This document outlines José Cupertino Ruiz Vargas's PhD thesis on searching for diboson resonances in CMS data. It begins with an introduction to the standard model of particle physics and motivations for physics beyond the standard model, including the Randall-Sundrum model with extra dimensions. It then describes the CMS detector and object identification techniques. The analysis strategy is to select events with two opposite-sign leptons and two jets, and estimate backgrounds using Monte Carlo simulations and data-driven techniques. Unblinded results show agreement between data and background predictions in control regions.
OPHA Supplemental Site Investigation for GroundwaterSteve Williams
Presentation to the Moffett Restoration Advisory Board November 18, 2010: Former Orion Park Housing Area (OPHA) Supplemental Site Investigation for Groundwater
Numerical Simulations Of Basic Interfacial Instabilities With the Improved Tw...Luka Štrubelj
The interface of the stratified two-phase flow was successfully recognized and sharpened
within the two-fluid model. After the advection step of volume fraction the numerical diffusion
of the interface was reduced in such a way that the thickness of the interface is kept constant
during the simulation. The two basic instabilities of stratified flows: the Rayleigh-Taylor and
Kelvin-Helmholtz instability were used to validate the proposed two-fluid model. The proposed
two-fluid model with interface sharpening presents a step towards the simulations of flows,
which are locally dispersed or stratified.
OPHA Supplemental Site Investigation for GroundwaterSteve Williams
Presentation to the Moffett Restoration Advisory Board November 18, 2010: Former Orion Park Housing Area (OPHA) Supplemental Site Investigation for Groundwater
Numerical Simulations Of Basic Interfacial Instabilities With the Improved Tw...Luka Štrubelj
The interface of the stratified two-phase flow was successfully recognized and sharpened
within the two-fluid model. After the advection step of volume fraction the numerical diffusion
of the interface was reduced in such a way that the thickness of the interface is kept constant
during the simulation. The two basic instabilities of stratified flows: the Rayleigh-Taylor and
Kelvin-Helmholtz instability were used to validate the proposed two-fluid model. The proposed
two-fluid model with interface sharpening presents a step towards the simulations of flows,
which are locally dispersed or stratified.
Nitrogen Chemistry in Disffuse Interstellar MediumPrince Tiwari
This the project presentation which I gave at the end of VSRP-TIFR programme. It summarizes the study of nitrogen chemistry in diffuse galactic cloud W49N with help of data from HIFI spectrometer on-board Herschel Space Observatory.
Presentatie door Edwin Spee (Deltares) voor de "Simona Gebruikersmiddag", tijdens de Deltares Software Dagen- Editie 2017. Donderdag 15 juni 2017, Delft.
One approach to understanding the phase structure of QCD
at finite densities is to map the theory onto a simpler theory,
described by an effective Polyakov line action, and then
to solve for the phase structure of that theory by whatever
means may be available. At strong couplings and heavy
quark masses the effective theory can be obtained by a strong coupling/
hopping parameter expansion, and such expansions
have been carried out to rather high orders. These methods
do not seem appropriate for weaker couplings and light
quark masses, and a numerical approach of some kind seems
unavoidable. There are, of course, methods aimed directly at
the lattice gauge theory, bypassing the effective theory. These
include the Langevin equation and Lefshetz thimbles.
In this article, however, we are concerned with deriving the
effective Polyakov line action numerically, and solving the resulting
theory at non-zero chemical potential by a mean field
technique. In the past we have advocated a “relative weights”
method, reviewed below, to obtain the effective theory,
but thus far this method has only been applied to pure gauge
theory, and to gauge theory with scalar matter fields. Here we
would like to report some first results for SU(3) lattice gauge
theory coupled to dynamical staggered fermions.
The effective Polyakov line action (PLA) of a lattice gauge
theory is the theory which results from integrating out all of
the degrees of freedom of the theory, subject to the condition
that the Polyakov lines are held fixed, and it is hoped
that this effective theory is more tractable than the underlying
lattice gauge theory (LGT) when confronting the sign problem
at finite density. The general idea was pioneered in,
and the derivation of the PLA from the underlying LGT has
been pursued by various methods. The relative
weights method is a simple numerical technique for finding
the derivative of the PLA in any direction in the space of
Polyakov line holonomies.1 Given some ansatz for the PLA,
depending on some set of parameters, we can use the relative
weights method to determine those parameters. Then, given
the PLA at some fixed temperature T, we can apply a mean
field method to search for phase transitions at finite chemical
potential m. This is the strategy which we have outlined
in some detail in, where some preliminary results for finite
densities were presented. The relative weights method
has strengths and weaknesses; on the positive side the approach
is not tied to either a strong coupling or hopping parameter
expansion, and the non-holomorphic character of the
fermion action is irrelevant. The main weakness is that the validity
of the results depends on a good choice of ansatz for the
PLA. We have suggested, for exploratory work, an ansatz for
the PLA inspired first by the success of the relative weights
method applied to pure gauge theories, and secondly by
the form of the PLA obtained for heavy-dense quarks.
Prediction of the Propeller Performance at Different Reynolds Number Regimes ...João Baltazar
In this study, a Reynolds averaged Navier-Stokes solver is used for prediction of the propeller performance in open-water conditions at different Reynolds numbers ranging from 10^4 to 10^7. The k-\omega SST turbulence model and the \gamma-Re_\theta transition model are utilised and results compared for a conventional marine propeller. First, the selection of the turbulence inlet quantities for different flow regimes is discussed. Then, an analysis of the iterative and discretisation errors is made. This work is followed by an investigation of the predicted propeller flow and wake field at variable Reynolds numbers. Finally, the propeller scale-effects and the influence of the turbulence and transition models on the performance prediction are discussed. The variation of the flow regime showed an increase in thrust and decrease in torque for increasing Reynolds number. From the comparison between the turbulence model and the transition model, different flow solutions are obtained for the Reynolds numbers between 10^5 and 10^6.
Nitrogen Chemistry in Disffuse Interstellar MediumPrince Tiwari
This the project presentation which I gave at the end of VSRP-TIFR programme. It summarizes the study of nitrogen chemistry in diffuse galactic cloud W49N with help of data from HIFI spectrometer on-board Herschel Space Observatory.
Presentatie door Edwin Spee (Deltares) voor de "Simona Gebruikersmiddag", tijdens de Deltares Software Dagen- Editie 2017. Donderdag 15 juni 2017, Delft.
One approach to understanding the phase structure of QCD
at finite densities is to map the theory onto a simpler theory,
described by an effective Polyakov line action, and then
to solve for the phase structure of that theory by whatever
means may be available. At strong couplings and heavy
quark masses the effective theory can be obtained by a strong coupling/
hopping parameter expansion, and such expansions
have been carried out to rather high orders. These methods
do not seem appropriate for weaker couplings and light
quark masses, and a numerical approach of some kind seems
unavoidable. There are, of course, methods aimed directly at
the lattice gauge theory, bypassing the effective theory. These
include the Langevin equation and Lefshetz thimbles.
In this article, however, we are concerned with deriving the
effective Polyakov line action numerically, and solving the resulting
theory at non-zero chemical potential by a mean field
technique. In the past we have advocated a “relative weights”
method, reviewed below, to obtain the effective theory,
but thus far this method has only been applied to pure gauge
theory, and to gauge theory with scalar matter fields. Here we
would like to report some first results for SU(3) lattice gauge
theory coupled to dynamical staggered fermions.
The effective Polyakov line action (PLA) of a lattice gauge
theory is the theory which results from integrating out all of
the degrees of freedom of the theory, subject to the condition
that the Polyakov lines are held fixed, and it is hoped
that this effective theory is more tractable than the underlying
lattice gauge theory (LGT) when confronting the sign problem
at finite density. The general idea was pioneered in,
and the derivation of the PLA from the underlying LGT has
been pursued by various methods. The relative
weights method is a simple numerical technique for finding
the derivative of the PLA in any direction in the space of
Polyakov line holonomies.1 Given some ansatz for the PLA,
depending on some set of parameters, we can use the relative
weights method to determine those parameters. Then, given
the PLA at some fixed temperature T, we can apply a mean
field method to search for phase transitions at finite chemical
potential m. This is the strategy which we have outlined
in some detail in, where some preliminary results for finite
densities were presented. The relative weights method
has strengths and weaknesses; on the positive side the approach
is not tied to either a strong coupling or hopping parameter
expansion, and the non-holomorphic character of the
fermion action is irrelevant. The main weakness is that the validity
of the results depends on a good choice of ansatz for the
PLA. We have suggested, for exploratory work, an ansatz for
the PLA inspired first by the success of the relative weights
method applied to pure gauge theories, and secondly by
the form of the PLA obtained for heavy-dense quarks.
Prediction of the Propeller Performance at Different Reynolds Number Regimes ...João Baltazar
In this study, a Reynolds averaged Navier-Stokes solver is used for prediction of the propeller performance in open-water conditions at different Reynolds numbers ranging from 10^4 to 10^7. The k-\omega SST turbulence model and the \gamma-Re_\theta transition model are utilised and results compared for a conventional marine propeller. First, the selection of the turbulence inlet quantities for different flow regimes is discussed. Then, an analysis of the iterative and discretisation errors is made. This work is followed by an investigation of the predicted propeller flow and wake field at variable Reynolds numbers. Finally, the propeller scale-effects and the influence of the turbulence and transition models on the performance prediction are discussed. The variation of the flow regime showed an increase in thrust and decrease in torque for increasing Reynolds number. From the comparison between the turbulence model and the transition model, different flow solutions are obtained for the Reynolds numbers between 10^5 and 10^6.
CNN Lithology Prediction (Undergrad Thesis Jeremy Adi Padma Nagara - Universi...Jeremy Adi
This presentation will shows you that you can apply Machine Learning / Deep Learning in many fields. For this time, I use Deep Learning technique, which is Convolutional Neural Network, to tackle the problem in Geophysics Field (Gas Exploration - Oil and Gas Industry).
For the full resources, you can check it out here
https://github.com/Jeremy-Adi/CNN-Lithology-Classification
Backscatter Working Group Software Inter-comparison ProjectRequesting and Co...Giuseppe Masetti
Backscatter mosaics of the seafloor are now routinely produced from multibeam sonar data, and used in a wide range of marine applications. However, significant differences (up to 5 dB) have been observed between the levels of mosaics produced by different software processing a same dataset. This is a major detriment to several possible uses of backscatter mosaics, including quantitative analysis, monitoring seafloor change over time, and combining mosaics. A recently concluded international Backscatter Working Group (BSWG) identified this issue and recommended that “to check the consistency of the processing results provided by various software suites, initiatives promoting comparative tests on common data sets should be encouraged […]”. However, backscatter data processing is a complex (and often proprietary) sequence of steps, so that simply comparing end-results between software does not provide much information as to the root cause of the differences between results.
In order to pinpoint the source(s) of inconsistency between software, it is necessary to understand at which stage(s) of the data processing chain do the differences become substantial. We have invited willing software developers to discuss this framework and collectively adopt a list of intermediate processing steps. We provided a small dataset consisting of various seafloor types surveyed with the same multibeam sonar system, using constant acquisition settings and sea conditions, and have the software developers generate these intermediate processing results, to be eventually compared. If the experiment proves fruitful, we may extend it to more datasets, software and intermediate results. Eventually, software developers may consider making the results from intermediate stages a standard output as well as adhering to a consistent terminology, as advocated by Schimel et al. (2018). To date, the developers of four software (Sonarscope, QPS FMGT, CARIS SIPS, MB Process) have expressed their interest in collaborating on this project.
Remote sensing data from satellite with high temporal resolution typically have lower spatial resolution, with one pixel often spanning over a square kilometer. The signal recorded by such satellite at a pixel is typically a mixture of reflectance from different types of land covers within
the pixel, resulting in a mixed pixel. In this talk we introduce a couple of parametric and nonparametric statistical approaches to deal with the un-mixing problem which integrate information from multiple sources, and present some preliminary results applying the methodology to data
from the SMOS (Soil Moisture and Ocean Salinity) mission and the OCO-2 (Orbiting Carbon Observatory 2) mission, which motivated this research.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
• You will get life time access and life time free updates
• SkillCertPro assures 100% pass guarantee in first attempt.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
3. Outline
Search for Diboson Resonances
q General Strategy
q Event Selection
Analysis of CMS Data
q Background Estimation
q Confidence Limits
Conclusions and Outlook
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 3
Introduction
q The Standard Model and Beyond
q The Randall-Sundrum Model
The LHC and the CMS experiment
q Detector Components
q Identification of Physical Objects
7. Standard Model (3)
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 7
Predicts
q Weak interaction via
neutral current.
q The mass of the vector
bosons (W and Z).
q The existence of gluons
and three jets events.
q The evolution of the
coupling constant.
q The existence of the
Higgs boson.
Improvements
q Reproduces the low energy
phenomenology.
q The amplitudes respect
unitarity bounds.
q GIM mechanism requires
family structure.
q CP violation described by the
CKM matrix.
q Formulation of a gauge
theory for strong
interactions (QCD).
Success
q Existence of W, Z and gluons
was confirmed.
q The existence of three
families was established.
q CP violation found in the
third generation.
q There is no evidence of
fermionic structure.
q Discovery of the
Higgs boson.
11. Extra Dimensions and Randall-Sundrum Model
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 11
Randall-Sundrum Model
q 5-dimensional bulk
q 4-dimensional branes
q Warped ED compactified in
𝑆" 𝑍$⁄ orbifold
Exponential hierarchy
q Solves hierarchy problem
𝑀'(
$
=
𝑀∗
+
𝑘
(1 − 𝑒1$234)
Kaluza-Klein idea (1920’s)
q Gravity and EM unified
via 5-dimensional gravity
q Kaluza-Klein modes
𝑚$
= 𝑚7
$
+ 9
𝑛;
$
𝑅;
$
=
;>"
q Extra dimensions
𝑅; (𝑖 = 1, … , 𝛿)
24. 22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 24
Graviton mass (GeV)
750 800 1000 1200 1400 1600 1800 2000 2500
Efficiency
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
= 0.5Pl
ZZ, k/M→bulkG
m channel NP e channel NP
m channel HP e channel HP
m channel LP e channel LP
Preliminary 13 TeVCMS
Selection Cut-flow and Signal Efficiency
25. Signal Characterization in Simulation
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 25
(GeV)
T
first generated muon p
0 100 200 300 400 500 600 700 800
normalized
0
0.01
0.02
0.03
0.04
0.05
Background
Mean 157.5
Std Dev 105.4
Signal
Mean 367.7
Std Dev 171.8
SimulationCMS
(GeV)
T
generated Z boson p
0 200 400 600 800 1000 1200 1400 1600
normalized
0
0.02
0.04
0.06
0.08
0.1
0.12
Background
Mean 317.3
Std Dev 116.6
Signal
Mean 738
Std Dev 128.2
SimulationCMS
34. Background Shape Estimation: Alpha Method
Invariant mass in the control region
(GeV)ZVm
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
2
10
muon channel high purity
Data in SB (68)
Parametric model
7.0)±Z+jets (66
1.2)±(1.8tVV, t
muon channel high purity
Data in SB (68)
Parametric model
7.0)±Z+jets (66
1.2)±(1.8tVV, t
(13 TeV)-1
2.7 fb
CMS
Preliminary
Alpha transfer factor from simulation
(GeV)ZVm
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
muon channel high purity
Z+jets SB Z+jets SR
-functionα
muon channel high purity
Z+jets SB Z+jets SR
-functionα
(13 TeV)-1
2.7 fb
CMS
Simulation
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 34
35. Unblind Results: Jet Mass
Muon Low Purity
(GeV)Jm
20 40 60 80 100 120 140 160 180 200 220
Events/(5GeV)
0
10
20
30
40
50
60
70
80
90
muon channel low purity
Data (592)
Parametric model
30)±Z+jets (578
4.2)±(17.8tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
Electron Low Purity
(GeV)Jm
20 40 60 80 100 120 140 160 180 200 220
Events/(5GeV)
0
10
20
30
40
50
60
70
80
90
electron channel low purity
Data (412)
Parametric model
25)±Z+jets (399
3.7)±(13.5tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 35
36. Unblind Results: Jet Mass
Muon High Purity
(GeV)Jm
20 40 60 80 100 120 140 160 180 200 220
Events/(5GeV)
0
5
10
15
20
25
30
35
40
45
50
muon channel high purity
Data (222)
Parametric model
24)±Z+jets (194
3.8)±(14.2tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
Electron High Purity
(GeV)Jm
20 40 60 80 100 120 140 160 180 200 220
Events/(5GeV)
0
5
10
15
20
25
30
35
40
45
50
electron channel high purity
Data (155)
Parametric model
18)±Z+jets (118
3.5)±(12.5tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 36
37. Invariant Mass in Signal Region
Muon Low Purity
(GeV)ZV
m
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
2
10
muon channel low purity
Data in SR (157)
Parametric model
11.0)±Z+jets (150
2.6)±(7.4tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
Electron Low Purity
(GeV)ZV
m
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
2
10
electron channel low purity
Data in SR (116)
Parametric model
10.3)±Z+jets (105
2.1)±(5.3tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 37
38. Invariant Mass in Signal Region
Muon High Purity
(GeV)ZV
m
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
2
10
muon channel high purity
Data in SR (110)
Parametric model
7.8)±Z+jets (88
3.0)±(10.1tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
Electron High Purity
(GeV)ZV
m
600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600
Events/(50GeV)
1
10
2
10
electron channel high purity
Data in SR (85)
Parametric model
6.5)±Z+jets (53
3.0)±(9.3tVV, t
Pulls
5−
0
5
(13 TeV)-1
2.7 fb
CMS
Preliminary
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 38
45. Conclusions and Outlook
22 May 2017 SÃO PAULO RESEARCH AND ANALYSIS CENTER 45
Search for diboson resonances
q ZZ semi-leptonic channel
q Data from CMS 2015 pp collisions
Most significant excess
q Invariant mass = 1 TeV
q P-value = 0.018
q Significance = 2σ
Benchmark model
q Randall-Sundrum bulk graviton
q No evidence found
Analysis with 2016 data
q Combined effort
◦ Higgs + B2G analysis groups
q Results with full statistics
◦ Under approval
Outlook
q LHC
◦ Additional 20 years of operation
◦ Integrated luminosity ∼2,500 fb-1
q Analysis technique improvement
◦ Machine Learning: disentangle jets