A publishing partnership

Letters

THE INFLUENCE OF ENVIRONMENT ON THE CIRCUMGALACTIC MEDIUM

and

Published 2013 July 17 © 2013. The American Astronomical Society. All rights reserved.
, , Citation Joo Heon Yoon and Mary E. Putman 2013 ApJL 772 L29 DOI 10.1088/2041-8205/772/2/L29

2041-8205/772/2/L29

ABSTRACT

The effect of environment on the circumgalactic medium (CGM) is investigated through a comparison of Lyα absorption line data in the Virgo Cluster and the field. This Letter uses the first systematic survey of background QSOs in and around the Virgo Cluster and large existing surveys of galaxies at low redshift. While previous studies found denser gas (higher equivalent width) closer to a galaxy (lower impact parameter), this correlation disappears in the Virgo environment. In addition, the covering fraction of the CGM is lower in the cluster environment than in the circumcluster environment and field. The results indicate that the CGM is suppressed for cluster galaxies while galaxies in the circumcluster environment have abundant CGM. The truncation of the CGM may result in the quenching of star formation through starvation. Our results also show that CGM surveys must consider the role of environment.

Export citation and abstract BibTeX RIS

1. INTRODUCTION

Understanding the physics of gas provides a fundamental base for galaxy formation and evolution theories since gas is essential to the formation of stars and galaxies in the universe. Diffuse gas is a major fraction of the baryons in the universe and predominantly exists in the intergalactic medium (IGM; Fukugita et al. 1998; Cen & Ostriker 1999). Diffuse gas around galaxies, i.e., the circumgalactic medium (CGM), is the link between the IGM and galaxies. QSO absorption lines are one of the most promising ways of detecting the low column density CGM (${N_{\rm H\,\scriptsize{I}}}\sim 10^{13}\,{\rm cm^{-2}}$). There are numerous QSO absorption line studies that relate absorbers to either the CGM or IGM. Galaxies are often found near Lyα absorbers and there is an anti-correlation between the Lyα equivalent width and impact parameter that indicates that the absorbers trace halo gas (e.g., Chen et al. 2001). However, not all of the absorbers seem to be directly related to individual galaxies, but rather can only be associated with the overall large scale structure (e.g., Tripp et al. 1998; Chen & Mulchaey 2009; Prochaska et al. 2011).

Galaxy clusters contain a large number of galaxies. The gas properties of the cluster galaxies are influenced by the hot intracluster medium (ICM) and the density of galaxies (Byrd & Valtonen 1990; Moore et al. 1996; Chung et al. 2007). The CGM of galaxies in a cluster environment has largely not been investigated. We completed a survey of background QSOs toward the environment of the Virgo Cluster and found 43 Lyα absorbers (Yoon et al. 2012, hereafter Y12). This study, together with the well-defined galaxy catalogs in this region (Binggeli et al. 1985) and spectroscopic survey data (Sloan Digital Sky Survey, SDSS; York et al. 2000), enables us to now examine the CGM in a cluster environment. This Letter examines the properties and association of Lyα absorbers with galaxies in and around the Virgo Cluster. We probe the CGM of galaxies in cluster, circumcluster, and field environments and discuss the physical mechanisms influencing the CGM.

2. DATA

This section describes the absorber and galaxy data used for this Letter. In and around the Virgo Cluster, 43 Lyα absorbers toward 23 background QSOs were found in the velocity range 700 < v < 3000 km s−1 as described in Y12. The galaxies are selected within the volume of 2.5Rvir in projection of the Virgo Cluster (Rvir =1.57 Mpc centered on M87) and the velocity range 700 < v < 3000 km s-1. The full velocity range of the Virgo Cluster galaxies extends to ∼−700 km s-1(Binggeli et al. 1993), but our Lyα absorbers cannot probe the entire velocity range due to the Milky Way damping wing (see Y12). Our coverage from 700–3000 km s−1 contains at least 84% of the galaxies in the Virgo region, so we are able to examine the effect of environment on the CGM for a majority of the galaxies. Throughout this Letter, we define a galaxy as in a cluster environment if it is within Rvir in both projection and line-of-sight distance. The remaining galaxies within 2.5Rvir in projection are defined as a circumcluster environment. When we consider galaxies in both the cluster and circumcluster environment, we refer to it as the Virgo environment.

For our Virgo galaxy catalog, we merge the SDSS DR7 spectroscopic catalog (Abazajian et al. 2009) with galaxies from the NASA/IPAC Extragalactic Database (NED) in the same spatial and velocity range. We selected galaxies brighter than r < 17.77 in the SDSS catalog (Strauss et al. 2002). For the galaxies from NED, we selected galaxies brighter than 17.88 mag in the Johnson B-band since this corresponds to r = 17.77 when we perform a one-to-one comparison of magnitude for the galaxies observed in both the B and r bands. The luminosity of the galaxies selected ranges from 0.0002LB to 2.5$L_{\rm B}^{\star }$. This is based on distances from the literature, the Virgo inflow model, and the Hubble flow (in that order) as provided by M. Haynes (2012, private communication) and described in Haynes et al. (2011). We also use these distances to define galaxies as within the virial radius or outside the virial radius of Virgo. Unfortunately, many distance estimates in this region of the sky are uncertain (e.g., Cortés et al. 2008). As a check, we looked at the radial velocities to define cluster and circumcluster galaxies and found similar results.

We adopt two field samples to compare to the cluster environment. For the first field sample, we select 81 low redshift (v < 6000 km s-1) Lyα absorbers from the literature (Bowen et al. 2002; Penton et al. 2000, 2004; Sembach et al. 2004; Richter et al. 2004; Danforth et al. 2006, 2010; Wakker & Savage 2009; Prochaska et al. 2011) that are also covered by the SDSS, 2dF (Colless et al. 2001), or 6dF surveys (Jones et al. 2004, 2009). We adopt 6000 km s−1 as the upper velocity cut because using the 3000 km s−1 cut used for our Virgo sample results in small number statistics. To match the magnitude limit for SDSS galaxies (r < 17.77), we simply match SDSS r-band magnitudes and 2dF/6dF bJ magnitudes of galaxies observed by both the SDSS and 2dF/6dF. We apply bJ < 18.46 as the magnitude cut for the 2dF/6dF galaxies. For the second field sample, we adopt the absorbers and galaxies from Prochaska et al. (2011, hereafter P11). This field sample is at a higher redshift, z < 0.2, and the galaxies span a brighter luminosity range. We refer to this as the P11 sample throughout. The redshift uncertainties of the SDSS, 2dF, and 6dF surveys are ∼30 km s-1(Abazajian et al. 2003), ∼85 km s-1(Colless et al. 2001), and $46{--}116\,{\rm km\, s^{-1} }$(Jones et al. 2004), respectively. About 60% of the field absorbers and galaxies are covered by SDSS.

The velocity intervals used to associate galaxies with Lyα absorbers are that they are within ±200 or ±400 km s−1 of each other. The more conservative cut, ±200 km s−1, is chosen as an analog to gas in the halo of a Milky-Way-like galaxy, and ±400 km s−1 is set to be compared with the P11 sample. These velocity intervals must be interpreted with some caution in that the velocity structure in this dense environment is distorted. This velocity distortion will cause more uncertainty in determining if a galaxy and an absorber are physically associated.

3. RESULTS

We probe the CGM in various environments in this section by pairing Lyα absorbers to the nearest galaxy. Pairing a galaxy and its absorber is not trivial because there are numerous galaxies and multiple QSO sightlines in the Virgo environment. We describe how we pair a galaxy and an absorber as follows. (1) We find the nearest galaxy to a single sightline in projection. (2) If a Lyα absorber is found toward the sightline within a velocity interval of the galaxy, the galaxy and the absorber are paired. This paired galaxy and absorber are excluded in this pairing algorithm afterward. (3) If a galaxy has two nearest absorbers with the same impact parameter, the one with a larger equivalent width is paired with the galaxy. (4) If the nearest galaxy has no Lyα absorber within the chosen velocity interval, an upper limit for a Lyα detection is set for that galaxy. This is then a galaxy–upper-limit pair. Other galaxies in the same velocity interval as this galaxy–upper-limit pair are then removed from being paired with that sightline. Processes (1)–(4) are iterated until all galaxies within a limiting radius of 1 Mpc around sightlines are paired with either absorbers or upper limits. With this method, we found 42 (43) galaxy–Lyα-absorber pairs and 67 (33) galaxies do not show Lyα absorbers within the velocity intervals Δv = 200(400) km s-1.

Below 1000 km s−1, the sensitivity to an absorption line detection drops due to the Milky Way damping wing, as explained in Y12. This can cause the covering fraction, fcover, to be underestimated. In order to alleviate this, we compute upper limits for Lyα detections as a function of wavelength for all spectra. These upper limits increase exponentially with proximity to the damping wing. We find a mean Wul of all sightlines as a function of wavelength and use this mean for galaxies from 700 to 1000 km s−1. Based on the $W ({>} 100 \, {{\rm m\mathring{\rm{A}}}})$ distribution of our Lyα absorbers, the probability, P, of an absorber to lie between $100\, {{\rm m\mathring{\rm{A}}}}<W<W_{\rm ul}$ is calculated. We put less weight, 1 − P, on that galaxy when computing fcover. This correction does not cause any significant changes in the results.

3.1. ρ–W Anti-correlation

It is known that the line strength of Lyα absorbers increases with decreasing distance to the nearest galaxies (e.g., Chen et al. 2001). Here, we investigate the relationship between impact parameter, ρ (distance from a galaxy to an absorber), and the equivalent width of an absorber, W, in the Virgo (cluster+circumcluster) and field environments. For both $\Delta v=200\,{\rm km\, s^{-1} }$ and 400 km s−1, the ρ–W anti-correlation cannot be found in the Virgo environment (top row in Figure 1). This is particularly due to the pairs with small impact parameters. We also paired gas-rich galaxies from the ALFALFA galaxy catalog (Giovanelli et al. 2007; Haynes et al. 2011) with Lyα absorbers in the Virgo environment. They also do not show the anti-correlation. Our field galaxy sample (bottom row of Figure 1) does show the anti-correlation, decreasing median W with ρ, but with a large scatter. The P11 galaxies (dotted lines with diamonds in the right panels) have a consistent slope with our field galaxies. We were not able to examine the ρ–W anti-correlation in the separate cluster and circumcluster environment, or by a galaxy type due to low number statistics.

Figure 1.

Figure 1. Correlation between equivalent width (W) of Lyα absorbers and impact parameter (ρ) within the velocity intervals of ±200 and ±400 km s−1. Downward arrows present upper limits for non-detection of Lyα absorbers. The pairs are selected in the same velocity interval in each column, as noted at the top. The top row shows the galaxies in the Virgo environment and the bottom row presents the field galaxies. The median line (dashed line with squares) is illustrated in the bins of 0–150, 150–300, 300–500, 500–1000 kpc. The median for the P11 sample is shown by the dotted line with diamonds.

Standard image High-resolution image

3.2. The Covering Fraction

In order to further investigate the CGM of galaxies, we compute the covering fraction, fcover, and examine it in various environments. The number ratio of galaxy–absorber pairs to all galaxy–absorber and galaxy–upper limit pairs is calculated as fcover in bins of 100 kpc and 300 kpc for W > 100 mÅ absorbers only with the sightlines that have a better sensitivity than 100 mÅ in Figures 2 and 3. We show an impact parameter range 0 < ρ < 600 kpc because there are very few galaxy–absorber or galaxy–upper-limit pairs at ρ > 600 kpc (see top left panel of Figure 1). The covering fraction is computed with the velocity intervals of ±200 and ±400 km s−1.

Figure 2.

Figure 2. Covering fraction of Virgo and field galaxies in bins of 100 (top) and 300 kpc (bottom). The velocity intervals ±200 and 400 km s−1 are used in the left and right columns, respectively. The numbers presented in each bin show the number of both galaxy–absorber and galaxy–upper limit pairs. The error bar indicates 1σ from likelihood distribution. The P11 field sample is shown in the upper right plot for comparison.

Standard image High-resolution image
Figure 3.

Figure 3. Covering fraction of galaxies in the cluster and circumcluster environment is presented in bins of 100 (top) and 300 kpc (bottom). The velocity intervals, numbers, error bars, and P11 sample are illustrated as Figure 2.

Standard image High-resolution image

The covering fraction for the galaxies in the Virgo environment shows no clear decrement with increasing ρ (dashed line with diamonds in Figure 2), while that of the field galaxies shows a decreasing fcover with ρ (solid line with open circles in Figure 2). The covering fraction of the field galaxies is in agreement with that of the P11 galaxies (dotted line with crosses in upper right panel of Figure 2). For better number statistics, we use a 300 kpc bin in the bottom row of Figure 2. The covering fraction is lower for the Virgo galaxies, fcover $=0.45_{-0.07}^{+0.07}(0.66_{-0.07}^{+0.06})$, than for the field galaxies, fcover $=0.68_{-0.13}^{+0.10}(0.87_{-0.11}^{+0.06})$, within 300 kpc with the velocity interval ±200 (400) km s−1. The covering fractions outside 300 kpc are indistinguishable from each other, but at this distance, we are no longer tracing the CGM within a galaxy's virial radius.

In Figure 3, we separate the Virgo galaxies into those within Rvir (cluster environment) and outside Rvir (circumcluster environment; see Section 2). As in Figure 2, we examine the data in 100 and 300 kpc bins. The covering fraction for galaxies outside Rvir with $\Delta v=400\,{\rm km\, s^{-1} }$ is consistent with the P11 galaxies as shown in the upper right panel. This indicates that the differences seen in the previous plots are due to galaxies within Rvir. Indeed, predominantly using the 300 kpc bins (bottom row), the galaxies outside Rvir (solid line with squares) show a higher fcover $=0.58_{-0.09}^{+0.08}(0.78_{-0.08}^{+0.06})$ than those within Rvir (long-dashed line with triangles), fcover $=0.25_{-0.08}^{+0.11}(0.39_{-0.12}^{+0.14})$, within 300 kpc. With 100 kpc bins, there is a rise at 0–100 kpc for galaxies within Rvir with both velocity intervals. We thoroughly investigated this rise and found that it is due to galaxies in Virgo's infalling substructures which are described in Y12 and references within. This is also the case for the increase in the 400 < ρ < 500 kpc bin with $\Delta v=200\,{\rm km\, s^{-1}}$ (see Section 4 for details). These contaminating galaxies are few and therefore the effect of the substructures is lessened in the 300 kpc bin plot.

4. DISCUSSION

Previous studies detected Lyα absorption lines within ∼300 kpc of galaxies in almost all cases (Chen et al. 2001; Bowen et al. 2002; Wakker & Savage 2009; Prochaska et al. 2011). Although the galaxies in these studies include some group members (Wakker & Savage 2009), the vast majority of the galaxies are not in an environment as dense as the Virgo Cluster. We have shown that the CGM properties vary with the Virgo and field environments. The galaxies in the Virgo environment do not show the ρ–W anti-correlation seen for the field and P11 galaxies. Also, the covering fraction of the CGM for the Virgo environment galaxies is lower than that of the field/P11 galaxies within 300 kpc. P11 used the number of neighbors to claim that their derived CGM properties are independent of local environment; this does not seem to be the case when the cluster environment is probed. Our results are consistent with Wakker & Savage (2009) who found a lower fcover for group galaxies (0.57) than field galaxies (1.00) with $\Delta v=400\,{\rm km\, s^{-1}}$. Their covering fraction for group galaxies is between our cluster galaxies (0.39) and circumcluster galaxies (0.78). Another recent study found the CGM is present around early-type galaxies (Thom et al. 2012). We performed visual classification of our galaxy–upper limit pairs and find that early-type galaxies within Rvir do not show any associated Lyα absorbers. Therefore, our results indicate that the presence of the CGM around early-type galaxies is determined not by galaxy type, but by environment. A dense environment is playing an important role in suppressing the CGM.

Disk gas stripping by a cluster environment has been observed in many previous studies. For instance, Chung et al. (2007) found gas being stripped from galaxy disks at 0.6–1 Mpc in the Virgo Cluster (Virgo Rvir =1.57 Mpc). Since the CGM is more diffuse than disk gas, and more loosely bound, it is more vulnerable to stripping. Gas stripping by ram pressure will occur if $\rho _{\rm ICM} v_{\rm gal}^2>\Sigma _{\rm gas} v_{\rm rot}^2 R^{-1}$ (Gunn & Gott 1972, modified by Vollmer et al. 2001) where ρICM is the ICM density, vgal is the relative velocity of a galaxy to the ICM, Σgas is the column density of the galaxy's gas, vrot is the rotation velocity of a galaxy, and R is the radius of a galaxy. For the CGM, we assume the parameters as follows: $\Sigma _{\rm gas}=10^{15}(10^{14})\,{\rm cm^{-2}}$, $v_{\rm rot}=200\,{\rm km\, s^{-1}}$, R = 100(300) kpc, and vgal = 1000 km s-1 as a representative value for ram pressure stripping in the Virgo Cluster (Vollmer et al. 2001). Then, the ICM density required to cause CGM stripping is ρICM ∼ 10−10(4 × 10−12) cm−3. This ICM density is many orders of magnitude lower than the representative density of the ICM for ram pressure in the Virgo Cluster, which is ρICM = 10−4 cm−3 (Vollmer et al. 2001). Therefore, ram pressure stripping of the CGM will occur earlier than disk gas stripping and in an environment that is not dense enough to remove disk gas.

The truncation of the CGM for the cluster galaxies can be attributed to either the rapid integration of stripped gas into the ICM or the lack of the accretion of warm gas. While fast integration of stripped gas to the ICM is investigated in theoretical studies (e.g., Tonnesen & Bryan 2010), gas accretion onto a galaxy in different environments still remains to be probed. In any case, the CGM truncation removes future fuel for star formation and will cause a galaxy to evolve onto the red sequence through a process called starvation (Larson et al. 1980). Starvation is expected to begin around the cluster virial radius by stripping outer halo gas in simulations (Tonnesen et al. 2007). Our results provide observational evidence for this starvation.

We do not see the effect of CGM stripping in the circumcluster environment as the covering fraction of the CGM for the circumcluster galaxies is in agreement with that of the field and P11 galaxies. Further studies should attempt to examine at what radii the CGM is stripped as a galaxy enters a cluster given the low densities required to strip the CGM. This may be more straightforward to investigate in a more regular cluster than Virgo which has numerous infalling substructures. The CGM may be protected in the circumcluster environment by the fact that the galaxies are moving with the IGM into the cluster (see Y12).

We see somewhat of an increase in fcover within 100 kpc and 400 < ρ < 500 kpc in the top left panel (Δv = 200 km s-1) of Figure 3 even for the galaxies within Rvir. The increase within 100 kpc is also seen in the Δv = 400 km s-1 panel (right). Given the typical lack of absorbers within Rvir, it is interesting to examine the reason for these increases. The uncertainty in the distance estimates, as explained in Section 2, may play somewhat of a role. For instance, though most things remain very similar, the rise at 400 < ρ < 500 kpc disappears when velocities instead of distances are used to define cluster galaxies. Most of the galaxy–Lyα absorber pairs causing the fcover increase can be linked back to Virgo substructures that are infalling or are thought to have fairly recently fallen in. Cluster B is one of the main culprits. Cluster B is within the virial radius of the cluster in projection and at the same distance as the main cluster (Mei et al. 2007); however, it contains many gas-rich galaxies and is thought to be an in-fallen structure (see Y12 for more details). One other particularly interesting galaxy–Lyα-absorber pair within Rvir is in the vicinity of the subcluster containing M86. The pair is ∼200 kpc in projection from M86 and not far in position–velocity space from a long tail of atomic hydrogen and Hα emission that is connected to M86 (Oosterloo & van Gorkom 2005; Kenney et al. 2008). The M86 subcluster may have recently fallen into Virgo from the backside and the tail is thought to be stripped gas residing within the cluster (Oosterloo & van Gorkom 2005).

5. CONCLUSION

By examining galaxies and Lyα absorbers in cluster, circumcluster, and field environments, we find the following.

  • 1.  
    The typical anti-correlation between impact parameter and a Lyα equivalent width is not found for the Virgo galaxies and absorbers.
  • 2.  
    The CGM covering fraction for Virgo galaxies is lower than that of field galaxies. In particular, galaxies within the virial radius of the cluster show a lower fcover, while galaxies in the circumcluster environment have a comparable fcover to field galaxies.
  • 3.  
    The results indicate the cluster environment suppresses the CGM, and that the presence of a warm CGM depends not on galaxy type, but on environment.

The CGM can be easily suppressed by gas stripping processes in the cluster environment (e.g., ram pressure); however, the prevention of gas accretion to individual galaxies may also play a role. This removal of the CGM will result in starvation, and quench star formation. Further studies of CGM variation with environment will provide additional insight into the link between the surrounding IGM, the CGM, and galaxies.

We thank Hsiao-Wen Chen for extensive discussions on how to relate a galaxy to an absorber in a cluster environment, and Martha Haynes for generously providing distance information for the Virgo galaxies. We also thank Jacqueline van Gorkom, J. Xavier Prochaska, David Schiminovich, and Joshua Peek for useful discussions. We acknowledge funding from NASA grant HST-GO-11698, the Luce Foundation, and NSF CAREER grant AST-0904059.

Please wait… references are loading.
10.1088/2041-8205/772/2/L29