Table 2
Results of power-law fits to the column density PDFs in the Ophiuchus subclouds.
Region | Range | Power law fit(†) | Cumulative power law fit(†) | αsph | αcyl |
---|---|---|---|---|---|
(cm−2) | dN/dlog![]() |
![]() |
|||
L1688 (single PL fit(††)) | 7 × 1021 ≤N(H2) | ![]() |
![]() |
1.8 | 1.5 |
L1688 (broken PL fit(††)) | 7 × 1021 ≤N(H2) ≤ 1.7 × 1022 | ![]() |
![]() |
2.5 | 1.8 |
1.7 × 1022 ≤N(H2) ≤ 7.8 × 1022 | ![]() |
![]() |
1.7 | 1.4 | |
L1689 (single PL fit) | 7 × 1021 ≤N(H2) | ![]() |
![]() |
2.0 | 1.5 |
L1689 (broken PL fit) | 7 × 1021 ≤N(H2) ≤ 4.9 × 1022 | ![]() |
![]() |
1.8 | 1.4 |
4.9 × 1022 ≤N(H2) | ![]() |
![]() |
2.1 | 1.6 | |
L1709 (singe PL fit) | 7 × 1021 ≤N(H2) | ![]() |
![]() |
2.0 | 1.5 |
Notes. (†) Power-law fits to both the differential and the cumulative PDF were performed for each column-density range given in Col. 2. (††) The results of single power-law (PL) fits are given for the whole range of column densities above
~ 7 × 1021 cm−2. Broken PL fits are also provided for the L1688 and L1689 PDFs. The break points were left free and identified using the MultivariateAdaptive Regression Splines technique (Friedman 1991) via its python implementation, py-earth.
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