53 citations · 82 across the 5 of their papers we have counts for
5 papers
LightCurveLynx: Forward Modeling of Time-Domain Surveys with Application to ZTF SN Ia DR2
Mi Dai, Jeremy Kubica, Konstantin Malanchev +5
We present LightCurveLynx, a flexible and extensible software framework for end-to-end forward modeling time-domain light curves. Given the growing need for realistic simulations i…
Are classification metrics good proxies for SN Ia cosmological constraining power?
Alex I. Malz, Mi Dai, Kara A. Ponder +10
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. co…
Photometric classification and redshift estimation of LSST Supernovae
Mi Dai, Steve Kuhlmann, Yun Wang +1
Supernova (SN) classification and redshift estimation using photometric data only have become very important for the Large Synoptic Survey Telescope (LSST), given the large number…
Exploring uncertainties in dark energy constraints using current observational data with Planck 2015 distance priors
Yun Wang, Mi Dai
We present the distance priors that we have derived from the 2015 Planck data, and use these in combination with the latest observational data from Type Ia Supernovae (SNe Ia) and…
Sampling the Probability Distribution of Type Ia Supernova Lightcurve Parameters in Cosmological Analysis
Mi Dai, Yun Wang
In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a me…