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作者(中文):吳易翰
作者(外文):Wu, Yi-Han
論文名稱(中文):探究暗能量演化的新追蹤法 CO(J = 1 - 0) 與 [CII](2P3/2 - 2 P1/2) 放射譜線光度與其放射譜線寬度的相關性研究及在宇宙學中之應用
論文名稱(外文):New Tracers for Probing the Evolution of Dark Energy CO(J = 1 - 0) and [CII](2P3/2 - 2 P1/2) Luminosity-FWHM Correlations and their Applications in Cosmology
指導教授(中文):後藤友嗣
指導教授(外文):Goto, Tomotsugu
口試委員(中文):梅津敬一
平下博之
嚴健彰
張祥光
學位類別:博士
校院名稱:國立清華大學
系所名稱:天文研究所
學號:101022808
出版年(民國):108
畢業學年度:107
語文別:英文
論文頁數:56
中文關鍵詞:暗能量狀態方程式宇宙學參數星系宇宙學距離
外文關鍵詞:darkenergyequationofstatecosmologicalparametersgalaxiescosmologicaldistance
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暗能量是個謎,尤其暗能量是否會隨時間而變我們很難知曉。近期有研究提出,在次毫米波段所觀測到的高紅移 (high redshift, z > 1) 星系,透過偵測其一氧化碳(CO)放射譜線,其星系光度(luminosity)與譜線寬度(FWHM)存有ㄧ相關性。這種相關性有其潛在的重要性因為這樣的特性可作為一種方法來瞭解暗能量的時變性。然而,過去對於高紅移星系所觀測到的一氧化碳光度與譜線寬度的相關性(此後記做一氧化碳光度-譜線寬度相關性)時排除此相關性是否對於紅移(redshift)有變化。主要的問題是對於一氧化碳光度-譜線相關性的過去研究中,對同一星系且同樣是一氧化碳分子觀測,不同能階躍遷時的觀測資料也一併被引用。而所引用的觀測資料也存在較大的不確定性。為了降低觀測資料的不確定性,對於透過偵測星系一氧化碳的放射譜線,我們在本次的研究中只考慮單一的能階躍遷(分子旋轉量子數由第一激發態至基本能態,J=1 - 0)以移除來自使用不同能階躍遷的數據所產生的不確定性。也因為一氧化碳J=1 - 0的觀測數據頗多,我們在數據篩選時可以得到較多的同質性數據資料。除了一氧化碳,我們也彙集多個星系的碳離子放射譜線資料並研究是否和一氧化碳一樣也有類似的光度-譜線寬度相關性。由於碳離子的放射譜線強度一般比一氧化碳來得強,或許對於碳離子的相關研究可以幫助我們觸及到宇宙中更為遙遠也更高紅移的區域。對於一氧化碳的觀測資料篩選之後,我們將所得數據分為低紅移(z < 1)與高紅移(z > 1)兩組數據以探究這各自兩組數據中的光度-譜線寬度相關性是否會因紅移而有變化。一氧化碳的數據如此,碳離子數據也如此分類。而高紅移數據中,只要數據所屬星系有重力透鏡效應出現,其星系光度也會給予修正。不論一氧化碳或碳離子的放射譜線數據,其各自兩組資料(低紅移與高紅移)都以線性迴歸分析法找尋星系光度與譜線寬度的相關性。我們的研究發現其兩者物理量存有高度相關性,不論是高紅移或低紅移數據。更重要的是,兩組紅移數據的線性模型函數在統計上是一致的。也就是說,我們可以認定光度-譜線寬度線性關係是跟紅移無關,也幫助我們有能力估計遙遠星系的距離。有此甚者,我們也透過這樣的線性關係式去估計不同宇宙學模型中不同參數的值域。同時我們也討論未來對於此議題有何重要延伸研究。
Nature of dark energy remains unknown. Especially we do not know if it varies over time.
A correlation between CO luminosity (Lco) and full-width at half maximum(FWHM)
for high-redshift (z > 1) sub-millimeter galaxies has been proposed. This correlation is
potentially important because it may be used to constrain time variability of dark energy.
However, previous claims have been inadequate in ruling out possible redshift evolution
of the relation. Major problems include the use of heterogeneous samples (e.g., different
transition lines) and data with large observational uncertainties. In order to reduce the
uncertainty caused by using different rotational transitions, in this work, we only use
CO(J = 1 − 0) data, removing the large uncertainly in conversion between different
CO transitions. Such a homogeneous sample selection was possible because we have
much larger data than previous work thorough intensive archival search. In addition to
CO, as a new attempt, we investigated the [CII] luminosity-FWHM correlation. [CII]
emission line is in general brighter than CO lines. Therefore, the [CII] luminosity-FWHM
correlation may open a new possibility to reach even higher redshifts. To investigate
potential redshift evolution, for both CO and [CII] data, we separate the sample into the
low-z (z < 1) and high-z (z > 1) samples. We corrected for magnification factors as much
as possible. The linear regression results show that there exist a robust and significant
Lco-FWHM correlation in both low-z and high-z samples. Similarly, for the regressions
with [CII] data, significant L[CII]-FWHM correlations exist in the low-z and high-z
samples. Importantly, for both CO and [CII], no significant sign of redshift evolution
was detected between the two (low-z and high-z) samples. Therefore, the luminosity-
FWHM relation can be regarded as redshift-independent, opening a possibility to use
this relation to estimate distances toward higher redshifts. Motivated by the results, we
use the relation to constrain cosmological models. Data used are our high-z data (CO
and [CII]) and Type Ia Supernova data in the Union 2.1. The obtained constraints are
w0 = −1.01 ± 0.15 and wa = 2.46 ± 0.20. We discuss possible future prospects in using
the relation to further constrain cosmological parameters with expected data in the near
future.
Abstract i
List of Figures iv
List of Tables vi
Abbreviations viii
Physical Constants ix
Symbols x

1 Introduction 1

2 Data 5
2.1 CO Emission Line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.1.1 Low-z Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.1.2 High-z Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 [CII]158μm Emission Line . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.2.1 Low-z Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.2.2 High-z Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

3 Methods and Analysis 18
3.1 Line Luminosity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
3.1.1 Correction For Gravitationally Lensing . . . . . . . . . . . . . . . . 19
3.2 FWHM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.2.1 Correction For Inclination . . . . . . . . . . . . . . . . . . . . . . . 19
3.3 Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

4 Result 22
4.1 CO(1-0) Sample Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
4.1.1 The Significance of A Linear Relation . . . . . . . . . . . . . . . . 22
4.1.2 The Comparison Between The Correlations in Low-z and High-z
Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
4.2 [CII] Sample Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4.2.1 The Significance of A Linear Relation . . . . . . . . . . . . . . . . 24
4.2.2 The Comparison of Correlations in Low-z and High-z Samples . . 24
4.3 Discussions For the Statistical Results . . . . . . . . . . . . . . . . . . . . 26

5 Application 30
5.1 To Extend The Hubble Diagram . . . . . . . . . . . . . . . . . . . . . . . 35
5.2 Cosmological Constraint . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

6 Discussions and Conclusions 40

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