RS
R. Scalzo
astro-ph.COastro-ph.HEastro-ph.SRastro-phastro-ph.IMastro-ph.GAgr-qcadipocytecs.AIglucose
On Valency
published · living versionsW_4y85yqtd·v1 · currentpublished
Measuring cosmic bulk flows with Type Ia Supernovae from the Nearby Supernova Factory
with U. Feindt, M. Kerschhaggl, M. Kowalski, G. Aldering +31
1 version
Preprints & journals
75 papers in the corpus · 1998–2025Emergence of Computational Structure in a Neural Network Physics Simulator2504.11830v1 · Rohan Hitchcock, Gary W. Delaney, Jonathan H. Manton et al.2025 · 0 citationsarXiv
Semi-Supervised Learning for Lensed Quasar Detection2504.00054v2 · David Sweeney, Alberto Krone-Martins, Daniel Stern et al.2025 · 0 citationsarXiv
PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers2407.08222v1 · Xing Wang, Joel Janek Dabrowski, Josh Pinskier et al.2024 · 14 citationsarXiv
Observing the Galactic Underworld: Predicting photometry and astrometry from compact remnant microlensing events2403.14612v3 · David Sweeney, Peter Tuthill, Alberto Krone-Martins et al.2024 · 11 citationsarXiv
Fin-Bayes: A Multi-Objective Bayesian Optimization Framework for Soft Robotic Fingers.38498017 · Wang, Xing, Wang, Bing, Pinskier, Joshua et al.2024 · 19 citationsSoft robotics. 2024;11(5):791-801
Nonlinear wavefront reconstruction from a pyramid sensor using neural networks2311.02595v1 · Alison P. Wong, Barnaby R. M. Norris, Vincent Deo et al.2023 · 14 citationsarXiv
Learning the Lantern: Neural network applications to broadband photonic lantern modelling2108.13274v1 · David Sweeney, Barnaby R. M. Norris, Peter Tuthill et al.2021 · 7 citationsJournal of Astronomical Telescopes, Instruments, and Systems. 7(2) (2021) 1-20
Still Brighter than Pre-Explosion, SN 2012Z Did Not Disappear: Comparing Hubble Space Telescope Observations a Decade Apart2106.04602v2 · Curtis McCully, Saurabh W. Jha, Richard A. Scalzo et al.2021 · 34 citationsarXiv
SkyMapper Optical Follow-up of Gravitational Wave Triggers: Alert Science Data Pipeline and LIGO/Virgo O3 Run2102.07353v2 · Seo-Won Chang, Christopher A. Onken, Christian Wolf et al.2021 · 22 citationsarXiv
Erratum: Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin.33294794 · Quek, Lake-Ee, Krycer, James R, Ohno, Satoshi et al.2020 · 6 citationsiScience. 2020;23(12):101786
Insulin signaling requires glucose to promote lipid anabolism in adipocytes.32723868 · Krycer, James R, Quek, Lake-Ee, Francis, Deanne et al.2021 · 62 citationsThe Journal of biological chemistry. 2020;295(38):13250-13266
OzDES multi-object fibre spectroscopy for the Dark Energy Survey: Results and second data release2006.00449v1 · C. Lidman, B. E. Tucker, T. M. Davis et al.2020 · 86 citationsarXiv
Dynamic 13C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin.32058966 · Quek, Lake-Ee, Krycer, James R, Ohno, Satoshi et al.2024 · 32 citationsiScience. 2020;23(2):100855
The SAMI Galaxy Survey: Bayesian Inference for Gas Disk Kinematics using a Hierarchical Gaussian Mixture Model1903.03121v2 · Mathew R. Varidel, Scott M. Croom, Geraint F. Lewis et al.2019 · 19 citationsarXiv
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success1812.00318v1 · Richard Scalzo, David Kohn, Hugo Olierook et al.2018 · 0 citationsarXiv
Probing type Ia supernova properties using bolometric light curves from the Carnegie Supernova Project and the CfA Supernova Group1811.08969v1 · Richard A. Scalzo, Emilie Parent, Christopher Burns et al.2018 · 51 citationsarXiv
Computer vision-based framework for extracting geological lineaments from optical remote sensing data1810.02320v1 · Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook et al.2018 · 64 citationsarXiv
Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics1808.02763v2 · Jodie Pall, Rohitash Chandra, Danial Azam et al.2018 · 27 citationsEnvironmental Modelling and Software, 2020
SN 2012fr: Ultraviolet, Optical, and Near-Infrared Light Curves of a Type Ia Supernova Observed Within a Day of Explosion1803.10095v3 · Carlos Contreras, M. M. Phillips, Christopher R. Burns et al.2018 · 66 citationsarXiv
Dynamic Metabolomics Reveals that Insulin Primes the Adipocyte for Glucose Metabolism.29262332 · Krycer, James R, Yugi, Katsuyuki, Hirayama, Akiyoshi et al.2018 · 70 citationsCell reports. 2017;21(12):3536-3547
Follow up of GW170817 and its electromagnetic counterpart by Australian-led observing programs1710.05846v1 · I. Andreoni, K. Ackley, J. Cooke et al.2017 · 222 citationsarXiv
Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys1708.08947v1 · Fabian Gieseke, Steven Bloemen, Cas van den Bogaard et al.2017 · 43 citationsMonthly Notices of the Royal Astronomical Society, 2017
The ANU WiFeS SuperNovA Program (AWSNAP)1607.08526v1 · Michael J. Childress, Brad E. Tucker, Fang Yuan et al.2016 · 40 citationsarXiv
Supplement: Localization and broadband follow-up of the gravitational-wave transient GW1509141604.07864v3 · B. P. Abbott, R. Abbott, T. D. Abbott et al.2016 · 59 citationsThe Astrophysical Journal Supplement Series, 225:8 (15pp), 2016 July
On the nature of Hydrogen-rich Superluminous Supernovae1604.01226v2 · C. Inserra, S. J. Smartt, E. E. E. Gall et al.2016 · 107 citationsarXiv
Localization and broadband follow-up of the gravitational-wave transient GW1509141602.08492v4 · B. P. Abbott, R. Abbott, T. D. Abbott et al.2016 · 325 citationsThe Astrophysical Journal Letters, 826:L13 (8pp), 2016 July 20
Improving Cosmological Distance Measurements Using Twin Type Ia Supernovae1511.01102v2 · H. K. Fakhouri, K. Boone, G. Aldering et al.2015 · 67 citationsarXiv
Measuring nickel masses in Type Ia supernovae using cobalt emission in nebular phase spectra1507.02501v1 · Michael J. Childress, D. John Hillier, Ivo Seitenzahl et al.2015 · 93 citationsarXiv
Type Ia supernova Hubble diagram with near-infrared and optical observations1505.07707v2 · V. Stanishev, A. Goobar, R. Amanullah et al.2015 · 27 citationsA&A 615, A45 (2018)
OzDES multi-fibre spectroscopy for the Dark Energy Survey: first-year operation and results1504.03039v1 · Fang Yuan, C. Lidman, T. M. Davis et al.2015 · 103 citationsarXiv
On the diversity of super-luminous supernovae: ejected mass as the dominant factor1503.03310v4 · M. Nicholl, S. J. Smartt, A. Jerkstrand et al.2015 · 198 citationsMNRAS, 452, 3869 (2016)
Type Ia Supernova Distance Modulus Bias and Dispersion From K-correction Errors: A Direct Measurement Using Lightcurve Fits to Observed Spectral Time Series1412.5533v1 · C. Saunders, G. Aldering, P. Antilogus et al.2014 · 9 citationsarXiv
A metric space for type Ia supernova spectra1411.4424v1 · Michele Sasdelli, W. Hillebrandt, G. Aldering et al.2014 · 21 citationsarXiv
PESSTO : survey description and products from the first data release by the Public ESO Spectroscopic Survey of Transient Objects1411.0299v2 · S. J. Smartt, S. Valenti, M. Fraser et al.2014 · 358 citationsA&A 579, A40 (2015)
The ejected mass distribution of type Ia supernovae: A significant rate of non-Chandrasekhar-mass progenitors1408.6601v1 · R. A. Scalzo, A. J. Ruiter, S. A. Sim2014 · 130 citationsarXiv
Photometric redshift analysis in the Dark Energy Survey Science Verification data1406.4407v2 · C. S'anchez, M. Carrasco Kind, H. Lin et al.2014 · 178 citationsMNRAS 445, 1482-1506 (2014)
Early ultraviolet emission in the Type Ia supernova LSQ12gdj: No evidence for ongoing shock interaction1404.1002v2 · R. A. Scalzo, M. Childress, B. Tucker et al.2014 · 29 citationsarXiv
Ultraviolet Observations of Super-Chandrasekhar Mass Type Ia Supernova Candidates with Swift UVOT1404.0650v1 · Peter J. Brown, Paul Kuin, Richard Scalzo et al.2014 · 59 citationsarXiv
Type Ia supernova bolometric light curves and ejected mass estimates from the Nearby Supernova Factory1402.6842v1 · R. Scalzo, G. Aldering, P. Antilogus et al.2014 · 140 citationsMonthly Notices of the Royal Astronomical Society, Volume 440, Issue 2, pp.1498-1518 (2014)
Type Ia Supernova Hubble Residuals and Host-Galaxy Properties1401.3352v1 · A. G. Kim, G. Aldering, P. Antilogus et al.2014 · 13 citationsarXiv
Measuring cosmic bulk flows with Type Ia Supernovae from the Nearby Supernova Factory1310.4184v3 · U. Feindt, M. Kerschhaggl, M. Kowalski et al.2013 · 105 citationsA&A, 560, A90 (2013)on Valency
Evidence of Environmental Dependencies of Type Ia Supernovae from the Nearby Supernova Factory indicated by Local H{\alpha}1309.1182v2 · M. Rigault, Y. Copin, G. Aldering et al.2013 · 222 citationsarXiv
SN 2012ca: a stripped envelope core-collapse SN interacting with dense circumstellar medium1307.1791v2 · C. Inserra, S. J. Smartt, R. Scalzo et al.2013 · 27 citationsarXiv
Host Galaxies of Type Ia Supernovae from the Nearby Supernova Factory1304.4719v1 · M. J. Childress, G. Aldering, P. Antilogus et al.2013 · 85 citationsarXiv
Host Galaxy Properties and Hubble Residuals of Type Ia Supernovae from the Nearby Supernova Factory1304.4720v1 · M. J. Childress, G. Aldering, P. Antilogus et al.2013 · 186 citationsarXiv
'Super-Chandrasekhar' Type Ia Supernovae at nebular epochs1304.4952v2 · Stefan Taubenberger, Markus Kromer, Stephan Hachinger et al.2013 · 67 citationsarXiv
Locations of Peculiar Supernovae as a Diagnostic of Their Origins1304.2400v1 · Fang Yuan, Chiaki Kobayashi, Brian P. Schmidt et al.2013 · 38 citationsarXiv
PESSTO monitoring of SN 2012hn: further heterogeneity among faint type I supernovae1302.2983v2 · S. Valenti, F. Yuan, S. Taubenberger et al.2013 · 70 citationsarXiv
Standardizing Type Ia Supernova Absolute Magnitudes Using Gaussian Process Data Regression1302.2925v1 · A. G. Kim, R. C. Thomas, G. Aldering et al.2013 · 50 citationsarXiv
Spectroscopic Observations of SN 2012fr: A Luminous Normal Type Ia Supernova with Early High Velocity Features and Late Velocity Plateau1302.2926v2 · M. J. Childress, R. A. Scalzo, S. A. Sim et al.2013 · 85 citationsarXiv
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