Skip to Content.
Sympa Menu

fizinfo - [Fizinfo] Szemináriumi meghívó / Invitation to a seminar -- Burak Ulaş (Konkoly Observatory) A Deep Learning Neural Network Algorithm for the Classification of Eclipsing Binary Light Curves -- Date: Feb 01, 2024 (Thursday)

fizinfo AT lists.kfki.hu

Subject: ELFT HÍRADÓ

List archive

[Fizinfo] Szemináriumi meghívó / Invitation to a seminar -- Burak Ulaş (Konkoly Observatory) A Deep Learning Neural Network Algorithm for the Classification of Eclipsing Binary Light Curves -- Date: Feb 01, 2024 (Thursday)


Chronological Thread 
  • From: Krisztián Vida <vidakris AT konkoly.hu>
  • To: seminar AT konkoly.hu
  • Subject: [Fizinfo] Szemináriumi meghívó / Invitation to a seminar -- Burak Ulaş (Konkoly Observatory) A Deep Learning Neural Network Algorithm for the Classification of Eclipsing Binary Light Curves -- Date: Feb 01, 2024 (Thursday)
  • Date: Sat, 27 Jan 2024 18:16:00 +0100 (CET)
  • Authentication-results: smtp012.wigner.hu (amavisd-new); dkim=pass (2048-bit key) header.d=konkoly.hu
  • Dkim-filter: OpenDKIM Filter v2.10.3 mail.csfk.org 7EE1A3217DCB

Szemináriumi meghívó / Invitation to a seminar
----------------------------------------------

CSFK CSI SZEMINÁRIUM / KONKOLY OBSERVATORY SEMINAR

Date: Feb 01, 2024 (Thursday) 14:00


Burak Ulaş (Konkoly Observatory): A Deep Learning Neural Network Algorithm
for the Classification of Eclipsing Binary Light Curves

Abstract:
Machine learning techniques strengthen their solid ground in various areas
from art to science every passing day. In the present, countless machine
learning applications let scientists achieve faster and more precise results
in many areas such as astrophysics where the researchers already made efforts
to detect, fit, and classify the light curves of binary systems using machine
and deep learning algorithms. In this talk, I present an image classification
algorithm using deep learning convolutional neural network architecture,
which classifies the morphologies of eclipsing binary systems based on their
light curves. The algorithm trains the machine with light curve images
generated from the observational data of eclipsing binary stars in contact,
detached and semi-detached morphologies, whose light curves are provided by
several catalogs. I give some details on the structure of the architecture
and discuss the parameters of the network layers and the quality of the
resulting metrics. I also plan to discourse upon an extended learning model
to estimate the light curve parameters beside geometrical configuration.

The seminar will be held live in the Detre hall with audience, but also
streamed online via Zoom. If you are unable to attend the presentation in
person, you can join us via this link
https://us06web.zoom.us/j/82806911982?pwd=SVZpT0syQ1J6dHBvSkF4N2dXNEQ0dz09
or the meeting ID: 828 0691 1982 and passcode: 206265



Everyone is welcome!

Krisztián Vida, Ramon Brasser
organizers



  • [Fizinfo] Szemináriumi meghívó / Invitation to a seminar -- Burak Ulaş (Konkoly Observatory) A Deep Learning Neural Network Algorithm for the Classification of Eclipsing Binary Light Curves -- Date: Feb 01, 2024 (Thursday), Krisztián Vida, 01/27/2024

Archive powered by MHonArc 2.6.19+.

Top of Page