mainNumerical Cosmology - NumCosmo - Summary

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Id: #11017
System Name: numcosmo
Name: Numerical Cosmology - NumCosmo
Group Type: non-GNU software and documentation

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This project is not part of the GNU Project.

The NumCosmo is a free software C library whose main purposes are to test cosmological models using observational data and to provide a set of tools to perform cosmological calculations. Particularly, the current version has implemented three different probes: cosmic microwave background (CMB),supernovae type Ia (SNeIa) and large scale structure (LSS) information, such as baryonic acoustic oscillations (BAO) and galaxy cluster abundance. The code supports a joint analysis of these data and the parameter space can include cosmological and phenomenological parameters. It is worth emphasizing that NumCosmo matter power spectrum and CMB codes were written independently of other implementations such as CMBFAST, CAMB, etc.

The library is structured in such way to simplify the inclusion of non-standard cosmological models. Besides the functions related to cosmological quantities, this library also implements mathematical and statistical tools. The former was developed to enable the inclusion of other probes and/or theoretical models and to optimize the codes. The statistical framework comprises algorithms which define likelihood functions, minimization, Monte Carlo, Fisher Matrix and profile likelihood methods.

Registration Date: Tue Jun 12 23:08:53 2012
License: GNU General Public License v3 or later
Development Status: 4 - Beta


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New release 0.9.0-4
     posted by vitenti, Fri May 17 16:13:16 2013 - 0 replies

- New cluster abundance examples in both C and Python, check it in [ ].
- Improved some sanity checks, work in progress.
- Split lapack and clapack detection in configure.
- Darkenergy now can use any model. ...

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Namespace Splitting and Improvements
     posted by vitenti, Sun Dec 23 00:53:57 2012 - 0 replies

The namespace of the library were split in NumCosmo and NumCosmoMath. All general purpose mathematical and statistical functions/objects are in the NumCosmoMath (Ncm) namespace and all cosmological functions/objects in NumCosmo (Nc).

The make ...

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     posted by pennalima, Fri Dec 21 18:24:04 2012 - 0 replies

Distance posteriors from WMAP9 data were implemented. For details see (table 11).

New example: Confidence regions.
     posted by vitenti, Thu Dec 13 13:55:11 2012 - 0 replies

Added a new example to the homepage: ( ).
In this example we show how to calculate the confidence region of two parameters using the Likelihood Ratio object ( ), using both the likelihood ratio test and the Fisher matrix.

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