OUTLINE: Ø Introduction. Ø Problems. Ø Scope. Ø Why contemplate this at all? Ø What complicates the matter? Ø What will be covered in this class?
|
|
- Marshall Marsh
- 5 years ago
- Views:
Transcription
1 PHOTON MASTERCLASS
2 OUTLINE: Ø Introduction Ø Why contemplate this at all? Ø Problems Ø What complicates the matter? Ø Scope Ø What will be covered in this class? 2
3 WHY CONTEMPLATE THIS AT ALL? Ø What drives us to even attempt to measure/identify photons at a hadron collider? Ø I mean, isn t it only Hà γγ? 3
4 JUST A FEW PHYSICS TOPICS: dσ/dmγ γ (pb/gev) Events/ GeV 3 Data Total Background Total Uncertainties MC Signal (250/700/225) 2 CMS Preliminary Events/ 42 GeV CMS preliminary CMS Preliminary, L = 4.7fb-, s = 7 TeV, γ, 3jets s = 7 TeV - s = 8 TeV jets γ bkg multijet Zγ +Jets top Wγ +jets WV γ -2 2 / Λ = 50 TeV 2-2 2γ NNLO CMS preliminary, 35 pb-, s=7 TeV eγ data Wγ e jet e γ ee eγ 8 data/2γ NNLO JETPHOX 6 SHERPA γ η < 0.9 (X8000) 5 γ 0.9 < η <.4442 (X400) γ.566 < η < 2. (X20) γ 2. < η < ETmiss [GeV] ETmiss [GeV] CMS 4.9 fb- - s = 7 TeV Drell-Yan/W (MC) DATA Total uncertainty γ + Jets (data) W/Z + Jets + γ (MC) QCD Multijet (data) t t + Jets (MC) Bkg. stat error GMSB (0, 2000) GMSB (0, 250) TCalib > 0.5 ns - η < pγ T 3 2 (GeV) PbPb 0 - % 4 PbPb - 30% 3 PbPb 30-0% 2 PbPb 0-0% pp Systematic Uncertainty JETPHOX (pp NLO) jet pγt (GeV) Photon ET (GeV) Higgs Mass Region Data Driven Background MC Signal: MStop=350 GeV, MHiggsino=35 GeV MC Signal: MStop=400 GeV, MHiggsino=300 GeV MC Signal: M =300 GeV, MHiggsino=290 GeV Stop CMS 2.2 fb- at 7 TeV 2 80 Observed Diphoton γ +jet Systematic Uncertainty ~ k = 0.05, M =.75 TeV n ED = 6, MS = 3 TeV ET [GeV] pγt γ (GeV) Dijet -2-3 Data/Bkg. Number of Events γ η <.44 Events per bin snn=2.76tev Lint (PbPb)= 6.8 µb- Lint (pp)= 23 nb- pp dσ/det (pb/gev) - CMS s = 7 TeV Events/20 GeV CMS Preliminary 2.4 fb PbPb dn/det/ <TAA > (pb/gev) γ Electroweak GGM γ γ (0_720_375) GGM γ γ (400_420_375) 7 T d3σ/dp dηγ dηjet QCD + Electroweak Error QCD (fake fake sample) 50 s = 7 TeV Data (b) SM W(µν)γ jets γ bkg e γ bkg Other bkg CMS Preliminary, s = 8 TeV, L dt = 9.5 fb- γ γ Candidate Sample Photon pt (GeV) 4 mγ γ (GeV) CMS, L = 5 fb >= Jet Requirement s = 8 TeV, Ldt = 4.04 fb CMS Preliminary T Photon p (GeV) background uncertainty JGB [GeV] 0 2 Events 50 data/diphox 0 50 Ratio Data/MC DIPHOX+GAMMA2MC -4-2 Events / GeV SM + aw 0 - data 20, L = 5.0 fb - Number of Events / GeV 3-3 Data/Prediction L dt = 9.2 fb Electron Data MC Uncertainty Mγ γ [GeV]
5 Ø Colorless tests of QCD, both in pp and HI Ø Diboson and now Triboson coupling measurements Ø Higgsà γγ sure, but also Hà Zγ, and Higgsino searches Ø Dark matter in monophotons Ø SUSY searches THERE S A LOT Ø New resonances (Gà γγ for instance) Ø χ c and some others Ø Exclusive diphoton production Ø There s a pretty long list 5
6 ALSO: Ø There are also accessory things one can learn from converted photons for instance, like material distribution and JES. We re not really going to cover that here, but it is something that we do. Ø There s also a lot of the commonality between photons and electrons, so learning about one can begin to inform the other. 6
7 THE CHALLENGE Ø There s a lot of nice things about photons, they form nice predictable electromagnetic showers (at least if they re not converted) that we can measure very precisely. Ø Unfortunately there are two real problems with photons: Ø Photons are non-redundant: you ONLY get the measurement of energy from the ECAL, and you typically have no indication of what vertex the photon came from. Ø Jets are EVERYWHERE: any jet which fragments to a significant electromagnetic portion is going to look photon-like to some extent. Ø Our photon reconstruction and Photon Identification are built to try to get the best estimate of the photon energy, and discriminate against as much of the jet background as possible. 7
8 WHAT WILL WE COVER? Ø The goal of this workshop is to introduce you to how we reconstruct photons, and the choices that have been made in the algorithms. Ø I want to make these quantities real to you, relate them to what the detector actually recorded. No more simply cutting on things from your ntuple! Ø Get real hands on experience, and further think critically about the choices that have been made. Ø We will mainly concentrate on the present reconstruction, that which is used in the 202 data, but we ll look into the future at various points as well. We ll also look into what past detectors have done, and what our distinguished competition does. 8
9 THREE PARTS: Ø There are three different exercises that have been prepared. Two out of the three are more fun if you have Microsoft Excel, but that s not strictly necessary. Ø We re not doing C++ coding, and we re not going to run CMSSW. Ø What we re going to do instead is look at what CMSSW is actually DOING. Ø Each exercise has a lecture that corresponds with it that details what the reconstruction is doing. Then you ll take the data, and try to put it to work. What I want to do with the rest of this talk is to try to put the other steps of photon reconstruction in context. 9
10 PRESENTLY: Ø We start making Photon objects out of superclusters, which have had energy corrections applied to them. Ø Exercise is all about how we form these clusters out of energy depositions in the ECAL. Ø The superclusters that we make Photons from, must be at least GeV in E T (calculated from the center of the detector). Ø That is almost ALL that is required. Thus why I put photon in quotation marks. Most of what lives in this collection is actually jets. Ø If you are above 0 GeV (in E T ), you enter the photon collection. Ø If you are below 0 GeV, you must pass a preselection cut.
11 Ø This is really pretty simple, it s a cut on the old version of H/E. Here: Ø H is the sum of Hcal towers in a cone of ΔR < 0.5 about the supercluster position. Ø E is the supercluster energy. PRESELECTION: Ø You are required to have this ratio be less than 0.5. This is a really weak preselection cut.
12 Ø The first somewhat weird quantity we ll meet is known as R9. R9 Ø R9 is a ratio between the energy in the 3x3 crystal array about the highest energy crystal in the cluster and the total supercluster energy. Ø This quantity is often used to classify photon candidates as being likely to be unconverted (large R9) or likely to be converted (smaller R9). Ø This quantity also controls what estimates of the photon energy and position are used. 2
13 R9 Ø The first somewhat weird quantity we ll meet is known as R9. η R9 = E 3x3 / E supercluster φ
14 BASED ON R9 Ø We assign the position of our photon to either: Ø The position of the seed basic cluster within the supercluster, if R9>0.94(0.95) in the barrel (endcap). Ø The position of the supercluster if not. Ø We then take the first vertex in the offlineprimaryvertex collection and calculate our physics rapidity. Ø The ENERGY of the photon is presently set to either: Ø The energy of the 5x5 array of crystals corrected for containment if R9 > 0.94 (0.95) in the barrel (endcap) Ø The corrected supercluster energy if not. Ø Either way there is an additional correction for cracks. 4
15 SO: Ø What the superclustering does is actually pretty darn relevant. Ultimately that s what will determine your value for R9: Ø and R9 will determine what you do for your position calculation Ø and R9 will determine what you do for your energy estimate. Ø Exercise is all about the clustering. 5
16 HERE S THE REST: Ex.2 Ex.3 Ø These are the cut based photon identification requirements. These take you, ostensibly, from the very low purity set of photons to something more pure. 6
17 H/E NEW: Ø Single tower H/E is supposed to be a more pileup safe version of the previous H/E. Ø Recall, the previous version, and the version still used in the preselection uses a cone of ΔR < 0.5 to pick the Hcal towers in proximity to the supercluster. Ø This time the DetId of the highest energy crystal (or the seed crystal) is used to look up the tower that this channel belongs to. Then only the corresponding Hcal energy is used. So in principle, you could have a large spread (as you ll see) across the Ecal, but only that one tower will be considered for H/E. 7
18 CONVERSION SAFE VETO: Ø This is an outgrowth of the older pixel seed veto that used to stand in for electron rejection. Ø The pixel seed in question was a combination of hits in the pixel detector found based on the E T, η, φ of the electron candidate, which originated from the same superclusters that seed photons. Ø Which is still used as an option for analyses that suffer from substantial electron backgrounds. Ø The conversion safe veto is in some sense a looser variant of this, see next slide. 8
19 CONVERSION SAFE VETO (2) Ø Take your photon. Find it s supercluster. Ø Check to see if this supercluster is shared by an electron candidate. Ø If it does, check if there are missing inner hits. If there are missing hits, you re still okay. Ø Otherwise, check if this electron matches a conversion. If it does, and this is a bona fide conversion (good vertex, distance from beamspot, and missing inner hits), you re still okay. Ø If you HAVE a matched conversion that isn t bona fide then you re an electron. (meaning you match an electron, which even if it is found as a conversion doesn t qualify as a displaced conversion). 9
20 Ø We ll now backtrack and look at the clustering, and then the shower shape from the identification requirements. Ø After we get through that, we ll look at photon ID at different detectors. Tomorrow we ll study isolation, and look to the future. Ø Let s get ready! SO THAT S WHERE WE ARE: 20
Photon Identification in the Future. Andrew Askew Florida State University
Photon Identification in the Future Andrew Askew Florida State University WHAT IS IN STORE? Ø Predictions are difficult to make, especially about the future. Yogi Berra Ø Everything I ve showed you here
More informationCMS Performance Note
Available on CMS information server CMS DP -2013/009 CMS Performance Note The content of this note is intended for CMS internal use and distribution only 27 March 2013 Single Muon efficiencies in 2012
More informationσ IηIη Andrew Askew Florida State University
σ IηIη Andrew Askew Florida State University Ø As I have doubtless said previously, photon identification is difficult. There are many reasons for this, but foremost among them is that you have few direct
More informationLatest Results on the Standard Model Higgs Searches at the LHC
Latest Results on the Standard Model Higgs Searches at the LHC Koji Nakamura On behalf of CMS and ATLAS collaboration July 12th, 2011 KEK seminar 1 Independence day in U.S. Examples of NEWS PAPERS Physicists
More informationStatus Report for Standard Model WH(bb) Analysis
Status Report for Standard Model WH(bb) Analysis Yanhui Ma VH(bb) Mee)ng @LAL 2016-11- 16 Introduction Ø Search for a SM Higgs boson produced in associa?on with a vector boson(w/z), and decaying to a pair
More informationJets in Higgs searches with the CMS Experiment
Jets in Higgs searches with the CMS Experiment Arnaud Pin 1 On behalf of the CMS Collaboration 1 : Manchester University. CMS membership with the center for Cosmology, Particle Physics and Phenomenology,
More informationKorea CMS Team Status and Plans. Un-Ki Yang Seoul National University
Korea CMS Team Status and Plans Un-Ki Yang Seoul National University 19TH CKC Meeting, Apr. 25, 2016 Korea-CMS at the LHC Ø Korea-CERN CMS project: Stage 3 ( 13-15) was successfully done: Stage 1 started
More informationfor the IceCube Collaboration
Hermann Kolanoski Humboldt-Universität zu Berlin and DESY for the IceCube Collaboration ICRC, Aug 11-18, 2011 H.Kolanoski - IceCube Highlights 1 Cosmic Rays and Neutrinos Driving theme: Origin of Cosmic
More informationSearch for Dark. Dark Matter in LHC Era Kolkata 2011
Search for Dark Matter with IceCube Catherine De Clercq for the IceCube Collaboration Vij Vrije Universiteit i i Brussel w3.iihe.ac.be Dark Matter in LHC Era Kolkata 2011 Outline Weakly Interacting Massive
More informationSearch for Dark Matter Captured in the Sun with the IceCube Neutrino Observatory
Search for Dark Matter Captured in the Sun with the IceCube Neutrino Observatory for the IceCube Collaboration The Oscar Klein Centre for Cosmoparticle Physics, Stockholm University 9th International Conference
More informationCharm Physics at the Tevatron
Charm Physics at the Tevatron Ò Ö ÃÓÖÒ ÁÒ Ø ØÙØ Ó Ì ÒÓÐÓ Ý Å Ù ØØ ÓÖÒÑ Øº Ù ÓÖ Ø Ò ÓÐÐ ÓÖ Ø ÓÒ Ê ÒÓÒØÖ ÅÓÖ ÓÒ ÎÁÁÁØ ¾ Ö ¹¾ Ø ¾¼¼ Å Ö Ô Ô ÓÐÐ Ö Ø Ô ½ Ì Î ¾ Ò Ö Ð ÔÙÖÔÓ Ø ØÓÖ Ò Ö ÓÖ ½ ¼ Ô ½ ½¼¼ Ô ½ Ì Ú ØÖÓÒ
More informationDark Matter Searches with AMANDA and IceCube
Dark Matter Searches with AMANDA and IceCube Catherine De Clercq for the IceCube Collaboration Vrije Universiteit Brussel IDM 2008 Overview 1. Neutrinos from WIMP annihilations in Sun and Earth 2. The
More informationMarzia Rosati Iowa State University
Marzia Rosati Iowa State University M. Rosati 9/26/14 1 d Au n J/ψ is mostly produced by gluon fusion, and thus sensitive to gluon pdf n Phenix probes different momentum fraction of Au gluons Ø South (y
More informationThe IceCube Upgrade Marek Kowalski DESY & Humboldt-University Zeuthen-Meeting in Mainz September 2018
The IceCube Upgrade Marek Kowalski DESY & Humboldt-University Zeuthen-Meeting in Mainz September 2018 South Pole 2009!1 The IceCube Upgrade The next step in precision astroparticle physics with IceCube
More informationÖÑÐ ÅÐ Ð ÍÒÚÖ ØÝ Ó ÊÓ ØÖ É Ê ÙÐØ ÖÓÑ
ÊÙÒ ÁÁ É Ê ÙÐØ ÖÓÑ Ð ÅÐ Ó ÊÓ ØÖ ÍÒÚÖ ØÝ ÓÖ Ø ÓÐÐÓÖØÓÒ ÊÒÓÒØÖ ÅÓÖÓÒ ÎÁÁÁØ ¾ ¾¼¼ ÅÖ ØØÓÖ ÖÔØÓÒ ÓÖÛÖ ÈÖÓØÓÒ ØØÓÖ ËØØÙ ÒØÖÐ Ø Å ÖÓ ËØÓÒ ÖÑÐ ÅÐ Ð ÍÒÚÖ ØÝ Ó ÊÓ ØÖ É Ê ÙÐØ ÖÓÑ Ã ÊÙÒ ÁÁ ØØÓÖ ÅÙÓÒ ËÒØÐÐØÓÖ ÅÙÓÒ
More informationRandom Forests. Gradient Boosting. and. Bagging and Boosting
Random Forests and Gradient Boosting Bagging and Boosting The Bootstrap Sample and Bagging Simple ideas to improve any model via ensemble Bootstrap Samples Ø Random samples of your data with replacement
More informationFemale Migration, Human Capital and Fertility
Female Migration, Human Capital and Fertility Vincenzo Caponi, CREST (Ensai), Ryerson University,IfW,IZA January 20, 2015 VERY PRELIMINARY AND VERY INCOMPLETE Abstract The objective of this paper is to
More informationPLS 103 Lecture 3 1. Today we talk about the Missouri legislature. What we re doing in this section we
PLS 103 Lecture 3 1 Today we talk about the Missouri legislature. What we re doing in this section we finished the Constitution and now we re gonna talk about the three main branches of government today,
More informationSupport Vector Machines
Support Vector Machines Linearly Separable Data SVM: Simple Linear Separator hyperplane Which Simple Linear Separator? Classifier Margin Objective #1: Maximize Margin MARGIN MARGIN How s this look? MARGIN
More information11. Demographic Transition in Rural China:
11. Demographic Transition in Rural China: A field survey of five provinces Funing Zhong and Jing Xiang Introduction Rural urban migration and labour mobility are major drivers of China s recent economic
More informationDimension Reduction. Why and How
Dimension Reduction Why and How The Curse of Dimensionality As the dimensionality (i.e. number of variables) of a space grows, data points become so spread out that the ideas of distance and density become
More informationPart I: Univariate Spatial Model (20%)
17.251 Fall 2012 Midterm Exam answers Directions: Do the following problem. Part I: Univariate Spatial Model (20%) The nation is faced with a situation in which, if legislation isn t passed, the level
More informationUncertainty in Measurements
Uncertainty in Measurements Ø A measurement is a number with a unit attached. Ø It is not possible to make exact measurements, and all measurements have uncertainty. Ø We will generally use metric system
More informationIncome Distributions and the Relative Representation of Rich and Poor Citizens
Income Distributions and the Relative Representation of Rich and Poor Citizens Eric Guntermann Mikael Persson University of Gothenburg April 1, 2017 Abstract In this paper, we consider the impact of the
More informationThe State of Central Asia
The State of Central Asia Nov. 30, 2017 Allison Fedirka and Xander Snyder explain the importance of this often overlooked region. Sign up here for free updates on topics like this. https://www.youtube.com/watch?v=bokiseahgg4
More informationIN THE SUPREME COURT OF BRITISH COLUMBIA
Date of Release: May 1, 1992 No. 17176 Kamloops Registry IN THE SUPREME COURT OF BRITISH COLUMBIA BETWEEN: ) ) JACQUELYN BARBARA DAVIDSON ) ) REASONS FOR JUDGMENT PLAINTIFF ) ) OF THE HONOURABLE AND: )
More informationDemocracy and Democratization: theories and problems
Democracy and Democratization: theories and problems By Bill Kissane Reader in Politics, LSE Department of Government I think they ve organised the speakers in the following way. Someone begins who s from
More informationParties, Candidates, Issues: electoral competition revisited
Parties, Candidates, Issues: electoral competition revisited Introduction The partisan competition is part of the operation of political parties, ranging from ideology to issues of public policy choices.
More informationChanging Times, Changing Enrollments: How Recent Demographic Trends are Affecting Enrollments in Portland Public Schools
Portland State University PDXScholar School District Enrollment Forecast Reports Population Research Center 7-1-2000 Changing Times, Changing Enrollments: How Recent Demographic Trends are Affecting Enrollments
More informationEFFECTIVELY RECOVERING ATTORNEY S FEES
EFFECTIVELY RECOVERING ATTORNEY S FEES So what I m going to do today is go through some of the procedural pitfalls in recovering fees and give you some practice tips that you can use whether you are seeking
More informationY=ln 1 SATURATION REGION. ln Q (Y) BFKL DGLAP. ln Q. n (αs lnq2 ) n + n (αs lns)n +
À ¹ Ò Ö Ý É Ö ÙÑÑ Ø ÓÒ Ø Ø Ø ÄÀ Ò ÓÐÐ ÓÖ Ø ÓÒ Û Ø Êº ÓÙ Ö ÁÆÈ ÃÖ Ûµ º ÙÐÓÙ ÁÈ Ì Ë Ð Ýµ ĺ ËÞÝÑ ÒÓÛ Æ Â Ï Ö Ûµ Ë ÑÙ Ð Ï ÐÐÓÒ ÍÒ Ú Ö Ø È ÖÖ Ø Å Ö ÙÖ Ò Ä ÓÖ ØÓ Ö È Ý ÕÙ Ì ÓÖ ÕÙ ÆÊË» ÍÒ Ú Ö Ø È Ö ËÙ ÇÖ Ý ÊÈÈ
More informationNovember 2, 2012, 14:30-16:30 Venue: CIGS Meeting Room 3
November 2, 2012, 14:30-16:30 Venue: CIGS Meeting Room 3 CIGS Seminar: "Rethinking of Compliance: Do Legal Institutions Require Virtuous Practitioners? " by Professor Kenneth Winston < Speech of Professor
More informationFrom the Office of the Special Inspector General for Afghanistan Reconstruction
From the Office of the Special Inspector General for Afghanistan Reconstruction Transcript for: Operation Oversight Episode 6: Afghanistan Security Update Description: Hear and update form SIGAR s security
More informationKEYNOTE ADDRESS: GFMD Thematic Workshop Implementation of the Global Compact for Migration at the National Level 21 March 2019, Geneva
KEYNOTE ADDRESS: GFMD Thematic Workshop Implementation of the Global Compact for Migration at the National Level 21 March 2019, Geneva Excellencies, Ladies and Gentlemen, It is a distinct honour and privilege
More informationDeterminants and Effects of Negative Advertising in Politics
Department of Economics- FEA/USP Determinants and Effects of Negative Advertising in Politics DANILO P. SOUZA MARCOS Y. NAKAGUMA WORKING PAPER SERIES Nº 2017-25 DEPARTMENT OF ECONOMICS, FEA-USP WORKING
More informationWhy growth matters: How India s growth acceleration has reduced poverty
Why growth matters: How India s growth acceleration has reduced poverty A presentation by Professor Arvind Panagariya Prof Arvind Panagariya, the Jagdish Bhagwati Professor of Indian Political Economy
More informationNational Labor Relations Board
National Labor Relations Board Submission of Professor Martin H. Malin and Professor Jon M. Werner in response to the National Labor Relations Board s Request for Information Regarding Representation Election
More informationγ Q 2 Q 2 γ Q 2 s x + ξ x ξ
Ö Ø ÓÒ Ò Ñ ¹ ÜÐÙ Ú Ô Ý Ø Ì Ê Ë ÑÙ Ð Ï ÐÐÓÒ ÍÒ Ú Ö Ø È ÖÖ Ø Å Ö ÙÖ Ò Ä ÓÖ ØÓ Ö È Ý ÕÙ Ì ÓÖ ÕÙ ÆÊË» ÍÒ Ú Ö Ø È Ö ËÙ ÇÖ Ý ËÈÊÁÆ ¾¼½¾ Ì Ê Å Ø Ò Ü ¹Ì Ö Ø ÜÔ Ê Ñ ÒØ Ù Ò Ø ÄÀ Ñ Å ½½Ø ¾¼½¾ ½» ¾ ÜØ Ò ÓÒ ÖÓÑ ÁË
More informationChallenges in top quark physics. Jan Winter Bayrischzell, January 21, 2014 p.1
Ù ÓÒ Ò µ Ö Ö ÓÖ Ö Ò ÑÓ ÖÒ ÅÓÒØ ÖÐÓ É Callenes in top uark pysics ÅÈÈ Ê ØÖ Ø ¾¼½ ÝÖ Þ ÐÐ ÀÓØ Ð ÞÙÖ ÈÓ Ø ¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹¹ Â Ò Ï ÒØ Ö ÅÈÈ ÅÙÒ Ú ÒØ Ò Ö ØÓÖ º Ü ÑÔÐ ½ ØÓÔ ÕÙ Ö
More informationProfessor Christina Romer. LECTURE 13 LABOR AND WAGES March 1, 2018
Economics 2 Spring 2018 Professor Christina Romer Professor David Romer LECTURE 13 LABOR AND WAGES March 1, 2018 I. OVERVIEW A. Another firm decision: How to produce the desired quantity B. The market
More informationThe Effectiveness of Receipt-Based Attacks on ThreeBallot
The Effectiveness of Receipt-Based Attacks on ThreeBallot Kevin Henry, Douglas R. Stinson, Jiayuan Sui David R. Cheriton School of Computer Science University of Waterloo Waterloo, N, N2L 3G1, Canada {k2henry,
More informationTHE ANDREW MARR SHOW INTERVIEW: NICOLA STURGEON, MSP FIRST MINISTER, SCOTLAND JANUARY 25 th 2015
PLEASE NOTE THE ANDREW MARR SHOW MUST BE CREDITED IF ANY PART OF THIS TRANSCRIPT IS USED THE ANDREW MARR SHOW INTERVIEW: NICOLA STURGEON, MSP FIRST MINISTER, SCOTLAND JANUARY 25 th 2015 Now it s the big
More informationProfessor Christina Romer. LECTURE 11 LABOR AND WAGES February 28, 2019
Economics 2 Spring 2019 Professor Christina Romer Professor David Romer LECTURE 11 LABOR AND WAGES February 28, 2019 I. OVERVIEW A. The market for labor B. Why labor market analysis is important II. LABOR
More informationUNION COLLEGE DEPARTMENT OF ECONOMICS, FALL 2004 ECO 146 SEMINAR IN GLOBAL ECONOMIC ISSUES GLOBALIZATION AND LABOR MARKETS
UNION COLLEGE DEPARTMENT OF ECONOMICS, FALL 2004 ECO 146 SEMINAR IN GLOBAL ECONOMIC ISSUES GLOBALIZATION AND LABOR MARKETS The Issues wage inequality between skilled and unskilled labor the effects of
More informationAs you may have heard, there has been some discussion about possibly changing Canada's electoral system. We want to ask people their views on this.
Ballot Testing and Voting System Survey [Screen for PC-only won't work on mobile] [Intro Screen] As you may have heard, there has been some discussion about possibly changing Canada's electoral system.
More informationLecture 22: Causes of Urbanization
Slide 1 Lecture 22: Causes of Urbanization CAUSES OF GROWTH OF URBAN POPULATION Urbanization, being a process of population concentration, is caused by all those factors which change the distribution of
More informationChapter Seven: Energy
ENERGY Chapter Seven: Energy Ø 7.1 Energy and Systems Ø 7.2 Conservation of Energy Ø 7.3 Energy Transformations Chapter 7.1 Learning Goals Ø Define energy as a description of an object s ability to change
More informationThe Threat Continues. Medicaid, the Budget, and Deficit Reduction: The Bottom Line: Our Message on Medicaid and the Super Committee Process
Medicaid, the Budget, and Deficit Reduction: The Threat Continues From Families USA August 2011 We averted default on the national debt when, in exchange for an increase in the debt ceiling, Congress passed,
More informationArea based community profile : Kabul, Afghanistan December 2017
Area based community profile : Kabul, Afghanistan December 207 Funded by In collaboration with Implemented by Overview This area-based city profile details the main results and findings from an assessment
More informationWhat s the Right Thing To Do?
What s the Right Thing To Do? Harvard University s Justice with Michael Sandel Let s start with utilitarianism. According to the principle of utility, we should always do whatever will produce the greatest
More informationResearch Report. How Does Trade Liberalization Affect Racial and Gender Identity in Employment? Evidence from PostApartheid South Africa
International Affairs Program Research Report How Does Trade Liberalization Affect Racial and Gender Identity in Employment? Evidence from PostApartheid South Africa Report Prepared by Bilge Erten Assistant
More informationComputerization and Immigration: Theory and Evidence from the United States 1
Computerization and Immigration: Theory and Evidence from the United States 1 Gaetano Basso (Banca d Italia), Giovanni Peri (UC Davis and NBER), Ahmed Rahman (USNA) BdI-CEPR Conference, Roma - March 16th,
More informationMigration With Endogenous Social Networks in China
Migration With Endogenous Social Networks in China Jin Zhou (University of Western Ontario) May 2015 Abstract Numerous empirical studies have documented a strong association between social networks and
More informationEFFICIENCY OF COMPARATIVE NEGLIGENCE : A GAME THEORETIC ANALYSIS
EFFICIENCY OF COMPARATIVE NEGLIGENCE : A GAME THEORETIC ANALYSIS TAI-YEONG CHUNG * The widespread shift from contributory negligence to comparative negligence in the twentieth century has spurred scholars
More informationGender preference and age at arrival among Asian immigrant women to the US
Gender preference and age at arrival among Asian immigrant women to the US Ben Ost a and Eva Dziadula b a Department of Economics, University of Illinois at Chicago, 601 South Morgan UH718 M/C144 Chicago,
More informationCan Immigrants Insure against Shocks as well as the Native-born?
DEPARTMENT OF ECONOMICS ISSN 1441-5429 DISCUSSION PAPER 31/16 Can Immigrants Insure against Shocks as well as the Native-born? Asadul Islam, Steven Stillman and Christopher Worswick Abstract: The impact
More informationPower Relations in Local Governments in Central and Eastern Europe
Power Relations in Local Governments in Central and Eastern Europe 1. Introduction The countries of Central and Eastern Europe threw off communism over ten years ago. Democratic transition in these countries
More informationTransnational Dimensions of Civil War
Transnational Dimensions of Civil War Kristian Skrede Gleditsch University of California, San Diego & Centre for the Study of Civil War, International Peace Research Institute, Oslo See http://weber.ucsd.edu/
More information2 The Mathematics of Power. 2.1 An Introduction to Weighted Voting 2.2 The Banzhaf Power Index. Topic 2 // Lesson 02
2 The Mathematics of Power 2.1 An Introduction to Weighted Voting 2.2 The Banzhaf Power Index Topic 2 // Lesson 02 Excursions in Modern Mathematics, 7e: 2.2-2 Weighted Voting In weighted voting the player
More informationLECTURE 10 Labor Markets. April 1, 2015
Economics 210A Spring 2015 Christina Romer David Romer LECTURE 10 Labor Markets April 1, 2015 I. OVERVIEW Issues and Papers Broadly the functioning of labor markets and the determinants and effects of
More informationAndrew Blowers There is basically then, from what you re saying, a fairly well defined scientific method?
Earth in crisis: environmental policy in an international context The Impact of Science AUDIO MONTAGE: Headlines on climate change science and policy The problem of climate change is both scientific and
More informationIntroduction to Path Analysis: Multivariate Regression
Introduction to Path Analysis: Multivariate Regression EPSY 905: Multivariate Analysis Spring 2016 Lecture #7 March 9, 2016 EPSY 905: Multivariate Regression via Path Analysis Today s Lecture Multivariate
More informationThe ESO Observing Process
The ESO Observing Process Paolo Padovani ESO, Germany, ELT Science Office (with thanks to Nando Patat) The ESO call for proposals Proposal types and numbers The ESO Observing Programmes Committee Some
More informationRelative Importance of Push & Pull Factors in Entrepreneurial Selection for Tourismpreneur
Relative Importance of Push & Pull Factors in Entrepreneurial Selection for Tourismpreneur Kshitiz Sharma* Abstract Entrepreneurship is the key concept for development of any place, and tourism is another
More informationFuzzy Mathematical Approach for Selecting Candidate For Election by a Political Party
International Journal of Fuzzy Mathematics and Systems. ISSN 2248-9940 Volume 2, Number 3 (2012), pp. 315-322 Research India Publications http://www.ripublication.com Fuzzy Mathematical Approach for Selecting
More informationNEW PERSPECTIVES ON THE LAW & ECONOMICS OF ELECTIONS
NEW PERSPECTIVES ON THE LAW & ECONOMICS OF ELECTIONS! ASSA EARLY CAREER RESEARCH AWARD: PANEL B Richard Holden School of Economics UNSW Business School BACKDROP Long history of political actors seeking
More informationTest Bank for Economic Development. 12th Edition by Todaro and Smith
Test Bank for Economic Development 12th Edition by Todaro and Smith Link download full: https://digitalcontentmarket.org/download/test-bankfor-economic-development-12th-edition-by-todaro Chapter 2 Comparative
More informationThe Shadow Value of Legal Status --A Hedonic Analysis of the Earnings of U.S. Farm Workers 1
The Shadow Value of Legal Status --A Hedonic Analysis of the Earnings of U.S. Farm Workers 1 June, 3 rd, 2013 Sun Ling Wang 2 Economic Research Service, U.S. Department of Agriculture Daniel Carroll Employment
More informationImmigrant Legalization
Technical Appendices Immigrant Legalization Assessing the Labor Market Effects Laura Hill Magnus Lofstrom Joseph Hayes Contents Appendix A. Data from the 2003 New Immigrant Survey Appendix B. Measuring
More informationSequential Voting with Externalities: Herding in Social Networks
Sequential Voting with Externalities: Herding in Social Networks Noga Alon Moshe Babaioff Ron Karidi Ron Lavi Moshe Tennenholtz February 7, 01 Abstract We study sequential voting with two alternatives,
More informationarxiv: v2 [hep-ph] 24 Jul 2007
ÆĹÀ ȹÈʹ¼ ¹½¾ Ö Ú ¼ ¼ º¼¼¼½ ÐÙÐ Ø ÓÒ Ó ÔÖÓÑÔØ Ô ÓØÓÒ ÔÖÓ ÙØ ÓÒ ÖÓ Ø ÓÒ Ø Ì Ú ØÖÓÒ Ò ÄÀ Ò Ö º Ð Þ 1 º ĺ Ö Ö 1 Ⱥ Æ ÓÐ Ý 1 Ò º¹Èº Ù Ò 2 1 À Ò Ö Ý È Ý Ú ÓÒ Ö ÓÒÒ Æ Ø ÓÒ Ð Ä ÓÖ ØÓÖÝ Ö ÓÒÒ ÁÄ ¼ 2 Ô ÖØÑ ÒØ
More informationÁÒØÖÓ ÙØ ÓÒ Ì ÑÓ Ð À ÚÝ ÓÒ ÓÒØ ÒØ ÐÓÛ¹Ü ÓÒØ ÒØ ÁÒØÖÓ ÙØ ÓÒ ÐÓÛ¹Ü ÔÓÐ ÓÐÙØ ÓÒ ÁÒÐÙ Ú Ó ÖÚ Ð ØÓØ Ð ÖÓ Ø ÓÒ ÜÐÙ Ú ÒÓÒ¹ Ö Ø Ú Ó ÖÚ Ð Ú ÒØ Ò Ö ØÓÖ Æ Ï Ö Ø
ÁÒØÖÓ ÙØ ÓÒ Ì ÑÓ Ð À ÚÝ ÓÒ ÆÓÒ¹ Ö Ø Ú Ò Ö Ø Ú Ú ÒØ Ò Ö Ø ÓÒ ÖÓÑ ÔÓÐ Ö ØÓ Ö Ð Ò ÙÖ Ô ÖØÑ ÒØ Ó Ì ÓÖ Ø Ð È Ý ÄÙÒ ÍÒ Ú Ö ØÝ ÓÔ Ò Ò ½½ ÔÖ Ð ÏÓÖ ÓÒ Û Ø Ø ÙØ ÓÒ Ò Ä Ä ÒÒ Ð º ÁÈË ½ Ö ØÓ Ö Ð Ò ÙÖ ÄÙÒ ÍÒ Ú Ö ØÝ
More informationAn Integrated Tag Recommendation Algorithm Towards Weibo User Profiling
An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang and Wei Wang School of Computer Science Shanghai Key Laboratory of Data Science
More informationFDP Membership Standing Committee Minutes for January 26, 2011
FDP Membership Standing Committee Minutes for January 26, 2011 Washington, DC 1. Call to Order The meeting was called to order at 8:03 a.m. 2. Welcome and Introductions Maggie Griscavage and Joanna Rom,
More informationAristotle s Model of Communication (Devito, 1978)
COMMUNICATION MODELS Models- Definitions In social science research, a model is a tentative description of what a social process, say the communication process or a system might be like. It is a tool of
More informationImmigration and the Demographics of the United States
Immigration and the Demographics of the United States Number of immigrants entering the United States, 1820-1988 1400000 1200000 1000000 800000 600000 400000 200000 0 1820 1827 1834 1841 1 1848 8 1854
More informationIn Elections, Irrelevant Alternatives Provide Relevant Data
1 In Elections, Irrelevant Alternatives Provide Relevant Data Richard B. Darlington Cornell University Abstract The electoral criterion of independence of irrelevant alternatives (IIA) states that a voting
More information3. Public Choice in a Direct Democracy
3. Public in a Direct 4. Public in a 3. Public in a Direct I. Unanimity rule II. Optimal majority rule a) Choosing the optimal majority b) Simple majority as the optimal majority III. Majority rule a)
More informationPredicting the Irish Gay Marriage Referendum
DISCUSSION PAPER SERIES IZA DP No. 9570 Predicting the Irish Gay Marriage Referendum Nikos Askitas December 2015 Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Predicting the
More informationRetrospective Voting
Retrospective Voting Who Are Retrospective Voters and Does it Matter if the Incumbent President is Running Kaitlin Franks Senior Thesis In Economics Adviser: Richard Ball 4/30/2009 Abstract Prior literature
More informationECONOMIC CONSEQUENCES OF WAR: EVIDENCE FROM FIRM-LEVEL PANEL DATA
ECONOMIC CONSEQUENCES OF WAR: EVIDENCE FROM FIRM-LEVEL PANEL DATA Micheline Goedhuys Eleonora Nillesen Marina Tkalec September 25, 2018 Goedhuys et al., 2018 SmartEIZ Conference September 25, 2018 1 /
More informationLesson 2.3. Apportionment Models
DM02_Final.qxp:DM02.qxp 5/9/14 2:43 PM Page 72 Lesson 2.3 Apportionment Models The problem of dividing an estate fairly involves discrete objects, but also involves cash. When a fair division problem is
More informationMigrant Wages, Human Capital Accumulation and Return Migration
Migrant Wages, Human Capital Accumulation and Return Migration Jérôme Adda Christian Dustmann Joseph-Simon Görlach February 14, 2014 PRELIMINARY and VERY INCOMPLETE Abstract This paper analyses the wage
More informationEPI BRIEFING PAPER. Immigration and Wages Methodological advancements confirm modest gains for native workers. Executive summary
EPI BRIEFING PAPER Economic Policy Institute February 4, 2010 Briefing Paper #255 Immigration and Wages Methodological advancements confirm modest gains for native workers By Heidi Shierholz Executive
More informationSubmission to the Productivity Commission inquiry on the draft report on a possible transition to a low emissions economy
Submission to the Productivity Commission inquiry on the draft report on a possible transition to a low emissions economy Michael Reddell 7 June 2018 1. This submission is in response to the Commission
More informationThe Analytics of the Wage Effect of Immigration. George J. Borjas Harvard University September 2009
The Analytics of the Wage Effect of Immigration George J. Borjas Harvard University September 2009 1. The question Do immigrants alter the employment opportunities of native workers? After World War I,
More informationCS 5523: Operating Systems
Lecture1: OS Overview CS 5523: Operating Systems Instructor: Dr Tongping Liu Midterm Exam: Oct 2, 2017, Monday 7:20pm 8:45pm Operating System: what is it?! Evolution of Computer Systems and OS Concepts
More informationHome Ownership. Mamak Ashtari Alexander Basilia Chien-Ting Chen Ashish Markanday Santosh
Home Ownership Mamak Ashtari Alexander Basilia Chien-Ting Chen Ashish Markanday Santosh 1 Objective Objective: What variables distinguish homeowners from non - homeowners Research questions: -What variables
More informationFull file at
Chapter 2 Comparative Economic Development Key Concepts In the new edition, Chapter 2 serves to further examine the extreme contrasts not only between developed and developing countries, but also between
More informationEnhancing STEM Learning in Your K-8 Classroom
Enhancing STEM Learning in Your K-8 Classroom Alice A. Christie, Ph.D. Veteran Educator Arizona State University President s Professor Emeritus Day 2 Overview Ø Questioning Techniques Ø Challenges Ø STEAM
More informationPersonality and Individual Differences
Personality and Individual Differences 46 (2009) 14 19 Contents lists available at ScienceDirect Personality and Individual Differences journal homepage: www.elsevier.com/locate/paid Is high self-esteem
More informationU.S. Foreign Policy: The Puzzle of War
U.S. Foreign Policy: The Puzzle of War Branislav L. Slantchev Department of Political Science, University of California, San Diego Last updated: January 15, 2016 It is common knowledge that war is perhaps
More informationFastBridge Math Assessments
FastBridge Math Assessments Screening Ø Types of math skills Ø How FastBridge tools measure math skills ü Screening ü Progress Monitoring Ø Activity: selecting math progress measures for specific student
More informationarxiv:hep-ph/ v1 14 Sep 2000
For Publisher s use PRECISION MEASUREMENTS, EXTRA GENERATIONS AND HEAVY NEUTRINO arxiv:hep-ph/0009167v1 14 Sep 2000 V.A. ILYIN 1, M. MALTONI 2, V.A. NOVIKOV 3, L.B. OKUN 3, A.N. ROZANOV 3,4 AND M.I. VYSOTSKY
More informationTeen Action and Growth Developing 4-H Teen Leaders for our club, community, country and world
Divine Guidance Do we need any help from above? Players: Guardian Parli Guardian Pro Guardian Oklahoma 4-H Youth Development Teen Action and Growth Developing 4-H Teen Leaders for our club, community,
More informationDATA ANALYSIS USING SETUPS AND SPSS: AMERICAN VOTING BEHAVIOR IN PRESIDENTIAL ELECTIONS
Poli 300 Handout B N. R. Miller DATA ANALYSIS USING SETUPS AND SPSS: AMERICAN VOTING BEHAVIOR IN IDENTIAL ELECTIONS 1972-2004 The original SETUPS: AMERICAN VOTING BEHAVIOR IN IDENTIAL ELECTIONS 1972-1992
More informationPork Barrel as a Signaling Tool: The Case of US Environmental Policy
Pork Barrel as a Signaling Tool: The Case of US Environmental Policy Grantham Research Institute and LSE Cities, London School of Economics IAERE February 2016 Research question Is signaling a driving
More informationExaminers Report June GCE History 6HI03 C
Examiners Report June 2014 GCE History 6HI03 C Edexcel and BTEC Qualifications Edexcel and BTEC qualifications come from Pearson, the UK s largest awarding body. We provide a wide range of qualifications
More informationFrom The Collected Works of Milton Friedman, compiled and edited by Robert Leeson and Charles G. Palm.
The Political Clout of the Elderly. San Francisco, California: Pacific Research Institute for Public Policy, 1988. Luncheon address at the national forum, Social Security 2010: Making the System Work Today
More informationAPPENDIX TWO-SAMPLE TORTS EXAM PART TWO: FIFTY MINUTES. This question has two subparts. Your answers to the two subparts may be of unequal length.
APPENDIX TWO-SAMPLE TORTS EXAM PART TWO: FIFTY MINUTES This question has two subparts. Your answers to the two subparts may be of unequal length. Your client is a large chemical company in Louisiana. During
More information