Page History

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From Analia: "Analia Cillis wrote a python script to produce TS contour (confidence levels) plots in the parameter space. A first fit is generated using python likelihood, and the values of the model parameters are obtained along with the log likelihood value. Afterwards, the procedure to obtain the boundaries of the TS contour map in the parameter space consists in the following:

• One parameter is stepped (to the right and left side of the value obtained with the first fit). For each of these new values, which now are fixed, python likelihood is run again to produce a new fit until (eventually) a new maximum of log likelihood is found.
• From this new maximum and assuming a Chi2 distribution the value of this parameter is obtained until a given of confidence level. The same procedure is done for the second parameter.
• After the boundaries in both parameters are obtained, python likelihood runs several times in a nxn grid (with the boundaries obtained in the previous step) with the first and second parameter fixed.
• Finally the contour plot is produced with parameter 1 in x-axis, parameter 2 in y-axis and confidence levels in z-axis. This procedure may be repeated for each pair of parameter."

GRB tools

No news

Pulsar tools

Wiki MarkupFrom Masa: "In the pulsar tools development area, we finished revising the Workbook tutorials for the latest versions of the pulsar analysis tools. Then, we started detailed design and implementation of A4 tool \ [blind periodicity search] last week. My hope is to make it work soon and run it with DC2 data (or something equivalent) to see how realistic the tool is with typical GLAST observations."

Observation simulation

Max has implemented the correct specification of MJDREF (expressing it as the TT version of midnight Jan. 1, 2001) in PulsarSpectrum (v2r1p2). I do not know yet for sure whether this has been cross checked for consistency with the current versions of the pulsar tools.

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