LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Mo phological analysis o
well- esol ed galaxies
Tamás KOVÁCS
join wo k wi h Zsol F ei and Balázs Pinczel
Eö ös Uni e si y, Budapes , Hunga y
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
In oduc ion & Mo i a ion
● Galaxy mo phology encodes s uc u e and
e olu ion (Conselice, 2004)
● Au oma ic me hods equi ed o massi e
su eys (LSST, ROMAN)
● Me hods o bulge-disk decomposi ion, spi al
a m de ec ion, and mo phological pa ame e s
● LSST will collec billions o galaxy image (I ezic, 2019)
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Implemen ed Me hodology
● Dep ojec ion o galaxies
● Bulge-disk decomposi ion and s a emo al
● Spi al a m de ec ion ia Fou ie modes (F ei, 1999)
● Mo phological desc ip o s o classi ica ion
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Implemen ed Me hodology
● Dep ojec ion o galaxies
image momen s s. silhoue es
b igh ness
pixels
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Implemen ed Me hodology
● Bulge-disk decomposi ion and s a emo al
Radial p o ile
R (a csec)
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Implemen ed Me hodology
● Spi al a m de ec ion ia Fou ie modes
ln (R)
azimu h angle azimu h angle
in ensi y
mode
P
F ei, 1999
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Implemen ed Me hodology
● Mo phological desc ip o s o classi ica ion
Nonpa ame ic measu es (CAS) & PCA
Chan a a , a Xi :2403.05003 1
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Applica ion o Rubin da a
● LSST: Au oma ed classi ica ion essen ial
● Me hods implemen ed scale o la ge su eys
● Enables:
– S a is ical galaxy mo phology s udies
– E olu ion o s uc u e o e cosmic ime
– T aining se s o machine lea ning models
LSST@Eu ope7 | Poznań, Poland | Sep embe 15 h-19 h, 2025 Glossa y & Ac onyms
Summa y and u u e wo k
● Implemen ed me hods in Py hon
● Robus mo phological desc ip o s con i med
● PCA highligh s key co ela ed pa ame e s
● LSST will bene i g ea ly om au oma ion
Nex s eps: scaling + GPU + ML in eg a ion
