E-LIB Suche - Ergebnisse für: Morvan, Mario

1

Correcting Exoplanet Transmission Spectra for Stellar Activ..:

Thompson, Alexandra ; Biagini, Alfredo ; Cracchiolo, Gianluca...
The Astrophysical Journal. 960 (2024) 2 - p. 107 , 2024

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

2

Lessons learned from the 1st Ariel Machine Learning Challen..:

Nikolaou, Nikolaos ; Waldmann, Ingo P ; Tsiaras, Angelos...
RAS Techniques and Instruments. 2 (2023) 1 - p. 695-709 , 2023

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

3

The Transmission Spectrum of WASP-17 b From the Optical to ..:

Saba, Arianna ; Tsiaras, Angelos ; Morvan, Mario...
The Astronomical Journal. 164 (2022) 1 - p. 2 , 2022

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

4

An analysis of 45 large-scale wastewater sites in England t..:

Morvan, Mario ; Jacomo, Anna Lo ; Souque, Celia...
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

5

Understanding and managing uncertainty and variability for ..:

Wade, Matthew J. ; Lo Jacomo, Anna ; Armenise, Elena...
Journal of Hazardous Materials. 424 (2022) - p. 127456 , 2022

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

6

PyLightcurve-torch: a transit modeling package for deep lea..:

Morvan, Mario ; Tsiaras, Angelos ; Nikolaou, Nikolaos.
Publications of the Astronomical Society of the Pacific. 133 (2021) 1021 - p. 1-6 , 2021

Link: https://www.jstor.org/st..

7

PyLightcurve-torch: a transit modeling package for deep lea..:

Morvan, Mario ; Tsiaras, Angelos ; Nikolaou, Nikolaos.
Publications of the Astronomical Society of the Pacific. 133 (2021) 1021 - p. 034505 , 2021

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

8

Pushing the Limits of Exoplanet Discovery via Direct Imagin..:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Discovery in Databases,

Yip, Kai Hou ; Nikolaou, Nikolaos ; Coronica, Piero... - p. 322-338 , 2020

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

9

Correcting Exoplanet Transmission Spectra for Stellar Activ..:

Thompson, Alexandra ; Biagini, Alfredo ; Cracchiolo, Gianluca...
https://discovery.ucl.ac.uk/id/eprint/10185589/1/Thompson_2024_ApJ_960_107.pdf. , 2024

Link: https://discovery.ucl.ac..

10

Correcting Exoplanet Transmission Spectra for Stellar Activ..:

Thompson, Alexandra ; Biagini, Alfredo ; Cracchiolo, Gianluca...
http://arxiv.org/abs/2302.04574. , 2023

Link: http://arxiv.org/abs/230..

11

Lessons learned from the 1st Ariel Machine Learning Challen..:

Nikolaou, Nikolaos ; Waldmann, Ingo P ; Tsiaras, Angelos...
https://discovery.ucl.ac.uk/id/eprint/10181373/1/rzad050.pdf. , 2023

Link: https://discovery.ucl.ac..

12

Deep Learning, Shallow Dips: Transit light curves have neve..:

Morvan, Mario
https://discovery.ucl.ac.uk/id/eprint/10163203/1/Morvan_10163203_thesis_revised.pdf. , 2023

Link: https://discovery.ucl.ac..

13

ESA-Ariel Data Challenge NeurIPS 2022: Inferring Physical P..:

Yip, Kai Hou ; Waldmann, Ingo P ; Changeat, Quentin...
https://discovery.ucl.ac.uk/id/eprint/10154628/1/2206.14642v1.pdf. , 2022

Link: https://discovery.ucl.ac..

14

Understanding and managing uncertainty and variability for ..:

Wade, Matthew J ; Lo Jacomo, Anna ; Armenise, Elena...
https://researchportal.bath.ac.uk/en/publications/3868d7ea-a870-4e01-8b81-afb07b1ab9a5. , 2022

Link: https://researchportal.b..

15

Understanding and managing uncertainty and variability for ..:

Wade, Matthew J ; Lo Jacomo, Anna ; Armenise, Elena...
https://discovery.ucl.ac.uk/id/eprint/10156787/1/1-s2.0-S0304389421024249-main.pdf. , 2022

Link: https://discovery.ucl.ac..