Loading doc/src/Model.rst +1 −1 Original line number Diff line number Diff line Loading @@ -13,7 +13,7 @@ SExtractor can fit models to the images of detected objects since version 2.8. T .. math:: :label: loss_func \lambda(\boldsymbol{q}) = \sum_i \left(g\left(\frac{p_i - \tilde{m}_i(\boldsymbol{q})}{\sigma_i}\right)\right)^2 + \sum_j \frac{q_j - \mu_j}{} \lambda(\boldsymbol{q}) = \sum_i \left(g\left(\frac{p_i - \tilde{m}_i(\boldsymbol{q})}{\sigma_i}\right)\right)^2 + \sum_j \left(\frac{q_j - \mu_j}{\rho_j}\right)^2 with respect to components of the model parameter vector :math:`\boldsymbol{q}`. :math:`\boldsymbol{q}` comprises parameters describing the shape of the model and the model pixel coordinates :math:`\boldsymbol{x}`. Loading Loading
doc/src/Model.rst +1 −1 Original line number Diff line number Diff line Loading @@ -13,7 +13,7 @@ SExtractor can fit models to the images of detected objects since version 2.8. T .. math:: :label: loss_func \lambda(\boldsymbol{q}) = \sum_i \left(g\left(\frac{p_i - \tilde{m}_i(\boldsymbol{q})}{\sigma_i}\right)\right)^2 + \sum_j \frac{q_j - \mu_j}{} \lambda(\boldsymbol{q}) = \sum_i \left(g\left(\frac{p_i - \tilde{m}_i(\boldsymbol{q})}{\sigma_i}\right)\right)^2 + \sum_j \left(\frac{q_j - \mu_j}{\rho_j}\right)^2 with respect to components of the model parameter vector :math:`\boldsymbol{q}`. :math:`\boldsymbol{q}` comprises parameters describing the shape of the model and the model pixel coordinates :math:`\boldsymbol{x}`. Loading
