THE CARNEGIE SUPERNOVA PROJECT: LIGHT-CURVE FITTING WITH SNooPy
By C. Burns, M. Stritzinger, M. Phillips, S. Kattner, S. E. Persson, B. Madore, W. Freedman, L. Boldt, A. Campillay, C. Contreras and 6 more. 2010
223 citations recorded by the source corpus.
In providing an independent measure of the expansion history of the universe, the Carnegie Supernova Project (CSP) has observed 71 high-z Type Ia supernovae (SNe Ia) in the near-infrared bands Y and J. These can be used to construct rest-frame i-band light curves which, when compared to a low-z sample, yield distance moduli that are less sensitive to extinction and/or decline-rate corrections than in the optical. However, working with NIR observed and i-band rest-frame photometry presents unique challenges and has necessitated the development of a new set of observational tools in order to reduce and analyze both the low-z and high-z CSP sample. We present in this paper the methods used to generate uBVgriYJH light-curve templates based on a sample of 24 high-quality low-z CSP SNe. We also present two methods for determining the distances to the hosts of SN Ia events. A larger sample of 30 low-z SNe Ia in the Hubble flow is used to calibrate these methods. We then apply the method and derive distances to seven galaxies that are so nearby that their motions are not dominated by the Hubble flow.
Subfields: Astronomy and Astrophysics
View Paper: https://www.semanticscholar.org/paper/306afb192169698cd272db4dcd0b23098807bdbe
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In Astronomy and Astrophysics
Citations in the corpus
- Measuring the Hubble constant with Type Ia supernovae as near-infrared standard candles (2017, methodology): “For the Kcorrections, we warp the model SED to match the SN colour (using the mangle option in SNooPy; Burns et al. 2011).”
- SUPERNOVA SIMULATIONS AND STRATEGIES FOR THE DARK ENERGY SURVEY (2011, methodology): “In order to simulate expected results from a combined DES+VIDEO dataset, we incorporated the optical+infrared SNooPy SN light-curve model (Burns et al. 2011) into SNANA.”
- THE CARNEGIE SUPERNOVA PROJECT: SECOND PHOTOMETRY DATA RELEASE OF LOW-REDSHIFT TYPE Ia SUPERNOVAE (2010, methodology): “As mentioned earlier, our attempts to fit the light curves of SN 2006bt with SNooPy met with failure because of the combination of slow-declining light curves with a weak secondary maximum in the i band.”
- ON THE SOURCE OF THE DUST EXTINCTION IN TYPE Ia SUPERNOVAE AND THE DISCOVERY OF ANOMALOUSLY STRONG Na i ABSORPTION (2013, methodology): “We determine the pseudo-colors at maximum for both the training sample and the objects in this paper using SNooPy (Burns et al. 2011) fits to the observed light-curves.”
- The Carnegie Supernova Project. I. Third Photometry Data Release of Low-redshift Type Ia Supernovae and Other White Dwarf Explosions (2017, methodology): “Plots of the individual light curves of the TypeIa SNe21 in the CSP-I sample are displayed in Figure 13 along with fits (solid red lines) using SNooPy (Burns et al. 2011).”