Ушбу ишга иқтибос қилган ишлар

10 та иш

Иш: Bayesian-Based Iterative Method of Image Restoration*

1. Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

   P. Praveen, Francis Gracy Arockiaraj, Shivasubramanian Gopinath +14

   МақолаDigital Holography and MicroscopyPhotonics20223 иқтибос

   ABIABI:AkademIndex/openalex/2022.article.000110

2. Single-Shot 3D Incoherent Imaging Using Deterministic and Random Optical Fields with Lucy–Richardson–Rosen Algorithm

   Agnes Pristy Ignatius Xavier, Francis Gracy Arockiaraj, Shivasubramanian Gopinath +6

   МақолаDigital Holography and MicroscopyPhotonics20232 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.000441

3. PG 1115+080: variations of the A2/A1 flux ratio and new values of the time delays

   V. S. Tsvetkova, V. G. Vakulik, V. M. Shulga +15

   МақолаGalaxies: Formation, Evolution, PhenomenaMonthly Notices of the Royal Astronomical Society20102 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.250210

4. Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

   Praveen PA, Francis Gracy Arockiaraj, Shivasubramanian Gopinath +13

   ПрепринтImage Processing Techniques and ApplicationsPreprints.org20220 иқтибос

   ABIABI:AkademIndex/openalex/2022.preprint.000037

5. Deep deconvolution of object information transformed by a lens

   Shivasubramanian Gopinath, Praveen Periyasamy Angamuthu, Francis Gracy Arokiaraj +14

   МақолаDigital Holography and Microscopy20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.004568

6. Single Shot 3D Incoherent Imaging Using Deterministic and Random Optical Fields with Lucy-Richardson-Rosen Algorithm

   Agnes Pristy Ignatius Xavier, Francis Gracy Arockiaraj, Shivasubramanian Gopinath +6

   ПрепринтOrbital Angular Momentum in OpticsPreprints.org20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.preprint.000035

7. Search for jet quenching with dijets from high-multiplicity pPb collisions at $$\sqrt{{s}_{\text{NN}}}$$ = 8.16 TeV

   V. Chekhovsky, A. Hayrapetyan, В. Макаренко +96

   МақолаParticle physics theoretical and experimental studiesJournal of High Energy Physics20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.001101

8. Search for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at $$\sqrt{{s}_{\text{NN}}}$$ = 5.02 TeV

   V. Chekhovsky, A. Hayrapetyan, В. Макаренко +96

   МақолаParticle physics theoretical and experimental studiesJournal of High Energy Physics20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.003094

9. The <i>XMM</i> Cluster Survey: automating the estimation of hydrostatic mass for large samples of galaxy clusters – I. Methodology, validation, and application to the SDSSRM-XCS sample

   D J Turner, Paul Giles, A. K. Romer +16

   МақолаGalaxies: Formation, Evolution, PhenomenaMonthly Notices of the Royal Astronomical Society20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.003282

10. <i>Euclid</i> preparation

    W. Gillard, T. Maciaszek, Éric Prieto +97

    МақолаSensor Technology and Measurement SystemsAstronomy and Astrophysics20250 иқтибос

    ABIABI:AkademIndex/openalex/2025.article.009109