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Record
Title
Analysis of stellar spectra with machine learning
Type
Student Paper
Publ. year
2020
Author/s
Segovia Otero, Alvaro
Department/s
Lund Observatory - Has been reorganised; Department of Astronomy and Theoretical Physics - Has been reorganised
In LUP since
2020-09-07
Downloads

Total This Year This Month
964 252 6
 Downloads per Country

Sweden
192 (20%)
United States of America
159 (16%)
China
138 (14%)
Singapore
41 (4%)
India
40 (4%)
Australia
27 (3%)
Turkiye
24 (2%)
Germany
22 (2%)
Czechia
19 (2%)
Spain
18 (2%)
United Kingdom of Great Britain and Northern Ireland
18 (2%)
Brazil
17 (2%)
South Korea
14 (1%)
France
13 (1%)
Belgium
12 (1%)
Unknown
11 (1%)
Canada
11 (1%)
Iran
10 (1%)
Chile
10 (1%)
Viet Nam
9 (1%)
Italy
8 (1%)
Russian Federation
8 (1%)
Taiwan (China)
8 (1%)
Poland
8 (1%)
Norway
7 (1%)
Indonesia
7 (1%)
Hong Kong (China)
6 (1%)
Ukraine
6 (1%)
Thailand
6 (1%)
Kenya
6 (1%)
Austria
5 (1%)
Netherlands (Kingdom of the)
5 (1%)
Philippines
5 (1%)
Japan
4 (0%)
Uganda
3 (0%)
Estonia
3 (0%)
Lithuania
3 (0%)
Romania
3 (0%)
Malaysia
3 (0%)
Colombia
3 (0%)
Greece
3 (0%)
Pakistan
3 (0%)
Algeria
3 (0%)
South Africa
2 (0%)
Finland
2 (0%)
Portugal
2 (0%)
Oman
2 (0%)
Ireland
2 (0%)
Bangladesh
2 (0%)
Jordan
2 (0%)
Bulgaria
2 (0%)
Denmark
2 (0%)
Argentina
2 (0%)
Morocco
1 (0%)
Trinidad and Tobago
1 (0%)
Iraq
1 (0%)
Saudi Arabia
1 (0%)
Albania
1 (0%)
Latvia
1 (0%)
Bosnia and Herzegovina
1 (0%)
Azerbaijan
1 (0%)
Peru
1 (0%)
Cote d'Ivoire
1 (0%)
Cambodia
1 (0%)
Egypt
1 (0%)
Lebanon
1 (0%)
New Zealand
1 (0%)
Slovakia
1 (0%)
Sri Lanka
1 (0%)
Slovenia
1 (0%)
United Arab Emirates
1 (0%)
Senegal
1 (0%)
Mexico
1 (0%)
Hungary
1 (0%)
Angola
1 (0%)
Serbia
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-09-09 17:04:04