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16 April 2024

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Results 1 to 9 of 9 for query "M.Ntampaka". (0.00 sec.)

1.

The Velocity Distribution Function of Galaxy Clusters as a Cosmological Probe
M. Ntampaka; H. Trac; J. Cisewski; L.C. Price;
4 Feb 2016

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2.

A Machine Learning Approach to the Census of Galaxy Clusters
Y. Su; Y. Zhang; G. Liang; J. A. ZuHone; D. J. Barnes; N. B. Jacobs; M. Ntampaka; W. R. Forman; P. E. J. Nulsen; R. P. Kraft; C. Jones;
10 Jul 2020

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3.

A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters
Matthew Ho; Markus Michael Rau; Michelle Ntampaka; Arya Farahi; Hy Trac; Barnabas Poczos;
15 Feb 2019

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4.

Dynamical Mass Measurements of Contaminated Galaxy Clusters Using Machine Learning
M. Ntampaka; H. Trac; D.J. Sutherland; S. Fromenteau; B. Poczos; J. Schneider;
17 Sep 2015

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5.

A Machine Learning Approach for Dynamical Mass Measurements of Galaxy Clusters
Michelle Ntampaka; Hy Trac; Dougal J. Sutherland; Nicholas Battaglia; Barnabas Poczos; Jeff Schneider;
2 Oct 2014

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6.

Increasing the Discovery Space in Astrophysics - A Collation of Six Submitted White Papers
G. Fabbiano; M. Elvis; A. Accomazzi; G. B. Berriman; N. Brickhouse; S. Bose; D. Carrera; I. Chilingarian; F. Civano; B. Czerny; R. D'Abrusco; B. Diemer; J. Drake; R. Emami Meibody. J. R. Farah; G. G. Fazio; E. Feigelson; F. Fornasini; Jay Gallagher; J. Grindlay; L. Hernquist; D. J. James; M. Karovska; V. Kashyap; D.-W. Kim; G. M. Lacy; J. Lazio; E. Lusso; W. P. Maksym; R. Martinez Galarza; J. Mazzarella; M. Ntampaka; G. Risaliti; D. Sanders; N. Scoville; I. Shapiro; A. Siemiginowska; A. Smth; S. Smith; A. Szentgyorgyi; S. Tacchella; A. Thakar; V. Tolls; S. Vrtilek; B. Wilkes; D. Wilner; S. P. Willner; S. J. Wolk; J.-H. Zhao;
15 Mar 2019

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7.

Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics
A.Siemiginowska; G. Eadie; I. Czekala; E. Feigelson; E.B. Ford; V. Kashyap; M. Kuhn; T.Loredo; M.Ntampaka; A. Stevens; A. Avelino; K. Borne; T. Budavari; B. Burkhart; J. Cisewski-Kehe; F. Civano; I. Chilingarian; D.A. van Dyk; G. Fabbiano; D. P. Finkbeiner; D. Foreman-Mackey; P. Freeman; A. Fruscione; A.A. Goodman; M. Graham; H.M. Guenther; J. Hakkila; L. Hernquist; D. Huppenkothen; D. J. James; C. Law; J. Lazio; T. Lee; M. López-Morales; A. A. Mahabal; K. Mandel; X.L. Meng; J. Moustakas; D. Muna; J. E. G. Peek; G.Richards; S. K.N. Portillo; J. Scargle; R. S. de Souza; J. S. Speagle; K. G. Stassun; D. C. Stenning; S. R. Taylor; G. R. Tremblay; V. Trimble; P.A. Yanamandra-Fisher; C. A. Young;
15 Mar 2019

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8.

SuperRAENN: A Semi-supervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium Deep Survey Supernovae
V. Ashley Villar; Griffin Hosseinzadeh; Edo Berger; Michelle Ntampaka; David O. Jones; Peter Challis; Ryan Chornock; Maria R. Drout; Ryan J. Foley; Robert P. Kirshner; Ragnhild Lunnan; Raffaella Margutti; Dan Milisavljevic; Nathan Sanders; Yen-Chen Pan; Armin Rest; Daniel M. Scolnic; Eugene Magnier; Nigel Metcalfe; Richard Wainscoat; Christopher Waters;
11 Aug 2020

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9.

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
Brian Nord; Andrew J. Connolly; Jamie Kinney; Jeremy Kubica; Gautaum Narayan; Joshua E. G. Peek; Chad Schafer; Erik J. Tollerud; Camille Avestruz; G. Jogesh Babu; Simon Birrer; Douglas Burke; João Caldeira; Douglas A. Caldwell; Joleen K. Carlberg; Yen-Chi Chen; Chuanfei Dong; Eric D. Feigelson; V. Zach Golkhou; Vinay Kashyap; T. S. Li; Thomas Loredo; Luisa Lucie-Smith; Kaisey S. Mandel; J. R. Martínez-Galarza; Adam A. Miller; Priyamvada Natarajan; Michelle Ntampaka; Andy Ptak; David Rapetti; Lior Shamir; Aneta Siemiginowska; Brigitta M. Sipőcz; Arfon M. Smith; Nhan Tran; Ricardo Vilalta; Lucianne M. Walkowicz; John ZuHone;
5 Nov 2019

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