E-LIB Suche - Ergebnisse für: Lochner, Michelle

1

Enabling unsupervised discovery in astronomical images thro..:

Mohale, Koketso ; Lochner, Michelle
Monthly Notices of the Royal Astronomical Society. 530 (2024) 1 - p. 1274-1295 , 2024

Link: https://doi.org/10.1093/..

2

Impact of Rubin Observatory Cadence Choices on Supernovae P..:

Alves, Catarina S. ; Peiris, Hiranya V. ; Lochner, Michelle...
The Astrophysical Journal Supplement Series. 265 (2023) 2 - p. 43 , 2023

Link: https://doi.org/10.3847/..

3

Designing an Optimal LSST Deep Drilling Program for Cosmolo..:

Gris, Philippe ; Regnault, Nicolas ; Awan, Humna...
The Astrophysical Journal Supplement Series. 264 (2023) 1 - p. 22 , 2023

Link: https://doi.org/10.3847/..

4

Considerations for Optimizing the Photometric Classificatio..:

Alves, Catarina S. ; Peiris, Hiranya V. ; Lochner, Michelle...
The Astrophysical Journal Supplement Series. 258 (2022) 2 - p. 23 , 2022

Link: https://doi.org/10.3847/..

5

Real-time detection of anomalies in large-scale transient s..:

Muthukrishna, Daniel ; Mandel, Kaisey S ; Lochner, Michelle..
Monthly Notices of the Royal Astronomical Society. 517 (2022) 1 - p. 393-419 , 2022

Link: https://doi.org/10.1093/..

6

Practical galaxy morphology tools from deep supervised repr..:

Walmsley, Mike ; Scaife, Anna M M ; Lintott, Chris...
Monthly Notices of the Royal Astronomical Society. 513 (2022) 2 - p. 1581-1599 , 2022

Link: https://doi.org/10.1093/..

7

The Impact of Observing Strategy on Cosmological Constraint..:

Lochner, Michelle ; Scolnic, Dan ; Almoubayyed, Husni...
The Astrophysical Journal Supplement Series. 259 (2022) 2 - p. 58 , 2022

Link: https://doi.org/10.3847/..

8

Optimization of the Observing Cadence for the Rubin Observa..:

Bianco, Federica B. ; Ivezić, Željko ; Jones, R. Lynne...
The Astrophysical Journal Supplement Series. 258 (2021) 1 - p. 1 , 2021

Link: https://doi.org/10.3847/..

9

Multi-tasking the growth of cosmological structures:

Perenon, Louis ; Martinelli, Matteo ; Ilić, Stéphane...
Physics of the Dark Universe. 34 (2021) - p. 100898 , 2021

Link: https://doi.org/10.1016/..

10

Unsupervised machine learning for transient discovery in de..:

Webb, Sara ; Lochner, Michelle ; Muthukrishna, Daniel...
Monthly Notices of the Royal Astronomical Society. 498 (2020) 3 - p. 3077-3094 , 2020

Link: https://doi.org/10.1093/..

11

Bayesian Anomaly Detection and Classification for Noisy Dat:

, In: Advances in Intelligent Systems and Computing; Intelligent Systems Design and Applications,

Roberts, Ethan ; Bassett, Bruce A. ; Lochner, Michelle - p. 426-435 , 2020

Link: https://doi.org/10.1007/..

12

DeepSource: point source detection using deep learning:

Vafaei Sadr, A ; Vos, Etienne E ; Bassett, Bruce A...
Monthly Notices of the Royal Astronomical Society. 484 (2019) 2 - p. 2793-2806 , 2019

Link: https://doi.org/10.1093/..

13

Machine learning cosmological structure formation:

Lucie-Smith, Luisa ; Peiris, Hiranya V ; Pontzen, Andrew.
Monthly Notices of the Royal Astronomical Society. 479 (2018) 3 - p. 3405-3414 , 2018

Link: https://doi.org/10.1093/..

14

zBEAMS: a unified solution for supernova cosmology with red..:

Roberts, Ethan ; Lochner, Michelle ; Fonseca, José...
Journal of Cosmology and Astroparticle Physics. 2017 (2017) 10 - p. 036-036 , 2017

Link: https://doi.org/10.1088/..

15

Bayesian inference for radio observations:

Lochner, Michelle ; Natarajan, Iniyan ; Zwart, Jonathan T. L....
Monthly Notices of the Royal Astronomical Society. 450 (2015) 2 - p. 1308-1319 , 2015

Link: https://doi.org/10.1093/..