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| 2MASS J22501628+0808245 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST18:51:23 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2013MNRAS.430.1171D |
15 | D | 1 | 101 | 37 | The sub-stellar birth rate from UKIDSS. | DAY-JONES A.C., MAROCCO F., PINFIELD D.J., et al. | ||
|
2015MNRAS.449.3651M |
16 | D | 6 | 271 | 33 | A large spectroscopic sample of L and T dwarfs from UKIDSS LAS: peculiar objects, binaries, and space density. | MAROCCO F., JONES H.R.A., DAY-JONES A.C., et al. | ||
|
2016ApJ...817..112S |
16 | D | 1 | 20555 | 25 | A proper motion survey using the first sky pass of NEOWISE-reactivation data. | SCHNEIDER A.C., GRECO J., CUSHING M.C., et al. | ||
|
2016A&A...589A..49S |
16 | D | 1 | 1371 | 27 | Photometric brown-dwarf classification. II. A homogeneous sample of 1361 L and T dwarfs brighter than J = 17.5 with accurate spectral types. | SKRZYPEK N., WARREN S.J. and FAHERTY J.K. | ||
| 2016ApJ...830..144R | 55 | D | X | 2 | 214 | 25 | A brown dwarf census from the SIMP survey. | ROBERT J., GAGNE J., ARTIGAU E., et al. | |
|
2019MNRAS.485.4423S |
219 | D | X | 6 | 737 | 39 | The Gaia ultracool dwarf sample - II. Structure at the end of the main sequence. | SMART R.L., MAROCCO F., SARRO L.M., et al. | |
|
2021A&A...649A...6G |
17 | D | 1 | 227180 | 168 | Gaia Early Data Release 3. The Gaia Catalogue of Nearby Stars. | GAIA COLLABORATION, SMART R.L., SARRO L.M., et al. | ||
|
2022A&A...664A.111B |
17 | D | 1 | 909 | 4 | Infrared spectroscopy of free-floating planet candidates in Upper Scorpius and Ophiuchus. | BOUY H., TAMURA M., BARRADO D., et al. | ||
|
2022ApJ...934..178A |
17 | D | 1 | 277 | 5 | Disentangling the Signatures of Blended-light Atmospheres in L/T Transition Brown Dwarfs. | ASHRAF A., BARDALEZ GAGLIUFFI D.C., MANJAVACAS E., et al. | ||
|
2025ApJ...992...93Z |
19 | D | 1 | 150 | ~ | Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs Using Machine Learning. | ZHOU T., THEISSEN C.A., FEESER S.J., et al. |