2012-10-07 20:58:01 +02:00
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#ifndef __COSMOTOOL_FOURIER_HEALPIX_HPP
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#define __COSMOTOOL_FOURIER_HEALPIX_HPP
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2012-11-10 15:02:08 +01:00
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#include <gsl/gsl_rng.h>
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#include <gsl/gsl_randist.h>
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#include <cmath>
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2012-11-10 18:22:37 +01:00
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#include <vector>
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2012-10-07 20:58:01 +02:00
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#include <boost/bind.hpp>
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#include <boost/shared_ptr.hpp>
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#include <exception>
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#include "base_types.hpp"
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#include <sharp_lowlevel.h>
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#include <sharp_geomhelpers.h>
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#include <sharp_almhelpers.h>
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2012-10-07 20:58:01 +02:00
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namespace CosmoTool
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{
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template<typename T>
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class HealpixSpectrum: public SpectrumFunction<T>
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{
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protected:
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std::vector<T> cls;
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public:
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typedef typename SpectrumFunction<T>::FourierMapType FourierMapType;
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typedef boost::shared_ptr<FourierMapType> ptr_map;
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HealpixSpectrum(long Lmax)
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: cls(Lmax+1) {}
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T *data() { return &cls[0]; }
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const T *data() const { return &cls[0]; }
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long size() const { return cls.size(); }
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ptr_map newRandomFourier(gsl_rng *rng, const FourierMapType& like_map) const = 0;
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};
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template<typename T>
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class HealpixFourierMap: public FourierMap<T>
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{
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private:
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T *m_data;
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long Npix, m_Nside;
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Eigen::aligned_allocator<T> alloc;
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public:
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HealpixFourierMap(long nSide)
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: Npix(12*nSide*nSide), m_Nside(nSide)
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{
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m_data = alloc.allocate(Npix);
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}
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virtual ~HealpixFourierMap()
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{
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alloc.deallocate(m_data, Npix);
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}
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long Nside() const { return m_Nside; }
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virtual const T* data() const { return m_data; }
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virtual T *data() { return m_data; }
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virtual long size() const { return Npix; }
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virtual T dot_product(const FourierMap<T>& other) const
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throw(std::bad_cast)
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{
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typedef typename FourierMap<T>::MapType MapType;
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const HealpixFourierMap<T>& mfm = dynamic_cast<const HealpixFourierMap<T>&>(other);
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if (Npix != mfm.size())
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throw std::bad_cast();
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MapType m1(m_data, Npix);
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MapType m2(mfm.m_data, mfm.Npix);
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return (m1*m2).sum();
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}
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virtual FourierMap<T> *mimick() const
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{
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return new HealpixFourierMap<T>(m_Nside);
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}
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};
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template<typename T>
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class HealpixFourierALM: public FourierMap<std::complex<T> >
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{
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private:
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std::complex<T> *alms;
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long m_size;
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long Lmax_, Mmax_, TVal_;
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Eigen::aligned_allocator<std::complex<T> > alloc;
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public:
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typedef unsigned long LType;
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LType Lmax() const { return Lmax_; }
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LType Mmax() const { return Mmax_; }
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LType Num_Alms() const
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{
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return ((Mmax_+1)*(Mmax_+2))/2 + (Mmax_+1)*(Lmax_-Mmax_);
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}
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LType index_l0(LType m) const
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{
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return ((m*(TVal_-m))/2);
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}
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LType index(LType l, LType m) const
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{
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return index_l0(m) + l;
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}
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HealpixFourierALM(LType lmax, LType mmax)
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: Lmax_(lmax), Mmax_(mmax), TVal_(2*lmax+1)
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{
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m_size = Num_Alms();
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alms = alloc.allocate(m_size);
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}
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virtual ~HealpixFourierALM()
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{
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alloc.deallocate(alms, m_size);
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}
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virtual const std::complex<T>* data() const { return alms; }
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virtual std::complex<T> * data() { return alms;}
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virtual long size() const { return m_size; }
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virtual FourierMap<std::complex<T> > *mimick() const
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{
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return new HealpixFourierALM<T>(Lmax_, Mmax_);
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}
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virtual std::complex<T> dot_product(const FourierMap<std::complex<T> >& other) const
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throw(std::bad_cast)
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{
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const HealpixFourierALM<T>& mfm = dynamic_cast<const HealpixFourierALM<T>&>(other);
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typedef typename FourierMap<std::complex<T> >::MapType MapType;
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std::complex<T> S;
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if (m_size != mfm.m_size)
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throw std::bad_cast();
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MapType m1(alms, m_size);
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MapType m2(mfm.alms, mfm.m_size);
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S = (m1.block(0,0,1,Lmax_+1).conjugate() * m2.block(0,0,1,Lmax_+1)).sum();
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S += std::complex<T>(2,0)*(m1.block(0,1+Lmax_,1,m_size-1-Lmax_).conjugate() * m2.block(0,1+Lmax_,1,m_size-1-Lmax_)).sum();
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return S;
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}
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};
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template<typename T> struct HealpixJobHelper__ {};
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template<> struct HealpixJobHelper__<double>
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{ enum {val=1}; };
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template<> struct HealpixJobHelper__<float>
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{ enum {val=0}; };
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template<typename T>
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class HealpixFourierTransform: public FourierTransform<T>
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{
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private:
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sharp_alm_info *ainfo;
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sharp_geom_info *ginfo;
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HealpixFourierMap<T> realMap;
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HealpixFourierALM<T> fourierMap;
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int m_iterate;
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public:
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HealpixFourierTransform(long nSide, long Lmax, long Mmax, int iterate = 0)
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: realMap(nSide), fourierMap(Lmax, Mmax), ainfo(0), ginfo(0), m_iterate(iterate)
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{
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sharp_make_healpix_geom_info (nSide, 1, &ginfo);
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sharp_make_triangular_alm_info (Lmax, Mmax, 1, &ainfo);
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}
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virtual ~HealpixFourierTransform()
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{
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sharp_destroy_geom_info(ginfo);
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sharp_destroy_alm_info(ainfo);
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}
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virtual const FourierMap<std::complex<T> >& fourierSpace() const { return fourierMap; }
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virtual FourierMap<std::complex<T> >& fourierSpace() { return fourierMap; }
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virtual const FourierMap<T>& realSpace() const { return realMap; }
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virtual FourierMap<T>& realSpace() { return realMap; }
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virtual FourierTransform<T> *mimick() const
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{
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return new HealpixFourierTransform<T>(realMap.Nside(), fourierMap.Lmax(), fourierMap.Mmax());
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}
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virtual void analysis()
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{
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void *aptr=reinterpret_cast<void *>(fourierMap.data()), *mptr=reinterpret_cast<void *>(realMap.data());
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sharp_execute (SHARP_MAP2ALM, 0, 0, &aptr, &mptr, ginfo, ainfo, 1,
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HealpixJobHelper__<T>::val,0,0,0);
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for (int i = 0; i < m_iterate; i++)
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{
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HealpixFourierMap<T> tmp_map(realMap.Nside());
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void *tmp_ptr=reinterpret_cast<void *>(tmp_map.data());
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typename HealpixFourierMap<T>::MapType m0 = tmp_map.eigen();
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typename HealpixFourierMap<T>::MapType m1 = realMap.eigen();
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sharp_execute (SHARP_ALM2MAP, 0, 0, &aptr, &tmp_ptr, ginfo, ainfo, 1,
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HealpixJobHelper__<T>::val,0,0,0);
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m0 = m1 - m0;
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sharp_execute (SHARP_MAP2ALM, 0, 1, &aptr, &tmp_ptr, ginfo, ainfo, 1,
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HealpixJobHelper__<T>::val,0,0,0);
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}
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}
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virtual void synthesis()
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{
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void *aptr=reinterpret_cast<void *>(fourierMap.data()), *mptr=reinterpret_cast<void *>(realMap.data());
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sharp_execute (SHARP_ALM2MAP, 0, 0, &aptr, &mptr, ginfo, ainfo, 1,
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HealpixJobHelper__<T>::val,0,0,0);
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}
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virtual void analysis_conjugate()
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{
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synthesis();
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realMap.scale(4*M_PI/realMap.size());
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}
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virtual void synthesis_conjugate()
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{
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analysis();
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fourierMap.scale(realMap.size()/(4*M_PI));
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}
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};
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template<typename T>
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typename HealpixSpectrum<T>::ptr_map
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HealpixSpectrum<T>::newRandomFourier(gsl_rng *rng, const FourierMapType& like_map) const
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{
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const HealpixFourierALM<T>& alms = dynamic_cast<const HealpixFourierALM<T>&>(like_map);
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HealpixFourierALM<T> *new_alms;
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ptr_map r(new_alms = new HealpixFourierALM<T>(alms.Lmax(), alms.Mmax()));
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long lmaxGen = std::min(cls.size()-1, alms.Lmax());
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std::complex<T> *new_data = new_alms->data();
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for (long l = 0; l < lmaxGen; l++)
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{
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double Al = std::sqrt(cls[l]);
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new_data[alms.index(l,0)] = gsl_ran_gaussian(rng, Al);
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Al *= M_SQRT1_2;
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for (long m = 1; m < alms.Mmax(); m++)
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{
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std::complex<T>& c = new_data[alms.index(l,m)];
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c.real() = gsl_ran_gaussian(rng, Al);
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c.imag() = gsl_ran_gaussian(rng, Al);
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}
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}
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return r;
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}
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};
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#endif
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