Make way for the sabbatical
3 months ago
Astronomy, science, technology, whimsy. Not necessarily in that order.
The development version of ipython recently added a "notebook" interface mode. This resembles the interface of MAPLE or Mathematica, in which you can intermingle blocks of formatted text, blocks of code and output, and plots. My feeling, after working with it for a bit, is that it is very well suited to the kind of work I do when (for example) writing blog posts demonstrating some algorithm. For developing actual reusable software, not so much.![]() |
| Simulated time series |
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| Figure 4 from the paper: residuals and spectrum |
Pulsar timing analysis in the presence of correlated noiseI'd like to look at it in more detail and try some of the techniques on test data.
Pulsar timing observations are usually analysed with least-square-fitting procedures under the assumption that the timing residuals are uncorrelated (statistically "white"). Pulsar observers are well aware that this assumption often breaks down and causes severe errors in estimating the parameters of the timing model and their uncertainties. Ad hoc methods for minimizing these errors have been developed, but we show that they are far from optimal. Compensation for temporal correlation can be done optimally if the covariance matrix of the residuals is known using a linear transformation that whitens both the residuals and the timing model. We adopt a transformation based on the Cholesky decomposition of the covariance matrix, but the transformation is not unique. We show how to estimate the covariance matrix with sufficient accuracy to optimize the pulsar timing analysis. We also show how to apply this procedure to estimate the spectrum of any time series with a steep red power-law spectrum, including those with irregular sampling and variable error bars, which are otherwise very difficult to analyse.

Longer-Baseline Telescopes Using Quantum Repeaters
Daniel Gottesman, Thomas Jennewein, Sarah Croke
We present an approach to building interferometric telescopes using ideas of quantum information. Current optical interferometers have limited baseline lengths, and thus limited resolution, because of noise and loss of signal due to the transmission of photons between the telescopes. The technology of quantum repeaters has the potential to eliminate this limit, allowing in principle interferometers with arbitrarily long baselines.