N
Nathaniel R. Butler
Researcher at Arizona State University
Publications - 39
Citations - 1746
Nathaniel R. Butler is an academic researcher from Arizona State University. The author has contributed to research in topics: Gamma-ray burst & Galaxy. The author has an hindex of 20, co-authored 39 publications receiving 1627 citations. Previous affiliations of Nathaniel R. Butler include University of California, Berkeley & Massachusetts Institute of Technology.
Papers
More filters
Journal ArticleDOI
The Cosmic Rate, Luminosity Function and Intrinsic Correlations of Long GRBs
TL;DR: In this paper, the authors presented a catalog of 425 Swift GRBs (147 with redshifts) starting from GRB041220 and calculated durations and spectral parameters for 207 Swift bursts detected by the BAT instrument.
Journal ArticleDOI
Improved standardization of type ii-p supernovae: application to an expanded sample
Dovi Poznanski,Nathaniel R. Butler,Alexei V. Filippenko,Mohan Ganeshalingam,Weidong Li,Joshua S. Bloom,Ryan Chornock,Ryan J. Foley,Ryan J. Foley,Peter Nugent,Jeffrey M. Silverman,S. Bradley Cenko,Elinor L. Gates,Douglas C. Leonard,Adam A. Miller,Maryam Modjaz,Frank J. D. Serduke,Nathan Smith,Brandon J. Swift,Diane S. Wong +19 more
TL;DR: In this paper, the authors derived a tight Hubble diagram with a dispersion of 10% in distance, using the simple correlation between luminosity and photospheric velocity introduced by Hamuy and Pinto and showed that the descendent method of Nugent et al. can be further simplified and that the correction for dust extinction has low statistical impact.
Journal ArticleDOI
Optimal time-series selection of quasars
TL;DR: In this article, the authors proposed a method for the optimal selection of quasars using time-series observations in a single photometric bandpass. But the method is not suitable for high redshift and in the regime of noisy and sparse data.
Journal ArticleDOI
Construction of a Calibrated Probabilistic Classification Catalog: Application to 50k Variable Sources in the All-Sky Automated Survey
Joseph W. Richards,Dan L. Starr,Adam A. Miller,Joshua S. Bloom,Nathaniel R. Butler,Henrik Brink,Arien Crellin-Quick +6 more
TL;DR: The Machine-learned ASAS Classification Catalog (MACC) as discussed by the authors is a probabilistic classification catalog of variability with machine learning from a multi-epoch photometric survey.
Journal ArticleDOI
PTF10iya: A short-lived, luminous flare from the nuclear region of a star-forming galaxy
S. Bradley Cenko,Joshua S. Bloom,Shrinivas R. Kulkarni,Linda E. Strubbe,Adam A. Miller,Nathaniel R. Butler,Robert M. Quimby,Avishay Gal-Yam,Eran O. Ofek,Eliot Quataert,Lars Bildsten,Dovi Poznanski,Dovi Poznanski,Dovi Poznanski,Daniel A. Perley,Adam N. Morgan,Alexei V. Filippenko,Dale A. Frail,Iair Arcavi,Sagi Ben-Ami,A. Cucchiara,A. Cucchiara,Christopher D. Fassnacht,Yoav Green,Isobel Hook,D. Andrew Howell,D. Andrew Howell,David J. Lagattuta,Nicholas M. Law,Mansi M. Kasliwal,Peter Nugent,Jeffrey M. Silverman,Mark Sullivan,Shriharsh P. Tendulkar,O. Yaron +34 more
TL;DR: In this paper, the authors presented the discovery and characterization of PTF10iya, a short-lived (Δt≈ 10 d) transient source with an optical decay rate of ∼ 0.3 mag d−1.