Table 3.
Variations to the standard binning algorithm applied to each object in our sample.
| ID | Cluster | Flag | Logfac | NT |
|---|---|---|---|---|
| 1 | MCXC J0018.5+1626 | Y | 1.20 | 11 |
| 2 | MCXC J0030.5+2618 | N | – | 4 |
| 3 | MCXC J0221.1+1958 | Y | – | 4 |
| 4 | MCXC J0257.1–2326 | Y | 1.20 | 9 |
| 5 | MCXC J0417.5–1154 | Y | 1.40 | 8 |
| 6 | MCXC J0454.1–0300 | Y | 1.20 | 10 |
| 7 | MCXC J0522.2–3624 | N | – | 4 |
| 8 | MCXC J0647.8+7014 | Y | 0.00 | 10 |
| 10 | MCXC J0856.1+3756 | Y | – | 4 |
| 12 | MCXC J0943.1+4659 | Y | 1.20 | 9 |
| 13 | MCXC J0957.8+6534 | N | – | 4 |
| 14 | MCXC J1003.0+3254 | N | – | 4 |
| 15 | MCXC J1120.1+4318 | Y | – | 4 |
| 17 | MCXC J1206.2–0848 | Y | 1.20 | 13 |
| 18 | MCXC J1244.0+1653 | Y | 1.20 | 7 |
| 19 | MCXC J1311.5–0551 | N | – | 4 |
| 20 | MCXC J1347.5–1144 | Y | 1.20 | 12 |
| 21 | MCXC J1411.4+5212 | Y | 1.10 | 6 |
| 22 | MCXC J1423.7+2404 | Y | 1.20 | 8 |
| 23 | MCXC J1623.5+2634 | N | – | 4 |
| 24 | MCXC J1701.3+6414 | Y | 1.10 | 7 |
| 26 | MCXC J2146.0+0423 | N | – | 4 |
| 28 | MCXC J2228.6+2036 | Y | 1.20 | 11 |
| 29 | MCXC J2243.3–0935 | Y | 1.25 | 11 |
| 30 | MCXC J2328.8+1453 | N | – | 4 |
| 31 | MCXC J2359.5–3211 | N | – | 4 |
| 9 | MCXC J0717.5+3745 | Y | 1.30 | 10 |
| 11 | MCXC J0911.1+1746 | Y | 1.30 | 9 |
| 16 | MCXC J1149.5+2224 | Y | 1.30 | 6 |
| 27 | MCXC J2214.9–1400 | Y | 1.30 | 8 |
Notes. Except for the last four clusters, all binning runs have 30σ scientific S/N goal, minimum 3σ per output kT bin, and minimum two input SX bins per output kT bin. Clusters with too little data to construct at least four 30σkT bins have the output kT-bin count fixed to four instead. The profiles for the last four clusters listed at the end of the table are from the analysis of Bartalucci et al. (2019) who used a 20σ criterion. Cols. (1) and (2) ID number and name. Col. (3): Flag whether 4+ 30σkT bins is possible. Col. (4): Logarithmic binning factor. Col. (5): Optimised kT-bin count.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.