A new result on space-time variation of alpha – Part C John Webb, School of Physics, University of New South Wales, Australia Group members as per Michael.

Slides:



Advertisements
Similar presentations
Multiple Analysis of Variance – MANOVA
Advertisements

Computational Statistics. Basic ideas  Predict values that are hard to measure irl, by using co-variables (other properties from the same measurement.
P1.5.4 Red-shift AQA GCSE Science A. There are two main pieces of evidence for the Big Bang: 1.The expansion of the universe 2. Cosmic microwave background.
Extracting a SN spectrum from EMMI Thank you Sandro (and Hans, Jean-Louis, Gianni and the EMMI team)
Prospects for the Planck Satellite: limiting the Hubble Parameter by SZE/X-ray Distance Technique R. Holanda & J. A. S. Lima (IAG-USP) I Workshop “Challenges.
Data preprocessing before classification In Kennedy et al.: “Solving data mining problems”
Analysis. Start with describing the features you see in the data.
Analysis of an 18 O and D enhanced lab water spectrum using variational calculations of HD 18 O and D 2 18 O spectra Michael J Down - University College.
TeV blazars and their distance E. Prandini, Padova University & INFN G. Bonnoli, L. Maraschi, M. Mariotti and F. Tavecchio Cosmic Radiation Fields - Sources.
A new result on space- time variation of α – part B Julian King (UNSW) Collaborators: John Webb (UNSW), Victor Flambaum (UNSW) Michael Murphy (Swinburne)
Does the fine structure constant vary?: A detailed investigation into systematic errors With: Chris Churchill (PSU) Victor Flambaum (UNSW) Jason Prochaska.
Software Quality Control Methods. Introduction Quality control methods have received a world wide surge of interest within the past couple of decades.
Hypothesis Testing After 2 hours of frustration trying to fill out an IRS form, you are skeptical about the IRS claim that the form takes 15 minutes on.
Cosmic Variation of the Fine Structure Constant Does the fine-structure constant vary with cosmological epoch? John Bahcall, Charles Steinhardt, and David.
Biol 500: basic statistics
Chemometrics Method comparison
Search for the Gravitational Wave Memory effect with the Parkes Pulsar Timing Array Jingbo Wang 1,2,3, Hobbs George 3, Dick Manchester 3, Na Wang 1,4 1.
8/15/2015Slide 1 The only legitimate mathematical operation that we can use with a variable that we treat as categorical is to count the number of cases.
Supernovae and scale of the universe. SN Ia have extremely uniform light curves → standard candles!
CENTRE FOR INNOVATION, RESEARCH AND COMPETENCE IN THE LEARNING ECONOMY Session 2: Basic techniques for innovation data analysis. Part I: Statistical inferences.
Initial Data Analysis Central Tendency. Notation  When we describe a set of data corresponding to the values of some variable, we will refer to that.
SNLS : Spectroscopy of Supernovae with the VLT (status) Grégory Sainton LPNHE, CNRS/in2p3 University Paris VI & VII Paris, France On behalf of the SNLS.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Rudi Seljak, Metka Zaletel Statistical Office of the Republic of Slovenia TAX DATA AS A MEANS FOR THE ESSENTIAL REDUCTION OF THE SHORT-TERM SURVEYS RESPONSE.
Chem. 31 – 9/23 Lecture Guest Lecture Dr. Roy Dixon.
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
L. Perivolaropoulos Department of Physics University of Ioannina Open page.
Subaru HDS Transmission Spectroscopy of the Transiting Extrasolar Planet HD b The University of Tokyo Norio Narita collaborators Yasushi Suto, Joshua.
When trying to explain some of the patterns you have observed in your species and community data, it sometimes helps to have a look at relationships between.
We calculated a t-test for 30,000 genes at once How do we handle results, present data and results Normalization of the data as a mean of removing.
Cluster photoemission Aug 24, 2011.
Summary Five numbers summary, percentiles, mean Box plot, modified box plot Robust statistic – mean, median, trimmed mean outlier Measures of variability.
PHY306 1 Modern cosmology 4: The cosmic microwave background Expectations Experiments: from COBE to Planck  COBE  ground-based experiments  WMAP  Planck.
SDSS photo-z with model templates. Photo-z Estimate redshift (+ physical parameters) –Colors are special „projection” of spectra, like PCA.
Correlation & Regression Chapter 15. Correlation It is a statistical technique that is used to measure and describe a relationship between two variables.
A possible dipole in the laws of physics: How ALMA can help John Webb, School of Physics, University of New South Wales, Australia UNSW team: Matthew Bainbridge.
Yousuke Itoh GWDAW8 UW Milwaukee USA December 2003 A large value of the detection statistic indicates a candidate signal at the frequency and.
FSI and Mw(qqqq) 1 FSI and Mw(qqqq) Marie Legendre, Djamel Boumediene, Patrice Perez, Oliver Buchmüller … an alternative approach … PFCUT and PCUT update.
Lecture 07: Dealing with Big Data
Looking for trees in the forest LION, BM Seminar 5 June 2008 Ruth Buning (LCVU, Amsterdam) Wim Ubachs (LCVU, Amsterdam) Michael Murphy (Swinburne University,
The University of Tokyo Norio Narita
2 How to use the seven tools of quality Tools for identifying problems / collecting data Check sheets Scatter diagrams Statistical process control (SPC)
ISMS-Conference Champaign-Urbana, 19 June 2014 Wim Ubachs VU University Amsterdam VLT PDA-XUV High-resolution molecular spectroscopy of H 2 at 10% the.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Chapter 10 Correlation and Regression 10-2 Correlation 10-3 Regression.
ANOVA, Regression and Multiple Regression March
Statistical Data Analysis 2010/2011 M. de Gunst Lecture 9.
Light Elements (Li and Be) in Globular Clusters L. Pasquini, ESO  Li in Turn-Off (or close to TO)  Li in evolved stars  A new result..  Be in TO stars.
Seeing the trees in the forest Group meeting 10 December 2007 Ruth Buning, Wim Ubachs, Michael Murphy, Lex Kaper.
GIRAFFE (VLT): A new tool for exoplanets preparatory observations and follow-up Benoît Loeillet (LAM), François Bouchy, Magali Deleuil, Claire Moutou,
Ultra-Deep Spectroscopy of Lyman Break Galaxies at z~6 Elizabeth Stanway University of Bristol (ex-UW Madison) Also: Andy Bunker, Karl Glazebrook, Richard.
1 Chapter 11 Understanding Randomness. 2 Why Random? What is it about chance outcomes being random that makes random selection seem fair? Two things:
Independent Samples ANOVA. Outline of Today’s Discussion 1.Independent Samples ANOVA: A Conceptual Introduction 2.The Equal Variance Assumption 3.Cumulative.
Slide 7.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
Chem. 31 – 6/13 Lecture. Announcements I Pipet and Buret Calibration Lab Report Due Quiz and Homework Returned in Lab Exam 1 on Thursday –Will cover material.
Last lecture summary Five numbers summary, percentiles, mean Box plot, modified box plot Robust statistic – mean, median, trimmed mean outlier Measures.
STA248 week 121 Bootstrap Test for Pairs of Means of a Non-Normal Population – small samples Suppose X 1, …, X n are iid from some distribution independent.
Looking for trees in the forest Diavolezza meeting feb Ruth Buning (LCVU, Amsterdam) Wim Ubachs (LCVU, Amsterdam) Michael Murphy (Swinburne University,
The Constancy of Constants. Dirac’s Large Number Hypothesis “A New Basis for Cosmology” Proceedings of the Royal Society of London, A165, 199 (1938) Ratio.
23 Jan 2012 Background shape estimates using sidebands Paul Dauncey G. Davies, D. Futyan, J. Hays, M. Jarvis, M. Kenzie, C. Seez, J. Virdee, N. Wardle.
Monitoring Energy Gains Using the Double and Single Arm Compton Processes Yelena Prok PrimEx Collaboration Meeting March 18, 2006.
Referee Report on Open charm production results for summer conferences, 2010 Peter Clarke Marcel Merk “Observations” and “Comments” The referees thank.
Travelling to School.
Break and Noise Variance
(Y. Itoh, M.A.Papa,B.Krishnan-AEI, X. Siemens –UWM
Adjustment of Temperature Trends In Landstations After Homogenization ATTILAH Uriah Heat Unavoidably Remaining Inaccuracies After Homogenization Heedfully.
Reasoning in Psychology Using Statistics
Regression Forecasting and Model Building
Ensemble forecasts and seasonal precipitation tercile probabilities
The University of Tokyo Norio Narita
Presentation transcript:

A new result on space-time variation of alpha – Part C John Webb, School of Physics, University of New South Wales, Australia Group members as per Michael Murphy’s first slide

What are the key points which collectively suggest this result might be cosmological and not due to systematics? Two interesting internal consistencies: 1Keck and VLT dipole positions agree (although errors fairly large). Independent samples, different data reduction procedures, different instruments and telescopes. 2High and low redshift dipole sky positions (using combined dataset) also agree - perhaps even more compelling because different species are used at low and high redshift – and different transitions respond differently to the same change in  And an interesting robustness indication: 3Rather than increasing the statistical error bars to force    = 1, we can instead iteratively trim the individual  /  points relative to the dipole model. How much do we have to trim to destroy the result?

Highly exaggerated illustration of how transitions shift in different directions by different amounts – unique pattern

Are a few high S/N outliers responsible for the signal, by chance? Alternative to growing error bars Robustness check – iterative trimming Adopt statistical-only errors and iteratively clip most deviant point How much data do we need to discard to remove the dipole and time dependence?     reached when ~10% clipped Dipole significance ~7  at      Dipole significance stays above 4  until ~50% of data discarded     reached when ~10% clipped Linear time fit significance ~5  at      Linear time fit significance stays above 4  until ~40% of data discarded

Can we nevertheless find a systematic which can reproduce these? Two approaches: 1)Identify all the systematics one can possibly think of and quantify them one by one 2)Find a purely empirical approach which in principle measures both known and unknown simultaneously

Alignment of quasar image on the spectrograph slit GoodOkNot niceNasty

[Å] Time [Å] Time HIRES: Single arm, single chip (pre-Aug.'04) UVES: Dual-arm, 3 chips VLT/UVES vs. Keck/HIRES:

[Å] Time [Å] Time HIRES: Single arm, single chip (pre-Aug.'04) UVES: Dual-arm, 3 chips VLT/UVES vs. Keck/HIRES: Molaro et al. (A&A, 2008): UVES slits well aligned

[Å] Time [Å] Time HIRES: Visitor mode, follow object with ThAr UVES: Service mode, ThAr at end of night Obj. Cal. Obj. Cal. Obj. Cal. VLT/UVES vs. Keck/HIRES:

To Earth Quasar Keck VLT 7 quasars observed on both Keck and VLT – a direct test of combined systematics

Comparing  /  for 14 absorption systems observed with both Keck and VLT

Pairs of quasar observations on both Keck and VLT

~800 measurements, 7 quasar spectra observed on both Keck and VLT

Same as previous plot but binned

Implementing the dv test No systematic – standard laboratory frequencies: Worst-case systematic – Modify the laboratory frequency:

With dv systematic No dv systematic applied Before and after

Conclusions The “raw” data might now be indicating both time and space variation of alpha. The quasar pair test results represent an upper limit on any effect. They do not provide a "correction” to the raw results. We do not expect this in the sample as a whole. Nevertheless, if we do impose such an extreme effect on the whole raw dataset, it does not generate a solution in which  is constant. Further, imposing the effect slightly diminishes the previous internal consistency in the data, as would be expected if the dipole is real. Specifically, the significance of the dipole reduces (although still remains fairly significant) and we then also require a more significant monopole term (which may seem "unphysical"). Finally, we have so far been unable to find a way of explaining the results in terms of any known (or even unknown) systematics.

Further work Need completely independent check. Meanwhile, continue with quasar spectroscopy – will double the existing sample within ~3 years Also targeted observations: Need more duplicate observations on both Keck and VLT Also really need more H 2 absorption systems. Other combinations of lines, e.g. HI 21cm + neutral.