Metadata-Version: 1.1
Name: UFalcon
Version: 0.2.0
Summary: Ultra Fast Lightcone
Home-page: https://cosmo-docs.phys.ethz.ch/UFalcon
Author: Raphael Sgier
Author-email: rsgier@phys.ethz.ch
License: MIT Licence
Description: ==============================================
        UFalcon (Ultra Fast Lightcone) - Version 0.2.0
        ==============================================
        
        .. image:: https://cosmo-gitlab.phys.ethz.ch/cosmo_public/UFalcon/badges/master/coverage.svg
                :target: https://cosmo-gitlab.phys.ethz.ch/cosmo_public/UFalcon
        
        .. image:: https://cosmo-gitlab.phys.ethz.ch/cosmo_public/UFalcon/badges/master/pipeline.svg
                :target: https://cosmo-gitlab.phys.ethz.ch/cosmo_public/UFalcon
        
        .. image:: http://img.shields.io/badge/arXiv-1801.05745-orange.svg?style=flat
                :target: https://arxiv.org/abs/1801.05745
        
        Package for constructing full-sky weak lensing maps from lightcones based on N-Body simulation output within a minimal runtime. Written in Python 3.
        
        Introduced in `Sgier et al. 2019 <https://iopscience.iop.org/article/10.1088/1475-7516/2019/01/044>`_ and extended in Sgier et al. 2020 (in prep.).
        
        Why use UFalcon?
        ================
        
        In order to accurately infer cosmological constraints from current and future weak lensing data, a large ensemble of survey simulations are required to model cosmological observables
        and a well-converged covariance matrix. UFalcon applied to PKDGRAV3-output combines accuracy and minimal computational runtime: The simulation of the density field guarantees to satisfy a certain force accuracy and is therefore not an approximate N-Body code. Furthermore, the PKDGRAV3 code is highly efficient and can be run with graphics processing units (GPU) support. The subsequent post-processing with UFalcon can be parallelized on a computer cluster and has a runtime of less than 30 min walltime per convergence mass map. The package offers a high flexibility for the lightcone construction, such as user-specific redshift ranges, redshift distributions and single-source redshifts. Furthermore, UFalcon offers the possibility to compute the galaxy intrinsic alignment signal, which can be treated as an additive component to the cosmological signal.
        
        Features
        ========
        
        * Fast computation of fullsky Healpix maps (`Gorski et al. 2005 <https://iopscience.iop.org/article/10.1086/427976>`_) containing particle counts (shells).
        * Fast construction of weak lensing maps (convergence, shear) for user-specific redshift distributions and single-source redshifts.
        * Computation of galaxy intrinsic alignment (IA) signal (additive to the cosmological signal) based on the nonlinear intrinsic alignment model (NLA) (`Bridle et al. 2007 <https://arxiv.org/abs/0705.0166>`_ , `Hirata et al. 2004 <https://journals.aps.org/prd/abstract/10.1103/PhysRevD.70.063526>`_ and `Joachimi et al. 2011 <https://www.aanda.org/articles/aa/abs/2011/03/aa15621-10/aa15621-10.html>`_) and applied in `Zürcher et al. 2020 <https://arxiv.org/abs/2006.12506>`_.
        
        N-Body Simulations
        ==================
        
        Currently supported N-Body simulation codes are:
        
        * PKDGRAV3 (`Potter et al. 2016 <https://arxiv.org/abs/1609.08621>`_) available `here <https://bitbucket.org/dpotter/pkdgrav3/src/master/>`_.
        * L-PICOLA (`Howlett et al. 2015 <https://arxiv.org/abs/1506.03737>`_) available `here <https://cullanhowlett.github.io/l-picola/>`__.
        
        Note that UFalcon currently only supports post-processing of simulation output generated in lightcone mode.
        
        Getting Started
        ===============
        
        The following sections provide an overview of the UFalcon pipeline and some example-scripts, which you can use for your analysis.
        
        Credits
        =======
        
        - Copyright (C) 2020 ETH Zurich, Institute for Particle Physics and Astrophysics, `Cosmology Group <https://cosmology.ethz.ch/>`_
        - Authors: Raphael Sgier and Jörg Herbel
        - Contact: Raphael Sgier raphael.sgier@phys.ethz.ch.
        
        
        
        Documentation
        -------------
        
        The full documentation can be generated with Sphinx
        
        :
        
        History
        -------
        
        0.1.0 (2019-04-04)
        ++++++++++++++++++
        
        * Development version
        
        0.1.0 (2020-04-06)
        ++++++++++++++++++
        
        * First version on TestPyPI
        
        0.2.0 (2020-05-14)
        ++++++++++++++++++
        
        * Completely moved all cosmological computation to astropy
        * support for continuous (not tabulated) redshift distribution
        * Run external test with established pipeline
        * Extended tests for lensing weights
Keywords: UFalcon
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
