Periodic Reporting for period 1 - EXP-SN (Mapping the cosmic expansion history with Type Ia supernovae)
Reporting period: 2021-09-01 to 2023-08-31
The overall objective of the fellowship project is to develop novel methods for understanding the cause of the discrepancy. This is extremely important, since if independent methods agree with the direct measurement of the Hubble Constant, it would strongly suggest the presence of exciting new cosmology, e.g. dark radiation before the universe became transparent, or phantom-like behaviour of dark energy.
Towards achieving this objective, my project was setup to develop new statistical tools for analyses of cutting edge datasets from time-domain surveys, like the Zwicky Transient Facility, constructing new cosmological probes like strongly lensed supernovae and forecasting the constraints expected from the Vera C. Rubin Observatory’s Legacy Survey of Space and Time.
The problem is central to our curiosity about the history, composition and evolution of the universe.
Independent of lensed SNe, I have developed new methods for using the local distance scale for measuring the Hubble constant. I led the first data release of Type Ia supernovae from the Zwicky Transient Facility (Dhawan et al. 2022a). I used a uniform distance ladder, with SNe Ia in both the calibrator and the Hubble flow samples, i.e. both the more nearby sample for which we can obtain independent distance constraints and the more distant sample that is sensitive to the expansion of the universe, observed with the same instrument and survey. This is a crucial step to reducing systematics from poorly understood selection effects and minimising the error from photometric cross-calibration between various different telescopes as has been done in the literature. Calibrating to the novel tip of the red giant branch method, I demonstrated that the single survey distance ladder yields an H0 value of 76.9 +/- 6.4 km/s/Mpc (Dhawan et al. 2022b). I also used a new approach to model the optical to the near infrared data of the Type Ia supernovae simultaneously with a hierarchical Bayesian lightcurve inference method, i.e. BayeSN and found an improvement of up to 15% in the uncertainty on H0 compared to the case with only the optical (Dhawan et al. 2023a). With my student, using a Bayesian model selection framework, we find a slight preference for using a student-t instead of a Gaussian distribution for modelling the SN Ia likelihood and it leads to a ~ 8% reduction in the uncertainty on H0 (Lovick, Dhawan, Handley in prep.).
A key new aspect in the search of new cosmology beyond the standard model is testing whether the expansion rate is the same in every direction. I used a model independent approach for the first time to constrain the quadrupole in the Hubble parameter (Cowell, SD, Macpherson 2023), finding that while isotropy is still favoured, anisotropies of upto ~ 10% in the Hubble parameter are still permitted by the data (SD et al. 2023).
Results from this project were disseminated via publications in peer reviewed journals and datasets were made public via the journal platforms and github. I presented the work via invited talks at several institutes (e.g. Duke, Pittsburgh, Oxford, LMU-Munich) and at the European Astronomical Society meeting. Moreover, I have also actively taken outreach roles like presenting talks for the public at the Institute of Astronomy and Lucy Cavendish College.
For lensed SNe, I am currently leading the topical team (~ 40 members) in the LSST dark energy science collaboration (DESC) and co-leading the effort for developing the lensed SN integration pipeline in LSST products. I am also leading the first efforts for lensed SN follow-up with the Isaac Newton, and Liverpool telescopes.
During the course of the fellowship, I also led the work for the most precise measurement of the fraction of dark matter composed of compact objects like primordial black holes, using the Dyer-Roeder distance relation (Dhawan & Mortsell 2023). I have supervised four Part III and two PhD students. This resulted in the publications: Cowell, SD, Macpherson, 2023, Ward, SD et al. 2023 submitted, Hayes, SD et al. in prep., Lovick, SD, Handley, 2023 in prep.