The Galactic extinction and reddening from the South Galactic Cap U-band Sky Survey: u band galaxy number counts and $u-r$ color distribution
Linlin Li, Shiyin Shen, Jinliang Hou, Fangting Yuan, Jing Zhong, Hu, Zou, Xu Zhou, Zhaoji Jiang, Xiyan Peng, Dongwei Fan, Xiaohui Fan, Zhou Fan,, Boliang He, Yipeng Jing, Michael Lesser, Cheng Li, Jun Ma, Jundan Nie, Jiali, Wang, Zhenyu Wu, Tianmeng Zhang, Zhimin Zhou

TL;DR
This study uses galaxy counts and color distributions from the SCUSS survey to measure Galactic extinction and reddening, comparing results with the SFD map and confirming the standard extinction law in low extinction regions.
Contribution
It provides an independent assessment of Galactic extinction and reddening using galaxy data, revealing overestimation by SFD in high extinction areas and confirming the standard extinction law.
Findings
Good agreement with SFD at low extinction regions
SFD overestimates reddening in high extinction regions
Extinction curve matches standard R_V=3.1 law
Abstract
We study the integral Galactic extinction and reddening based on the galaxy catalog of the South Galactic Cap U-band Sky Survey (SCUSS), where band galaxy number counts and color distribution are used to derive the Galactic extinction and reddening respectively. We compare these independent statistical measurements with the reddening map of \citet{Schlegel1998}(SFD) and find that both the extinction and reddening from the number counts and color distribution are in good agreement with the SFD results at low extinction regions ( mag). However, for high extinction regions ( mag), the SFD map overestimates the Galactic reddening systematically, which can be approximated by a linear relation ]. By combing the results of galaxy number counts and color distribution together, we find that the shape of the…
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The Galactic extinction and reddening from the South Galactic Cap -band Sky Survey: u band galaxy number counts and color distribution
Linlin Li 11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] 22affiliation: University of Chinese Academy of Sciences, 19A Yuquanlu, Beijing, China, 100049 , Shiyin Shen 11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] 33affiliation: Key Lab for Astrophysics, Shanghai 200234 China; [email protected] †, Jinliang Hou11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] , Fangting Yuan 11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] , Jing Zhong 11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] , Hu Zou 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Xu Zhou 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Zhaoji Jiang 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Xiyan Peng 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Dongwei Fan 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Xiaohui Fan 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Zhou Fan 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Boliang He44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Yipeng Jing 66affiliation: Center for Astronomy and Astrophysics, Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China , Michael Lesser 55affiliation: Steward Observatory, University of Arizona, Tucson, AZ 85721, USA , Cheng Li 11affiliation: Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan
Road, Shanghai, China, 20030; [email protected] , Jun Ma 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Jundan Nie 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Jiali Wang 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Zhenyu Wu 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Tianmeng Zhang 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China; , Zhimin Zhou 44affiliation: Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China;
Abstract
We study the integral Galactic extinction and reddening based on the galaxy catalog of the South Galactic Cap U-band Sky Survey (SCUSS), where band galaxy number counts and color distribution are used to derive the Galactic extinction and reddening respectively. We compare these independent statistical measurements with the reddening map of Schlegel et al. (1998)(SFD) and find that both the extinction and reddening from the number counts and color distribution are in good agreement with the SFD results at low extinction regions ( mag). However, for high extinction regions ( mag), the SFD map overestimates the Galactic reddening systematically, which can be approximated by a linear relation ]. By combing the results of galaxy number counts and color distribution together, we find that the shape of the Galactic extinction curve is in good agreement with the standard extinction law of O’Donnell (1994).
Key words: dust, extinction — techniques: photometric — methods: statistical
††affiliationtext: [email protected]
1 Introduction
Interstellar dust absorbs and scatters photons from most astronomical sources (Draine, 2003), which causes extinction and reddening in observations. All the extragalactic objects are extincted and reddened by the Milky Way interstellar dust (Oguri, 2014; Denney et al., 2010). A map of the integral Galactic dust extinction is essential for all extragalactic studies.
The most commonly used all-sky dust extinction map was constructed by Schlegel et al. (1998) (hereafter SFD), which was derived from the composite of the COBE/DIRBE and IRAS/ISSA infrared maps and the Leiden-Dwingeloo map of HI emission. With values provided by the SFD map, the Galactic extinction in any given photometric band can be parameterized by , where is the extinction coefficient determined by the Galactic extinction curve (see Cardelli et al. 1989 and it’s update O’Donnell 1994, hereafter ODO).
The values of the SFD map have been tested by many independent measurements. Arce & Goodman (1999) used four different methods to derive the extinction in the Taurus dark cloud complex, suggesting that the SFD map overestimates the extinction by a factor of in regions where mag (see also Dobashi et al., 2005; Schlafly et al., 2010; Schlafly & Finkbeiner, 2011; Yuan et al., 2013). However, these tests are typically based on spectral types of Galactic stars. The integral line-of-sight dust to stars is not directly comparable to, but the lower limit of the integral Galactic extinction of extragalactic sources.
Galaxy number count is an independent approach that can test the integral Galactic extinction. Under the assumption of an isotropic galaxy distribution on large scales, there will be smaller number of galaxies in the direction of higher Galactic extinction down to the same apparent magnitude (Burstein & Heiles, 1982; Fukugita et al., 2004; Yasuda et al., 2007). Using the band galaxy number counts in the Sloan Digital Sky Survey (SDSS; York et al., 2000), Yasuda et al. (2007) found that the SFD map overestimates the Galactic extinction in high extinction regions ( mag).
Besides extinction effect, Galactic dust also reddens the colors of background galaxies (González et al., 1999; Schröder et al., 2007; Peek & Graves, 2010). Compared with the number counts of galaxies, the average color relies less on the assumption of a homogeneous distribution of galaxies. Using passive galaxies as color standards, Peek & Graves (2010) estimated the Galactic reddening and, on the contrary, found that the SFD map under-predicts the reddening toward low Galactic latitudes (high extinction regions). However, as claimed in Peek & Graves (2010), this result does not necessarily conflict with the galaxy number counts ones since the regions in this study all have .
To have a better constraint on the Galactic extinction and resolve possible conflicts between the studies of galaxy number counts and galaxy colors, a high quality photometry data in shorter wave-length (e.g. band) is helpful where the extinction/reddening effect is more significant. For the SDSS data, the photometry depth and accuracy in band is not comparable to the other bands due to its low efficiency. Alternatively, the South Galactic Cap -band Sky Survey (SCUSS) (Zhou et al., 2016), which is a band (354nm) survey in high latitude region of the South Galactic region, and provides band data with a depth of about 1.5 magnitude deeper than the SDSS one. In this study, we take the released catalog of SCUSS (Zou et al., 2016) to study the Galactic extinction with both the band galaxy number counts and color distribution by further combining the SDSS data. Our motivation is to take the advantages of the SCUSS band data and make a detailed and self-consist statistical study on the Galactic extinction and reddening in the south Galactic cap region.
This paper is organized as follows. In Section 2, we introduce the galaxy catalog related to this study. In Section 3 and Section 4 , we study the Galactic extinction and reddening using the band galaxy number counts and color distribution respectively. We discuss the Galactic extinction curve in Section 5. Finally, we give a brief summary in Section 6.
2 Data
2.1 SCUSS photometry
SCUSS is a deep (deeper than SDSS) band image survey in the north part of the south Galactic cap region. The effective wavelength of the SCUSS band filter is 3538 Å, slightly different from (bluer than) the SDSS band. The survey is undertaken on the 2.3m Bok telescope at Kitt Peak with a 4k4k CCD camera, which provides a field of view 1°.081°.03 and image resolution of 0.454 arcsec per pixel. The footprint of the survey is initially designed to be the region where and and later slightly extended to lower Galactic latitudes. Each field typically has two exposures and the total exposure time amounts to more than 5 minutes, which provides photometry depth of about 1.5 mag deeper than the SDSS band data (see more discussions in Section 2.3). The overview of the survey can be found in Zhou et al. (2016) and visited from http://batc.bao.ac.cn/Uband/. In this study, we take the released data of SCUSS, which includes 3700 fields and with a total sky coverage of about 4115 deg2 (Zou et al., 2016). The details of the data reduction of SCUSS images can be found in Zou et al. (2015). Here, we list some key ingredients of the data reduction related to this study.
The single-epoch images are first stacked to form a combined image for each field. SExtractor (Bertin & Arnouts, 1996) is then used to detect objects on the stacked images. The detected sources are named as “total sources” with “automatic magnitude” recorded, which are also classified as point/extended sources according to “BERTIN_G_S”. For these fields also with SDSS photometry, the “total objects” were then matched with the objects in the SDSS Data Release 9 (DR9) catalog with any of the magnitudes measured. All the matched objects are noted as “core sources”. For these “core sources’, the flag “Type” in SDSS band replaces the “BERTIN_G_S” and is used to make the star/galaxy classification. For galaxies in “core sources”, their SDSS band de Vaucouleurs and exponential likelihoods are further adopted to derive the model magnitude (“modelMag”) in SCUSS -band as for the “modelMag” in other SDSS bands.
In this study, we take “total sources” for band galaxy number counts (Section 3) and use “core sources” for reddening measurements from colors (Section 4). Since we aim to study the Galactic extinction using the extragalactic sources, all the magnitudes of galaxies have not been corrected for Galactic extinction.
2.2 Galaxy sample
In this study, we take the galaxies from the region where SCUSS overlaps with SDSS. The SDSS footprint in the south Galactic region is about 5192 deg2 and its photometry catalog had been released in DR8 (Aihara et al., 2011). Among 3700 SCUSS fields, 3070 are fully covered by SDSS and the total sky coverage is 3415 deg2.
To ensure the uniformity of the photometry of the final sample of galaxies, we make further detailed selections on both the SCUSS and SDSS data.
Bright star mask
Bright stars contaminate the photometry of both the SCUSS and SDSS data. We use the bright star masks of the BOSS tilling geometry 111http://www.sdss3.org/dr9/algorithms/boss_tiling.php to remove the area contaminated by the bright stars (Blanton et al., 2003). For 3415 deg2 SCUSS/SDSS area, the total area inside the bright star masks amounts to 33.88 deg2.
SCUSS exposure time selection
In each field of the SCUSS, even for the combined image, not all the areas have been covered by 2 exposures because of the gaps in the CCD camera (Zou et al., 2015). Figure 1 shows an example of the exposure map for a typical SCUSS field. As can be seen, there are few stripes at the CCD gap regions with only one exposure, whereas few overlapped regions have more than two exposures. To ensure the uniform optical depth in the galaxy number counts, we take the survey exposure map and only select galaxies inside the field with more than one exposure. With such a selection, the sky coverage of SCUSS/SDSS data is further reduced to 2987 deg2.
SDSS poor photometry
In SDSS, there are image masks indicating poor photometry 222http://data.sdss3.org/sas/dr9/boss/lss/badfield_mask_unphot-ugriz_pix.ply. Inside the SDSS/SCUSS overlapping area (2987 deg2 after removing the SCUSS gaps), the total area with poor photometry mask adds up to 18.17 deg2. For SCUSS, the photometry of all fields are good since all poor fields have been observed repeatedly.
In summary, when we do the galaxy number counts in SCUSS, we only select galaxies in the area with at lease 2 exposures and avoid the area contaminated by bright stars. When we include the SDSS photometry to study the colors in Section 4, we further exclude the galaxies within the SDSS poor photometry mask. We take “automatic magnitude” for galaxy number counts and use “model magnitude” when studying their colors.
2.3 Galaxy number counts in SCUSS
In Figure 2, the top panel shows the histogram of the galaxy number counts in SCUSS band whereas the bottom panel shows the median photometric error in each given magnitude bin (solid histograms). We also plot the SDSS band results as the dashed histograms for comparison.
Apparently, the number counts of galaxies in SDSS band even outnumbers the SCUSS data (up panel). The main reason of this outnumbering is that the “modelMag” in band of SDSS is a forced measurement based on the profile model of SDSS band which is even deeper than the SCUSS band data for typical galaxies (see color distribution of galaxies in Section 4). Because of this, the SDSS band data have significantly larger photometric errors than the SCUSS sources (bottom panel). To further illustrate this, we also show the number counts of the SDSS and SCUSS band galaxies with photometric error smaller than 0.1 mag as the red dashed and red solid histograms in the top panel. After removing the objects with high photometric uncertainty, the SDSS band number counts match the SCUSS data at bright end () more closely. However, the galaxies in SDSS band still outnumbers the SCUSS catalog at very bright end ( mag). To further verify these excess detections in SDSS, we have made visual inspections on both of the SDSS and SCUSS band images. We find that, except fake detections from diffraction spikes of bright stars, most of these ‘bright objects’ are caused by the forced fitting of the model magnitude with unrealistic large apertures.
3 Galactic extinction in band
In this section, we take the SCUSS galaxy catalog and use their number counts to study the Galactic extinction and compare it with the SFD extinction map. The SFD extinction map in band (using ODO extinction curve with ) of the 3070 SCUSS/SDSS fields is shown in the top panel of Figure 3 (in Galactic coordinate). As can be seen, because of the high extinction coefficient in band (), the expected extinction values span a very wide range even for our high Galactic latitude footprint (), from the lowest 0.11 mag to as high as 1.5 mag for a few regions.
The sky resolution of SFD maps is per pixel. Inside a pixel of the SFD extinction map, the number of galaxies is too small for statistical study. Even for a SCUSS field, the number of galaxies is still not large enough to make high accuracy statistics. Nevertheless, the aim of this study is not to obtain a high resolution Galactic extinction map from galaxy number counts, but to make a systematical comparison of the Galactic extinction with the SFD map. Therefore, we gather as large as the sky coverage with similar Galactic extinction so as to get high statistical significance.
Similar to the approach in Yasuda et al. (2007), we partition the total SCUSS/SDSS fields into 25 combined regions according to the values of the SFD map. For simplicity, we take each SCUSS field as a unit to build the combined regions if the Galactic extinction inside it is close to a uniform distribution. In specific, we calculate the mean and standard deviation of distribution for each SCUSS field (see the bottom panel of Figure 3). These SCUSS fields with normalized standard deviation smaller than 0.16 (the typical uncertainty of the SFD map) are then considered to have uniform distributions. As can be seen from the bottom panel of Figure 3, the majority of the fields (2134 of 3070) are located below the separation line (), i.e. satisfying the uniform criteria. For the remaining 936 patchy fields, we further divide each of them into sub-fields (). After that, the Galactic extinction distributions inside all these sub-fields satisfy the uniform criteria again. Combining all these uniform fields and sub-fields, we finally get 35830 ‘units’. We then rank these units according to their mean values. There are 72 ‘units’ with very low extinction (), which are combined as our reference region (see more details below). Next, for the ‘units’ with , we set the bin width of being 0.03 mag and get 12 bins. For high extinction regions (), we require each combined region to have at least 20 square degree sky coverage so as to ensure the statistical significance. With this requirement, we further get 12 combined regions within the range . In Figure 4, we show the total areas of all combined regions as function of their ranges.
We derive the Galactic extinction in the SCUSS band by comparing the galaxy number counts of the extincted regions with that of the reference region (Fukugita et al., 2004; Yasuda et al., 2007). For the reference region, we correct the magnitudes of galaxies using the Galactic extinction values from the SFD map. We show the SCUSS band galaxy number counts distributions (in terms of the number of galaxies per square degree per 0.5 magnitude) of an example region and the reference region as the solid and opened circles in Figure 5 respectively. The example region is taken from Figure 4 where ().
For both the reference and extincted regions, the galaxy number counts in the magnitude range () show nice linear relations in the logarithm space. We fit a linear relation for the reference region with equation
[TABLE]
Then, we fix the and values and fit a relation
[TABLE]
for the extincted region. Obviously, the fitting parameter is the average Galactic extinction of the extincted region.
It is worth mentioning that, to have self-consistent fitting results, the fitting range of the extincted region should also be shifted from the reference region by an amount of . More specifically, we set the fitting ranges to be and for the reference and extincted region respectively. The upper magnitude limit mag is chosen where the SCUSS photometric error is smaller than 0.1 mag (Figure 2), whereas the lower magnitude is selected where the Poisson error of the galaxy number counts is smaller than 5 percent. The fitting result () and fitting ranges are finally obtained by iteration. We show the results of the two fitting relations as the dashed line (reference region) and solid line (extincted region) in Figure 5 respectively. For this example region, the Galactic extinction we obtain is , which is in excellent agreement with the SFD map values (). The error of is estimated from the bootstrap sampling of the SCUSS galaxies.
We make galaxy number counts studies for all 24 combined regions and then compare the resulted estimations with the SFD values in Figure 6. As can be seen, for low extinction regions ( mag), the extinction values derived from galaxy number counts are in excellent agreement with the SFD values. However, for high extinction regions ( mag), the SFD values are systematically higher.
As we have mentioned, is derived from , whereas is converted from 100 infrared flux. Both conversions use the standard ODO extinction curve (see APPENDIX for detail). Therefore, the overestimation of at high extinction regions either comes from the overestimation of the Galactic dust (conversion from 100 flux) or a systematical variation of the extinction curve, or both. We leave the discussion of the variation of the extinction curve in Section 5. Assuming the Galactic extinction curve does not show systematical change at high extinction regions, our results indicate that the SFD map have overestimated the Galactic extinction up to 40 percent for mag regions.
4 Galactic reddening in
In this section, we further use the color distribution of galaxies to test the Galactic reddening of the SFD map. For SCUSS galaxies with , except the extreme blue ones (, not used in our statistical study), the color of all other galaxies can be matched from the SDSS band photometry catalog (complete to ).
To measure the Galactic reddening of galaxies, a statistical quantity, i.e. the intrinsic color of galaxies need to be well defined. Strateva et al. (2001) studied the colors of SDSS galaxies and found that galaxies can be separated into two populations with separation at . In this study, we use the color peak of the blue galaxies () as a statistical measurement. Unlike the mean or median of the colors of galaxies, the peak of the distribution takes advantage of being unbiased by the incompleteness of the galaxies with extreme colors (e.g. galaxies in our study). Same as the algorithm in Section 3, we partition the SDSS/SCUSS footprint into 25 regions according to their SFD values . For each region, we select the galaxies with and measure the peak of their distribution. More specifically, we assume that the color of each individual galaxy follows a Gaussian probability distribution function,
[TABLE]
where and are its observed color and photometric uncertainty. The global distribution of the sampling galaxies is then obtained by adding the probability distributions of individual galaxies
[TABLE]
where N is the number of galaxies in consideration. We measure the peak of the resulted distribution with a step of 0.01 mag and estimate its uncertainty with 50 times of bootstrap samplings.
We show the distributions of the galaxies in the reference region and the example region () with solid and dotted curves in Figure 7 respectively. As expected, the peak of in the example region shows a significant shift to the reference region, which tells us how much the galaxy colors are averagely reddened in the reference region. However, this shift is not the exact average Galactic reddening value we want to derive.
There is an intrinsic color-magnitude relation of galaxies, i.e. brighter galaxies also look redder. The Galactic dust not only reddens galaxy’s color but also extincts its flux. Therefore the galaxies with mag in the extincted region are intrinsically brighter than the mag galaxies in the reference region, which makes the galaxies in extincted region intrinsically bluer. To quantify this intrinsic color-magnitude relation, we separate galaxies into different magnitude bins and measure the peak of their colors accordingly. As an example, we plot the peak of the distribution as function of magnitude in Figure 8 for the example and reference regions respectively. Color-magnitude relations are clearly seen for both samples. We fit a linear relation between the peak color and magnitude for the reference region
[TABLE]
and then fit the corresponding relation
[TABLE]
for the extincted region, where and are fixed to the fitting values of Equation 5. In Equation 6, and are the average reddening and extinction of the given extincted region respectively. For each extincted region, the average extinction has already been obtained from the galaxy number counts in Section 3 (Figure 6). For consistence, we set the fitting ranges of Equations 5 and 6 to be mag and mag respectively. The fitting ranges of Equation 5 and 6 are fainter than those of Equation 1 and 2, which is due to the fact that we need more number of galaxies to constrain the color peak. The average Galactic reddening of the example region obtained from Equation 6 is , which is also in excellent agreement with the SFD value for the standard ODO extinction curve.
The average Galactic reddening of all 24 regions is shown in Figure 9. In this plot, the from color distribution is plotted against the mean from SFD map, which is converted from using the standard ODO extinction curve. We see that the values from galaxy colors are in good consistence with the SFD results at the low reddening regions ( ). Again, for high reddening regions (), the SFD reddening values deviate from the galaxy color measurements systematically. Such results are very close to the galaxy number counts results shown in Figure 6.
To have a better combination of the results from Figure 6 and Figure 9, we plot the differences of the values between our measurements and the SFD map as function of in Figure 10. The and are both converted back to values using the ODO extinction curve. The two methods show very consistent results that the SFD map overestimates the reddening values at high extinction regions systematically. Such an overestimation can be approximated by a linear relation
[TABLE]
when , which is shown by the solid line in Figure 10. We also plot the fitting relation of Yasuda et al. (2007) (their Equation 2) and the result of Schlafly & Finkbeiner (2011) () as the dashed and dotted-dashed lines respectively for comparison. Our result is in good agreement with Yasuda et al. (2007).
Both of our study and the study of Yasuda et al. (2007) use the galaxy number counts whereas the study of Schlafly & Finkbeiner (2011) uses the blue tip of the stellar locus to constrain the Galactic reddening. Moreover, the footprint of our study and of Yasuda et al. (2007) are both in south Galactic cap region (although our footprint is much larger), whereas the study of Schlafly & Finkbeiner (2011) is mainly in the north Galactic sky. Therefore, the different correction of Schlafly & Finkbeiner (2011) may either come from the systematics of the methods or from the different reddening properties in Galactic coordinates.
5 Discussion: Galactic extinction curve
In Section 3 and 4, all Galactic extinction and reddening from SFD map are derived using the standard ODO extinction curve. However, as shown detailed in APPENDIX, all these values are model (extinction curve) dependent. Whether the inconsistent results with SFD map shown at high extinction regions could be reconciled by introducing extinction curves with other values or other model of extinction curve under the assumption that the dust emission provide by SFD is correct?
5.1 Extinction curve with different values
As we have shown in Figure 6 and Figure 9, the Galactic extinction and reddening are systematically overestimated by the SFD map when using standard extinction curve. However, this overestimation may also be explained by using an extinction curve with higher values. Indeed, some studies have shown that increases towards the dense star forming regions (e.g. Savage & Mathis, 1979; Cardelli et al., 1988; Wang et al., 2013).
To test this idea, we convert the values of SFD map back to the Galactic extinction at near-infrared wavelength 1 (), which is believed to be no more dependent on the Galactic extinction curve. We plot and against in the top and middle panel of Figure 11 respectively. At given , and can be easily predicted for the extinction curves with different values (see APPENDIX for detail).
As expected, at low extinction regions (small ), our results are in good agreement with the extinction curve. While at high extinction regions, it seems that the inconsistence between our results and the SFD values can be reconciled by using the extinction curves with higher values. To further test this idea, we force the and values to be consistent with the values (the two solid lines in the top and middle panel of Figure 11) and calculate the required values in turn, which are shown as the solid and dashed line in the bottom panel of Fig. 11 respectively. As can be seen, we can not get self-consistent results between the galaxy number counts and color distribution by only varying the values of the extinction curves.
5.2 ODO VS FM extinction curve
The and values, besides both being model (extinction curve) independent measurements, also provide a strong constraint on the shape of the Galactic extinction curve when combined together. In Figure 12, we plot against values and compare their relation with the results of the two most frequently used extinction curves, the ODO and Fitzpatrick (1999)(FM) one. For the ODO and FM extinction curves, the slopes of the and relation, i.e. the values, are 2.203 and 2.114 respectively. As can be seen, the and relation is in excellent agreement with the ODO extinction curve, which is also significantly better than the FM one.
In order to further quantify the differences between the ODO and FM extinction curves, we make a linear fitting on the relation of and . Considering the uncertainty of the zero reddening of the reference region, we do not set the intercept of the fitting relation to be zero but set it as a free parameter. The fitting results we get are . The intercept value from fitting is in agreement with zero, while the slope value confirms that the ODO extinction curve is better than the FM one in about level.
The excellent agreement with the ODO extinction curve of the and relation strongly implies that the overestimation of the Galactic reddening of the SFD values at high extinction regions is indeed caused by the over-estimation of the infrared flux (or its conversion factor) and unlikely be explained by the variation of the extinction curve.
6 Summary and Conclusion
In this paper, we use the galaxy catalog of South Galactic Cap -band Survey to study the integral Galactic extinction and reddening using galaxy number counts and color distribution respectively. Benefited from the sensitivity of band to dust extinction and SCUSS depth (1.5 mag deeper than SDSS), we have obtained the average Galactic extinction and reddening in the south Galactic cap region with unprecedented statistical accuracy. By combining and results together, we constrain the shape of Galactic extinction curve and find that it is in excellent agreement with the standard ODO extinction law. Our results also confirm that the SFD map overestimates the Galactic extinction at higher extinction regions (). This overestimation is up to the level of about 40 percent and can be corrected using a linear relation ]. As already been discussed in Yasuda et al. (2007), this overestimation may be caused by the underestimation of the dust temperature of the 100 emission when constructing the SFD extinction map.
The footprint in this study located in high Galactic region where the Galactic reddening does not reach very high extinction value as that in the Galaxy disk. The maximum value we can statistically probe is about 0.35. Therefore, the overestimation and correction of the SFD map we find at (Equation 7) may only be valid in the range . Moreover, although our study covers a large footprint of the south Galactic cap region ( 3000 square degrees), we caution that this conclusion may also only be valid in the studied areas. As shown by Welty & Fowler (1992) and Fitzpatrick (1999), the Galactic extinction pattern (dust properties) may vary significantly in difference positions. Independent measurements of the Galactic extinction and reddening (as in our study) in very highly extincted regions and with all sky coverage worth further studies.
LL thanks Hengxiao Guo and Shuai Feng for help of useful discussions. This work was supported by the National Natural Science Foundation of China (NSFC) with the Project Numbers 11573050, 11433003, the “973 Program” 2014 CB845705 and the Strategic Priority Research Program “The Emergence of Cosmological Structures” of the Chinese Academy of Sciences (CAS; grant XDB09030200). .YFT is supported by NSFC with No.11303070.
Appendix A Galactic extinction and reddening from SFD map
In SFD, the m thermal emission is converted to reddening by , where is a calibration coefficient, and represents the point source-subtracted -resolution 100 m emission corrected by a temperature factor. In the released SFD map of , is calculated using the standard ODO extinction law and then calibrated using the colors of elliptical galaxies.
For the extinction curves other than the standard ODO one, the released SFD map can not be directly used to calculate the Galactic extinction and reddening values. Alternatively, the values of the SFD map can be converted back to the Galactic extinction in near-infrared wavelength (e.g. 1 ), which is believed to be dependent on the extinction curve very weakly. Then, the Galactic extinction curves can be expressed as
[TABLE]
For a given value, the Galactic extinction in any given band is calculated by
[TABLE]
where is the transmission curve of the given band, and is the source spectrum. The transmission curve is a convolution of the filter transmission, CCD quantum efficiency, and atmospheric extinction, which are publicly available for all photometric bands333The SCUSS band transmissions is available at
http://batc.bao.ac.cn/BASS/doku.php?id=scuss:facilities:homefilter.
The SDSS band data is avaliable at
https://www.sdss3.org/instruments/camera.php . For , we take the mean galaxy spectrum from SDSS. We have tested that a more realistic source spectrum make negligible changes to all of our results.
For a given extinction curve, we calculate the extinction coefficient for all the related bands. The resulted , , and values are plotted as function of values for FM and ODO extinction curves in Figure 13.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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