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View Code? Open in Web Editor NEWProbing the complementarity of several targets used in Direct Detection Experiments for Dark Matter
License: MIT License
Probing the complementarity of several targets used in Direct Detection Experiments for Dark Matter
License: MIT License
Ultranest might be another interesting sampler to add to the current list of samplers:
https://johannesbuchner.github.io/UltraNest/index.html
The saving of emcee/nested files is convoluted and should be performed in a simpler way
We are doing some hacking commands to refer to verne as a python script rather than a package
Not doing this caused issues like #38
We ran into some parsing issues from PyMultinest due to some of the test requiring only a single iteration. For some reason PyMultinest doesn't like this because of number being written as 0.69-300
which is hard to parse.
To kind of ignore the issue, I've added a statement around the Analyzer here:
https://github.com/jorana/DirectDmTargets/blob/9223717d5abaea62ae424f7def1b882ac0e19ec4/DirectDmTargets/nested_sampling.py#L707
Numba is great to speed up things even if the implementation is naive
At the moment, we calculate the rates even if they are below threshold (https://github.com/jorana/DirectDmTargets/blob/master/DirectDmTargets/detector.py#L432).
However this is a waste of computing time. E.g. if the calculation uses a spectrum between [0,10] keV and the threshold is at 1 keV we are needlessly calculating 10% of the spectra. As the spectra are quite steep near these low energies, it could well be that the computational gain of doing this smarted may be substantially more than 10%.
Try implementing http://johannesbuchner.github.io/PyMultiNest/pymultinest.html#using-pymultinest-with-mpi might speed up calculations involving multinetst,
It was discovered that due to valueerrors raised during the likelihood evaluation, this caused issue #33 to arrise. The traceback is quite non-informative
Negative rates are nonphysical and cause problems later in the chain. Therefore, we are capping the rates to postive values here:
https://github.com/jorana/DirectDmTargets/blob/111f0e0a5b316f2a5be0d0bd144837b30e654f38/DirectDmTargets/statistics.py#L638
For example, the sniplet below causes negative rates.
energies = np.linspace(0.1, 3.5, 10) * nu.keV
Shield_SHM = dddm.VerneSHM(location="XENON",
log_mass=-5.06863087e-01,
log_cross_section=-3.23810744e+01,
v_0=2.33211211e+02,
v_esc=5.42044480e+02,
rho_dm=5.72576689e-01)
dr = wr.rate_migdal(energies,
1 * nu.GeV / nu.c0 ** 2,
1e-35 * nu.cm ** 2,
halo_model = Shield_SHM)
Make a proper class of the context instead of a giant dict.
Despite best efforts, the calculations are slow, we need to speed up
Hi, users are unable to run dddm due to dependency conflict with numpy package.
As shown in the full dependency graph of dddm, dddm(at level 0) requires numpy (the latest version), while numba(at level 1) requires numpy (<1.23,>=1.18).
According to pip’s "first found wins" installation strategy, numpy==1.23.1 is the actually installed version. However, numpy==1.23.1 does not satisfy numpy (<1.23,>=1.18).
dddm-4.0.0
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1.Change your direct dependency numpy [the latest version] to be numpy [<=1.23.0rc3].
2.Remove your direct dependency numpy [the latest version], and use numpy transitively introduced by numba.
3.Upgrade or downgrade your direct dependency numba to transitively introduce a compatible version of numpy.
With template morphing, we can get a great speed improvement of the code by interpolating between spectra (and also get more reliable results).
The coverage is at ~60%, let's bring this up to a higher standard
Construct a class for the result (either MCMC or nestle/multinest). This makes parsing much easier.
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