Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning
Gespeichert in:
MARC
| LEADER | 00000cam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1665861487 | ||
| 003 | DE-627 | ||
| 005 | 20240817163401.0 | ||
| 007 | tu | ||
| 008 | 190517s2019 xx ||||| m 00| ||eng c | ||
| 035 | |a (DE-627)1665861487 | ||
| 035 | |a (DE-599)KXP1665861487 | ||
| 035 | |a (OCoLC)1135319897 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 522 |q SEPA | |
| 082 | 0 | 4 | |a 004 |a 520 |a 530 |
| 084 | |a 29 |2 sdnb | ||
| 084 | |a 29 |2 sdnb | ||
| 100 | 1 | |a D'Isanto, Antonio |d 1985- |e VerfasserIn |0 (DE-588)1179200764 |0 (DE-627)1066594090 |0 (DE-576)518046990 |4 aut | |
| 245 | 1 | 0 | |a Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning |c Put forward by Antonio D'Isanto ; referees: Prof. Dr. Joachim Wambsganß, Dr. Coryn Bailer-Jones |
| 264 | 1 | |a Heidelberg |c [2019?] | |
| 300 | |a 108 Seiten |b Illustrationen, Diagramme | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a Publikationsbasierte Dissertation bestehend aus einem Text und 3 Zeitschriftenaufsätzen | ||
| 502 | |b Dissertation |c Ruperto-Carola-University of Heidelberg |d 2019 | ||
| 546 | |a Mit einer Zusammenfassung in englischer und deutscher Sprache | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |f DISS |x XA-DE-BW |2 pdager |5 DE-16 | |
| 655 | 7 | |a Hochschulschrift |0 (DE-588)4113937-9 |0 (DE-627)105825778 |0 (DE-576)209480580 |2 gnd-content | |
| 700 | 1 | |a Wambsganß, Joachim |d 1961- |e AkademischeR BetreuerIn |0 (DE-588)122246861 |0 (DE-627)081826931 |0 (DE-576)293172137 |4 dgs | |
| 751 | |a Heidelberg |0 (DE-588)4023996-2 |0 (DE-627)106300814 |0 (DE-576)208952578 |4 uvp | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |a D'Isanto, Antonio, 1985 - |t Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning |d Heidelberg, 2019 |h 1 Online-Ressource (108 Seiten) |w (DE-627)1656013843 |w (DE-576)520197887 |
| 951 | |a BO | ||
| 992 | |a 20190520 | ||
| 993 | |a Thesis | ||
| 998 | |g 1179200764 |a D'Isanto, Antonio |m 1179200764:D'Isanto, Antonio |d 130000 |d 130001 |e 130000PD1179200764 |e 130001PD1179200764 |k 0/130000/ |k 1/130000/130001/ |p 1 |x j |y j | ||
| 999 | |a KXP-PPN1665861487 |e 3478355931 | ||
| BIB | |a Y | ||
| JSO | |a {"origin":[{"dateIssuedDisp":"[2019?]","dateIssuedKey":"2019","publisherPlace":"Heidelberg"}],"id":{"eki":["1665861487"]},"name":{"displayForm":["Put forward by Antonio D'Isanto ; referees: Prof. Dr. Joachim Wambsganß, Dr. Coryn Bailer-Jones"]},"physDesc":[{"noteIll":"Illustrationen, Diagramme","extent":"108 Seiten"}],"title":[{"title_sort":"Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning","title":"Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning"}],"person":[{"family":"D'Isanto","given":"Antonio","roleDisplay":"VerfasserIn","display":"D'Isanto, Antonio","role":"aut"},{"family":"Wambsganß","given":"Joachim","display":"Wambsganß, Joachim","roleDisplay":"AkademischeR BetreuerIn","role":"dgs"}],"noteThesis":["Dissertation. - Ruperto-Carola-University of Heidelberg. - 2019"],"type":{"bibl":"thesis"},"note":["Publikationsbasierte Dissertation bestehend aus einem Text und 3 Zeitschriftenaufsätzen"],"recId":"1665861487","language":["eng"]} | ||
| SRT | |a DISANTOANTPROBABILIS2019 | ||