Dana Kullgren

My Experience With The CIERA REU

About Me Project Introduction Methods Results and Next Steps
Plot of volumetric BBH merger rates over redshift

Figure 1: Volumetric rate of BBH mergers over redshift. Central 50% (dark gray) and 90% (light gray) credible bounds on the BBH merger rate. LIGO data from LIGO/Virgo/KAGRA et al. (2021).


Plot of primary mass vs secondary mass for each of the five values of alpha-3

Figure 2: Component masses of BBH mergers extracted from cluster models (black contours) and from LIGO (red circles with error bars). Each plot shows simulation data for a different value of α3.

Results

Figure 1 relates merger rates from simulations to observational data. It shows that simulation rates best match observational rates for α3=1.6, α3=2.0, and α3=2.3.

Figure 2 has five different α3 values. In a BBH merger, the primary mass is the mass of the larger BH. In this plot, the simulation data for α3=2.0 and α3=2.3 match most closely with the observational data.

Overall, the simulation data for α3=1.6, α3=2.0, and α3=2.3 match most closely with the observational data.

Discussion and Next Steps

This process has produced constraints for α3, but there are still steps to be taken before a definitive result can be given.

I will improve the accuracy of the constraints on α3 by incorporating simulations of stellar environments outside of clusters into this analysis (simulations need to include BBHs from the field). The current simulations only look at BBHs formed in stellar clusters while LIGO data is not limited to cluster BBHs.

However, cluster simulations can still be used to put constraints on α3 if assumptions are made about the fraction of mergers that clusters contribute to the overall merger rate. For example, if I assume that clusters contribute X% to the overall merger rate, I can calculate the overall merger rate compared to LIGO data. This would allow me to put constraints on the number of top-heavy clusters in the Universe.

As a separate note, this data indicates that clusters with top-light IMFs are unlikely to be large contributors to the overall merger rate.

Another next step for this project will be to produce an updated grid of simulation models and perform this analysis based on that grid. The current models being used do not allow for three-body binary formation (Mansbach 1970). Furthermore, the binary period distributions and radii of giant stars need to be updated to remain consistent with recent data.

Conclusion

Preliminary results show that α3=1.6, α3=2.0, and α3=2.3 are the most accurate α3 values. This indicates that α3 is slightly less than or equal to its canonical value, which either means that the current understanding of the IMF is accurate (α3=2.3) or that there are a greater number of massive stars formed in the universe than current theory suggests (α3=1.6, 2.0). With more work on this project, I will put more accurate constraints on the value of α3 in the IMF.


Acknowledgements
This material is based upon work supported by the National Science Foundation under Grant No. AST-2149425, a Research Experiences for Undergraduates (REU) grant awarded to CIERA at Northwestern University. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. This research was also supported by Aaron Geller and Tjitske Starkenburg who oversaw the CIERA REU.