A brief review of the cold dust in galaxies near and far

I did a review of the cold dust in galaxies from nearby to high-redshift (mostly observational results) last semester in the group activity. I think it’s good for me to post the slides here and to share with you. However, I may have made a lot of mistakes, and I’d like to discuss them with you.

Click here to download.

Notes on Jia-S. Huang’s talk

The talk was given by Jiasheng Huang, in Sufute Building, Nanjing University, 09.30.

The topic of the talk is “HectoSpec Redshift survey for SWIRE/FLS MIR Sources“. First, there are two unfamiliar nouns to me, namely HectoSpec and SWIRE/FLS. I just checked the google, who told me that:

Hectospec is a moderate-resolution, multiobject optical spectrograph fed by 300 optical fibers. The instrument is composed of a robotic positioner and a large, bench-mounted spectrograph, joined by a bundle of 25m long optical fibers.

and

The Spitzer Wide-area InfraRed Extragalactic survey is one of six very large programs undertaken as Legacy surveys during the first year of the Spitzer Space Telescope. SWIRE has imaged nearly 50 square degrees divided among 6 different directions on the sky.

and

The First Look Survey is a set of 32 MOSAIC images covering the entire extragalactic First Look Survey region using four nights of NOAO Director’s Discretionary time at the Kitt Peak 4m telescope. This region is now part of the SWIRE Legacy program. MASKS are also included in this release.

So that’s the reason why the topic is written as “SWIRE/FLS”. The Fibers of the HectoSpec is located on the 6.5m MMT, having a wavelength coverage from 3500 \AA to 10000 \AA, and the limit magnitude of the fiber is down to 22.5. And then the topic came to the science part. Why they selected from Spitzer Catalog (SWIRE/FLS)? That’s because the SED of galaxies contains two peaks, which are in optical and FIR respectively. Each of the part shares roughly half the total energy coming from the source. So if we just observe those sources from optical instrument, we would miss half of the information, and this is the motivation. You can see the figure on the right clearly expressing this opinion. So they chose 24 micron sources from SWIRE/FLS and observed them using HectoSpec.
We need to know some basic lines for the observation, such as H_\alpha, OIII, OII(375 nm), Mg(280 nm), and Lyman\alpha emission lines, while Ca H&K are famous absorption lines. And Lyman\alpha is very important in the study of QSOs. He showed some spectrum having P Cygni profile as well, and that supposed to be the expanding shell around the Black Hole. Next, he mentioned about K+A galaxy, which means the galaxy’ SED have both the features (line features) of K type and A type stars. This kind of feature may indicate that the galaxy is ongoing a post-starburst stage of evolution. And he also talked about a basic technique for separate AGN and starburst galaxies from spectral observation, by using the line ratio: OIII/H_\beta and NII/H_\alpha. Dividing the parameter space made by these two ratios using a solid line and a dashed line, we can tell the type of the sources in different regions of the parameter space.
The recent figure of the physical process of galaxy evolution tells we should expect an IR suppression in the AGN stage, due to the feedback (M. Haas et al, 2003, A&A). As shown in the figure down below, the luminosity decrease as time goes by, and in the end it will become a giant elliptical galaxy with very weak FIR luminosity, namely the dead quasar with few gas and dust.


Evolution
The different stages of the evolution model (M. Haas et al, 2003)

And then he put a figure on the slide about the relation between L_{FIR} and F_{NIR} which I do not understand very well. Also, he showed the relation of T_d and L_{IR} which I saw the similar one in L. Dunne et al. 2000 before.
He and his student’s work tells that the FIR radiation does not vary in different kinds of the quasars they selected. And this is controversial from Martin’s model above. People believe that the FIR radiation comes from the star-forming activity of the host galaxies. But Herschel team find some high rotational CO lines from the galaxies which is unlikely (can not) to be excited by the Star Formation but likely to be excited by the AGN activity. So the questions remains open.

Some notes on dust emission, dust mass, etc

We start from the basic formula from the theory of radiative transfer, namely the formal solution of the radiative transfer equation,

(1)   \begin{equation*} {dI_\nu \over d\tau_\nu} = -I_\nu+S_\nu . \end{equation*}

We can derive the formal solution of the equation as

(2)   \begin{equation*}  I_\nu (\tau_\nu)=I_\nu(0)e^{-\tau_\nu}+\int^{\tau_\nu}_0 e^{-(\tau_\nu-\tau_\nu ')}S_\nu(\tau_\nu ')d\tau_\nu '. \end{equation*}

If we now consider a CONSTANT SOURCE FUNCTION S_\nu, then Eq.(2) gives the solution

(3)   \begin{equation*} I_\nu(\tau_\nu)=I_\nu(0)e^{-\tau_\nu}+S_\nu(1-e^{-\tau_\nu}). \end{equation*}

Here we use Kirchhoff’s Law in thermal radiation for further discussions, regarding the dust as a blackbody. So we can rewrite the Eq.(3) as

(4)   \begin{equation*} I_\nu(\tau_\nu)=I_\nu(0)e^{-\tau_\nu}+B_\nu(1-e^{-\tau_\nu}), \end{equation*}

and B_\nu is the Planck Function. Because we do not consider the emission behind the medium which is not from the dust, we simply let I_\nu(0)=0. Finally we can reform the formula as below,

(5)   \begin{equation*} I_\nu(\tau_\nu)=B_\nu(1-e^{-\tau_\nu}), \end{equation*}

Then we can define the opacity

(6)   \begin{equation*} \tau_\nu=\int^s_0 \kappa_\nu \rho ds, \end{equation*}

and we will get

(7)   \begin{equation*} I_\nu(\tau_\nu)=B_\nu(1-e^{\int^0_s \kappa_\nu \rho ds}). \end{equation*}

In Rayleigh-Jeans Regime, \tau_\nu \ll 1, so

(8)   \begin{equation*} I_\nu(\tau_\nu) \approx B_\nu \tau_\nu = B_\nu \int^s_0 \kappa_\nu \rho ds. \end{equation*}

In practically observational view, the relation between monochromatic specific intensity I_\nu and a Plank Function at T_d is defined using emissivity \epsilon_\nu or Q_\nu, namely I_\nu=Q_\nu B_\nu (T_d). In the same way, we consider the Rayleigh-Jeans Regime, the opacity will be \tau_\nu \approx Q_\nu. Then we often use an exponential function to fit the data as

(9)   \begin{equation*} I_\nu(\tau_\nu) = \tau_0 (\nu / \nu_0)^\beta B_\nu. \end{equation*}

And \tau_0=1, \nu_0 is the frequency where \tau_0=1. \beta is the so-called emissivity index, which is about 1.5~2, see L. Dunne et al., 2001 (1). For big dust grains, it tends to be 2 while for smaller ones, the value becomes lower.
If we assume \kappa_\nu is a constant along the path, then we can reform Eq.(8) as

(10)   \begin{equation*} I_\nu(\tau_\nu) = B_\nu \kappa_\nu \rho s = B_\nu \kappa_\nu \rho V {S \over V}={B_\nu \kappa_\nu M_d \over N \sigma}, \end{equation*}

where V is the total volume of the cloud, M_d is the total dust mass, N is the total number of dust grains, and \sigma is the cross section of one dust grain.
Because S_\nu=I_\nu \Omega_s, \Omega_s=N\sigma/D^2, and L_\nu=4 \pi D^2 S_\nu so

(11)   \begin{equation*} S_\nu=B_\nu \kappa_\nu M_d {\Omega_s \over N \sigma}=B_\nu \kappa_\nu M_d {N \sigma \over D^2 N \sigma} = {B_\nu \kappa_\nu M_d \over D^2} \end{equation*}

and

(12)   \begin{equation*} L_\nu=4 \pi D^2 S_\nu = 4 \pi B_\nu \kappa_\nu M_d. \end{equation*}

When the redshift is non-negligible, we need to use luminosity distance D_L to replace the distance D used above. Thus the flux and luminosity should be corrected (called K-correction). Because the energy of the source is constant. So we use

(13)   \begin{equation*} L_{\nu_e} {\nu_e} =L_{\nu_o} {\nu_o},\quad 1+z={\nu_e} / {\nu_o} \Rightarrow L_{\nu_o}=(1+z)L_{\nu_e}, \end{equation*}

and

(14)   \begin{equation*} \quad D_L=\sqrt{L_{\nu_o}/4\pi}, \end{equation*}

to correct the formula above, where e stands for the rest frame quantity and o stands for the observed quantity. Then we reform the formula Eq. (11) and Eq. (12) as below,

(15)   \begin{equation*} S_\nu={(1+z) \over {D_L}^2} B_\nu \kappa_\nu M_d, \quad L_\nu=4 \pi B_\nu \kappa_\nu M_d. \end{equation*}

The left one above is the formula (1) in Beelen et al., 2006 (3). IF we want to get the far-infrared (FIR hereafter) luminosity, we should simply integrate over the FIR (cover the whole dust continuum) as,

(16)   \begin{equation*} L_{FIR}=4 \pi M_{dust} \int{\kappa_\nu B_\nu(T_d) d\nu} . \end{equation*}

Then, we can define L_\nu= (L f_\nu) / ( \int f_\nu' d\nu '), and then

(17)   \begin{equation*} {L f_\nu \over \int f_\nu' d\nu '}= B_\nu \kappa_\nu M_d. \end{equation*}

This equation (actually this equation contains the K-correction as the L_\nu is defined in the way above) is the Eq. (2) in Andrew B. Blain et al., 2002 (2).
Additionally, we can use Eq. (9) to reform the monochromatic flux:

(18)   \begin{equation*} S_\nu = I_\nu \Omega_s=B_\nu {({\nu \over \nu_0})^\beta} {N \sigma \over D^2} = N {({\nu \over \nu_0})^\beta} {\sigma \over D^2} B_\nu . \end{equation*}

We can also derive the relation between opacity and mass-absorption coefficient, which in fact can be rewritten from Eq.(8) as: \kappa_\nu=\kappa_0{(\nu / \nu_0)}^\beta, as below

(19)   \begin{equation*} \tau_\nu=\kappa \rho s = Q_\nu \Rightarrow \kappa_\nu=\tau_\nu / (\rho s)= {Q_\nu \sigma \over \rho V} = {3 \over 4} {Q_\nu \over a \rho} . \end{equation*}

This Eq.(19) is often used in observation. Using Eq.(11) we can express dust mass with the quantities above as

(20)   \begin{equation*} M_d={S_\nu D^2 \over B_\nu \kappa_\nu}={4 a \rho D^2 S_\nu \over 3 Q_\nu B_\nu} \end{equation*}

This formula is often used to calculate the dust mass from FIR/submm radiation.

References

[1] L. Dunne and S. Eales, 2001, MNRAS, 327, 697,
[2] Blain, A. W., Smail, I., Ivison, R. J., Kneib, J.P., Frayer, D. T. 2002, Phys. Rep., 369, 111.
[3] Beelen, A., Cox, P., Benford, D. J., et al. 2006, ApJ, 642, 694.

关于冷尘埃SED程序的一些笔记

(这里有一些理论公式推导:http://eagle.lamost.org/?p=37798 ,比此文更加详细,可以参看)

前一阵被X.L. Fan师兄问到关于尘埃能谱 (Dust SED) 做图的问题。然后仔细检查了一遍自己本科论文时候编写的数据,发现有错误,于是花了些时间重新编写了一下。虽然拟合尘埃在亚毫米波段的灰体谱是一件很简单的事情,但在我看来,其中涉及到的单位的问题比较典型。我们平常在做SED的时候,常常会搞混 Flux Density,Intensity,Flux 等概念,他们的单位等等。并且平常老师在课程中讲到各种SED的时候,也没有仔细的讲讲观测中这些东西要注意的地方。这点比较遗憾。

我把程序贴出来跟大家共享一下(点击下载压缩包)。如果你也是在做冷尘埃灰体谱(following the gray-body function or the modified Planck distribution function)辐射的,可以试试这个程序。程序是用 Matlab 写的,一共包含一个主程序 dustsed.m 和两个调用的函数: errorbare.m 和 fitblackbody.m, 其中 errorbare 是由Gerry提供的 ( 详见:Gerry-云居 )。拟合的公式是:

(1)   \begin{equation*} F_{\nu}=\Omega_s Q_{em}B(\nu,T), Q_{em} \propto (\lambda_0 /\lambda)^\beta \end{equation*}

下面测试一下,输入的波长单位是 micron,我取了60, 100, 122, 158, 170, 450, 850 micron 这几个波段的数据,其流量按照Jy的单位分别是65.52, 114.74, 92.0, 91.5, 75.60, 8.832, 1.393 Jy,然后输入测量的误差,调用函数。拟合出单一成份模型中的谱指数、\beta和温度T以及\Omega_{em}(实际上,我在拟合的过程中用的这个参量包含了尘埃的投影面积和距离的信息,但是把含有β的那个因子独立出去了,单独作为一个参量拟合,所以程序里面的 emissivity 不是严格的)。图如下:

给出的结果是T_d=35.581167 K\beta=1.160865 ,给出的相对误差为0.208285。可以看出,这个Beta明显偏小了。所以应该尝试用更多的温度来拟合,如果用两个温度成份拟合的话会得到更好的结果T_{d}(C)=15.624843 KT_{d}(W)=32.219577 K, 相对误差为0.205005,这里基于 Dunne L. et al., 2001 MNRAS 的工作,取 \beta=2(有点跑题了……)。

目前 Matlab程序里面拟合使用的函数是 fminsearch ,因为 Q_{em} 很小的缘故,必须用相对误差才能有效的找到比较好的拟合参数(Q_{em}通常在1E-10以下)。下一步要尝试其他的拟合办法,然后在程序中加入 Chi-square 检验的部分。