HEALPix Files

             The latest version of the HEALPix package (3.30) 
                    offers the following new features:


C++

     * support for multi-order coverages (MOC);
     * allow generation of a[lm] from 6-component power spectra;
     * moved from alice2 to alice3, which produces FITS HEALPix maps as
       output. These can be visualized more flexibly with external tools.
     * switch from custom xcomplex class to std::complex;
     * rangeset class has been redesigned.


Fortran 90 facilities and subroutines

     * anafast facility now produces nine spectra (TT, EE, BB, TE, TB, EB,
       ET, BT and BE), instead of six previously, when analyzing two
       polarized maps;
     * alm2cl subroutine can now produces nine spectra (TT, EE, BB, TE, TB,
       EB, ET, BT and BE), instead of six previously, when called with two
       sets of polarized a[lm] and can also symmetrize the output C(l) if
       requested;
     * the a[lm] generated by create_alm subroutine can now take into
       account non-zero (exotic) TB and EB cross-spectra (option polar=2) if
       the input FITS file contains the relevant information
     * new routines nest2uniq and uniq2nest for conversion of standard pixel
       index to/from Unique ID number. See ''The Unique Identifier scheme''
       section in ''HEALPix Introduction Document'' for more details.
     * improved repeat behavior in write_bintabh routine
     * edited map2alm_iterative routine to avoid a bug specific to Intel's
       Ifort 15.0.2
     * CFITSIO version 3.20 (August 2009) or more now required;


IDL

     * azeqview, cartview, gnomview, mollview, orthview visualization
       routines:
          + addition of PDF keyword for production of Adobe PDF outputs;
          + addition of LATEX keyword for genuine or emulated LATEX
            processing of character strings;
          + addition of PFONTS keyword to select origin and type of
            character font;
          + the CROP keyword now has the same behavior for all output media
            (GIF, JPEG, PDF, PNG, PS, ... and X); the NOBAR keyword now
            removes the color bar or the polarization color wheel, as
            applicable; correct EQUINOX date in header of output FITS map;
            the double precision maps and those with constant value are now
            correctly handled.
     * fits2cl: addition of /PLANCK2 keyword to read best fit C(l) model to
       Planck 2015 data.
     * new routines nest2uniq and uniq2nest for conversion of standard pixel
       index to/from Unique ID number. See ''The Unique Identifier scheme''
       section in ''HEALPix Introduction Document'' for more details.
     * HEALPix enabled GDL commands (hgdl and hgdlde) are defined during the
       configuration process.
     * update of the required IDL-astron library routines, and Coyote
       library routines (2015-09-23).


Java

     * deprecated parts of the library have been removed;
     * MOC support (see http://ivoa.net/documents/MOC/ for high-level
       description);
     * queries for arbitrary polygons (using MOC);
     * new targets in build.xml which allow compilation without external
       JARs.


Python

     * switch to healpy 1.9.0
          + same C++ source code as HEALPix 3.30
          + drop support for Python 2.6
          + support for astropy.fits
          + improvements to read_map and write_map
          + renamed get_neighbours to get_interp_weights
          + several bug fixes in build and installation processes


_______________________________________________________________________________

                    Download information


http://sourceforge.net/projects/healpix/

Healpix_3.30_2015Oct08.tar.gz:
 MD5  5c51820dbdc9e2295e319587ad883ac7
 SHA1 19d3214fc206665b53a713e2ccf6f6f55e2ee2d8


Healpix_3.30_2015Oct08.zip:
 MD5  2ab22a5340cf284d229e8fa665a3db91
 SHA1 74ae9b898caffc88753e1ca20640b2f8988d5504

SVN url: svn://svn.code.sf.net/p/healpix/code/branches/branch_v330r807
SVN revision: 807

_______________________________________________________________________________