Geometric biases in power-spectrum measurements

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Geometric biases in power-spectrum measurements

The observed distribution of galaxies has local transverse isotropy around the line of sight (LOS) with respect to the observer. The difference in the statistical clustering signal along and across the LOS encodes important information about the geometry of the Universe, its expansion rate and the rate of growth of structure within it. Because the LOS varies across a survey, the standard fast F...

متن کامل

Biases and Power for Groups Comparison on Subjective Health Measurements

Subjective health measurements are increasingly used in clinical research, particularly for patient groups comparisons. Two main types of analytical strategies can be used for such data: so-called classical test theory (CTT), relying on observed scores and models coming from Item Response Theory (IRT) relying on a response model relating the items responses to a latent parameter, often called l...

متن کامل

Uncorrelated Measurements of the Cmb Power Spectrum

will be uncorrelated, since 〈ĉĉ〉 − 〈ĉ〉〈ĉ〉 = I. 〈ĉ〉 = Mc, so the new window function matrix will be M. However, whereas the window functions of the original power estimates (the rows of F) are always well-behaved (they are always non-negative, and are generally quite narrow, as shown in the top panel of Figure 1), there is no guarantee that the same will hold for the new window functions. As was...

متن کامل

Sampling Biases in IP Topology Measurements

Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led some to conclude that the router graph of the Internet is well modeled as a power-law random graph. In such a graph, the degree distribution of nodes follows a distribution with a power-law tail. We argue that the evidence...

متن کامل

' & $ % Information Geometric Measurements of Generalisation Information Geometric Measurements of Generalisation

Neural networks can be regarded as statistical models, and can be analysed in a Bayesian framework. Generalisation is measured by the performance on independent test data drawn from the same distribution as the training data. Such performance can be quantiied by the posterior average of the information divergence between the true and the model distributions. Averaging over the Bayesian posterio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Monthly Notices of the Royal Astronomical Society

سال: 2015

ISSN: 0035-8711,1365-2966

DOI: 10.1093/mnras/stv1568