should have gone through multiple gas-accretion episodes in the past billions of years to grow to its current mass of 4 × 106 M. Each episode temporarily ignites the SMBH and turns the Galactic Center into an active galactic nucleus (AGN). Recently, we showed that the AGN could produce large amounts of hard X-rays that can penetrate the dense interstellar medium in the Galactic plane. Here we further study the impact of X-rays on the molecular chemistry in our Galaxy. We use a chemical-reaction network to simulate the evolution of several molecular species, including H2O, CH3OH, and H2CO, both in the gas phase and on the surface of dust grains. We find that X-ray irradiation could significantly enhance the abundances of these species. The effect is most significant in young, high-density molecular clouds and could be prominent at a Galactic distance of 8 kpc or smaller. The imprint in the chemical abundance is visible even several million years after the AGN turns off.

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1. Introduction

Supermassive black holes (SMBHs) are ubiquitous in the centers of massive galaxies (Kormendy & Ho 2013). In theory, an SMBH grows to its current mass mainly through multiple episodes of gas accretion (Volonteri 2010). In each accretion phase, a significant fraction of the gravitational energy of the gas is released in the form of radiation, and the galaxy center consequently becomes an active galactic nucleus (AGN; Soltan 1982). Analysis of the luminosity function of bright AGNs indicates that the accretion episodes may add up to about 1%–10% of the lifetime of a galaxy (Hopkins & Hernquist 2009; Shankar et al. 2009). The SMBHs in the mass range of $({10}^{6}\mbox{--}{10}^{7}){M}_{\odot }$ on average are more active in the sense that they become AGNs every ${10}^{7}\mbox{--}{10}^{8}$ yr while each active phase only lasts 105–106 yr (Hopkins et al. 2006).

The center of the Milky Way (MW) also harbors an SMBH. It coincides with the bright radio source Sagittarius A* (Sgr A*) and the mass is estimated to be $4\times {10}^{6}\,{M}_{\odot }$ (Genzel et al. 2010). This black hole (BH) is dormant today, but in the past, it should have been active according to the close relationship between SMBH growth and AGN activity (Mezger et al. 1996). One interesting discovery in the last decade is that Sgr A* may have been an AGN just several million years (Myr) ago. This picture is supported by a series of findings, including the Fermi bubble (Su et al. 2010), the bright emission of Hα lines in the Magellanic Stream (Bland-Hawthorn et al. 2013), and the young stellar disk around Sgr A*, which is reminiscent of a relic accretion disk (see Chen & Amaro-Seoane 2015 for a review). The peak luminosity of that recent AGN is unclear, and current estimations fall in a broad range of 3%–100% of the Eddington limit ${L}_{\mathrm{Edd}}\simeq 5\times {10}^{44}\,\mathrm{erg}\,{{\rm{s}}}^{-1}$ (Nayakshin & Cuadra 2005; Bland-Hawthorn et al. 2013). Such a high level of activity is not completely unexpected given the aforementioned frequent activity of low-mass BHs.

Not many works have explored the impact of an active Sgr A* on the habitability of the MW. Early studies identified X-rays and cosmic rays as a potential threat to lives, but they lacked a theoretical framework to quantify the damage (Clarke 1981; Laviolette 1987; Gonzalez 2005). Amaro-Seoane & Chen (2019, Paper I) adopted an empirical AGN spectral energy distribution (SED) and calculated the extinction of light in the Galactic plane. They found that hard X-rays (>2 keV) could reach Earth unattenuated, and the corresponding flux is comparable to an X-class solar flare. They also suspected that the high X-ray irradiation may have a noticeable impact on the molecular chemistry in the MW. Other works ignored the attenuation of light and focused on the evaporation of the planet atmosphere during the AGN irradiation (Balbi & Tombesi 2017; Chen et al. 2018; Forbes & Loeb 2018; Wisłocka et al. 2019). Their general conclusion is that mass loss is significant only within a distance of 1 kpc from Sgr A*. More recently, Lingam et al. (2019) explored possible beneficial effects associated with AGN irradiation, such as prebiotic synthesis of the building blocks of biomolecules and the powering of photosynthesis on free-floating planets. Based on the estimation of the UV flux, they reached a similar conclusion that only in the central kiloparsec of the MW are these effects important.

In this work, we continue our early study of the impact of an active Sgr A* on the habitability of the MW. We focus on hard-X-ray irradiation because, unlike optical and UV, hard-X-ray photons are not attenuated by the gas in the Galactic plane and hence could reach large distances (see Paper I). It is known, from studying the molecular clouds in star-forming regions, that hard X-rays could enhance the abundance of organic molecules such as CN, C2H, and HCN by two to six orders of magnitude (Krolik & Kallman 1983; Lepp & Dalgarno 1996). The main reason is that X-rays, by ionizing atoms and molecules, create energetic electrons (Shull & van Steenberg 1985; Maloney et al. 1996), which, by further interacting with the atoms and molecules, produce reactive ions and radicals (Herbst & Klemperer 1973; Herbst & van Dishoeck 2009). Ions and radicals, compared to neutral species, react more quickly to produce complex molecules (Herbst & van Dishoeck 2009; Wakelam et al. 2010).

Because of the close relationship between X-ray irradiation and the synthesis of organic molecules, we expect an imprint of the recent active Sgr A* on the abundance of complex molecules in the MW. This is a reasonable expectation also because abnormal molecular abundances have been detected in external galaxies with AGNs (Usero et al. 2004). For example, the column densities of H2O and some organic species such as HCN, HCO+, and CH3OH are particularly high in AGNs (González-Alfonso et al. 2010; Davies et al. 2012; Imanishi & Nakanishi 2014; Takano et al. 2014; Harada et al. 2018) compared to those in MW clouds (see below). The canonical explanation of this enhancement is that the AGN produces an X-ray-dominated region (XDR) within a distance of 10–102 pc (Meijerink & Spaans 2005; Meijerink et al. 2007; Viti et al. 2014; Izumi et al. 2015). At such a close distance, the X-ray flux could be as high as ${10}^{2}\,\mathrm{erg}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$, which exceeds the UV radiation produced by the starburst in a galactic nucleus (typically $10\,\mathrm{erg}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$; e.g., García-Burillo et al. 2010; Izumi et al. 2015). As a result, the molecular clouds in this region are ionized mainly by X-rays and heated to a temperature of 100–200 K. Under these conditions, the synthesis of H2O and organic molecules can be enhanced. Besides X-ray irradiation, mechanical heating due to wind or jet also plays an important role in the enhancement of organic molecules, such as HCN (García-Burillo et al. 2014; Izumi et al. 2015; Martín et al. 2015).

Although these previous studies revealed a positive correlation between X-ray irradiation and the abundances of water and organic molecules, we cannot draw directly the conclusion that the past activities of Sgr A* have had a positive impact on the production of water and organic molecules in the MW. The reasons are as follows. (i) We are interested in the molecular clouds throughout the MW, with the distance from the Galactic Center ranging from hundreds of parsecs to 10 kpc. In this distance range, the X-ray flux impinging on the clouds is not as strong as those shown above in AGNs. For example, in Paper I we showed that at the location of the solar system, which is 8 kpc from the Galactic Center, the X-ray flux during the active phase of Sgr A* is a few times ${10}^{-3}\,\mathrm{erg}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$. Such a flux is not much higher than the UV-background radiation in the Galactic plane (Draine 1978). Therefore, our molecular clouds are not in the XDR. In fact, neither the UV background nor the cosmic rays can be ignored in the chemistry model of these clouds. (ii) When the X-ray flux is as low as $0.1\,\mathrm{erg}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$, the molecular clouds would not be significantly heated by X-ray ionization and could remain cold (<50 K; Meijerink et al. 2007). In such a "cold cloud," the dominant chemical reactions and the reaction rates differ from those in an XDR (Herbst & van Dishoeck 2009). It is worth noting that cold clouds represent the initial conditions for the formation of low-mass stars, such as our Sun, and may determine the early chemical composition of solar-like systems. Therefore, it is important to understand the potential impact of the X-ray irradiation on the synthesis of water and organic molecules in them.

In cold clouds, several molecules are synthesized at a relatively early stage, some of which are the building blocks of more complex, larger molecules. Among these "zeroth-generation" species, water (H2O), methanol (CH3OH), and formaldehyde (H2CO) are commonly found in the molecular clouds of the MW (Herbst & van Dishoeck 2009). Therefore, they are particularly interesting to our study. (i) Water is an important molecule involved in the processes leading to the origin of life. It can be synthesized in gas as well as on the surface of dust grains. In cold clouds, the water vapor abundance (relative to H2) is normally ${10}^{-10}-{10}^{-8}$ (Snell et al. 2000), while the surface abundance of water ice is much higher, about 10−4 of H2 (Bergin & Tafalla 2007). Around AGNs, the abundance of water vapor can be as high as 10−6 (González-Alfonso et al. 2010), confirming the positive effect of X-ray irradiation on the synthesis of water molecules. (ii) Methanol (CH3OH) is one of the most common organic molecules detected in cold clouds (Herbst & van Dishoeck 2009). Its abundance varies from 10−9 and below in the gas phase (10 K) to as high as ${10}^{-6}-{10}^{-5}$ in ice (Herbst & van Dishoeck 2009). In AGNs, the gas abundance is typically 10−7 (García-Burillo et al. 2010; Nakajima et al. 2015; Harada et al. 2018). These CH3OH in XDRs may be produced on grains and then released into the gas due to shock. (iii) Formaldehyde (H2CO) is often detected at the surface of a cold cloud. This species may be produced by grain processes deep in the cores of the cloud and later brought to the cloud surface by turbulence (Federman & Allen 1991). In cold clouds, the typical gas abundance is 10−10–10−9 (Carey et al. 1998), but in XDRs, the abundance can be one to two orders of magnitude higher (Harada et al. 2015, 2018).

The chemical process which led to the formation of large, organic molecules in the MW is still under intensive investigation, and the role of the X-rays from Sgr A* is unclear. As a first step toward understanding their possible relationship, we study in this work the synthesis of water and the "zeroth-generation" organic molecules in cold clouds. We pay particular attention to CH3OH and H2CO, for the reasons given above, but we also study several other organic molecules, such as HCN and HCO+, which are known to be enhanced in XDRs (Kohno et al. 2003; Usero et al. 2004; Davies et al. 2012; Imanishi & Nakanishi 2014; Viti et al. 2014; Martín et al. 2015).

This paper is organized as follows. In Section 2 we calculate the X-ray irradiation spectra at different distances from Sgr A*, and we also specify our X-ray chemical model, especially the processes associated with H2O, CH3OH, and H2CO. In Section 3 we describe our simulation of the molecular chemistry induced by X-ray irradiation. The results are presented in Section 4, where we show the dependence of the abundance of different molecules on the distance, column density, and lifetime of a molecular cloud. A possible diagnostic is provided in Section 5 for a future observational test of our theoretical results. We discuss the caveats of our current model in Section 6 and finally summarize our conclusions in Section 7.

2. X-Ray Chemistry in Molecular Clouds

2.1. X-Ray Source

To calculate the X-ray flux during the AGN phase of Sgr A*, we use a numerical model that is described in detail in Liu et al. (2016). This model computes the SED of an accretion disk based on three parameters, the Eddington ratio defined as $\eta := L/{L}_{\mathrm{Edd}}$, where L is the bolometric luminosity of the disk, the X-ray spectral index α, and the magnetic parameter β which characterizes the relative importance between the sum of the gas and radiative pressure and the magnetic pressure. In this model, hard X-rays are produced by a hot corona screening the disk. The solid curves in Figure 1 show the output SED as a function of the Eddington ratio. In the calculation we assume that α = 0.1, β = 100, and the BH mass is 4 × 106 M. We find that when η ≳ 1, the X-ray flux above 2 keV is more or less constant, at a level of a few times ${10}^{-3}\,\mathrm{erg}\,{{\rm{s}}}^{-1}\,{\mathrm{cm}}^{-2}$. This result from numerical simulation is consistent with our analytical estimation in Paper I. When η ≲ 0.5, we find that the luminosity of hard X-ray falls linearly with decreasing Eddington ratio.

Figure 1.

Figure 1. The SED of Sgr A* at a Galactic distance of 8 kpc. The solid curves show the unabsorbed SEDs of the AGN assuming a bolometric luminosity of (3.0, 2.0, 1.0, 0.5, 0.1, 0.05, 0.03, 0.01) times the Eddington luminosity. The dotted–dashed ones account for the extinction at a Galactic distance of 8 kpc.

Standard image High-resolution image

Soft photons are subject to extinction as they propagate in the Galactic plane. To quantify it, we adopt the empirical density profile of the atomic hydrogen ${\rho }_{{\rm{H}}}(R)$ and molecular hydrogen ${\rho }_{{{\rm{H}}}_{2}}(R)$ in the MW (McMillan 2017), and we use the software Xspec5 to calculate the extinction. Because most molecular clouds are inside the Galactic plane, we only consider the horizontal (in-plane) gas distribution. The corresponding column density at a Galactic distance of R is

Equation (1)

The residual SEDs at R = 8 kpc, for example, are shown in Figure 1 as the dotted–dashed curves. We can see that the optical and UV radiation is completely absorbed. For this reason, in our chemistry model we focus on the effects induced by X-rays.

2.2. X-Ray Ionization

It is mainly through ionization that X-ray irradiation could affect the chemistry inside a molecular cloud (Maloney et al. 1996). Other effects, such as Coulomb heating, are less important in an environment where the ionization fraction xe is relatively low. In our model we consider two types of ionization.

Primary ionization, also known as direct photoionization, is caused by an X-ray photon striking an atom (e.g., Latif et al. 2015). The primary ionization rate for a given species i can be calculated with

Equation (2)

where F(E) is the monochromatic X-ray flux incident on the surface of a molecular cloud, ${\sigma }^{i}(E)$ is the photoionization cross section given a photon energy of E (Verner et al. 1996), τ is the optical depth defined as

Equation (3)

and Ni is the column density of a species. In calculating the optical depth, we have taken into account the fact that H (mostly in molecular hydrogen) and He contribute to most of the opacity.

The photoelectrons released in primary ionization could further collide with other atoms and cause secondary ionization (Maloney et al. 1996; Stäuber et al. 2005). In principle, the secondary ionization rate can be calculated with

Equation (4)

where Nsec(E, xe) is the number of secondary ionization events produced by each photoelectron in average. If the energy of the photoelectron is E, this number can be calculated with

Equation (5)

where ${\eta }_{\mathrm{ion}}$ is the fraction of the photoelectron's energy that goes into secondary ionization, Eth is the ionization threshold of an atom, and W is the mean energy needed to produce an ion–electron pair. In practice, we simplify the calculation by adopting the ionization rates presented in Shull & van Steenberg (1985). These rates are derived from a Monte Carlo simulation of the secondary ionization of H and He atoms over a wide range of electron fractions (0.0001 < xe < 1) and photoelectron energies (from 100 eV to several keV).

Although we have two types of ionization in our model, the secondary ionization rate predominates. For example, if we consider a typical value of ${x}_{e}\leqslant 1 \% $ for a cold (T ∼ 10 K) molecular cloud, approximately 40% of the energy of primary photoelectrons goes into secondary ionization. Because the ground state of neutral H has an ionization threshold ${E}_{\mathrm{th}}=13.6\ \mathrm{eV}$, using ηion = 40% and W(E) = Eth, we find that for a typical primary photoelectron with E = 1 keV, the number of secondary ionization events it will cause is ${N}_{\sec }(E,{x}_{e})\approx 30$.

For H2, H, and He, we consider both primary and secondary ionization. For heavy elements (C, N, O, etc.) and molecules (CO, CO2, etc.), we consider only the secondary ionization for simplicity. We assume that the ionizing electrons are mainly from the three most abundant neutral species, i.e., H2, H, and He. Then, the ionization rate of heavy elements and molecules can be derived from

Equation (6)

where σei(E) is the electron-impact cross section at energy E (Maloney et al. 1996; Ádámkovics et al. 2011). We note that heavy elements are usually bound in molecules, but the current derivation of ${\sigma }_{\mathrm{ei}}(E)$ assumes that the cross section is unaffected by the molecular binding energy. Moreover, we notice that the ratio of the cross sections, which appears in the last equation, is insensitive to E (Maloney et al. 1996). For this reason, we use the cross sections at $E=50\,\mathrm{eV}$, which is the typical energy of the secondary electrons.

For completeness, we also consider the destruction of H2 and several other molecules caused by photoionization. For example, photoionization of H2 can have two possible outcomes, pure ionization and dissociation, which can be expressed as

We take the branching ratio suggested by Krolik & Kallman (1983), that the fraction of pure ionization is approximately 80% and that for dissociation is 20%. For other atomic and molecular reactants, we adopt the same products from the OSU chemical database osu_01_2007,6 as well as the corresponding branching ratios for cosmic-ray ionization and dissociation. We choose this database because it was used by Wakelam & Herbst (2008) to explain the molecular abundances observed in the cold dense cores in the MW. These cores represent the initial conditions of the molecular clouds of our own interest. To be able to reproduce the results in Wakelam & Herbst (2008), we did not choose the latest chemical database provided by the OSU group. The later updates included more anions, which are more important for the formation of long carbon chains (Herbst & van Dishoeck 2009).

2.3. Grain Processes

The surface of a dust particle (grain) is an important place for the synthesis of complex molecules. A grain accretes many molecular species to its surface from the surrounding gas, where these molecules can interact more frequently and the chemical reactions such as hydrogenation can proceed more efficiently. Because we are interested in the synthesis of H2O, CH3OH, and H2CO (see Section 1), we include in our model the surface reactions containing the species made of H, C, N, and O. Only those species with no more than two C atoms are selected as we do not study long-carbon-chain species in this work. Table A1 in Appendix A shows the relevant reactions, which are selected from the network presented in Hasegawa et al. (1992). The last column shows the activation energies for those reactions with high energy barriers. This network is sufficient to simulate the species we are interested in. The reaction parameters in this network are still frequently used today, although there are works that extend the reaction mechanisms so that the desorption energy may depend on the fraction of surface coverage by molecules (Garrod & Pauly 2011) and that the molecules in ice mantle could react with each other (Chang & Herbst 2014). More recent grain-surface chemical networks (e.g., Garrod et al. 2008) are usually concerned with the formation of more complex organic molecules, which is not the focus of the current work. On one hand, the abundances of those very complex molecules are usually low, so that including them in our network should have a negligible effect on the species studied in this paper. On the other hand, it may be interesting to ask to what extent those more complex molecules are affected by the mechanisms discussed in the current paper, which may be a topic for future investigation.

We calculate the accretion rate of molecules onto dust grains following the method developed in Hasegawa et al. (1992). We consider accretion, via weak van der Waals forces (physisorption), onto "classic" dust grains, which have a fixed radius ${r}_{d}=1000\ \mathring{\rm A} $, a density of ρ = 3 g cm−3, and Ns = 106 sites for adsorption (the number of molecules that can be absorbed to and held on a dust grain). The dust temperature Td is assumed to be the same as the gas temperature T ∼ 10 K, following the assumption in Hasegawa et al. (1992). This is a reasonable approximation for the clouds at ≳2 kpc but may be too crude for those at 1 kpc. This is because, within 1 kpc from the AGN, the X-ray flux significantly exceeds $0.1\,\mathrm{erg}\,{{\rm{s}}}^{-1}\,{\mathrm{cm}}^{-1}$ so that heating due to ionization cannot be ignored given our cloud density of 104 cm−3 (Meijerink et al. 2007). Moreover, we did not consider the difference between the gas and dust temperatures because the difference is small due to the efficient gas–dust coupling at a high density of ${10}^{4}\,{\mathrm{cm}}^{-3}$ (Goldsmith 2001). Moreover, the reaction rates are insensitive to small temperature changes (at least in the range of temperature of our interest). For the gas-to-dust ratio in mass, we adopt the standard value of 100. We assume that the velocities of the gas species obey the Maxwell distribution. For any species that strikes a dust grain, a sticking probability of 1 is assumed.

For the desorption of molecules, we consider three channels, namely, thermal desorption, cosmic-ray desorption, and photodesorption. (i) Given the adsorption energy ED and dust temperature Td, the thermal evaporation rate can be calculated with ${R}_{\mathrm{evap}}\propto {E}_{D}^{1/2}\exp [-{E}_{D}/{{kT}}_{d}]$ (Hasegawa et al. 1992), where k is the Boltzmann constant. The value of ED for each species is from Allen & Robinson (1977) and Hasegawa & Herbst (1993). We note that although thermal evaporation is common, the rate is negligible for any species heavier than He because of the low temperature in our molecular clouds. (ii) The cosmic-ray-induced desorption rates are calculated as in Hasegawa & Herbst (1993). Every time a cosmic-ray particle strikes a dust grain, the dust temperature is assumed to rise to 70 K immediately and then drop via thermal desorption. (iii) Photodesorption can be induced by either UV or X-ray photons. For UV-induced desorption, we assume a rate of 10−3 molecules per grain per incident UV photon for any species in our grain-surface network (also see Visser et al. 2011). Because UV-induced desorption depends strongly on the visual extinction, which is a function of the optical depths of a molecular cloud, we will study in Section 4.3 the dependence of the rate on the column density of the molecular cloud. The X-ray desorption processes are more complex (see Jiménez-Escobar et al. 2018 for a brief review) and not as well understood both in theory and in experiment. However, X-ray photons are more penetrative than UV photons, so that the interaction happens deeper inside the bulk of a grain and hence does not as often lead to desorption. Therefore, the X-ray desorption is less significant compared to UV photodesorption, and we ignore it in our model.

3. Simulation

We solve the evolution of the chemical network using the public package KROME7 (Grassi et al. 2014). The initial conditions are as follows. Our molecular cloud has a gas temperature of T = 10 K and a density of ${n}_{{\rm{H}}}=2\times {10}^{4}\,{\mathrm{cm}}^{-3}$. The initial abundances of elements are taken from the EA2 model in Wakelam & Herbst (2008), which is based on the high-metal environment observed in the diffuse cloud of ζ Ophiuchi and is modified based on recent observations of cold cores. For the species at different depths of a molecular cloud, we assume that they follow the same initial abundances.

In our model, even when there is no X-ray irradiation, we include a low level of ionization caused by cosmic rays. The corresponding ionization rate is ζ = 1.3 × 10−7 s−1 per hydrogen atom (Wakelam & Herbst 2008). We also include a generic UV background according to Draine (1978). Given the UV flux, we calculate the photoionization and photodesorption rates following the scheme presented in Section 2.

To simulate the impact of the AGN, we turn on X-ray chemistry in the network according to the method described in Sections 2.2 and 2.3. The X-ray SED is calculated assuming a fiducial Eddington ratio of η = 1. The extinction of optical, UV, and soft-X-ray photons by the Galactic plane is taken into account following Section 2.1. Because hard X-rays have relatively low extinction in the Galactic plane, the flux decreases with the distance approximately as R−2. The corresponding values are $(660,120,20,4.2)\times {10}^{-3}\,\mathrm{erg}\,{\mathrm{cm}}^{-2}\,{{\rm{s}}}^{-1}$ at R = (1, 2, 4, 8) kpc. The duration of the X-ray irradiation is set to 106 yr, to be consistent with the empirical evidence (Section 1). After that, we turn off the X-ray and let the network evolve for another 107 yr. By the end of the simulation, we investigate the abundance of the molecular species at different Galactic distances to look for possible imprints of an AGN. In our fiducial model, we use R = 4 kpc (Section 4.1). We also run simulations using R = (1, 2, 8) kpc for comparison (Section 4.2).

We notice that as the system evolves, the chemical abundance is no longer uniformly distributed inside a molecular cloud because the extinction of UV and X-ray radiation varies at different depths of the cloud. The depth h can be characterized by the column density of hydrogen, ${N}_{{\rm{H}}}$, which is related to h as ${N}_{{\rm{H}}}={n}_{{\rm{H}}}\,h$. Therefore, to understand the abundance of molecular species at different depths in a cloud, we run simulations using different ${N}_{{\rm{H}}}$. Given the value of ${N}_{{\rm{H}}}$, the extinction of X-ray inside the cloud is calculated using the optical depth defined in Equation (3). For the extinction of UV photons, we use the empirical relationship

Equation (7)

which is caused mainly by dust (Draine 2011). For reference, the typical visual extinction AV is 8 mag in a dense molecular cloud and could increase to 15 mag in dense cores (Tielens 2010). In our fiducial model, we set ${N}_{{\rm{H}}}={10}^{22.5}$ cm−2 and the corresponding AV is 16.8. We also experiment with ${N}_{{\rm{H}}}={10}^{22}$ and 1023 cm−2 for comparison, and the results are shown in Section 4.3.

We also note that in our fiducial model, the initial chemical abundance is out of equilibrium, in the sense that without X-ray irradiation, the abundance would still evolve relatively quickly, on a timescale of ${10}^{6}\mbox{--}{10}^{7}$ yr. Nevertheless, we choose this initial condition because it agrees better with the observed abundance in several molecular clouds (e.g., Quan & Herbst 2007; Wakelam & Herbst 2008). For old molecular clouds (∼107 yr), the chemical abundance could significantly deviate from our initial condition. To account for this possibility, we run additional simulations in which we evolve our network for 107 yr before we turn on the X-ray irradiation. The results are presented in Section 4.4.

4. Results

4.1. Fiducial Model

In our fiducial model, the Eddington ratio of the AGN is $\eta =1$. The molecular cloud is at a Galactic distance of 4 kpc and has a column density of ${N}_{{\rm{H}}}={10}^{22.5}$ cm−2 (AV = 16.8). The results for the chemical evolution are shown in Figures 2 and 3. In general, the abundances of molecules on the dust grain surface are several orders of magnitude higher than their gas-phase counterparts. This is mainly because at low temperatures (∼10 K) molecules stay on the surface of dust grains, and the grain surface acts as a reaction container and a catalyst leading to much more efficient formation of H2O, CH3OH, etc.

Figure 2.

Figure 2. Abundances of H2O in a molecular cloud 4 kpc away from the galactic center and with a hydrogen column density of ${N}_{{\rm{H}}}={10}^{22.5}$ cm−2. The upper panels show the abundance of H2O in the gas phase and the lower ones show that at the grain surface. The left panels show the first 106 yr of the chemical evolution and the right ones show the later 107 yr. The green solid curves correspond to the model in which the AGN persists, while the green dashed ones correspond to the situation where the AGN is turned off after 106 yr. For comparison, the results when there is no AGN irradiation is shown as the black dotted–dashed curves.

Standard image High-resolution image
Figure 3.

Figure 3. Evolution of the abundances of CH3OH (upper) and H2CO (lower) in the gas phase (left) and on the grain surface (right). The line styles have the same meanings as in Figure 2.

Standard image High-resolution image

For H2O (Figure 2), on the grain surface (lower panels), even without X-rays (the black dotted–dashed curves) the abundance keeps growing during the first ${10}^{5}\mbox{--}{10}^{6}$ yr and afterward saturates. The increase is caused mainly by two surface reactions, (i) H2 + OH → H2O + H and (ii) H + OH → H2O. The first reaction usually predominates because of the high abundance of H2, even though the activation energy is high (Hasegawa et al. 1992). The second one has a much lower energy barrier but the rate is limited by the low concentration of atomic H at the grain surface. The saturation of the water surface abundance in the late stage is due to a balance between the photoevaporation and the formation processes.

If we start X-ray irradiation at the very beginning (green solid curves), the H2O surface abundance increases faster and in the end, slightly exceeds that in the case without X-ray. We find that the first reaction is not significantly affected by the X-ray irradiation, because the H2 surface abundance only slightly decreases. On the contrary, the second reaction becomes faster because the atomic hydrogen abundance increases significantly due to the X-ray dissociation of H2. After we remove the X-ray irradiation at the end of 106 yr (green dashed curve), the surface abundance of H2O stays more or less constant. The value is slightly lower than that in the case of X-ray irradiation because atomic H quickly recombines to form H2, and thus the rate of the second reaction drops.

For the gas phase (the upper panels of Figure 2), when there is no X-ray, the abundance of H2O first increases until a plateau is reached around the time of ${10}^{4}\mbox{--}{10}^{5}$ yr. During this period, ionization leads to the formation of H3+, which is a highly reactive species that can quickly produce OH+, H2O+, and H3O+ (Krolik & Kallman 1983). Gaseous water is synthesized mainly by the recombination of H3O+ with electrons. Around the time of 106 yr, the abundance of gas H2O starts to decrease because materials such as OH+, H2O+, and H3O+ run out following the exhaustion of O, so that the formation of H2O slows down. The final gaseous abundance is limited mainly by the interaction with atomic cations, such as Si+ through the ion–neutral reaction Si+ + H2O → HSiO+ + H.

When X-ray irradiation is turned on, the behavior of the water abundance in the gas phase in similar to that on the grain surface. However, both the rise and fall of the H2O abundance are more prominent, which leads to a higher plateau around 3 × 105 yr and a lower abundance at about ≳106 yr. The sharper evolution is caused by the higher cation density during the X-ray ionization, such as H3+, OH+, and H2O+, during the early formation stage of H2O, as well as the higher abundance of Si+ during the later stage of H2O destruction. After we remove the X-rays, the abundance of H2O first decreases but within about 105 yr recovers the value which is seen in the case of no X-ray irradiation. The recovery is caused by the dissociative recombination, H3O+ + e → H2O + H, as well as the photoevaporation from the grain surface.

For CH3OH, the evolution of the abundance after the first 106 yr is shown in the two upper panels of Figure 3. We do not show the evolution in the first 106 yr because it is a monotonic increase. Also, we are more interested in the molecular abundances millions of years after the AGN turns off. At the grain surface (right panel), when there is no X-ray irradiation, the abundance is almost constant over 107 yr of evolution. The dominant synthesis process is hydrogenation, via CO → HOC → CHOH → CH2OH → CH3OH. When X-ray irradiation is turned on, the abundance of CH3OH becomes more than two orders of magnitude higher. The increase is caused by a faster hydrogenation process, as the result of a larger atomic hydrogen abundance due to the X-ray disassociation. Even after we remove the X-ray, the CH3OH surface abundance stays nearly the same. This is because in our model there is no chemical reaction at the grain surface for CH3OH destruction (also see Hasegawa et al. 1992) and also the photoevaporation of CH3OH is inefficient.

In the gas phase (upper-left panel), without X-ray irradiation, the abundance of CH3OH stays constant for about 106 yr and afterward slightly decreases. Gaseous CH3OH mainly comes from the grain surface, and the later decrease is caused by the reactions with cations, e.g., CH3OH + He+ → OH+ + CH3 + He/OH + CH3+ + He. With X-rays and for the particular Galactic distance of our choice, i.e., 4 kpc, the abundance of CH3OH increases by about one order of magnitude relative to that in the case without X-rays. The increase is closely related to the enhancement of the CH3OH abundance on dust grains. After we remove the X-rays, the abundance increases even more because cations recombine and the destruction of CH3OH slows down.

For H2CO, the results are shown in the lower two panels of Figure 3. Unlike CH3OH which forms only at the grain surface, H2CO can form both on the surface of grains, mainly through hydrogenation CO → HCO → H2CO, and in the gas phase, via CH3 + O → H2CO + H. Moreover, there is also one pathway for H2CO on the grain surface to dissociate, H2CO + H → HCO + H2. The O atom can then be transferred to species like CO2 through reaction O + HCO → CO2 + H. Although the activation energy of this dissociation is high, the reaction rate is still orders of magnitude higher than photoevaporation.

With these differences in mind, we can understand the behavior of H2CO at the grain surface (lower-right panel). During the X-ray irradiation, the formation rate is first enhanced due to a higher hydrogenation rate. In the last several million years of our simulation, the abundance of H2CO significantly decreases, because the disassociation process becomes important and O atoms are slowly transferred to species like CO2. After we remove the X-ray irradiation, the decrease of the surface abundance of H2CO becomes slower because the surface abundance of H falls substantially. Because the formation (hydrogenation) of H2CO is also proportional to the surface abundance of H, we do not see an increase of H2CO after we remove the X-ray irradiation.

In the gas (lower-left panel), even without X-rays, the abundance of H2CO drops by almost four orders of magnitude by the end of 106–107 yr of evolution. The drop is mainly caused by the exhaustion of CH3 and O, so that the rate of the reaction CH3 + O → H2CO + H significantly decreases by the end of our simulation. With X-rays, the abundance decreases relative to that in the case without X-ray irradiation, by a factor of a few. The drop is due to the higher abundance of cations. In this case, the destructive reactions, such as H2CO + S+ → HCO+ + HS, become more efficient. When we remove the X-rays, the H2CO abundance first recovers the value in the case of no X-ray irradiation, and in about 106 yr significantly decreases due to the exhaustion of CH3. Finally, the abundance balances at a value that is higher than that in the no-X-ray case, because more CH3 has been produced during the episode of X-ray irradiation.

For completeness, we show in Appendix B the evolution of the other species that are often detected in molecular clouds. In general, we also find that their abundances with and without X-rays are different.

4.2. Distribution in the Galactic Disk

Because the X-ray flux decreases with increasing distance from the Galactic Center, we also explore the chemical evolution at different Galactic distances. The results are shown in Figure 4, where the column density of each cloud is still set to ${N}_{{\rm{H}}}={10}^{22.5}$ cm−2.

Figure 4.

Figure 4. Evolution of the abundances of H2O, CH3OH, and H2CO (from top to bottom) inside the molecular clouds at different Galactic distances (1, 2, 4, and 8 kpc). The left panels show the abundances in the gas phase and the right ones show the surface abundances. The lines styles have the same meanings as in Figure 2.

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On the grain surface (right panels), when there is X-ray irradiation (solid curves), the abundance of H2O keeps increasing as the Galactic distance decreases. The increase is caused by the higher abundance of atomic hydrogen as the ionization flux intensifies. For CH3OH and H2CO, however, the surface abundance maximizes at a Galactic distance of 4–8 kpc, and further increasing or decreasing the distance would both lead to lower abundance. The location where these two abundances peak is determined by two competing processes. On one hand, an important precursor of both species, CO, can be destroyed by X-rays and hence cannot exist too close to the Galactic Center when the AGN is on. On the other hand, the abundance of H increases toward the AGN due to X-ray disassociation. These two processes balance at about $4\mbox{--}8\,\mathrm{kpc}$ and produce the highest abundance of CH3OH and H2CO there.

To understand the behavior of H2O, CH3OH, and H2CO after we turn off the X-ray irradiation (dashed lines), we should first understand the evolution of H2 and CO. The major difference between the two species is that while the H2 abundance is lowered by several percents during X-ray irradiation, the abundance of CO could be lowered by orders of magnitude depending on the Galactic distance. Therefore, after we turn off the X-rays, the abundance of H2 only slightly increases in percentage, due to recombination, and recovers the equilibrium in the case of no X-rays, but the abundance of CO increases more drastically. The difference in the recovery rate causes the different behavior of H2O versus CH3OH and H2CO at the grain surface. We can see that after we turn off X-rays, the surface abundance of H2O increases slightly, because there is slightly more H2 for the reaction H2 + OH → H2O + H. For CH3OH and H2CO, however, there is a lot more CO produced within a short period of time, especially at small Galactic distances. For example, at 1 kpc, the abundances of CH3OH and H2CO rise by orders of magnitude after the X-ray irradiation is turned off. One interesting result, which is shared by all three molecular species (H2O, CH3OH, and H2CO ) and at all simulated Galactic distances, is that the final surface abundance after we remove X-rays is higher than the abundance in the case without X-ray irradiation.

In the gas phase (left panels), the behavior of H2O, CH3OH, and H2CO also depends on the Galactic distance. For H2O, X-ray irradiation in general suppresses the abundance within a timescale of 107 yr, because, as we have explained in Section 4.1, destructive cations form in large amounts but water formation on the grain surface is relatively inefficient. Moreover, the final abundance decreases with decreasing distance, because the X-ray flux is higher at a smaller distance. For CH3OH and H2CO, destructive cations also form due to the X-ray irradiation. That is why at small Galactic distances such as 1 and 2 kpc, the abundances of CH3OH and H2CO are suppressed when the AGN is on. However, at large distances such as 4 and 8 kpc, the abundances are not significantly suppressed and could even exceed those in the cases without X-rays. The reason is that at these distances the X-ray flux is not as strong so that CH3OH and H2CO form very fast on the grain surface, which, through photoevaporation, could also enrich the gas.

After we turn off the X-ray irradiation, the gaseous abundances of H2O, CH3OH, and H2CO all increase within a timescale of 107 yr, regardless of the Galactic distance. The cause is mainly the recombination of cations, which in turn lowers the destruction rate. Photoevaporation also contributes considerably. Even for H2O, whose gaseous concentration is not as sensitive to the surface abundance, photoevaporation enriches the gas species significantly after ∼5 × 106 yr, when the dissociative recombination has significantly slowed down. We find that at all distances, after we remove the X-rays, the final abundances of gaseous H2O, CH3OH, and H2CO exceed those in the case without an AGN or with a constant AGN.

These results suggest that a relatively short episode (106 yr) of X-ray irradiation could indeed, in the following 107 yr, leave an imprint in the molecular abundances throughout the MW.

4.3. Distribution inside Molecular Cloud

To understand the distribution of H2O, CH3OH, and H2CO as a function of the depth inside a molecular cloud, we compute the chemical evolution assuming different column densities (${N}_{{\rm{H}}}$) for the cloud. The results are shown in Figure 5. In these calculations, the Galactic distance of the cloud is fixed at 4 kpc.

Figure 5.

Figure 5. Abundances of H2O, CH3OH, and H2CO (from top to bottom) at different depths of a molecular cloud, located 4 kpc from the Galactic Center. The depth is proportional to the column density ${N}_{{\rm{H}}}$. The red curves correspond to a column density of ${N}_{{\rm{H}}}={10}^{22}\,{\mathrm{cm}}^{-2}$ and the blue ones to ${10}^{23}\,{\mathrm{cm}}^{-2}$. The left panels show the abundances in the gas phase and the right ones show the abundances on the grain surface.

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We find that when the column density is high, i.e., ${N}_{{\rm{H}}}={10}^{23}{\mathrm{cm}}^{-2}$ (or equivalently AV = 53), the abundances (see the blue curves) are slightly, but systematically lower than those in the fiducial model. This trend can be seen both in the gas phase and on the grain surface. The main cause of this systematic change is the lower UV flux due to higher extinction. The hard-X-ray flux from the AGN is only slightly attenuated inside the molecular cloud, and hence when we turn the AGN on and off, the evolution of the three species is similar to the evolution in our fiducial model.

In low-extinction regions (${N}_{{\rm{H}}}={10}^{22}$ cm−2, AV = 5.3, the red curves), the surface abundances (right panels) are more significantly affected by the rise of the UV irradiation. Even when there is no X-ray radiation (dotted curves), the H2O abundance is lower than that in the fiducial case by one order of magnitude. On the contrary, the surface abundances of H2CO and CH3OH are higher than those in the fiducial model. This result is caused by two competing processes. On one hand, surface species evaporate more rapidly in the presence of a higher UV flux. On the other hand, the higher density of H due to UV ionization/dissociation enhances the rate of hydrogenation. Because the synthesis of H2O uses mainly H2, not H, a higher UV flux would increase the evaporation rate more than the hydrogenation one, causing the surface abundance of water to decrease. For CH3OH and H2CO, the hydrogenation rate is relatively higher than the evaporation rate, so that the surface abundances increase when the UV flux becomes higher.

If we turn on X-rays, the surface abundances of all three species increase (compare the red dotted and the red solid curves), because of enhancement of H density on the grain surface. However, compared to those in the high-extinction regions (blue solid curves), the surface abundances in the low-extinction regions is reduced because of a higher evaporation rate induced by X-rays in the latter case. After we remove the X-ray irradiation, within ∼106 yr the abundances recover the values in the case of no X-rays. The quick recovery is closely correlated with the high reaction and evaporation rate in the low-extinction regions.

In the gas phase of the low-extinction regions (red curves in the left panels), the abundances of H2O, CH3OH, and H2CO without X-rays are much higher than those in the high-extinction ones. After we turn on the X-ray irradiation, the abundances become lower but are still higher than those in the high-extinction regions. The high abundances in the gas are caused mainly by the high photoevaporation rate on the grain surface. After we turn off X-rays, the gas abundances quickly recover the values in the no-X-ray case, and hence the imprint of the X-rays disappears within about 106 yr.

4.4. Age of the Molecular Cloud

To see the response of a more evolved molecular cloud to the X-rays from the AGN, we run our chemical-reaction network without X-rays for 107 yr and take the resulting chemical abundances as our new initial condition for the later simulations. The other parameters are the same as in the fiducial model. The results are presented in Figure 6. We see that the abundances in the case without X-rays no longer significantly vary with time, both in the gas and on the grain surface, suggesting that the chemical reactions have reached equilibrium on a timescale of 107 yr.

Figure 6.

Figure 6. The same as in our fiducial model but the molecular clouds are 107 yr old in the initial condition of our simulation.

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If we turn on X-ray irradiation after the 107 yr of isolated evolution, on the grain surface (right panels) the abundances of H2O and CH3OH will increase, as we have seen in the fiducial model, but the abundance of H2CO decreases. The decrease is caused by the reaction H2CO + H → HCO + H2, which predominates in the current conditions. We notice that the variation of the abundances of CH3OH and H2CO after we turn on X-rays is not as prominent as that in a less evolved cloud (see our fiducial model). This difference indicates that a chemically more evolved cloud is more resilient to X-ray irradiation. After we remove the X-rays, the surface abundances return to the values in the case of no X-ray radiation, on a timescale of about 107 yr.

In the gas phase (left panels), the X-ray irradiation significantly lowers the abundances of all three molecules. This behavior is different from that in a less evolved cloud, where the CH3OH abundance is enhanced by X-rays (see Figure 3). After we remove the X-rays, the abundances rise more quickly than that in a less evolved cloud. As a result of the quick rise, a recovery of the equilibrium state for no X-rays is seen at about ${10}^{4}\mbox{--}{10}^{5}$ yr. After this time, the imprint of an AGN is lost.

5. Diagnostics

Here we provide possible diagnostics for future observations by showing in Figure 7 the abundance ratios of H2O, CH3OH, and H2CO with respect to CO. We choose CO as the reference because it is the second most abundant gas molecule (after H2) and relatively easy to detect in molecular clouds. Molecules on the grain surface are not directly detectable, but we plot their abundance ratios relative to the gas-phase CO as well because surface molecules could be rapidly released into the gas in certain processes that are not considered in this work, for example, by turbulence or shock (Federman & Allen 1991; García-Burillo et al. 2010; Harada et al. 2018). We show only the results of our fiducial model. The other models generally lead to the same conclusion.

Figure 7.

Figure 7. Diagnostics of the effect of X-ray irradiation on the molecular abundances. The abundances are calculated relative to the gas CO for easier comparison with observations. The three blue panels labeled with "Gas" refer to the abundances in the gas phase, and the red ones with "Dust" refer to the surface abundances. The curves correspond to the results from our fiducial model shown in Figures 2 and 3. The line styles have the same meanings, i.e., the dotted–dashed curves correspond to the evolution without X-rays, the solid ones correspond to the evolution with constant X-ray irradiation, and the dashed ones show the evolution when the X-ray is turned off after an initial 106 yr of irradiation. The stars mark the end of our simulations, at the time of 5 × 107 yr.

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The three blue panels labeled "Gas" in Figure 7 show the abundance ratios in the gas phase. From these diagrams, we find that by the end of our simulations (marked by the star symbols), the locations of the molecular clouds exposed to X-ray irradiation (solid and dashed curves) are well separated from those clouds without X-ray irradiation (dotted–dashed curves). The divergence of the curves starts the earliest in the diagram of H2CO/CO against CH3OH/CO. It is worth noting that at the column densities of our interest, the low-J transitions of H2CO and CH3OH are optically thin, and therefore they are good tracers of the past activities of Sgr A*.

The three red panels labeled "Dust" show the abundances of H2O, CH3OH, and H2CO on the grain surface relative to the gaseous abundance of CO. The evolutionary tracks with and without X-rays, as well as the final locations of the molecular clouds, are well separated in these diagrams. This result indicates that the molecular clouds showing strong signs of turbulence or shock could provide better diagnostics of the activity of Sgr A* because the surface molecules could have been released into the gas.

For the other neutral species simulated in this work, their diagnostics are shown in Appendix B.

6. Caveats

Besides photodesorption (see Section 2.3), X-rays could also excite an electron to sufficiently high energy so that it escapes from the grain surface (Draine 2011). These photoelectrons from dust grains, in principle, are energetic enough to ionize gas molecules, but we did not consider them in this work because of the uncertainty in the calculation of their number (Bakes & Tielens 1994; Weingartner & Draine 2001; Weingartner et al. 2006). The following estimation shows that by ignoring these photoelectrons, we could have underestimated the ionization rate of molecular gas by a factor of 2–9 and hence underestimated the effect of the AGN on the molecules in the gas phase.

Following the work of Weingartner et al. (2006), who modeled photoelectric emission from the grains exposed to extreme ultraviolet and X-ray radiation, we assume that (i) the typical dust particles are carbonaceous grains with a radius of 0.1 μm (cross section ∼3 × 10−10 cm2), (ii) after each absorption of a hard-X-ray photon ($h\nu \gt 1$ keV), the probability of a photoelectron (either primary or secondary) escaping the bulk solid is 0.1–1, and (iii) the photoionization cross section of a hydrogen atom in the ground state is 10−23 cm2 at 1 keV. Moreover, we adopt the previous assumptions of a gas-to-dust ratio of 100 (in mass) and a typical grain density of 3 g cm−3. We find that the ratio between the number density of hydrogen atoms and that of carbonaceous grains is 8 × 1011. Given these numbers, we find that for each X-ray photon of 1 keV, the average yield of photoelectrons from dust grains is about 24–240. The exact number depends on the sizes of the grains, which are not well constrained by observations. However, it is about 0.8–8 times the yield of photoelectrons from gaseous hydrogen (see Section 2.1). Therefore, the effect of the photoelectrons from dust grains deserves further investigation.

The loss of photoelectrons would leave the dust grains positively charged. The X-ray-induced grain charging has not been modeled in detail until recently (e.g., Ibáñez-Mejía et al. 2019). Charged grains, just like ambient electrons, can affect the temperature of free electrons through Coulomb scattering. They may also react with gaseous anions. However, both free electrons and gaseous anions are rare in the system of interest. Therefore, we do not consider grain charging in this work.

7. Summary and Conclusion

Motivated by the observational evidence that the SMBH in the Galactic Center could have been an AGN several million years ago, we studied the impact of the corresponding X-ray irradiation on the molecular chemistry in the MW. Our main results are summarized as follows.

  • 1.  
    In our fiducial model, a molecular cloud is located 4 kpc from the Galactic Center and has a column density of ${10}^{22.5}\,{\mathrm{cm}}^{-2}$. The X-ray irradiation from the AGN could slightly enhance the abundance of H2O on the surface of dust grains and, at the same time, suppress the water abundance in the gas phase. After the AGN turns off, in the following 107 yr, the abundance on the grain surfaces remains slightly higher than that in the case without X-rays, while the abundance in the gas phase almost recovers the value of the no-X-ray case.
  • 2.  
    For CH3OH and H2CO, our fiducial model shows that the abundances on the grain surface could be enhanced by one to two orders of magnitude during the X-ray irradiation. The enhancement could be sustained for about 107 yr even after the AGN is turned off. In the gas phase, the abundance of CH3OH is enhanced during the AGN episode by about one order of magnitude, but that of H2CO is reduced slightly. Interestingly, after we turn off the X-ray irradiation, both abundances rise significantly. Therefore, by the end of the 107 yr of simulation, the final gas abundances are higher than the values in the no-X-ray case, by about two orders of magnitude.
  • 3.  
    The exact values of the molecular abundances during and after the AGN episode depend on the distance of the molecular cloud from the Galactic Center. However, there is one feature that appears to be common at different Galactic distances. For a cloud similar to that in our fiducial model, if we irradiate it with X-rays for 106 yr and then turn off the irradiation for 107 yr, the final gas and surface abundances are higher than the case with no X-ray irradiation. The enhancement is the most prominent at small Galactic distances, such as $\lesssim 2\,\mathrm{kpc}$.
  • 4.  
    After the AGN turns off, the recovery of molecular abundances is faster in low-extinction regions (${N}_{{\rm{H}}}\lesssim {10}^{22}\,{\mathrm{cm}}^{-2}$), such as the surface of a molecular cloud or a low-column-density cloud. Therefore, the imprint of a past AGN should be easier to observe in high-column-density regions, e.g., ${N}_{{\rm{H}}}\gtrsim {10}^{22.5}\,{\mathrm{cm}}^{-2}$.
  • 5.  
    Older molecular clouds (e.g., 107 yr) recover more rapidly after the AGN turns off. Therefore, young molecular clouds are more likely to bear the chemical imprint of a past AGN.

These results suggest that the abundances of molecular species in the MW could be significantly affected and reach new equilibrium during the past AGN activities of Sgr A*. The chemical imprint of the most recent AGN, which could have occurred several million years ago, may still be found today in those young, high-density molecular clouds residing at relatively small distances from the Galactic Center.

This project is under the framework of the Undergraduate Research and Training Program of Peking University and is sponsored by the National Innovation Training Program and School of Physics, Peking University. We thank Jieying Liu for kindly providing us with the AGN spectra of her numerical simulations and Zhu Liu for his help with the UV/X-ray extinction. We also thank Ke Wang, Guangshuai Zhang, Emma Yu, and Sarah Dodson-Robinson for compiling a reading list of the relevant literature. X.C. acknowledges the support by NSFC grant Nos. 11721303 and 11991053. F.D. is supported by the Hundred-Talent Program (Chinese Academy of Sciences) through grant 2017-089 and by grants from NSFC (Nos. 11873094 and 11873097).

Appendix A: Surface Reaction Network

Table A1 shows surface reactions in our model selected from the network in Hasegawa et al. (1992). The last column shows the reaction barrier.

Table A1.  Surface Reaction Network

Reactant 1 Reactant 2 Product 1 Product 2 Ea (K)
H H H2   0
H C CH   0
H N NH   0
H O OH   0
H CH CH2   0
H NH NH2   0
H OH H2O   0
H C2 C2H   0
H CN HCN   0
H CO HOC   1000
H CO HCO   1000
H NO HNO   0
H O2 O2H   1200
H N2 N2H   1200
H CH2 CH3   0
H NH2 NH3   0
H C2H C2H2   0
H HOC CHOH   0
H HCO H2CO   0
H O2H H2O2   0
H O3 O2 OH 450
H C2N HCCN   0
H N2H N2H2   0
H CH3 CH4   0
H H2CO HCO H2 1850
H CHOH CH2OH   0
H H2O2 H2O OH 1400
H N2H2 N2H H2 650
H HCCN CH2CN   0
H C2H2 C2H3   1210
H C2H3 C2H4   0
H CH2OH CH3OH   0
H CH2CN CH3CN   0
H C2H4 C2H5   750
H C2H5 C2H6   0
H2 OH H2O H 2600
C C C2   0
C N CN   0
C O CO   0
C CH C2H   0
C NH HNC   0
C OH HOC   0
C OH CO H 0
C CN C2N   0
C NO OCN   0
C O2 CO O 0
C CH2 C2H2   0
C NH2 HNC H 0
C OCN CO CN 0
C CH3 C2H3   0
N N N2   0
N O NO   0
N CH HCN   0
N NH N2H   0
N C2 C2N   0
N NH2 N2H2   0
O O O2   0
O CH HCO   0
O NH HNO   0
O OH O2H   0
O CN OCN   0
O O2 O3   0
O CO CO2   0
O HCO CO2 H 0
O CH2 H2CO   0
O CH3 CH2OH   0
CH CH C2H2   0
CH OH CHOH   0
CH HNO NO CH2 0
CH CH3 C2H4   0
OH OH H2O2   0
OH CH2 CH2OH   0

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Appendix B: Other Important Molecular Species

We also calculated the evolution of several other species that are often observed in molecular clouds, including two molecular ions (HCO+, N2H+) and six neutral species (NH3, CH4, CO, HCN, OH, CH3CN). The abundances on the grain surface and in the gas phase are shown, respectively, in Figures B1 and B2. The calculation is conducted assuming our fiducial condition.

Figure B1.

Figure B1. Abundances of NH3, CH4, CO, HCN, OH, and CH3CN on the grain surface as a function of time in our fiducial model.

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Figure B2.

Figure B2. Same as Figure B1 but for the molecules in the gas phase. Two molecular ions (HCO+ and N2H+) are also included.

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On the grain surface, the abundances of NH3, CH4, HCN, and OH are enhanced by X-rays, while those of CO and CH3CN slightly decrease in the presence of X-ray irradiation. In the gas phase, most of these molecular species tend to show lower concentration under X-ray irradiation. When we turn off the AGN, for most species the gas abundances quickly recover, but CH4 shows a significant excess compared to the abundance in the case without X-rays. HCO+ and N2H+ are temporarily produced in higher efficiency in the first 106 yr of X-ray irradiation, and then the abundances decrease to values lower than those in the case without X-rays.

For completeness, we also plot in Figure B3 the diagnostics using all the neural species shown above. We find that in the gas phase (blue panels), the evolutionary tracks with and without X-ray irradiation are well separated. Therefore, we conclude that the gas abundances of the neutral molecules studied in this work could be good tracers of the past AGN in the Galactic Center. The evolutionary tracks of the dust species (red panels) are also separated, except for the pairs H2C–CH4, H2O–HCN, H2O–CH3CN, and HCN–CH3CN.

Figure B3.

Figure B3. Same as Figure 7, but showing all the neutral species listed in Appendix B.

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Footnotes

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10.3847/1538-4357/aba758