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@ -1,6 +1,7 @@
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#include "agn.hpp"
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#include "sed.hpp"
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// This is old and probably doesn't work.
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int main(int argc, char const *argv[])
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{
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148
src/sed.hpp
148
src/sed.hpp
@ -32,9 +32,25 @@ const double IN_EV_2500A=12398.41929/2500;
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// SEDs are represented by 2d histogram tables.
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struct sed_table {
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std::string header;
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table1d value;
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table1d table;
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};
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class powerlaw {
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private:
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// f(x) = _normal*x^_power
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double _power;
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double _normal;
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public:
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powerlaw(): _power(0), _normal(0) {}
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powerlaw(coord2d x0,coord2d x1):
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_power((log(x1.second)-log(x0.second))/(log(x1.first)-log(x0.first))),
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_normal((log(x0.second)-(_power*log(x0.first))))
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{}
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powerlaw(coord2d x0,double slope):
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_power(slope),
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_normal((log(x0.second)-(_power*log(x0.first))))
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{}
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};
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class sed {
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public:
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@ -43,30 +59,18 @@ public:
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sed_table histogram_table(int n);
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// Argument is photon energy in eV
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virtual double value(double hnu) {};
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virtual double table(double hnu) {};
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sed() {};
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};
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class sed_powerlaw_spline : public sed {
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private:
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Spline<double,double> _spline;
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// powerlaw parameters
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double _ir_slope = 3;
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double _ir_high_point_x;
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double _ir_high_point_y;
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double _uv_low_point_x;
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double _uv_low_point_y;
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double _uv_high_point_x;
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double _uv_high_point_y;
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double _xray_low_point_x;
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double _xray_low_point_y;
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double _xray_high_point_x;
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double _xray_high_point_y;
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double _gamma_low_point_x;
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double _gamma_low_point_y;
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double _gamma_slope = -2;
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Spline<double,double> _output_model;
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powerlaw _ir_powerlaw;
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powerlaw _uv_powerlaw;
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powerlaw _xray_powerlaw;
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powerlaw _gamma_powerlaw;
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// These parameters might still be useful for rolling off various quantities, but aren't used in the strict-spline case.
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@ -79,14 +83,14 @@ private:
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double _xray_coefficient;
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public:
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double value(double hnu);
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double table(double hnu);
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sed_powerlaw_spline(agn::sed_table& samples,
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agn::sed_table& powerlaw_coords);
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};
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class sed_pow_law : public sed {
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public:
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double value(double hnu);
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double table(double hnu);
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// Argument is photon energy in eV
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double eval_uv(double hnu);
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double eval_xray(double hnu);
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@ -154,40 +158,42 @@ std::string cloudy_interpolate_str(sed_table SED);
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agn::sed_powerlaw_spline::sed_powerlaw_spline(
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agn::sed_table& samples,
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agn::sed_table& powerlaw_coords
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) {
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std::vector<double> x;
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std::vector<double> y;
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samples
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iterator1d table_it = powerlaw_coords.value.begin();
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_ir_high_point_x = table_it->first;
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_ir_high_point_y = table_it->second;
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table_it++;
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_uv_high_point_x = table_it->first;
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_uv_high_point_y = table_it->second;
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table_it++;
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_uv_high_point_x = table_it->first;
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_uv_high_point_y = table_it->second;
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table_it++;
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_xray_high_point_x = table_it->first;
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_xray_high_point_y = table_it->second;
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table_it++;
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_xray_high_point_x = table_it->first;
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_xray_high_point_y = table_it->second;
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table_it++;
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_gamma_high_point_x = table_it->first;
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_gamma_high_point_y = table_it->second;
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)
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{
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// coordinate vectors will be used to construct spline sed model
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std::vector<double> x0;
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std::vector<double> x1;
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// powerlaws are evaluated across four regions of the sed, first
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iterator1d table_it = powerlaw_coords.table.begin();
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double ir_power = 3;
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coord2d ir_high_point = *table_it; table_it++;
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coord2d uv_low_point = *table_it; table_it++;
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coord2d uv_high_point = *table_it; table_it++;
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coord2d xray_low_point = *table_it; table_it++;
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coord2d xray_high_point = *table_it; table_it++;
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coord2d gamma_low_point = *table_it;
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double gamma_power = -2;
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_ir_powerlaw = powerlaw(ir_high_point,ir_power);
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_uv_powerlaw = powerlaw(uv_low_point,uv_high_point);
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_xray_powerlaw = powerlaw(xray_low_point,xray_high_point);
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_gamma_powerlaw = powerlaw(gamma_low_point,gamma_power);
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ir_bounds=
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for (int i=0; i<10; i++) {
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_
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agn::coord2d uv_point =
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_ir_powerlaw.eval()
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}
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table_it = samples.value.begin();
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while(table_it != samples.value.end()) {
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x.push_back(table_it->first);
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y.push_back(table_it->second);
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// load all samples into coordinate vectors
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table_it = samples.table.begin();
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while(table_it != samples.table.end()) {
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x0.push_back(table_it->first);
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x1.push_back(table_it->second);
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table_it++;
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}
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Spline<double,double> newspline(x,y);
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_spline = newspline;
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Spline<double,double> newspline(x0,x1);
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_output_model = newspline;
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}
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agn::sed_pow_law::sed_pow_law (
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@ -208,12 +214,12 @@ agn::sed_pow_law::sed_pow_law (
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_cutoff_xray_rydberg(cutoff_xray_rydberg),
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_log_radius_in_cm(log_radius_in_cm),
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_scaling_factor(scaling_factor)
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{
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_cutoff_uv_eV = cutoff_uv_rydberg*RYDBERG_UNIT_EV;
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_cutoff_xray_eV = cutoff_xray_rydberg*RYDBERG_UNIT_EV;
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_radius_in_cm = pow(10,log_radius_in_cm);
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_radius_in_cm_squared = _radius_in_cm*_radius_in_cm;
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_xray_coefficient = agn::sed_pow_law::SED_at_2KeV();
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{
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_cutoff_uv_eV = cutoff_uv_rydberg*RYDBERG_UNIT_EV;
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_cutoff_xray_eV = cutoff_xray_rydberg*RYDBERG_UNIT_EV;
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_radius_in_cm = pow(10,log_radius_in_cm);
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_radius_in_cm_squared = _radius_in_cm*_radius_in_cm;
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_xray_coefficient = agn::sed_pow_law::SED_at_2KeV();
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}
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@ -225,26 +231,26 @@ agn::sed_table agn::sed::histogram_table(int n){
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double max=0,min=1,hnu;
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for(int i=0; i<n; i++) {
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hnu = hnu_at(i,n);
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output.value[hnu] = this->value(hnu);
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if (output.value[hnu] > max) max = output.value[hnu];
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if (output.value[hnu] < min) min = output.value[hnu];
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output.table[hnu] = this->table(hnu);
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if (output.table[hnu] > max) max = output.table[hnu];
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if (output.table[hnu] < min) min = output.table[hnu];
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}
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// Add a final point at 100 KeV
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hnu = 1e5;
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output.value[hnu] = this->value(hnu);
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output.table[hnu] = this->table(hnu);
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return output;
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}
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// sed_powerlaw_spline evaluation
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double agn::sed_powerlaw_spline::value(double hnu) {
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double agn::sed_powerlaw_spline::table(double hnu) {
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double magnitude=0.0;
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magnitude += this->_spline[hnu];
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magnitude += this->_output_model[hnu];
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if (magnitude < agn::CONT_MIN_VAL) return agn::CONT_MIN_VAL;
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return magnitude;
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}
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// sed_pow_law evaluations
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double agn::sed_pow_law::value(double hnu) {
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double agn::sed_pow_law::table(double hnu) {
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double magnitude=0.0;
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magnitude += this->eval_uv(hnu);
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magnitude += this->eval_xray(hnu);
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@ -296,7 +302,7 @@ agn::sed_table agn::read_sed_table(std::ifstream& table_file) {
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}
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while(!table_file.eof()) {
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table_file >> hnu;
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table_file >> resultant.value[hnu];
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table_file >> resultant.table[hnu];
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}
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return resultant;
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}
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@ -306,7 +312,7 @@ agn::sed_table agn::read_and_convert_sed_table(std::ifstream& table_file) {
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sed_table resultant;
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std::string scratch;
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int current_line=0;
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double hnu_in_ryd,hnu_in_ev,value;
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double hnu_in_ryd,hnu_in_ev,table;
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std::getline(table_file,scratch);
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if(!isdigit(scratch[0])) {
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resultant.header = scratch;
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@ -317,7 +323,7 @@ agn::sed_table agn::read_and_convert_sed_table(std::ifstream& table_file) {
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//std::cout << c;
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table_file >> hnu_in_ryd;
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hnu_in_ev = hnu_in_ryd*agn::RYDBERG_UNIT_EV;
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table_file >> resultant.value[hnu_in_ev];
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table_file >> resultant.table[hnu_in_ev];
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getline(table_file,scratch);
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}
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}
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@ -327,8 +333,8 @@ std::string agn::format_sed_table(agn::sed_table table) {
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if (!table.header.empty()) output << table.header;
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output << std::setprecision(5);
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agn::table1d::iterator table_iterator;
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table_iterator=table.value.begin();
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while(table_iterator != table.value.end()) {
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table_iterator=table.table.begin();
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while(table_iterator != table.table.end()) {
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output
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<< std::fixed
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<< std::scientific
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@ -344,7 +350,7 @@ std::string agn::format_sed_table(agn::sed_table table) {
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std::string agn::cloudy_interpolate_str(agn::sed_table table) {
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std::stringstream output;
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agn::table1d::iterator table_iterator = table.value.begin();
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agn::table1d::iterator table_iterator = table.table.begin();
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// Lead in to uv bump at slope=2 in log(energy [rydberg]) space
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double energy_in_rydbergs = table_iterator->first
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/ agn::RYDBERG_UNIT_EV;
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@ -365,7 +371,7 @@ std::string agn::cloudy_interpolate_str(agn::sed_table table) {
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<< ")";
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int count=0;
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while(table_iterator != table.value.end()) {
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while(table_iterator != table.table.end()) {
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energy_in_rydbergs = table_iterator->first
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/ agn::RYDBERG_UNIT_EV;
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double log_SED_density = log10( table_iterator->second
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#include "sed.hpp"
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// Syntax: table_powerlaw_spline <samples table> <powerlaw coordinates> <output table>
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int main(int argc, char const *argv[])
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{
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@ -9,8 +12,7 @@ int main(int argc, char const *argv[])
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<< "Setting up environment.\n";
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// Create 2d table using n bins, linear values of SED. The
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// agn sed_powerlaw_spline class has a function for this. A
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// std::map<double,double> represents the table.
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// agn sed_powerlaw_spline class has a function for this.
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int n = 1000;
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agn::sed_table SED;
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agn::sed_table samples;
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