detailed most of the procedure

introduction.typ

@@ -49,12 +49,16 @@ These methods are computationally expensive which limits their applicability for
 
 // Shortcomings of similar codes (as noted in #beorn paper). => justification for the development of #beorn (@Schaeffer_2023).
 
-This work presents #beorn, the Bubbles during the _Epoch of Reionization Numerical simulator_ by @Schaeffer_2023, and the refinements we make to achieve self-consistency. In its simplest description #beorn is the implementation of the "halo model of reionization" by @schneider2023cosmologicalforecast21cmpower. In this model the radiative interactions are treated as spherically symmetric around a halo-scale source. This effectively reduces the dimensionality of the radiative transfer problem. #beorn uses the 1-d profiles generated by this model to paint the 3-d space around sources which are obtained from a large scale N-body simulation. A distinguishing feature of #beorn is the self-consistent treatment of the growth of individual sources over the course of the simulation. The first iteration of #beorn focused on the effect of emitted photons whereas this work focuses on the effects of gravitational mass accretion. We show that the radiation profiles are sensitive to the growth rate of the sources and that an accurate treatment of the source growth has an impact on the resulting 21-cm signal.
+This work presents #beorn, the _Bubbles during the Epoch of Reionization Numerical simulator_ by @Schaeffer_2023, and the refinements we make to achieve self-consistency.
+// not clear!
+In its simplest description #beorn is the implementation of the "halo model of reionization" by @schneider2023cosmologicalforecast21cmpower. In this model the radiative interactions are treated as spherically symmetric around a halo-scale source. This effectively reduces the dimensionality of the radiative transfer problem. #beorn uses the 1-d profiles generated by this model to paint the 3-d space around sources which are obtained from a large scale N-body simulation. A distinguishing feature of #beorn is the self-consistent treatment of the growth of individual sources over the course of the simulation. The first iteration of #beorn focused on the effect of emitted photons whereas this work focuses on the effects of gravitational mass accretion. We show that the radiation profiles are sensitive to the growth rate of the sources and that an accurate treatment of the source growth has an impact on the resulting 21-cm signal.
 // Mention that this is treated in more detail in @procedure
 
 This report is structured as follows: @procedure describes the details of the simulation procedure, including the underlying model. @halo_mass_history explains how mass evolution is modelled and its impact on the profiles.
 // not any profiles.
-In @implementation we give an overview of the implementation of the self-consistent treatment of mass accretion. In @validation we validate the refined procedure and in @results we compare the resulting signal to quantify the impact of mass accretion. @conclusion summarizes the findings and discusses potential future improvements.
+In @implementation we give an overview of the implementation of the modelling assumed by #beorn and the steps required to produce a full 3-d lightcone simulation.
+// self-consistent treatment of mass accretion.
+@validation details the validation we perform on the refined procedure and in @results we compare the resulting signal to quantify the impact of mass accretion. @conclusion summarizes our findings and discusses potential future improvements.
 
 
 
@@ -62,7 +66,7 @@ In @implementation we give an overview of the implementation of the self-consist
 Other points to mention
 - wouthuysen
 - cold reionization
-
+- IGM - introduce acronym
 
 how #beorn compares to traditional approaches