.. .. Testbeam, 1.2 Super Proton Synchrotron (SpS), p.142

T. .. Setup, 143 7.2.1 The EUDET telescopes for particle tracking

C. .. , 1.2 Super Proton Synchrotron (SpS), p.142

T. .. Setup, 143 7.2.1 The EUDET telescopes for particle tracking

, 190 10.2 Data and simulated event samples

. .. Object, 3.4 Additional selections for dijet-mass analysis

. .. Results, 218 10.6.1 Results of the Multivariate analysis

. .. Results-of-combinations, 225 10.7.2 Observation of H? bb decays: combination of all production modes

, Most probable energy loss in silicon ?p per unit thickness (x) , scaled to the mean loss of a minimum ionizing particle

, Monte Carlo simulation of the interaction of a PKA with an initial energy of 50 keV in silicon. The PKA initially travels in the vertical direction upwards, starting from the origin

, Schematic representation of some point defects in a square lattice, p.68

, The calculated damage functions for protons, neutrons, pions, and electrons over a wide range of energies. The normalization of the ordinate to 95 MeV mb represents the damage equivalent to 1 MeV neutrons [67]

, N ef f , (right) as a function of the uence for a 300 µm silicon detector [68], Relationship between the depletion voltage, U dep , (left) and eective doping

, Measured change of the eective doping concentration as a function of the time during controlled annealing at 60°C with tted contributions of short term benecial annealing, long term reverse annealing, and stable damage [65]

, This detector is composed of a sensor and a readout chip interconnected via a bump ball in between the under bump metallizations on chip and sensor side

, The guard rings are located on the backside. (b) n + -in-p sensor design with a p-type bulk and n + implants, (a) n + -in-n sensor design with an n-type bulk and n + implants, vol.73

, From left to right: no Guard Ring -no Bias Rail design, no Bias Rail -one Guard Ring design, no Guard Ring -one Bias Rail design and one Guard Ring -one Bias Rail design

, 94 5.16 Probe station at LAL-clean-room used for the IV-and CV-measurements. The probe is attached to an optical microscope and a conductive copper chuck. The needle probe and high precision mechanical base is also visible at the left side of the picture, p.94

, Semilogarithmic scale is used, IV-measurement for dierent design variations for all the structures with 50 µm thickness and NiAu UBM (a), Pt UBM (b)

, IV-measurement for the two UBM variations for all the structures with 50 µm thickness and NoGR-NoBR design. Semi-logarithmic scale is used

, Semi-logarithmic scale is used, IV-measurement for dierent design variations for all structures with 100 µm thickness and NiAu UBM (a)

, Semi-logarithmic scale is used, IV-measurement for dierent design variations for all structures with 150 µm thickness and NiAu UBM (a)

, Semilogarithmic scale is used, IV-measurement for dierent thickness variations for all structures with NoGR-NoBR design and NiAu UBM

, Average breakdown voltage for dierent wafer thickness, comparing NiAu UBM and

U. .. Pt, Average breakdown voltage for dierent design

, Average depletion voltage for dierent wafer thickness, comparing NiAu UBM and

, Abrupt changes are observed in layer interface regions which are marked with dierent shading colors. Oxygen and silicon curves are scaled to a factor of 10 ?2 and 10 ?5 respectively for representation purposes

, Schematic of the SIMS sputter-then-image method to create separate two-dimensional images. A series of these 2D images can be reconstructed to create a 3D representation of the sample, p.110

. .. , Meshing of a disc surface using triangular sub-elements, vol.114

, The CAMECA IMF 7F System where SIMS measurements were performed at GEMAC laboratory at the university Saint-Quentin-enYvelines at Versailles [102]

, Doping prole map (left) and comparison of 1D doping prole from simulation (blue curve) and SIMS measurement (red curve) for Phosphorus implant in the pixel region (right)

, Doping prole map (left) and comparison of 1D doping prole from simulation (blue curve) and SIMS measurement (red curve) for Phosphorus implant in the Edge region (right)

, Doping prole map (left) and comparison of 1D doping prole from simulation (blue curve) and SIMS measurement (red curve) for Boron implant for p-spray (right)

, Doping prole map (left) and comparison of 1D doping prole from simulation (blue curve) and SIMS measurement (red curve) for Boron implant in active edge region (right)

. .. , 119 LIST OF FIGURES 6.11 Simulated Leakage current as a function of Bias Voltage for dierent doses. As the irradiation dose increases the breakdown voltage increases up to 225 V for 2x10 16 n eq /cm 2, Overall view of the simulated n + -in-p active edge pixel structure showing dopant concentration prole

, Leakage current as a function of Bias Voltage, with a comparison of simulation to data, after irradiation. The sensor is 150 µm thick and has a GR and BR at the edge. The breakdown of irradiated sensor increases up to 225 V for a uence of 2x10 16 n eq /cm 2, p.121

, Leakage current as a function of Bias Voltage, with a comparison of simulation to data, before irradiation. The sensor is 150 µm thick and has a GR and BR at the edge. The breakdown of non-irradiated sensor is about 150 V

, The majority charge carriers contribute to the electric current in ntype and p-type semiconductor

, A transmission line method (TLM) test structure. The Blue regions is the doped silicon region. Dark gray region is the array of aluminium contacts which formed with various spacings over the doped region, p.125

, Top view of a two-terminal contact semiconductor structure, p.125

, Mask used in the mask-based lithography with direct laser writing used produce the TLM test structure used in this study, p.127

, An example of the layout design of one of the contact series in the TLM test structure used in this study, taken from the GDS design le, p.128

, 19 A brief process ow to fabricate the TLM test structure, p.129

, Schematic cross section of TLM sample illustrating the etching process for n-times of doped layers (blue region) until reaching the silicon substrate (beige region)

, 130 6.22 Resistance versus contact separation obtained from TLM measurement. Both the sheet resistance as well as the contact resistance can be determined using this technique, The TLM measurement allows assessing the magnitude of the resistance by applying a voltage across the contacts and measuring the resulting current

, Repetitively, a small layer of implant is etched, using Reactive Ion Etching (RIE), and the resistance at dierent depths is measured until reaching the substrate, depth measurement used in this study

, 24 (a) The two-point probe station used to measure the resistance using the TLM method. (b) Microscope view of needles placed on two adjacent contacts to perform the IV measurement, vol.6, p.133

, Advanced Vacuum-Vision 320" RIE machine used in this study to etch the TLM samples

, Cross section of the RIE chamber where the TLM samples were etched

, Three consecutive prolometer measurement of an irradiated sample obtained after the rst, second and third etching was performed. A layer of thickness 200 nm is etched in each step, p.135

, Measured Current as function of bias Voltage of a non irradiated Boron doped sample at dierent spacing between contacts, p.135

, Measured resistance as a function of contact spacing distance for non irradiated sample (a) as well as irradiated sample (b) at four dierent etching steps. The semi-logarithmic scale is used here, p.136

, 137 6.31 TLM measurement (green curve) compared to SIMS measurement (red curve) of the active carrier concentration as a function of depth for non irradiated sample, TLM measurement of the active carrier concentration as a function of depth for non irradiated sample

, TLM measurement (green curve) of the active carrier concentration as a function of depth for non irradiated sample compared to simulated doping prole corresponding to three implantation energies: 240 keV, 130 keV and 60 keV. The sample provided by the manufacturer was implanted with a 60 keV

, Photograph of the DESY beam hall. The beam direction is from right to left, A diagram illustrating the process of producing an electron or positron beam for tests at DESY [115]

]. .. , 144 7.4 The cooling box, manufactured by MPP (a) which is situated at CERN, while the Dortmund cooling box (b) is used at CERN and DESY [122]

. .. The, 147 7.6 Example of EUDET Online Monitoring plots for a non-irradiated Active edge pixel detector. The colorbar in this plot indicate number of hits. As seen here

. Example and . Online, This indicates a negative correlation between the two modules. Hence, the fact that the two DUTs are not aligned. This is explained by the fact the two DUTs where mounted back-to-back

, An example of the output from the clusters vs run analysis class written for TBMon, showing the total matched cluster size for a sensor as a function of time (per run). (a) is an example of a good set of runs while (b) is an example of a set of runs with lower statistics and poorer alignment

, the slim edge design with d e = 100 µm, one grounded BR and the common p-t structure (top right), the slim edge design with one BR and GR and the single p-t design (bottom left) and the slim edge design with only one BR and the single p-t structure (bottom right), Four dierent sensor types of the Advacam SOI production: the active edge design with d e = 50 µm, one GR and no p-t structure (top left)

, Active edge design of 150 µm thickness with GR edge structure. (b) Slim Edge design of 100 µm thickness with BR and punch-through edge design

, Beam and machine parameters for collisions in 2012, 2016.

, Parameters for the multiplication rate, high electric elds as listed in [56]

, 2 Parameters for the drift velocity relation in silicon, p.59

, Denition and units/values of the variables used in Bethe-Bloch formula

, **) Note that for the RD53A chip, the chip grid is 50×50 µm 2 but the compatible sensors are either 25×100 µm 2 or 50 × 50 µm 2, RD53A chip specication, that will be used in Phase-II upgrade for the ITk, in comparison with the previous readout: the FE-I3 and the FE-I4, vol.86

, 2 Summary of the geometrical characteristics of the four active edge sensor designs

, Average breakdown voltage for dierent design and thickness variations for all structures with Pt UBM

, Average breakdown voltage for dierent designs and thickness variations for all structures with NiAu UBM

, Typical RSF values calculated in silicon sensors measurements, p.106

, 2 The radiation damage model for P-type (up to 7 × 10 15 n eq /cm 2 ), p.120

, The radiation damage model for P-type (in the range 7×10 15 n/cm 2 ? 2.2 × 10 16 n eq /cm 2 )

, Main characterization of the dierent wafers fabricated for this study, vol.128

, Summary of the single chip modules from Advacam productions relevant for this thesis

J. P. Blewett, GeV Intersecting Storage Accelerators". eConf C, 1971.

A. The and . Collaboration, Luminosity public results, vol.277, 2018.

J. Wenninger, Approaching nominal performance at LHC, Proceedings of IPAC2017, 2017.

L. Evans and P. Bryant, LHC Machine, JINST, vol.3, issue.08, p.11, 2008.

A. The and . Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, JINST, vol.3, issue.08, p.11, 2008.

A. The and . Collaboration, ATLAS public results, vol.277, 2018.

A. The and . Collaboration, Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC, Phys. Lett. B, vol.716, issue.30, p.13, 2012.

C. The and . Collaboration, Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC, Phys. Lett. B, vol.716, issue.30, p.13, 2012.

A. The and . Collaboration, Measurements of Higgs boson production and couplings in diboson nal states with the ATLAS detector at the LHC, Phys. Lett. B, vol.726, issue.88, p.13, 2013.

R. J. Dankers, , p.14, 1998.

A. The and . Collaboration, ATLAS liquid argon calorimeter: Technical design report, p.19

A. The and . Collaboration, ATLAS tile calorimeter: Technical design report, vol.20

A. The and . Collaboration, atlas muon spectrometer: Technical design report, p.21

A. The and . Collaboration, Improved luminosity determination in pp collisions at ? s = 7 TeV using the ATLAS detector at the LHC", Eur. Phys. J., C, vol.73, p.22, 2013.

A. The and . Collaboration, Performance of the ATLAS Inner Detector Track and Vertex Reconstruction in the High Pile-Up LHC Environment, p.26, 2012.

A. The and . Collaboration, Performance of the ATLAS Track Reconstruction Algorithms in Dense Environments in LHC run 2, 2017.

A. The and . Collaboration, Vertex Reconstruction Performance of the AT-LAS Detector at ? s=13 TeV, p.27, 2015.

V. Lacuesta, Track and vertex reconstruction in the atlas experiment

, JINST, vol.8, issue.02, p.27, 2013.

A. The and . Collaboration, Public Results -Approved Plots of the Tracking Combined Performance Group, vol.278, 2016.

A. The and . Collaboration, Charged-particle distributions in ? s=13 TeV pp interactions measured with the ATLAS detector at the LHC, vol.278, 2015.

A. The and . Collaboration, Electron and photon energy calibration with the ATLAS detector using LHC Run 1 data, Eur. Phys. J. C, vol.74, issue.3071, p.31, 2014.

A. The and . Collaboration, Measurement of the muon reconstruction performance of the ATLAS detector using 2011 and 2012 LHC proton-proton collision data, Eur. Phys. J. C, vol.74, issue.3130, 2014.

A. The and . Collaboration, Calorimeter Clustering algorithms: Description and Performance, 2008.

A. The and . Collaboration, Local Hadronic Calibration

. Atl-larg, , vol.32, 2008.

A. The and . Collaboration, Pile-up subtraction and suppression for jets in ATLAS, vol.33, 2013.

A. The and . Collaboration, Tagging and suppression of pileup jets, vol.33, 2014.

A. The and . Collaboration, Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at ? s = 13 TeV with the AT-LAS detector, p.33, 2016.

A. The and . Collaboration, Performance of b-Jet Identication in the AT-LAS Experiment, vol.33, 2015.

A. The and . Collaboration, Optimisation and performance studies of the ATLAS b-tagging algorithms for the 2017-18 LHC run, p.33, 2017.

A. The and . Collaboration, Commissioning of the ATLAS high-performance b-tagging algorithms in the 7 TeV collision data, vol.33, 2011.

A. The and . Collaboration, Calibration of the performance of b-tagging for c and light-avour jets in the 2012 ATLAS data, vol.34, p.33, 2014.

A. The and . Collaboration, b-tagging in dense environments, vol.278, 2014.

A. The and . Collaboration, Calibration of b-tagging using dileptonic top pair events in a combinatorial likelihood approach with the ATLAS experiment, vol.34, 2014.

A. The and . Collaboration, avor tagging with track jets in boosted topologies with the atlas detector , tech. rep, vol.35, 2014.

G. Apollinari, High-Luminosity Large Hadron Collider (HL-LHC), p.303, 2015.

G. Apollinari, High-Luminosity Large Hadron Collider (HL-LHC), vol.278, 2015.

A. Bassalat, Contribution to the construction of the Insertable B-Layer of ATLAS for high luminosity upgrade and Research for invisible Higgs, 2015.

A. The and . Collaboration, ATLAS Insertable B-Layer Technical Design Report, vol.46, 2010.

, Impact Parameter Resolution, vol.46, 2015.

A. Fasso, FLUKA: A multi-particle transport code (Program version 2005), Tech. Rep, CERN-2005-010, vol.279, 2005.

A. The and . Collaboration, Technical Design Report for the ATLAS Inner Tracker Strip Detector, vol.85, p.49, 2017.

R. Dyck, Integrated arrays of silicon photodetectors for image sensing

, IEEE Trans. Electron Devices, ED, vol.15, issue.4, p.51, 1968.

P. J. Noble, Self-Scanned Silicon Image Detector Arrays, IEEE Trans. Electron Devices, p.51, 1968.

G. Hallewel, Pixel Detector Technical Design Report, p.51, 1998.

C. Kittel, Introduction to Solid State Physics, vol.52, 2005.

L. Ma, Holes in Hall Eect, Lat. Am. J. Phys. Educ, vol.3, issue.1, p.53, 2009.

P. Kuiper and . Wikimedia,

, Pn-junction-equilibrium-graphs.png#file, vol.279, 2007.

H. Moser, Silicon Detector Szstems in high energy physics, Nucl. Instrum. Methods Phys. Res., Sect. A, vol.63, pp.186-237, 2009.

R. Van-overstraeten, Measurement of the ionization rates in diused silicon p-n junctions, Solid-State Electron, vol.13, p.304, 1970.

S. Ramo, Currents Induced by Electron Motion, Proceedings of the I.R.E, volume, vol.27, pp.584-585, 1939.

C. Jacoboni, A review of some charge transport properties of silicon, Solid-State Electron, vol.20, issue.2, p.59, 1977.

S. Striganov, D. E. Groom, and N. V. Mokhov, Muon Stopping Power and

, Atomic Data and Nuclear Data Tables, vol.76, pp.61-279, 2001.

D. E. Groom and S. R. Klein, Passage of particles through matter, The European Physical Journal, vol.15, p.61, 1999.

C. Grupen and B. Swartz, Particle Detectors, vol.60, 2008.

K. A. Olive, Review of particle physics, Chin. Phys., C, vol.38, p.90001, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01867148

A. H. Compton, A Quantum Theory of the Scattering of X-rays by Light Elements, Phys. Rev, vol.21, issue.483, 1923.

G. F. Knoll, Radiation Detection and Measurement, p.65, 2010.

J. Wustenfeld, Characterization of Ionization-Induced Surface Eects for the Optimization of Silicon-Detectors for Particle Physics Applications, p.66, 2001.

K. L. Brower, Kinetics of H2 passivation of Pb centers at the Si-SiO2 interface, Phys. Rev. B, vol.38, p.66, 1988.

R. H. Richter, Strip detector design for ATLAS and HERA-B using twodimensional device simulation, Nucl. Instrum. Methods Phys. Res., Sect. A, vol.377, p.66, 1996.

V. Van-lint, Mechanisms of Radiation Eects in Electronic Materials

J. R. Srour, Review of Displacement Damage Eects in Silicon Devices, IEEE Trans. Nucl. Sci, vol.50, p.67, 2003.

M. Moll, Radiation damage in silicon particle detectors: Microscopic defects and macroscopic properties, vol.72, 1999.

J. Frenkel, On Pre-Breakdown Phenomena in Insulators and Electronic SemiConductors, Phys. Rev, vol.54, p.69, 1938.

E. Fretwurst, Radiation Damage in Silicon Detectors Caused by Hadronic and Electromagnetic Irradiation, vol.280, 2002.

R. Wunstorf, Systematische Untersuchungen zur Strahlenresistenz von Silizium-Detektoren fur die Verwendung in Hochenergiephysik-Experimenten, vol.280, 1992.

J. Lange, Radiation Damage in Proton -Irradiated Epitaxial Silicon Detectors, p.72, 2008.

F. Hartmann, Evolution of silicon sensor technology in particle physics, p.76, 2009.

L. Rossi, Pixel detectors: From fundamentals to applications, vol.280, 2006.

J. Kemmer, Improvement of detector fabrication by the planar process, Nucl. Instr. Meth. A, vol.226, issue.1, p.77, 1984.

P. , Investigation of Properties of Novel Silicon Pixel Assemblies Employinh Thin n-in-p Sensors and 3D-Integration, vol.280, 2013.

S. Terzo, Development of radiation hard pixel modules employing planar n-inp planar silicon sensors with active edges for the ATLAS detector at HL-LHC, 2015.

A. The and . Collaboration, The ATLAS Insertable B-Layer Technical Design Report, vol.80, 2010.

A. The and . Collaboration, Technical Design Report for the ATLAS Inner Tracker Pixel Detector, vol.281, 2018.

M. Karagounis, Development of the ATLAS FE-I4 pixel readout IC for blayer Upgrade and Super-LHC, vol.81, 2008.

M. Beimforde, Development of thin sensors and a novel interconnection technology for the upgrade of the atlas pixel system, vol.281, 2010.

, prototype atlas ibl modules using the fe-i4a frontend readout chip, JINST, vol.7, p.281, 2012.

, Prototype ATLAS IBL modules using the FE-I4A front-end readout chip, JINST, vol.7, issue.11, p.281, 2012.

A. Micelli, 3D sensors for the Insertable B-Layer of the ATLAS experiment at the CERN LHC, p.84, 2012.

G. Pellegrini, First double-sided 3-D detectors fabricated at CNM-IMB", Nucl. Instr. Meth. A, vol.592, issue.1, pp.38-43, 2008.

E. Vianello, Optimization of double-side 3D detector technology for rst productions at FBK, Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), vol.84, pp.523-528, 2011.

C. D. Via, 3D active edge silicon sensors: Device processing, yield and QA for the ATLAS-IBL production, Nucl. Instr. Meth. A, vol.699, pp.18-21, 2013.

M. Garcia-sciveres, RD53A Integrated Circuit Specications, vol.295, 2015.

J. Lange, 3D silicon pixel detectors for the High-Luminosity LHC, JINST, vol.11, p.11024, 2016.

J. Lange, Radiation hardness of small-pitch 3D pixel sensors up to HL-LHC uences, International conference on Technology and Instrumentation in Particle Physics'17 (TIPP2017), p.89, 2017.

. Bompard, Radiation-hard active pixel detectors for tracking of charged particles based on HV-CMOS technology, Proc. Int. Image Sensors Workshop, vol.281, p.273276, 2013.

. Advacam,

A. The and . Collaboration, ATLAS Phase-II, Upgrade Scoping Document, CERN, 2015.

G. Aaad, ATLAS pixel detector electronics and sensors, JINST, vol.3, p.7007, 2008.

T. Wittig, , 2013.

J. Kalliopuska, Recent advances in processing and characterization of edgeless detectors, IOP Science, vol.282, 2012.

A. Ducourthial, Upgrade of the ATLAS Experiment Inner Tracker and related physics perspectives of the Higgs boson decay into two b quarks, p.92, 2018.

G. Stingeder, Quantitative Distribution Analysis of Phosphorus with Sims in the Layer System SiO2/Si, MRS Spring Meeting, p.103, 1986.

J. W. Mcdonald, Surface charge compensation for a highly charged ion emission microscope, Ultramicroscopy, vol.101, p.103, 2004.

C. W. Magee, Secondary ion quadrupole mass spectrometer for depth proling design and performance evaluation, Rev. Scient. Instrum, vol.94, issue.4, p.104, 1978.

. Synopsys-inc, , p.111

. Silvaco-inc, , p.111

C. Science, M. Solutions, and . France, , vol.283

R. Singiresu, The Finite Element Method in Engineering

W. Shockley and W. Read, Statistics of the Recombinations of Holes and Electrons, Phys. Rev, vol.87, p.115, 1952.

D. Passeri, Comprehensive modeling of bulk-damage eects in silicon radiation detectors, IEEE Trans. Nucl. Sci, vol.48, issue.5, pp.1688-1693, 2001.

D. Passeri, Numerical simulation of radiation damage eects in p-type and n-type FZ silicon detectors, IEEE Trans. Nucl. Sci, vol.53, issue.5, p.29712976, 2006.

J. F. Ziegler, Ion Implantation -Science and Technology". Ion Implantation Technology Co, p.123, 1996.

Y. Nishi and R. Doering, Handbook of Semiconductor Manufacturing Technology, p.123, 2000.

D. K. Schroder, Semiconductor Material and Device Characterization, Wiley Interscience, vol.124, 2005.

H. Murrman and D. Widmann, Current crowding on metal contacts to planar devices, IEEE Transactions, vol.16, issue.12, pp.1022-1024, 1969.

W. Shockley, Research and investigation of inverse epitaxial UHF power transistors, vol.124, 1964.

D. K. Schroder, Semiconductor Material and Device Characterization, vol.125, 1990.

A. F. Gerodolle and J. Pelletier, Two-Dimensional Implications of a Purely Reactive Model for Plasma Etching, IEEE Trans.Electron Devices, vol.38, issue.9, p.131, 1991.

P. Avinash and . Nayak, Wet and Dry Etching, p.131

, Lubjana irradiation facility, p.136

D. Autiero, Characterization of the T24 electron beam line available at DESY". OPERA Note, p.142, 2004.
URL : https://hal.archives-ouvertes.fr/in2p3-00024026

S. Tsiskaridze, Beam Test Performance of 3D Pixel Detectors for the IBL Upgrade, vol.286, 2012.

J. Baudot, First Test Results Of MIMOSA-26, A Fast CMOS Sensor With Integrated Zero Suppression And Digitized Output, 2009 IEEE NSS Conference Record, vol.145, p.1169, 2009.

I. Rubinskiy, An EUDET/AIDA pixel beam telescope for detector development, Physics Procedia, vol.37, p.923931, 2012.

R. Turchetta, Spatial resolution of silicon microstrip detectors, Nucl. Instr. Meth. A, vol.335, p.145, 1993.
URL : https://hal.archives-ouvertes.fr/in2p3-00020847

J. Weingarten, Planar pixel sensors for the ATLAS upgrade: beam tests results, JINST, vol.7, issue.10, p.145, 2012.

G. Troska, Development and operation of a testbeam setup for qualication studies of ATLAS pixel sensors, vol.286, 2012.

E. Corrin, EUDAQ Software User Manual, p.309, 2010.

T. Bisanz, EUTelescope 1.0: Reconstruction Software for the AIDA Testbeam Telescope, p.148, 2015.

K. N. Sjobaek, Full simulation of a testbeam experiment including modeling of the Bonn ATLAS Telescope and ATLAS 3D pixel silicon sensors, p.148, 2010.

V. Blobel, Software alignment for tracking detectors, Nucl. Instr. Meth. A, vol.566, issue.1, 2006.

S. Fleischmann, Track Reconstruction in the ATLAS Experiment: The deterministic annealing lter, p.151

. Kalman, A new approach to linear ltering and prediction problems, Journal of basic Engineering, vol.82, issue.1, p.151, 1960.

C. Kleinwort, General Broken Lines as advanced track tting method, Nucl. Instr. Meth. A, vol.673, p.151, 2012.

, Advanced European Infrastructure for Detectors and Accelerators, p.154

. Itk-pixel-group, , p.154

N. Savic, Development of Pixel Detectors for the Inner Tracker Upgrade of the ATLAS Experiment, 2017.

J. Weingarten, Planar pixel sensors for the ATLAS upgrade: beam tests results, JINST, vol.7, issue.10, p.159, 2012.

T. Rashid, new 3d doping prole measurement and tcad simulation of radiation damage in advacam active edge pixel detector for high energy physics experiments, p.163, 2017.

S. Glashow, Partial Symmetries of Weak Interactions, Nucl.Phys, vol.22, p.167, 1961.

S. Weinberg, A Model of Leptons, Phys.Rev.Lett, vol.19, p.167, 1967.

A. Salam, Weak and Electromagnetic Interactions, Conf.Proc, vol.680519, p.310, 1968.

D. J. Gross and F. Wilczek, Ultraviolet Behavior of Nonabelian Gauge Theories, Phys.Rev.Lett, vol.30, p.167, 1973.

H. D. Politzer, Reliable Perturbative Results for Strong Interactions, Phys.Rev.Lett, vol.30, p.167, 1973.

D. Gross and F. Wilczek, Asymptotically Free Gauge Theories. 1, Phys.Rev, vol.8, p.167, 1973.

H. D. Politzer, Asymptotic Freedom: An Approach to Strong Interactions, Phys.Rept, vol.14, p.167, 1974.

M. Veltman and G. Hooft, Regularization and Renormalization of Gauge Fields, p.168, 1968.

A. The and . Collaboration, Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

, Phys. Lett, vol.716, p.168, 2012.

C. The and . Collaboration, Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC, Phys. Lett, vol.716, p.168, 2012.

M. E. Peskin and D. V. Schroeder, An Introduction to quantum eld theory, p.168, 1995.

E. Noether, Invariante Variations probleme, vol.716, p.168, 1918.

L. Matic, Standard Model, vol.287

, Review of Particle Physics (RPP)

, Phys.Rev, vol.86, p.10001, 2012.

C. Yang and R. L. Mills, Conservation of Isotopic Spin and Isotopic Gauge Invariance, Phys.Rev, vol.86, p.172, 1954.

J. Goldstone, Field theories with sup erconductor solutions, Phys.Rev, vol.19, p.172, 1961.

J. Goldstone, Broken symmetries, Phys.Rev, vol.127, p.172, 1962.

F. Englert and R. Brout, Broken Symmetry and the Mass of Gauge Vector Mesons, Phys. Rev. Lett, vol.13, p.321323, 1964.

R. Barbier, R-parity violating supersymmetry, Phys. Rept, vol.420, p.311, 2005.
URL : https://hal.archives-ouvertes.fr/in2p3-00022113

M. Aaboud, Measurement of the W-boson mass in pp collisions at ? s = 7 TeV with the ATLAS detector, p.174, 2017.
URL : https://hal.archives-ouvertes.fr/in2p3-01446632

C. Patrignani, Review of Particle Physics". Chin. Phys, vol.40, issue.10, p.174, 2016.

E. Scifo, Measurement of the Brout-Englert-Higgs boson couplings in its diphoton decay channel with the ATLAS detector at the LHC
URL : https://hal.archives-ouvertes.fr/tel-01064955

. Paris-sud, Orsay, vol.11, 2014.

A. The and . Collaboration, Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC, Phys. Lett. B, vol.716, issue.1, p.178, 2012.

C. The and . Collaboration, Observation of a new new boson at a mass of 125

, GeV with the CMS experiment at the LHC, Phys. Lett. B, vol.716, issue.30, p.178, 2012.

A. The and . Collaboration, Evidence for the Higgs-boson Yukawa coupling to tau leptons with the ATLAS detector, JHEP, vol.186, 2015.

C. The and . Collaboration, Evidence for the direct decay of the 125 GeV Higgs boson to fermions, Nature Phys, vol.10, p.557, 2014.

A. The and . Collaboration, Search for the Decay of the Higgs Boson to Charm Quarks with the ATLAS Experiment, Phys. Rev. Lett, vol.120, p.181, 2018.

A. The and . Collaboration, Search for the Dimuon Decay of the Higgs Boson in pp Collisions at ? s = 13 TeV with the ATLAS Detector, Phys. Rev. Lett, vol.119, p.181, 2017.

C. The and . Collaboration, Search for the Standard Model Higgs Boson Decaying to µ + µ ? in pp Collisions at ? s = 7 and 8 TeV with the CMS Detector, p.181, 2014.

A. The and . Collaboration, ATLAS Feature: The Higgs boson". ATLAS-PHOTO-2018-020, vol.288, 2018.

C. The and . Collaboration, Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV, Eur. Phys. J, vol.75, p.185, 2014.

A. The and . Collaboration, Measurement of the Higgs boson mass from the H to ?? and H? ZZ * ? 4l channels with the ATLAS detector using 25 f b ?1 of pp collision data, Phys. Rev, vol.90, p.185, 2014.

, Combined Measurement of the Higgs Boson Mass in pp Collisions at ? s = 7 and 8 TeV with the ATLAS and CMS Experiments, Phys. Rev. Lett, vol.114, p.185, 2015.

A. The and . Collaboration, Measurements of properties of the Higgs boson decaying into four leptons in pp collisions at ? s = 13 TeV, p.186, 2017.

A. The and . Collaboration, Evidence for the associated production of the Higgs boson and a top quark pair with the ATLAS detector, Phys. Rev, vol.97, p.186, 2018.

C. The and . Collaboration, Observation of ttH production, p.186, 2018.

A. The and . Collaboration, Observation of H? bb decays and VH production with the ATLAS detector, Phys. Lett. B, 2018.

C. The and . Collaboration, Observation of Higgs boson decay to bottom quarks with CMS, p.186, 2018.

A. The and . Collaboration, Combined measurements of Higgs boson production and decay using up to 80 f b ?1 of proton-proton collision data at ? s = 13 TeV collected with the ATLAS experiment, vol.288, 2018.

C. The and . Collaboration, Combined measurements of Higgs boson couplings in proton-proton collisions at ? s = 13 TeV, vol.288, 2018.

A. The and . Collaboration, Measurement of the Higgs boson mass in the H? ZZ * ? 4l and H? ?? channels with ? s=13 TeV pp collisions using the ATLAS detector, Phys. Lett. B, vol.784, p.345, 2018.

C. Atlas and . Collaborations, Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at ? s = 7 and 8 TeV, JHEP, vol.190, 2016.

A. The and . Collaboration, Observation of H? bb decays and VH production with the ATLAS detector, Phys. Lett. B, 2018.

. Cdf and . Collaborations, Evidence for a particle produced in association with weak bosons and decaying to a bottom-antibottom quark pair in Higgs boson searches at the Tevatron, Phys. Rev. Lett, vol.109, p.71804, 2012.

A. Hoecker, TMVA -Toolkit for Multivariate Data Analysis, p.192, 2007.

R. E. Freund and . Schapire, Experiments with a new boosting algorithm, ICML'96 Proceedings of the Thirteenth International Conference on International Conference on Machine Learning, p.192, 1996.

S. Agostinelli, GEANT4, Nucl. Instrum. Meth. A, vol.506, p.193, 2003.
URL : https://hal.archives-ouvertes.fr/in2p3-00020246

T. Sjostrand, A brief introduction to PYTHIA 8.1", Comput. Phys. Commun, vol.178, p.193, 2008.

A. The and . Collaboration, Summary of ATLAS Pythia 8 tunes, p.193, 2012.

A. Martin, Parton distributions for the LHC, Eur. Phys. J. C, vol.63, p.193, 2009.

S. Alioli, A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX, JHEP, p.193, 2010.

T. Gleisberg, Event generation with SHERPA 1.1". JHEP, 02:007, p.194, 2009.

A. The and . Collaboration, Electron eciency measurements with the AT-LAS detector using the 2015 LHC proton-proton collision data, p.314, 2016.

A. The and . Collaboration, Expected performance of the ATLAS b-tagging algorithms in Run-2". tech. rep, p.198, 2015.

A. The and . Collaboration, Object selections for SM Higgs boson produced in association with a vector boson in which H decay to bb and V decays leptonically with Run-2 data, 2018.

A. The and . Collaboration, Expected performance of missing transverse momentum reconstruction for the ATLAS detector at ? s = 13 TeV, p.199, 2015.

A. The and . Collaboration, Optimisation of the ATLAS b-tagging performance for the 2016 LHC Run, p.202, 2016.

A. The and . Collaboration, Luminosity Determination in pp Collisions at sqrt(s) = 8 TeV using the ATLAS Detector at the LHC", Eur. Phys. J. C, vol.76, p.207, 2016.

A. The and . Collaboration, The new LUCID-2 detector for luminosity measurement and monitoring in ATLAS, JINST, vol.13, p.207, 2018.

A. The and . Collaboration, Measurement of the Inelastic Proton-Proton Cross Section at ? s = 13 TeV with the ATLAS Detector at the LHC, Phys. Rev. Lett, vol.117, p.207, 2016.

A. The and . Collaboration, Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at ? s = 13 TeV with the ATLAS detector, Phys. Rev. D, vol.96, p.208, 2017.

A. The and . Collaboration, Measurements of b-jet tagging eciency with the ATLAS detector using tt events at ? s = 13 TeV, JHEP, p.208, 2018.

A. The and . Collaboration, Measurement of b-tagging eciency of c-jets in tt events using a likelihood approach with the ATLAS detector, p.208, 2018.

A. The and . Collaboration, Calibration of light-avour b-jet mistagging rates using ATLAS proton-proton collision data at ? s = 13 TeV, p.208, 2018.

. J-r-andersen, Handbook of LHC Higgs Cross Sections: 3. Higgs Properties, p.209, 2013.

J. Barlow and C. Beeston, Fitting using nite Monte Carlo samples, Comput. Phys. Commun, vol.77, p.214, 1993.

A. The and . Collaboration, Evidence for the H? bb decay with the ATLAS detector, JHEP, vol.12, p.218, 2017.

A. The and . Collaboration, Search for the H? bb decay of the Standard Model Higgs boson in associated (W/Z)H production with the ATLAS detector, JHEP, 2015.

A. The and . Collaboration, ATLAS Athena Guide, p.233, 2017.

J. Catmore, A new petabyte-scale data derivation framework for ATLAS, vol.290, p.11010, 2015.

A. The and . Collaboration, Reconstruction, Energy Calibration, and Identication of Hadronically Decaying Tau Leptons in the ATLAS Experiment for Run-2 of the LHC, 2015.

W. Verkerke and D. Kirkby, The RooFit toolkit for data modeling, vol.252, 2013.

R. Barlow, TFraction tter, a root class, vol.252, 2015.

A. The and . Collaboration, Evidence for the H(bb) decay with the ATLAS detector, p.253, 2017.