counts-in-cells with the dark energy survey by ana isabel salvador junco

145 Pages·2017·12.54 MB·English

C - -C
OUNTS IN ELLS
WITH THE
D E S
ARK NERGY URVEY
BY
A I S J
NA SABEL ALVADOR UNCO
PHD THESIS IN THEORETICAL PHYSICS
July 12, 2017
SUPERVISED BY
J G -B C
UAN ARCÍA ELLIDO APDEVILA
U A M
NIVERSIDAD UTÓNOMA DE ADRID
&
I F T (UAM-CSIC)
NSTITUTO DE ÍSICA EÓRICA

Amimadre

Contents
Authorship .................................................. vii
Agradecimientos ............................................ ix
Resumen .................................................... xi
Summary .................................................... xiii
1 Standard Cosmological Model ΛCDM .................... 1
1.1 Theoretical framework of the Standard Model 2
1.1.1 General Relativity (GR) .......................................... 2
1.1.2 The Big Bang Theory ............................................. 4
1.1.3 Inflation ........................................................ 5
1.2 Observational basis of the Standard Model 8
1.2.1 Relative abundance of light elements ............................. 9
1.2.2 Supernovae Type Ia (SN) ......................................... 9
1.2.3 The Cosmic Microwave Background (CMB) ........................ 10
1.2.4 Baryon Acoustic Oscillations (BAO) ............................... 12
1.2.5 Weak Lensing (WL) ............................................. 12
1.2.6 Clusters of Galaxies (CL) ........................................ 13
1.2.7 Redshift Space Distortions (RSD) .................................. 13
1.2.8 Dark Matter ................................................... 15
1.3 Galaxy Surveys 17
1.4 Current status and future Observations 18
2 Large-Scale Structure of the Universe (LSS) .............. 23
2.1 Linear Perturbation Theory (LPT) 23
2.2 Power Spectrum P(k) 25
iv
2.3 Two-Point Correlation Function (2PCF) 26
2.4 Redshift Space Distortions (RSD) 28
2.5 Higher Order Correlation Functions 29
2.6 Non-linearities 29
2.7 Counts-in-Cells (CiC) 30
2.7.1 CiC Moments .................................................. 30
2.7.2 First order moments ............................................ 33
2.7.3 Angular CiC ................................................... 35
2.7.4 Previous CiC measurements ..................................... 36
2.7.5 Lognormal .................................................... 37
2.8 Bias 37
2.8.1 Linear Bias .................................................... 38
2.8.2 Non-Linear Bias ................................................ 39
2.8.3 Previous bias measurements ..................................... 40
3 The Dark Energy Survey (DES) ............................. 41
3.1 Science 41
3.2 Observations 42
3.3 DECam 46
3.4 Survey Strategy 48
3.5 Data Management (DESDM) 50
3.6 More than Dark Energy 50
3.7 Photometric Redshifts 51
3.8 The DES SV Benchmark Data Sample 52
3.9 Simulations 52
4 Counts-in-Cells Results (CiC) .............................. 55
4.1 Bias computation from CiC 56
4.2 Results for MICE simulation 60
4.2.1 Thin redshift bins ............................................... 65
4.2.2 Broad Redshift bins, mask and photo-z ............................ 74
4.2.3 Conclusions from MICE simulation ................................ 83
4.3 Results for DES-SV data 83
4.3.1 Linear bias .................................................... 84
4.3.2 Non-linear bias ................................................ 84
4.3.3 Systematics ................................................... 86
4.3.4 Lognormal .................................................... 93
5 Conclusions ................................................. 97
6 Conclusión .................................................. 99
v
A Appendix .................................................. 101
Bibliography ............................................... 117

Authorship
Thisthesiscontainsresultsbasedonoriginalworkdonebymyselfincollaborationwith
otherresearchersduringmyPh.D.fromSeptember2014toJune2017. Thisthesisisdone
withdataandsimulationsfromthe’DarkEnergySurvey’.
Thesummaryandtheconclusionsarewritteninspanishandenglish. Thechapters1
and 2 are review chapters about cosmology and large scale structure, based on the liter-
ature I have read during my Ph.D.. No new result is presented in these chapters, and no
originality is claimed. The chapter 3 is a description of the ’Dark Energy Survey’. And
thechapter4presentstheresultsofthemethoddevelopedduringmyPh.D.toobtainthe
linearandnon-linearbiasfrom’Counts-in-Cells’. FirstwepresenttheresultsonMICE
simulationandthenontheScienceVerificationdatafromDES.Theseresultsarebasedon
anunpublishedpaper:
• A.I.Salvador,F.J.Sánchez,A.Pagul,J.García-Bellido,E.Sánchez,A.Pujol,J.A.
Frieman;’Counts-in-CellsintheGalaxyDistributionfromtheDarkEnergySurvey
ScienceVerificationData’;(inprep.)
During myPh.D. I have alsobeen working on BAO,the homogeneity scaleand pho-
tometric redshifts with genetic algorithms, which led to the published and unpublished
papers:
• D. Alonso, A.I. Salvador, F.J. Sánchez, M. Bilicki, J.García-Bellido, E. Sánchez;
’Homogeneityandisotropyinthe2MASSPhotometricRedshiftcatalogue’;MNRAS.
• A.I.Salvador; M.Manera;’AGeneticAlgorithmforPhotometricRedshift Estima-
tionforDESandPAU’;(inprep.)