The AstroStat Slog » GL http://hea-www.harvard.edu/AstroStat/slog Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 09 Sep 2011 17:05:33 +0000 en-US hourly 1 http://wordpress.org/?v=3.4 [ArXiv] 2nd week, May 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-2nd-week-may-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-2nd-week-may-2008/#comments Mon, 19 May 2008 14:42:56 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=306 There’s no particular opening remark this week. Only I have profound curiosity about jackknife tests in [astro-ph:0805.1994]. Including this paper, a few deserve separate discussions from a statistical point of view that shall be posted.

  • [astro-ph:0805.1290]R. Barnard, L. Shaw Greening, U. Kolb
    A multi-coloured survey of NGC 253 with XMM-Newton: testing the methods used for creating luminosity functions from low-count data

  • [astro-ph:0805.1469] Philip J. Marshall et al.
    Automated detection of galaxy-scale gravitational lenses in high resolution imaging data

  • [astro-ph:0805.1470] E. P. Kontar, E. Dickson, J. Kasparova
    Low-energy cutoffs and in electron spectra of solar flares: statistical survey (It is not statistically rigorous but the topic can be connected to dip tests or gap tests in statistics)

  • [astro-ph:0805.1936] J. Yee & B. Gaudi
    Characterizing Long-Period Transiting Planets Observed by Kepler (discusses uncertainty in light curves and Fisher matrix)

  • [astro-ph:0805.1994] the QUad collaboration: C. Pryke et al.
    Second and third season QUaD CMB temperature and polarization power spectra (What is jackknife tests? A brief scan of the paper does not register with my understanding of jackknifing. It looks more close to cross validation. Another slog topic shall come: bootstrap, cross validation, jackknife, and resampling.)

  • [astro-ph:0805.2121] N. Cole et al.
    Maximum Likelihood Fitting of Tidal Streams With Application to the Sagittarius Dwarf Tidal Tails

  • [astro-ph:0805.2155] J Yoo & M Zaldarriaga
    Improved estimation of cluster mass profiles from the cosmic microwave background

  • [astro-ph:0805.2207] A.Vikhlinin et al.
    Chandra Cluster Cosmology Project II: Samples and X-ray Data Reduction (it mentions calibration uncertainty and background, can it be a reference to stacking, coadding, source detection, etc?)

  • [astro-ph:0805.2325] J.M. Loh
    A valid and fast spatial bootstrap for correlation functions

  • [astro-ph:0805.2326] T. Wickramasinghe, M. Struble, J. Nieusma
    Observed Bimodality of the Einstein Crossing Times of Galactic Microlensing Events
]]> http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-2nd-week-may-2008/feed/ 0 [ArXiv] 1st week, May 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-may-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-may-2008/#comments Mon, 12 May 2008 02:42:54 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=298 I think I have to review spatial statistics in astronomy, focusing on tessellation (void structure), point process (expanding 2 (3) point correlation function), and marked point process (spatial distribution of hardness ratios of X-ray distant sources, different types of galaxies -not only morphological differences but other marks such as absolute magnitudes and existence of particular features). When? Someday…

In addition to Bayesian methodologies, like this week’s astro-ph, studies on characterizing empirical spatial distributions of voids and galaxies frequently appear, which I believe can be enriched further with the ideas from stochastic geometry and spatial statistics. Click for what was appeared in arXiv this week.

  • [astro-ph:0805.0156]R. D’Abrusco, G. Longo, N. A. Walton
    Quasar candidates selection in the Virtual Observatory era

  • [astro-ph:0805.0201] S. Vegetti& L.V.E. Koopmans
    Bayesian Strong Gravitational-Lens Modelling on Adaptive Grids: Objective Detection of Mass Substructure in Galaxies (many like to see this paper: nest sampling implemented, discusses penalty function and tessllation)

  • [astro-ph:0805.0238] J. A. Carter et al.
    Analytic Approximations for Transit Light Curve Observables, Uncertainties, and Covariances

  • [astro-ph:0805.0269] S.M.Leach et al.
    Component separation methods for the Planck mission

  • [astro-ph:0805.0276] M. Grossi et al.
    The mass density field in simulated non-Gaussian scenarios

  • [astro-ph:0805.0790] Ceccarelli, Padilla, & Lambas
    Large-scale modulation of star formation in void walls
    [astro-ph:0805.0797] Ceccarelli et al.
    Voids in the 2dFGRS and LCDM simulations: spatial and dynamical properties

  • [astro-ph:0805.0875] S. Basilakos and L. Perivolaropoulos
    Testing GRBs as Standard Candles

  • [astro-ph:0805.0968] A. A. Stanislavsky et al.
    Statistical Modeling of Solar Flare Activity from Empirical Time Series of Soft X-ray Solar Emission
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