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A search for planetary companions around 800 pulsars from the Jodrell Bank pulsar timing programme

<p>####### Nitu et al 2022 #######<br> #### Supplementary material ####</p> <p>This folder contains the summarised mass limits plots [&#39;allPSRs_masslims.pdf&#39;], (linearised) mass posterior distributions, as well as the 95% mass limit, for each period bin of each pulsar.</p> <p>In each $PSR folder there are 9 $period-bin folders,<br> corresponding to the ranges in Table 1 of Nitu et al (2022) as follows:<br> &#39;p21to42&#39;<br> &#39;p42to85&#39;<br> &#39;p85to170&#39;<br> &#39;p170to340&#39;<br> &#39;p340to390&#39;<br> &#39;p390to780&#39;<br> &#39;p780to1560&#39;<br> &#39;p1560to3120&#39;</p> <p>In each of the $period-bin folders, there is:<br> - a plot of linearised mass posterior: &#39;all_masses_linprior.pdf&#39;<br> - a masslim_werr_linprior.npy file containing values, in order, for:<br> &nbsp;&nbsp; &nbsp;[mPeriod(days) sPeriod(days) Masslimit(Me) errMasslimit(Me) Detection(3sigma)]<br> &nbsp;&nbsp; &nbsp;-- where the period range is [mPeriod-sPeriod, mPeriod+sPeriod]<br> &nbsp;&nbsp; &nbsp;-- Masslimit is the value of the mass limit, in Earth masses for that period bin<br> &nbsp;&nbsp; &nbsp;-- errMasslimit is NOT a complete uncertainty, but just due to binning the posterior,<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; and should not be used for anything except checking the binning is appropriate<br> &nbsp;&nbsp; &nbsp;-- Detection is whether our analysis flagged a detection, i.e. whether mean &gt; 3*sigma<br> &nbsp;&nbsp; &nbsp;Note: to read .npy files, use numpy.load(filename) in python<br> - [not all] a masslim_linprior.txt with the same information as the .npy file</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0