Hochschulschrift
Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
-
30 cm
- Extent
-
108 Seiten
- Language
-
Englisch
- Notes
-
Illustrationen, Diagramme
Publikationsbasierte Dissertation bestehend aus einem Text und 3 Zeitschriftenaufsätzen
Ruperto-Carola-University of Heidelberg, Dissertation, 2019
- Classification
-
Astronomie, Kartographie
- Event
-
Veröffentlichung
- (where)
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Heidelberg
- (when)
-
[2019?]
- Creator
- Contributor
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:34 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
Time of origin
- [2019?]
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Finding structures in photometric redshift surveys
Finding structures in photometric redshift surveys
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How to obtain the redshift distribution from probabilistic redshift estimates
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
Measuring our Universe from Galaxy Redshift Surveys
Radio Astronomy with Python: Gaussian Processes and Neural Networks applied to photometric redshift reconstruction
A study in redshift : simulating and calibrating cosmic shear surveys
Photometric redshifts and properties of galaxies from the sloan digital sky survey
Interstellar extinction from photometric surveys: application to four high-latitude areas
Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning
Finding structures in photometric redshift surveys
Finding structures in photometric redshift surveys
Photometric redshift estimation for precision cosmology
How to obtain the redshift distribution from probabilistic redshift estimates
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
Measuring our Universe from Galaxy Redshift Surveys
Radio Astronomy with Python: Gaussian Processes and Neural Networks applied to photometric redshift reconstruction
A study in redshift : simulating and calibrating cosmic shear surveys
Photometric redshifts and properties of galaxies from the sloan digital sky survey