Extinction correction for NIR galaxy parameters

The Effect of Dust Extinction on the Observed Properties of Galaxies in the Near-Infrared.

Ihab F. Riad, Renée C. Kraan-Korteweg and Patrick A. Woudt
Department of Astronomy, University of Cape Town, Private Bag, X3 Rondebosch 7701, South Africa

Galaxies behind the Milky Way suffer size reduction and dimming due to their obscuration by dust in the disk of our Galaxy. The degree of obscuration is wavelength dependent. It decreases towards longer wavelengths. Compared to the optical, the Near InfraRed (NIR)  band extinction is only that of the band. This makes NIR surveys well suited for galaxy surveys close to the Galactic Plane where extinction is severe.

While Galactic obscuration is less prominent in the NIR it is not negligible. In this paper we derive empirical relations to correct isophotal radii and magnitudes of galaxies observed in the NIR for foreground absorption. We simulate extinction in the , and bands on 64 (unobscured) galaxies from the 2MASS Large Galaxy Atlas (Jarrett et al., 2003). We propose two methods for the extinction correction, the first is optimized to provide the most accurate correction and the second provides a convenient statistical correction that works adequately in lower extinction regions. The optimized correction utilizes the galaxy surface brightness, either the disk central surface brightness, , or the combined disk plus bulge central surface brightness, elliptical and disk/spiral Hubble types. A detailed comparison between the different methods and their accuracy is provided.

galaxies: photometry - infrared:galaxies - dust, extinction.

1 Introduction

The effect of dust extinction on point-like objects, stars, is linearly related to extinction. If, for example, the observed magnitude of a star is and it suffers an extinction of , its intrinsic magnitude will be . Extended objects, like galaxies, suffer a further dimming due to the loss of their fainter outer regions in the sky background. An obscured galaxy appears smaller and fainter in the sky than it really is. Corrections for this extra dimming are non-linear as was shown by Fisher & Tully (1981); Hauschildt (1987) and Cameron (1990) in the optical. Nagayama et al. (2004) derived corrections to the band isophotal magnitudes. Their extinction correction study was initiated to correct the isophotal magnitudes for galaxies observed in the vicinity of the giant radio galaxy PKS 1343-601 centred at . The average extinction in their region was . From their study they showed that the isophotal magnitude correction can be approximated by a linear relation for extinction levels . Their work also showed that the different morphological types of galaxies are affected differently by extinction. Galaxies that have an exponential light profile bulge (late type) need larger corrections than those with a de Vaucouleurs profile (early type), or those with a bulge+disk light profile.

Statistical results and conclusions derived from magnitude-limited and radius-limited galaxy catalogues are unreliable if they are not corrected for these extinction effects. Applying extinction corrections to galaxy catalogues like the 2MASS Extended Source Catalog (2MASX) (Jarrett et al., 2000) will imply fainter completeness magnitudes than the currently quoted values. Applying extinction corrections to optical catalogues for galaxies observed in the Zone of Avoidance (ZOA) helped reduce the optical ZOA from the region with extinction , to the region with (Kraan-Korteweg & Lahav, 2000). This reduction was a result of including those galaxies that did not make it into the diameter limited catalogues if they were not corrected for extinction.

Extinction magnitude corrections are crucial when relating spiral galaxy magnitudes to their velocity width for the Tully-Fisher (TF) relation. The here derived NIR extinction corrections will prove invaluable for e.g. the ongoing whole-sky 2MASS Tully Fisher Survey (Masters et. al, 2008), especially for galaxies found in the ZOA. Application of NIR magnitude extinction corrections will also improve photometric redshift estimations (Jarrett, 2004) for galaxies that are observed in the ZOA.

Motivated by an ongoing NIR imaging survey to map the crossing of the Great Attractor wall across the ZOA where extinction levels are severe, we initiated a study of the effect of Galactic extinction on galaxies imaged in the , and bands. This will allow us to correct their observed isophotal-radii and magnitudes for extinction. In our current ZOA survey along the Norma wall (Riad et al., in preparation) we noticed, that of the galaxies in our sample were found in regions with an extinction , while were found in regions with an extinction . Only of the galaxies were found in regions with an extinction . For the and band and respectively of the galaxies were found in regions with , while and of the galaxies were obscured by . Only a handfull of the galaxies were found in regions with . We therefore limited the simulation to the extinction range . In this work and for the purpose of estimating the extinction suffered by galaxies in our ZOA survey we used the general extinction law,

Where is the colour reddening derived from the Schlegel et al. (1998) reddening maps and is the extinction in the optical band. A typical value for is (Cardelli et al., 1989). Extinction in the NIR , and passbands was derived using the parametrization given by Cardelli et al. (1989), see Eqs. 1 - 3.


In this paper, we derive NIR corrections to isophotal magnitudes and radii for galaxies obscured by the Milky Way. Section 2 describes the data set and method. We describe two methods to apply the corrections (Sects. 2.2 and 2.3). In Sect. 3 we provide a brief comparison between the different methods, and discuss their respective reliability.

2 Data and method

We selected 64 galaxies from the 2MASS Large Galaxy Atlas (LGA) (Jarrett et al., 2003) to simulate the effect of extinction on isophotal-radii and magnitude for galaxies observed in the NIR. 2MASS is an All-Sky NIR survey in the bands , and . Galaxies were selected in such a way that they are minimally affected by contamination from neighbouring sources, and give a fair representation of all morphological types. The sample includes 25 elliptical and lenticular (E/S0), and 39 spiral (S) galaxies. Half of the galaxies in the spiral galaxy sample are barred with some of them having ring features. The selected galaxies cover a wide range in galaxy size and brightness. The apparent radii range between where is the isophotal radius at the surface brightness level mag/arcsec. The apparent isophotal magnitude range covered by our sample is , where is the integrated magnitude within . The galaxies in our sample suffered minimal obscuration ranging between , see last column in Table 1. The list of selected galaxies is given in Table 1. This table lists the most common name of the galaxy, followed by the morphological type, , , inclination and position angle (PA) in the band. All the data are taken from Jarrett et al. (2003). In the table we also give the disk central surface brightness (Freeman, 1970) and the central surface brightness in the band. The last column lists the mean extinction . Extinction in the band was derived from the Schlegel et al. (1998) reddening maps and Eqn. 3. The surface brightness profiles for the galaxies are taken from the LGA111The surface brightness profile for galaxies in the LGA are found in http://irsa.ipac.caltech.edu/applications/2MASS/LGA/ (given in tabular format).

No. Galaxy Morphology PA
[] [mag] [] [mag/arcsec] [mag/arcsec] [mag]
1 NGC4697 E6 123.8 6.502 0.63 67.5 16.10 12.88 0.011
2 M86 S03/E3 151.4 6.283 0.67 55.0 16.37 13.21 0.011
3 M60 E2 146.6 5.825 0.81 72.5 15.83 13.06 0.010
4 M59 E5 109.0 6.866 0.65 15.0 16.11 12.67 0.012
5 M84 E1 115.0 6.347 0.92 57.5 16.12 12.93 0.015
6 M105 E1 108.0 6.362 0.85 67.5 15.92 12.65 0.009
7 NGC584 E4 88.8 7.445 0.62 62.5 16.18 13.05 0.015
8 NGC720 E5 90.5 7.396 0.55 40.0 16.14 13.63 0.006
9 NGC1395 E2 93.7 7.024 0.82 87.5 16.10 13.29 0.008
10 NGC1407 E0 100.2 6.855 0.95 60.0 16.25 13.62 0.025
11 NGC4365 E3 113.0 6.800 0.74 45.0 16.32 13.36 0.008
12 NGC4473 E5 93.7 7.269 0.54 85.0 15.96 12.89 0.010
13 NGC4494 E1-2 91.1 7.145 0.87 07.5 16.15 13.04 0.009
14 NGC4589 E2 69.5 7.915 0.75 92.5 16.27 13.67 0.010
15 NGC1377 S0 35.0 9.892 0.56 86.5 16.15 15.43 0.010
16 NGC2310 S0 91.5 8.565 0.24 47.0 15.97 14.99 0.039
17 NGC3630 S0 42.2 8.911 0.45 37.0 15.70 13.46 0.016
18 NGC3966 S0 61.5 9.077 0.24 72.5 15.75 14.63 0.011
19 NGC3115 S0 164.6 5.937 0.39 45.0 15.74 12.27 0.017
20 NGC4636 E/S0;1 134.8 6.628 0.84 37.5 16.36 13.82 0.010
21 NGC1340 E5 86.0 7.546 0.62 17.5 16.01 13.58 0.007
22 M49 E2/S0(2) 179.2 5.506 0.81 17.5 16.11 12.98 0.008
23 M32 cE2 147.4 5.139 0.87 15.0 14.96 11.11 0.023
24 M87 E+0-1;pec;Sy 136.0 5.904 0.86 27.5 16.05 13.64 0.008
25 NGC855 E 41.6 10.161 0.50 67.0 16.71 15.97 0.026
26 NGC4244 SA(s)cd 157.0 8.110 0.30 45.5 17.49 16.82 0.008
27 NGC55 SB(s)m 273.5 6.562 0.30 67.0 17.12 17.03 0.005
28 NGC1073 SB(rs)c 57.7 9.690 0.72 42.5 18.70 16.99 0.014
29 NGC247 SAB(s)d 141.7 8.180 0.55 01.5 18.21 17.01 0.007
30 NGC24 SA(s)c 83.0 9.215 0.28 43.5 16.97 17.03 0.007
31 M33 SA(s)cd 499.9 5.38 0.80 50.5 17.71 14.10 0.015
32 NGC4569 SAB(rs)ab;Sy 165.1 7.686 0.40 15.0 16.35 12.83 0.017
33 NGC4216 SAB(s)b 217.6 6.587 0.80 109.5 15.76 12.97 0.012
34 M100 SAB(s)bc;LINER 150.8 6.810 0.73 72.5 17.28 13.97 0.010
35 M106 SAB(s)b;LINER 263.9 5.598 0.49 20.0 15.98 13.39 0.006
36 M51a SA(s)bc 197.5 5.601 0.68 57.5 16.38 13.57 0.013
37 M109 SAB(rs)bc;LINER 142.6 7.139 0.56 38.0 17.17 14.02 0.010
38 NGC908 SA(s)c 128.9 7.365 0.55 87.5 16.41 14.54 0.009
39 NGC488 SA(r)b 107.8 7.133 0.81 05.0 16.45 13.81 0.011
40 NGC4826 SA(rs)ab;Sy2 214.8 5.396 0.57 70.0 15.24 12.38 0.015
41 NGC4594 SA(s)a;Sy1.9 201.7 5.009 0.54 87.5 16.35 11.87 0.019
42 NGC474 SA(s)0 46.1 8.815 0.99 45.0 16.42 14.05 0.013
43 NGC1532 SB(s)b;pec;sp 143.6 6.861 0.30 35.0 15.92 13.84 0.006
44 NGC7090 SBc?;sp 136.4 8.404 0.26 48.0 17.13 13.65 0.008
45 NGC2442 SAB(s)bc;pec 126.4 7.071 0.87 27.5 17.04 13.61 0.074
46 M51b SB0;pec 124.2 6.402 0.99 27.5 15.77 12.33 0.013
47 NGC1808 SAB(s)bc;Sy2 131.1 6.732 0.42 37.0 15.78 12.77 0.011
48 NGC5005 SAB(rs)bc;Sy2 130.8 6.501 0.42 67.5 15.25 12.84 0.005
49 M88 SA(rs)b 155.4 6.334 0.44 40.0 15.56 13.24 0.014
50 NGC4527 SAB(s)bc 141.0 7.021 0.34 69.5 15.60 12.89 0.008
51 M63 SA(rs)bc 204.2 5.728 0.58 82.5 15.76 12.71 0.006
52 M98 SA(s)ab,HII 172.8 7.012 0.34 69.5 16.54 13.38 0.013
53 NGC47 SB(rs)bc 33.8 9.988 0.55 85.5 17.12 15.49 0.004
54 NGC210 SA(s)b 54.1 8.515 0.52 07.5 15.85 14.21 0.008
55 NGC628 SA(s)c 125.3 7.187 0.86 87.5 17.53 15.47 0.026
56 NGC772 SA(s)b 105.2 7.440 0.80 45.0 16.64 14.08 0.027
57 NGC1187 SB(r)c 86.1 8.315 0.55 52.5 17.18 14.28 0.008
58 NGC522 Sc 68.9 9.389 0.14 33.0 15.45 15.67 0.032
59 NGC891 SA(s)b 225.4 5.994 0.24 25.0 15.11 14.55 0.024
60 M31 SA(s)b 1614.0 1.038 0.56 45.0 14.81 11.50 0.023
61 NGC5746 SAB(rs)b?;sp 162.2 6.927 0.26 10.0 15.10 14.08 0.015
62 M94 SA(r)ab 172.3 5.169 0.79 85.0 15.50 11.70 0.007
63 NGC1300 SB(s)bc 131.8 7.896 0.48 79.0 17.63 14.26 0.011
64 M65 SAB(rs)a 211.6 6.113 0.32 08.5 14.95 13.312 0.009

The table lists the morphological type, , , and PA, values are taken from the LGA (Jarrett et al., 2003). The table also lists the band and . Extinction in the band is also listed. Galaxies marked with are those showing the deviated correction trend explained in the next section.

Table 1: The sample of galaxies used for the study of extinction effects on the NIR.

The method we implement here for simulating the effect of extinction on galaxies closely follows the precepts of earlier work done by Cameron (1990) in the -band.

It is difficult to define a reliable total radius and magnitude for a galaxy (Jarrett et al., 2003), but more straightforward to work with isophotal radii and magnitudes out to a given radius. For this reason we only consider here corrections to isophotal radii and the flux within that respective radius. In this paper, we define the limiting isophotal radius as the radii to an isophote of 21.4 mag/arcsec in the , 20.6 mag/arcsec in the , and 20 mag/arcsec in the band. Those values are approximately the NIR sky background (Jarrett et al., 2003). We also define the integrated isophotal magnitude as the integrated magnitude out to this radius .

2.1 Simulating extinction

The simulation of the effect of Galactic extinction on the apparent properties of a galaxy was achieved by the inward displacement of the limiting isophote along the surface brightness profile. The limiting isophote was shifted in non-uniform steps along the galaxy light profile with each step being equivalent to a certain extinction level in the investigated band. As an example, the left panel of Fig. 1 shows the effect of extinction on the surface brightness profile of the spiral galaxy M88 in the band. The panel indicates increasing levels of extinction at and applied to the galaxy. The extinction levels are represented as horizontal lines on the plots. For each of the horizontal lines, the part of the profile lying below the line represents the obscured part of the galaxy while the part above is what remains visible at a given extinction. The intercept of the line with the ordinate gives the apparent limiting isophote, while the intercept of the light profile on the abscissa shows the size of the obscured galaxy that remains visible. The projection of the point of intercept of the line representing with the light profile on the abscissa gives the intrinsic radius . The additional dimming caused by the loss of the faint outer region is demonstrated by the integrated isophotal magnitude profile shown in Fig. 1 (right panel).

Figure 1: The effect of extinction on the spiral galaxy M88. Left panel: surface brightness profile for M88 in the band, with various levels of the simulated extinction in the range . Right panel: integrated isophotal magnitude with extinction with the same levels of the simulated extinction.

The reduced radii and magnitudes were calculated for each step and compared to the original values. The quantities calculated as a function of extinction were and , defined as,

where , , and are the intrinsic and absorbed magnitudes and radii respectively. The different values of and corresponding to the simulated extinction values were then calculated, and fitted to the empirical relations following the formalism given by Cameron (1990):


where , , , are the fitting parameters, and the extinction. This parameter fitting was done for all galaxies in our sample. It was performed separately for all three , , bands.

The resulting corrections show very comparable trends in the three bands, due to the similarity of the light profiles of the galaxy in the three bands. To demonstrate the effectiveness of our procedure we therefore reduce the discussion to the results of the band only. Figure 2 displays the calculated values of , and as a function of , with their fitted relations for the galaxy M88 in the band. The ability of Eqns. 4, 5 to fit the simulated data varies among the galaxies. Some galaxies show tighter fits compared to M88, while others show more dispersion. The variation in the quality of the fitting is expected due to the different structures imprinted on the surface brightness profile of the galaxies.

Figure 2: The calculated (left), and (right), with their fitted corrections for the spiral galaxy M88 in the band.

2.2 Variation among galaxies (optimized corrections)

In Fig. 3 we show the magnitudes and radii corrections for all the E/ S0 (top), and S galaxies (bottom). The curves in the plots clearly show that the Cameron (1990) relations in their present form can not fully account for the variation among the galaxies in the two respective groups.

We investigated the origin of these discrepancies by looking at trends with e.g. inclination, central surface brightness , and the disk central surface brightness extrapolated from the fainter outer disk. No significant trend was found between the corrections and the variation among galaxies inclinations. Most probably a much larger sample than the current one is needed to investigate the correlation. A clear correlation between and with the corrections was noticed, however.

It was noted that galaxies with a low central surface brightness mag/arcsec in the band, and low surface brightness galaxies in general require larger corrections. This is expected as those galaxies become obscured much more quickly. Galaxies that required larger corrections in our sample are M33, NGC24, NGC247, NGC1073, NGC55, NGC4244; they are labeled in Fig. 3. Even though the corrections were found to depend on , it was in fact found that shows the better correlation with the corrections.

Figure 3: Simulated corrections and . E/S0 top panel, S bottom panel.

In this section we describe the method to optimize the corrections using either or . Optimizing the corrections using gives tighter estimates to the corrections than using . On the other hand, optimizing the corrections using is convenient since it is easily measured and is typically found in large catalogues including 2MASX. A further point to note is that the NIR can be used to roughly classify the galaxies as early or late-type galaxies (Jarrett, 2000). In Sect. 2.3 we derive a more general correction which can be applied when only the galaxies are classified as early or late type but neither nor is available.

2.2.1 Optimized correction based on

It was realized that the derived quantity, , defined as the disk central surface brightness extrapolated from the fainter outer regions of the galaxy correlates well with the deviation among the galaxies. The definition of corresponds to the disk central surface brightness for spirals as defined by Freeman (1970). The better correlation of the corrections with rather than is expected since it is always the fainter outer regions of the galaxy that suffer most from extinction. To accommodate into the corrections, Eqns. 45 were re-written as,




Using the parameter products , for each galaxy, and analyzing how they vary with , we derived these parameters ( and ). The values are listed in Table 2. For each galaxy, the value of was found from a linear fitting to the disk part of the light profile of the galaxy with mag/arcsec. The intercept of the straight line fitted to the disk part of the light profile with the surface brightness axis was then . The disk part of the light profile was identified by visual inspection.

Galaxy Param.
0.0005 0.0002
0.3301 0.6248 0.3993
0.3659 15.9697 1.9398
E/S0 0.0704
1.3090 1.3912 1.3309
8.1329 236.9696 18.9573
0.6093 0.6203 0.4406
9.7884 7.0789 2.6909
1.2277 1.2443 0.8365
201.5666 56.9891 17.5403
Table 2: Parameters and for the optimization Eqn. 2.2.1

The goodness of and in describing the correction curves for the different galaxies accurately was found to be very sensitive to the value of . This shows the importance of having an accurate light profile of the galaxies, and hence , to be able to use the optimized correction.

2.2.2 Optimized correction based on

For optimizing the extinction corrections using the central surface brightness we used the same methodology as for the optimization. To incorporate in the corrections we re-wrote Eqns. 4 and 5 as,




Again we determine the products and and how they vary with and hence derived the parameters ( and ). The values of these parameters are given in Table 3.

Galaxy Param.
0.1279 0.0547 0.1598
0.0063 0.0707
0.8397 1.3805 0.7292
E/S0 0.0248 0.0381
0.0073 0.0034 0.0151
0.1889 0.2574 0.1632
1.4504 2.1299 0.8602
0.0046 0.0420
0.0068 0.0095 0.0157
0.1953 0.1824 0.1641
2.7721 2.5213 1.3653
S 0.0009
0.0003 0.0007 0.0012
0.4136 0.3833 0.3751
6.4910 4.6215 2.3296
Table 3: Parameters and for the optimization Eqn. 2.2.2

To quantify the performance of the two optimization corrections, we computed the difference between the corrections as given by the simulated data and as given by the optimized corrections using both the parametrization , and using , . The comparison was made for all galaxies in the band in the extinction range . A summary of the comparisons is listed in Table 4, and displayed in Fig. 4 for the optimization, and Table 5, Fig. 5 for the optimization.

Galaxy Param.
E/S0 0.0012 0.0071 0.0017 0.0130 0.0087 0.0236 0.0424 0.0433
E/S0 0.0004 0.0022 0.0002 0.0035 0.0050 0.0091 0.0218 0.0280
S 0.0042 0.0104 0.0071 0.0248 0.0748 0.1476 0.7993 1.1632
S 0.0069 0.0156 0.0457 0.0479 0.1042

The optimized corrections were calculated using Eqns. 6, 7. The value of for each galaxy was found by performing a linear regression to fainter outer region of the galaxy light profile with mag/arcsec and measuring its intercept with the ordinate.

Table 4: Comparison between simulated corrections and optimized corrections at the extinction levels , , and .
Galaxy Param.
E/S0 0.0010 0.0080 0.0025 0.0170 0.0148 0.0437 0.0623 0.0972
E/S0 0.0004 0.0044 0.0000 0.0096 0.0037 0.0188 0.0186 0.0276
S 0.0057 0.0157 0.0215 0.0449 0.2520 0.2398 2.0472 1.4042
S 0.0022 0.0175 0.0388 0.0252 0.0868 0.1356 0.1451

The optimized corrections were calculated using Eqns. 9, 10.

Table 5: Comparison between simulated corrections and optimized corrections at the extinction levels , , and .
Figure 4: Comparison between simulated corrections and optimised corrections derived using and , top: E/S0, bottom: S galaxies.
Figure 5: Comparison between simulated corrections and the optimised corrections derived using and , top: E/S0, bottom: S galaxies.

The error bars in Figs. 4, 5 and the plots that follow are the standard deviation error defined as , with , the standard deviation of the binned values and the number of data points in the bin, which are 25 for E/S0, and 39 for S.

The plots and tables show that the accuracy of the corrections are extinction dependent, showing smaller deviations and less dispersion at low levels of extinction. It is also evident that spiral galaxies show larger deviations and more dispersion than elliptical and lenticular galaxies. The relatively larger errors for the spiral galaxies can be attributed to the more structural features like spiral arms, bars traced by their light profiles. The comparison also shows that the corrections parametrized using the disk central surface brightness show less systematic shifts and tighter dispersion than the corrections using the central surface brightness optimization. The better performace of in describing the corrections results from the fact that it is the outer galaxy disk that suffers more of the obscuration.

It is also worth noting that and of the galaxies in the and bands in our ZOA survey are in regions with an extinction where the corrections show very little dispersion.

2.3 Average behaviour (average correction)

The application of the optimized method to estimate the obscuration corrections for galaxies requires the knowledge of the value of and hence the galaxy light profile. In many cases that information is not available, or hard to obtain, like trying to correct isophotal radii or magnitudes for galaxies in a galaxy catalogue such as the 2MASX. For such cases an average correction independent of the galaxy light profile is required. In this section we derive such an average correction. A comparison between the application of the optimized and average corrections is given later in Sect. 3.

The all elliptical galaxies and the majority of the spiral galaxies ( of the spirals) show comparable trends (see Fig. 3), while only a few galaxies (M33, NGC24, NGC247, NGC1073, NGC55, NGC4244, marked on the plots) deviate from the average behaviour. To produce an average correction for each galaxy family E/S0 or S, we excluded the strongly deviating galaxies. For the ones showing the similar behaviour (25 E/S0 and 33 S galaxies) their simulated corrections were binned, resulting in an average correction curve for each family in each of the three bands. These average curves for the , and bands are displayed in Fig. 6. For comparison the -band corrections are displayed as well. The latter are taken from Cameron (1990).

Figure 6: Average correction curves for the 25 E/S0 (top), and 33 S galaxies (bottom) representing the average correction in each respective galaxy class, for the bands , , and band.

As expected, the error bars grow with increasing extinction. It should be noted that the error bars are biased with our selection of galaxies representing the average behaviour. If we would include the strongly deviating galaxies, the error bars would obviously be larger. But given that the majority of the galaxies follow the general behaviour it would be unreasonable to include those outliers for the correction. It is also obvious from Fig. 6 that our correction curves are similar to those given by Cameron for the band, especially the shorter and bands. The average correction curves were then fitted with Eqns. 4, 5. The respective fitting parameters are given in Table 6.

Galaxy Param.
E/S0 b
S b
Table 6: Average fitting parameters for E/S0 and S galaxies.

To gain more insight on the variation of the average correction among the galaxies, we calculated the difference between the simulated corrections and the average corrections for each galaxy at . The average correction was calculated using Eqns. 4, 5 and the parameters in Table 6. In Fig. 7 we plot these differences against the value of for the galaxy in the band. We find that E/S0 galaxies with mag/arcsec and S galaxies with mag/arcsec are generally underestimated by the average correction, while brighter galaxies are overestimated by the correction.

Figure 7: Difference between simulated corrections and average correction for an extinction value of . Top: E/S0, radius correction left panel, magnitude correction right panel. Bottom: S, radius correction left panel, magnitude correction right panel. The values for the galaxy M88 are indicated on the spiral panels with the symbol .

To assess the accuracy of the average correction as a function of extinction, we made a comparison between the simulated corrections and those derived from the average correction in the extinction range . The results are plotted in Fig. 8. A summary is given in Table 7, where we list the mean difference between the simulated data and the average correction value at the extinction levels and , as well as their scatter.

Galaxy Param.
E/S0 0.0085 0.0081 0.0108 0.0170 0.0000 0.0450 0.1089
E/S0 0.0425 0.0046 0.0045 0.0108 0.0266 0.0501
S 0.0348 0.0177 0.0913 0.0530 0.4994 0.2961 2.9797 1.6339
S 0.0406 0.0212 0.0920 0.0502 0.2365 0.1236 0.4594 0.2188

Average corrections were calculated using Eqns. 4, 5, and the parameters in Table 6

Table 7: Comparison between simulated corrections and the average corrections at extinction levels , and .
Figure 8: Comparison between simulated corrections and average corrections.

Similar to the optimized corrections, the average correction method performs better for lower levels of extinction. Comparing Figs. 4, 5 and 8, Tables 4, 5 and 7, we notice that the optimized corrections are more accurate than the average correction method.

3 Discussion

In this paper we present two methods to correct the isophotal magnitudes and radii for galaxies observed in the NIR obscured by foreground extinction. The optimized correction requires knowledge of the galaxy’s light profile. The use of to estimate the corrections is useful as it can also be independently used to roughly categorize the galaxies as early or late type. The average correction method is more straightforward. It gives average corrections at each extinction level in the , , observed wavebands, and only requires the classification of a galaxy as early or late type.

To compare the accuracy of the average and the method, we used their comparison with the simulated corrections, see Figs. 4 and 8 and Tables 4 and 7. For spiral galaxies estimating the magnitude corrections using optimization, shows a systematic shift with a for an obscuration level of . Meanwhile using the average correction shows a with at the same level of extinction. At , has a systematic shift of and a , while the average correction has a with a . Radius corrections for spiral galaxies revealed a similar trend for the two methods, (see Tables 4 and 7). The comparisons for the elliptical galaxies are also given in Tables 4 and 7.

Figures 4, 8 and Tables 4, 7 give the comparison between the optimized and average corrections as compared to the simulated corrections for the extinction values . They clearly emphasize that the optimized correction is more accurate compared to the average correction method. But the average correction remains more useful when applying the corrections to galaxy parameters from a galaxy catalogue.

The optimized correction shows larger shifts and more dispersion than the optimized correction, but smaller shifts and tighter dispersion compared to the average correction.

In the following we give some average correction values to correct magnitudes and radii of obscured galaxies. The average correction estimates a correction to the isophotal magnitude of elliptical galaxies at . This magnitude correction is over and above the correction. The magnitude correction shows a systematic shift of with a at . As a function of radius, ellipticals are estimated to be smaller in radius at , when using the average correction. The radius correction shows a and at the same extinction level (see Table 8).

The isophotal magnitudes of spiral galaxies at are expected to be brighter when applying the average correction. They show a systematic shift of with a at . The average corrections predict that spiral galaxies appear smaller at . The corrections show a systematic shift of with a at the same obscuration level (see Table 8). The table also lists the expected magnitudes and radii corrections respectively at the extinction levels and . The table also lists the systematic shifts and the . The magnitude values listed in Table 8 give the additional dimming, the galaxy size reduction, the systematic shift when using the average correction and their respective . The positive systematic shifts indicate that the average correction under estimates the obscuration corrections.

It is worth mentioning that our corrections agree well with corrections given by Nagayama et al. (2004) for galaxies in the band obscured by . In their work they estimated the extra dimming to elliptical galaxies to be compared to as expected by our average correction. For spiral galaxies they estimated the correction to be which also agree well with our expected correction of . Compared to Nagayama et al. (2004) corrections, our results are useful for higher extinction levels in the three NIR bands , and i.e .

E/S0 0.044 0.004 0.005 0.133 0.005 0.011 0.401 0.002 0.027 0.766 0.013 0.050
S 0.061 0.041 0.021 0.198 0.092 0.050 0.648 0.236 0.124 1.296 0.459 0.219
E/S0 13.0 0.7 0.6 28.3 0.6 0.9 54.8 0.0 0.9 73.3 0.3 0.8
S 11.3 2.7 1.4 28.4 4.4 2.6 60.6 6.5 4.1 81.7 6.5 4.3

The table lists the extra dimming and the radii reduction as estimated by the average corrections. It also lists the systematic shift for comparing the simulated correction and the average correction with the respective . The positive systematic shifts indicate that the average correction under estimate the extinction correction.

Table 8: Average magnitudes and radii corrections at

4 Conclusion

We present two methods to correct galaxies for extinction in the , and bands. The optimized correction methods are more accurate than the average correction. However the average correction method is more straightforward to apply as it requires no knowledge of the light profile of the galaxy but only the classification of galaxies as early or late types. The extinction corrections that we present here are considered as a NIR extension to those for the band derived before by Cameron (1990).

These corrections will be invaluable to the analysis of large scale structures in the ongoing NIR galaxy survey along the Norma Wall in the ZOA. It will also be applicable to other galaxy surveys e.g. 2MASX or prospective ESO galaxy surveys e.g. VISTA Kilo-Degree Infrared Galaxy Survey (VIKING111 http://www.eso.org/sci/observing/policies/PublicSurveys/sciencePublicSurveys.html) using the VISTA telescope.


This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Centre/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. The authors kindly acknowledge funding from the South African National Research Foundation. IFR acknowledges the University of Khartoum and the Stichting Steunfonds Soedanese Studenten for financial support.

The authors would also like to thank the referee for the very careful reading of the manscript and the many remarks and comments they made to improve the overall work.


  • Cameron (1990) Cameron, L. M. 1990,A&A, 233, 16
  • Cardelli et al. (1989) Cardelli, J. A., Clayton, G. C., & Mathis, J. S.  1989, ApJ, 345, 245
  • Fisher & Tully (1981) Fisher, J. R., & Tully, R. B. 1981, ApJS, 47, 139
  • Freeman (1970) Freeman, K. C. 1970, ApJ, 160, 811
  • Jarrett (2004) Jarrett, T. N.  2004, PA SA, 21, 396
  • Jarrett et al. (2003) Jarrett, T. H., Chester, T., Cutri, R., Schneider, S. E., & Huchra, J. P. 2003, AJ, 125, 525
  • Jarrett et al. (2000) Jarrett, T. H., Chester, T., Cutri, R., Schneider, S., Skrutskie, M., & Huchra, J. P. 2000, AJ, 119, 2498
  • Jarrett (2000) Jarrett, T. H. 2000, pasp, 112, 1008
  • Hauschildt (1987) Hauschildt, M. 1987, A&A, 184, 43
  • Kraan-Korteweg & Lahav (2000) Kraan-Korteweg, R. C., & Lahav, O. 2000, A&ARV, 10, 211
  • Masters et. al (2008) Masters, K. L., Springob, C. M., & Huchra, J. P. 2008, AJ, 135, 1738
  • Nagayama et al. (2004) Nagayama, T., Wouldt, P.A., & Nagashima, C. et al. 2004, MNRAS, 354, 980
  • Schlegel et al. (1998) Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525
  • Skrutskie et al. (2006) Skrutskie, M. F., et al. 2006, AJ, 131, 1163
  • Comments 0
    Request Comment
    You are adding the first comment!
    How to quickly get a good reply:
    • Give credit where it’s due by listing out the positive aspects of a paper before getting into which changes should be made.
    • Be specific in your critique, and provide supporting evidence with appropriate references to substantiate general statements.
    • Your comment should inspire ideas to flow and help the author improves the paper.

    The better we are at sharing our knowledge with each other, the faster we move forward.
    The feedback must be of minimum 40 characters and the title a minimum of 5 characters
    Add comment
    Loading ...
    This is a comment super asjknd jkasnjk adsnkj
    The feedback must be of minumum 40 characters
    The feedback must be of minumum 40 characters

    You are asking your first question!
    How to quickly get a good answer:
    • Keep your question short and to the point
    • Check for grammar or spelling errors.
    • Phrase it like a question
    Test description