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| PSZ2 G165.68+44.01 , the SIMBAD biblio (13 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST08:28:41 |
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
|
2014ApJ...785..104R |
15 | D | 1 | 72334 | 578 | redMaPPer. I. Algorithm and SDSS DR8 catalog. | RYKOFF E.S., ROZO E., BUSHA M.T., et al. | ||
|
2016ApJS..224....1R |
16 | D | 1 | 670875 | 246 | The redMaPPer galaxy cluster catalog from DES science verification data. | RYKOFF E.S., ROZO E., HOLLOWOOD D., et al. | ||
|
2016A&A...594A..27P |
16 | D | 1 | 1701 | 567 | Planck 2015 results. XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources. | PLANCK COLLABORATION, ADE P.A.R., AGHANIM N., et al. | ||
|
2017MNRAS.468.3322S |
16 | D | 1 | 28164 | 37 | CoMaLit - V. Mass forecasting with proxies: method and application to weak lensing calibrated samples. | SERENO M. and ETTORI S. | ||
|
2019ApJS..244...22H |
16 | D | 1 | 378 | 18 | Chandra follow-up of the SDSS DR8 redMaPPer catalog using the MATCha pipeline. | HOLLOWOOD D.L., JELTEMA T., CHEN X., et al. | ||
|
2022A&A...659A.126A |
17 | D | 1 | 377 | 6 | Velocity dispersion and dynamical masses for 388 galaxy clusters and groups. Calibrating the MSZ - Mdyn scaling relation for the PSZ2 sample. | AGUADO-BARAHONA A., RUBINO-MARTIN J.A., FERRAGAMO A., et al. | ||
|
2022A&A...660A..78B |
17 | D | 1 | 320 | 19 | The Planck clusters in the LOFAR sky. I. LoTSS-DR2: New detections and sample overview. | BOTTEON A., SHIMWELL T.W., CASSANO R., et al. | ||
|
2024ApJS..272....7B |
18 | D | 1 | 1653 | ~ | UPCluster-SZ: The Updated Catalog of Galaxy Clusters from the List of Planck Sunyaev-Zel'dovich Sources. | BAHK H. and HWANG H.S. | ||
| 2024ApJS..273....3A | 179 | X C | 3 | 6 | ~ | The R2D2 Deep Neural Network Series Paradigm for Fast Precision Imaging in Radio Astronomy. | AGHABIGLOU A., CHU C.S., DABBECH A., et al. | ||
| 2025MNRAS.542..426T | 140 | X F | 2 | 5 | ~ | S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging. | TAJJA A., AGHABIGLOU A., TOLLEY E., et al. | ||
| 2025MNRAS.543.1727L | 233 | X C F | 3 | 5 | ~ | MROP: modulated rank-one projections for compressive radio interferometric imaging. | LEBLANC O., CHU C.S., JACQUES L., et al. | ||
| 2025ApJS..280...63A | 47 | X | 1 | 5 | ~ | Toward a Robust R2D2 Paradigm for Radio-interferometric Imaging: Revisiting Deep Neural Network Training and Architecture. | AGHABIGLOU A., CHU C.S., TANG C., et al. | ||
|
2025A&A...704A.245B |
718 | D | S X C | 14 | 17 | ~ | Resurging from the ashes: A spectral study of seven candidate revived radio fossils in nearby low-mass galaxy clusters. | BRUNO L., BOTTEON A., DALLACASA D., et al. |