Photometric Analysis for Predicting Star Formation Rates in Large Galaxies Using Machine Learning and Deep Learning Techniques
Fuente:
arXiv
Saved in:
| Main Authors: | Raghav, Satvik, Ayitapu, Prasanth, Narkedimilli, Sathwik, Makam, Sujith, H, Aswath Babu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting Stellar Metallicity: A Comparative Analysis of Regression Models for Solar Twin Stars
by: Narkedimilli, Sathwik, et al.
Published: (2024)
by: Narkedimilli, Sathwik, et al.
Published: (2024)
Explainable Galaxy Interaction Prediction with Hybrid Attention Mechanisms
by: Narkedimilli, Sathwik, et al.
Published: (2026)
by: Narkedimilli, Sathwik, et al.
Published: (2026)
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches
by: Narkedimilli, Sathwik, et al.
Published: (2025)
by: Narkedimilli, Sathwik, et al.
Published: (2025)
Calibrating Photometric Mid-Infrared Star Formation Rates for JWST
by: Alberts, Stacey, et al.
Published: (2026)
by: Alberts, Stacey, et al.
Published: (2026)
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
by: Aguilar-Argüello, G., et al.
Published: (2025)
by: Aguilar-Argüello, G., et al.
Published: (2025)
The Star Formation History of Nearby Galaxies: A Machine Learning Approach
by: Yang, Yujiao, et al.
Published: (2024)
by: Yang, Yujiao, et al.
Published: (2024)
The Impact of Shear on Disk Galaxy Star Formation Rates
by: Fortune-Bashee, Xena L., et al.
Published: (2024)
by: Fortune-Bashee, Xena L., et al.
Published: (2024)
Mapping the Galaxy Color-Star Formation Rate Relation with Manifold Learning and Infrared Image Stacking
by: Lin, Yu-Heng, et al.
Published: (2025)
by: Lin, Yu-Heng, et al.
Published: (2025)
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
by: Tortorelli, Luca, et al.
Published: (2026)
by: Tortorelli, Luca, et al.
Published: (2026)
Prediction of Star Formation Rates Using an Artificial Neural Network
by: Ayubinia, Ashraf, et al.
Published: (2024)
by: Ayubinia, Ashraf, et al.
Published: (2024)
Quantifying the Relationship Between Galaxy Specific Star Formation Rate And Halo Spin For Star-forming Galaxies
by: Xue, Wenxiao, et al.
Published: (2024)
by: Xue, Wenxiao, et al.
Published: (2024)
Connecting Star Formation in the Milky Way and Nearby Galaxies -II. An Observationally Driven Analytical Model for Predicting Cloud-Scale Star Formation Rates
by: Zhou, J. W., et al.
Published: (2025)
by: Zhou, J. W., et al.
Published: (2025)
Predicting Redshift in Seyfert Galaxies Using Machine Learning
by: Aydin, Uzay
Published: (2026)
by: Aydin, Uzay
Published: (2026)
Exploring the Current Star Formation Rate and Nebula Ratio of Star-Formation Galaxies at z < 0.4 with FADO
by: Yu, Yaosong, et al.
Published: (2024)
by: Yu, Yaosong, et al.
Published: (2024)
A Comparison of Star Formation Rates by Different Tracers in Nearby Galaxies
by: Le, Huynh Anh N., et al.
Published: (2025)
by: Le, Huynh Anh N., et al.
Published: (2025)
The Photometric Analysis of the Environment Around Two Dusty Star-Forming Galaxies at $z \sim 2$
by: Bhangal, Joe, et al.
Published: (2025)
by: Bhangal, Joe, et al.
Published: (2025)
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios
by: Narkedimilli, Sathwik, et al.
Published: (2024)
by: Narkedimilli, Sathwik, et al.
Published: (2024)
Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
by: Ding, Keyi, et al.
Published: (2025)
by: Ding, Keyi, et al.
Published: (2025)
Radio AGN Activity in Low Redshift Galaxies is Not Directly Related to Star Formation Rates
by: Suresh, Arjun, et al.
Published: (2024)
by: Suresh, Arjun, et al.
Published: (2024)
Finding Passive Galaxies in HI-MaNGA: The Impact of Star-Formation Rate Indicator
by: Salem, Nora, et al.
Published: (2024)
by: Salem, Nora, et al.
Published: (2024)
Suppression of Star Formation in Galaxy Pairs
by: Feng, Shuai, et al.
Published: (2024)
by: Feng, Shuai, et al.
Published: (2024)
Enhanced Star Formation and Black Hole Accretion Rates in Galaxy Mergers in IllustrisTNG50
by: Schechter, Aimee L., et al.
Published: (2025)
by: Schechter, Aimee L., et al.
Published: (2025)
Galaxy Transformation Across the Cosmic Web: Evolution of Stellar Colours and Star Formation Rates in Filaments
by: Zarattini, Stefano, et al.
Published: (2025)
by: Zarattini, Stefano, et al.
Published: (2025)
Strength in Numbers: Red Galaxies Bolster the Cosmic Star Formation Rate Density at z > 3
by: Barrufet, L., et al.
Published: (2025)
by: Barrufet, L., et al.
Published: (2025)
Resolved Profiles of Stellar Mass, Star Formation Rate, and Predicted CO-to-H$_2$ Conversion Factor Across Thousands of Local Galaxies
by: Sun, Jiayi, et al.
Published: (2025)
by: Sun, Jiayi, et al.
Published: (2025)
Machine Learning Classification of COSMOS2020 Galaxies: Quiescent vs. Star-Forming
by: Asadi, Vahid, et al.
Published: (2025)
by: Asadi, Vahid, et al.
Published: (2025)
DIISC-V: Variations in H$α$-to-FUV Star Formation Rate Ratios Across Star-forming Regions in Nearby Galaxies
by: Padave, Mansi, et al.
Published: (2024)
by: Padave, Mansi, et al.
Published: (2024)
Star Formation Histories of Dwarf Lenticular Galaxies
by: Ann, Hong Bae, et al.
Published: (2024)
by: Ann, Hong Bae, et al.
Published: (2024)
Molecular Gas Heating, Star Formation Rate Relations, and AGN Feedback in Infrared-luminous Galaxy Mergers
by: Farrah, Duncan, et al.
Published: (2025)
by: Farrah, Duncan, et al.
Published: (2025)
A Large-Scale Search for Photometrically Variable AGNs in Dwarf Galaxies Using the Young Supernova Experiment
by: Messick, Alexander, et al.
Published: (2025)
by: Messick, Alexander, et al.
Published: (2025)
Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data
by: Krishnakumar, Harish, et al.
Published: (2022)
by: Krishnakumar, Harish, et al.
Published: (2022)
TRINITY VI: Connection between Galaxy Star Formation Rates and Supermassive Black Hole Accretion Rates from z=0-10
by: Zhang, Haowen, et al.
Published: (2024)
by: Zhang, Haowen, et al.
Published: (2024)
Transferability of Photometric Redshifts Determined using Machine Learning
by: Janiurek, Lara, et al.
Published: (2024)
by: Janiurek, Lara, et al.
Published: (2024)
Scaling Relations across Galaxy Classification Schemes: I. Star Formation Rate-Stellar Mass Plane of CALIFA Nearby Galaxies
by: Kalinova, Veselina, et al.
Published: (2026)
by: Kalinova, Veselina, et al.
Published: (2026)
Spatially Resolved Star Formation Rate and Dust Attenuation of Nearby Galaxies from CALIFA, GALEX, and WISE Data
by: Lee, Jong Chul, et al.
Published: (2025)
by: Lee, Jong Chul, et al.
Published: (2025)
Specific Star Formation Rate Enhancement across the Galaxy Merger Sequence: Insights from Citizen Science Classifications
by: Lee, Jacob, et al.
Published: (2026)
by: Lee, Jacob, et al.
Published: (2026)
Gravitationally Bound Gas Determines Star Formation in the Galaxy
by: Jiao, Sihan, et al.
Published: (2025)
by: Jiao, Sihan, et al.
Published: (2025)
FEASTS: The Fate of Gas and Star Formation in Interacting Galaxies
by: Wang, Shun, et al.
Published: (2025)
by: Wang, Shun, et al.
Published: (2025)
Comparison of Photometric and Spectroscopic Labels in Classifying Dusty Stellar Sources Using Machine Learning in the Magellanic Clouds
by: Ghaziasgar, Sepideh, et al.
Published: (2025)
by: Ghaziasgar, Sepideh, et al.
Published: (2025)
AEOS: Star-by-Star Cosmological Simulations of Early Chemical Enrichment and Galaxy Formation
by: Brauer, Kaley, et al.
Published: (2024)
by: Brauer, Kaley, et al.
Published: (2024)
Similar Items
-
Predicting Stellar Metallicity: A Comparative Analysis of Regression Models for Solar Twin Stars
by: Narkedimilli, Sathwik, et al.
Published: (2024) -
Explainable Galaxy Interaction Prediction with Hybrid Attention Mechanisms
by: Narkedimilli, Sathwik, et al.
Published: (2026) -
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches
by: Narkedimilli, Sathwik, et al.
Published: (2025) -
Calibrating Photometric Mid-Infrared Star Formation Rates for JWST
by: Alberts, Stacey, et al.
Published: (2026) -
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
by: Aguilar-Argüello, G., et al.
Published: (2025)