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 ['allPSRs_masslims.pdf'], (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> 'p21to42'<br> 'p42to85'<br> 'p85to170'<br> 'p170to340'<br> 'p340to390'<br> 'p390to780'<br> 'p780to1560'<br> 'p1560to3120'</p> <p>In each of the $period-bin folders, there is:<br> - a plot of linearised mass posterior: 'all_masses_linprior.pdf'<br> - a masslim_werr_linprior.npy file containing values, in order, for:<br> [mPeriod(days) sPeriod(days) Masslimit(Me) errMasslimit(Me) Detection(3sigma)]<br> -- where the period range is [mPeriod-sPeriod, mPeriod+sPeriod]<br> -- Masslimit is the value of the mass limit, in Earth masses for that period bin<br> -- errMasslimit is NOT a complete uncertainty, but just due to binning the posterior,<br> and should not be used for anything except checking the binning is appropriate<br> -- Detection is whether our analysis flagged a detection, i.e. whether mean > 3*sigma<br> 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