0-0 S(3) (10 $\mu$m) | $4.9(-07)$ | $1.2(-04)$ | $1.5(-05)$ | $2.7(-06)$ | $8.0(-06)$ | $1.3(-05)$ | $1.7(-05)$ | $2.2(-05)$
0-0 S(4) (8.0 $\mu$m) | $2.7(-08)$ | $8.5(-05)$ | $5.5(-06)$ | $1.2(-06)$ | $3.3(-06)$ | $5.3(-06)$ | $7.1(-06)$ | $9.2(-06)$
0-0 S(5) (6.9 $\mu$m) | $2.8(-09)$ | $7.0(-06)$ | $1.5(-05)$ | $4.4(-06)$ | $1.1(-05)$ | $1.7(-05)$ | $2.3(-05)$ | $2.9(-05)$
0-0 S(6) (6.1 $\mu$m) | $8.6(-10)$ | $1.5(-06)$ | $6.2(-06)$ | $2.0(-06)$ | $3.8(-06)$ | $5.9(-06)$ | $7.8(-06)$ | $1.0(-05)$
0-0 S(7) (5.5 $\mu$m) | $2.5(-09)$ | $9.6(-08)$ | $1.6(-05)$ | $6.2(-06)$ | $1.1(-05)$ | $1.7(-05)$ | $2.2(-05)$ | $2.9(-05)$
0-0 S(8) (5.1 $\mu$m) | $7.4(-10)$ | $1.7(-08)$ | $8.7(-06)$ | $2.9(-06)$ | $3.8(-06)$ | $5.5(-06)$ | $7.3(-06)$ | $9.3(-06)$
0-0 S(9) (4.7 $\mu$m) | $2.1(-09)$ | $8.7(-09)$ | $2.2(-05)$ | $8.7(-06)$ | $1.0(-05)$ | $1.5(-05)$ | $1.9(-05)$ | $2.4(-05)$
1-0 S(0) (2.22 $\mu$m) | $5.3(-11)$ | $1.1(-07)$ | $6.2(-06)$ | $2.4(-06)$ | $1.4(-06)$ | $1.5(-06)$ | $1.7(-06)$ | $2.0(-06)$
1-0 S(1) (2.12 $\mu$m) | $3.0(-10)$ | $8.6(-08)$ | $2.2(-05)$ | $7.3(-06)$ | $5.8(-06)$ | $6.8(-06)$ | $7.9(-06)$ | $9.3(-06)$
1-0 S(2) (2.03 $\mu$m) | $1.4(-10)$ | $1.0(-07)$ | $1.5(-05)$ | $6.5(-06)$ | $3.2(-06)$ | $3.1(-06)$ | $3.6(-06)$ | $4.2(-06)$
1-0 S(3) (1.96 $\mu$m) | $5.6(-10)$ | $4.1(-08)$ | $3.0(-05)$ | $1.1(-05)$ | $7.8(-06)$ | $9.1(-06)$ | $1.1(-05)$ | $1.3(-05)$
2-1 S(0) (2.36 $\mu$m) | $2.2(-11)$ | $3.1(-09)$ | $2.6(-06)$ | $1.5(-06)$ | $4.7(-07)$ | $3.6(-07)$ | $3.9(-07)$ | $4.6(-07)$
2-1 S(1) (2.25 $\mu$m) | $1.2(-10)$ | $1.7(-09)$ | $8.2(-06)$ | $4.2(-06)$ | $1.7(-06)$ | $1.6(-06)$ | $1.9(-06)$ | $2.2(-06)$
2-1 S(2) (2.15 $\mu$m) | $5.4(-11)$ | $3.0(-09)$ | $7.4(-06)$ | $5.5(-06)$ | $1.9(-06)$ | $1.1(-06)$ | $9.5(-07)$ | $1.0(-06)$
2-1 S(3) (2.07 $\mu$m) | $1.9(-10)$ | $1.2(-09)$ | $1.3(-05)$ | $6.2(-06)$ | $2.4(-06)$ | $2.3(-06)$ | $2.7(-06)$ | $3.2(-06)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $4.1(-13)$ | $6.6(-13)$ | $7.0(-12)$ | $1.4(-08)$ | $3.3(-08)$ | $5.0(-08)$ | $8.4(-08)$ | $1.4(-07)$
0-0 (J=2-1) (180 $\mu$m) | $7.1(-13)$ | $1.2(-12)$ | $1.2(-11)$ | $1.6(-08)$ | $4.5(-08)$ | $7.4(-08)$ | $1.2(-07)$ | $1.9(-07)$
0-0 (J=3-2) (120 $\mu$m) | $8.3(-13)$ | $1.4(-12)$ | $1.4(-11)$ | $1.5(-08)$ | $4.5(-08)$ | $7.7(-08)$ | $1.2(-07)$ | $1.9(-07)$
1-0 (J=0-1) (3.69 $\mu$m) | $4.5(-14)$ | $5.6(-14)$ | $4.3(-13)$ | $1.1(-10)$ | $3.5(-10)$ | $6.9(-10)$ | $1.2(-09)$ | $1.8(-09)$
1-0 (J=1-0) (3.61 $\mu$m) | $4.5(-14)$ | $6.3(-14)$ | $5.2(-13)$ | $1.7(-10)$ | $5.0(-10)$ | $9.4(-10)$ | $1.6(-09)$ | $2.4(-09)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $8.9(-08)$ | $5.8(-08)$ | $8.2(-10)$ | $2.8(-08)$ | $5.1(-08)$ | $6.6(-08)$ | $9.0(-08)$ | $1.1(-07)$
J=2-1 (1300 $\mu$m) | $5.7(-07)$ | $9.7(-07)$ | $2.6(-08)$ | $4.2(-08)$ | $6.6(-08)$ | $1.6(-07)$ | $3.3(-07)$ | $4.8(-07)$
J=3-2 (867 $\mu$m) | $1.4(-06)$ | $2.7(-06)$ | $1.7(-07)$ | $3.1(-07)$ | $3.6(-07)$ | $9.4(-07)$ | $2.1(-06)$ | $3.0(-06)$
J=4-3 (650 $\mu$m) | $1.9(-06)$ | $4.0(-06)$ | $4.8(-07)$ | $5.4(-07)$ | $1.2(-06)$ | $2.9(-06)$ | $6.8(-06)$ | $1.0(-05)$
J=8-7 (434 $\mu$m) | $6.7(-07)$ | $2.4(-06)$ | $6.6(-07)$ | $7.9(-08)$ | $1.4(-06)$ | $6.0(-06)$ | $1.5(-05)$ | $2.6(-05)$
J=9-8 (372 $\mu$m) | $4.4(-07)$ | $1.8(-06)$ | $4.7(-07)$ | $5.2(-08)$ | $8.7(-07)$ | $3.9(-06)$ | $1.0(-05)$ | $1.8(-05)$
J=10-9 (325 $\mu$m) | $2.8(-07)$ | $1.3(-06)$ | $3.2(-07)$ | $3.4(-08)$ | $4.9(-07)$ | $2.2(-06)$ | $5.8(-06)$ | $1.1(-05)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | $1.9(-08)$ | $3.8(-04)$ | $1.8(-03)$ | $3.6(-03)$ | $6.1(-03)$ | $9.3(-03)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | $1.1(-09)$ | $1.9(-05)$ | $1.2(-04)$ | $3.3(-04)$ | $6.5(-04)$ | $1.1(-03)$
H$\alpha$ (6564.6 Å) | 0 | 0 | $1.3(-09)$ | $3.6(-05)$ | $1.4(-04)$ | $2.7(-04)$ | $4.4(-04)$ | $6.5(-04)$
2ph (¡2400 Å) | 0 | 0 | $3.9(-09)$ | $8.7(-05)$ | $3.9(-04)$ | $6.9(-04)$ | $1.1(-03)$ | $1.6(-03)$
Atomic fine structure lines
C+ (158 $\mu$m) | $9.1(-10)$ | $4.1(-10)$ | $6.5(-12)$ | $4.7(-07)$ | $3.5(-06)$ | $9.4(-06)$ | $1.7(-05)$ | $2.5(-05)$
C (609.8 $\mu$m) | $2.4(-09)$ | $1.4(-09)$ | $4.4(-08)$ | $1.6(-07)$ | $3.9(-07)$ | $4.8(-07)$ | $4.8(-07)$ | $4.7(-07)$
C (370.4 $\mu$m) | $7.0(-09)$ | $6.0(-09)$ | $3.0(-07)$ | $1.1(-06)$ | $2.5(-06)$ | $3.1(-06)$ | $3.1(-06)$ | $3.1(-06)$
O (145.5 $\mu$m) | $2.9(-07)$ | $4.2(-08)$ | $1.2(-07)$ | $2.1(-05)$ | $2.6(-05)$ | $2.9(-05)$ | $3.4(-05)$ | $4.0(-05)$
O (63.2 $\mu$m) | $2.6(-06)$ | $3.5(-07)$ | $1.9(-06)$ | $5.2(-04)$ | $7.2(-04)$ | $8.8(-04)$ | $1.1(-03)$ | $1.3(-03)$
S (25.3 $\mu$m) | $3.7(-07)$ | $1.6(-06)$ | $1.6(-06)$ | $6.2(-05)$ | $4.5(-05)$ | $3.1(-05)$ | $2.8(-05)$ | $2.9(-05)$
Si (68.5 $\mu$m) | $8.0(-09)$ | $2.0(-08)$ | $1.1(-07)$ | $2.4(-07)$ | $1.4(-07)$ | $1.4(-07)$ | $1.4(-07)$ | $1.5(-07)$
Si+ (34.8 $\mu$m) | $2.4(-09)$ | $2.4(-09)$ | $1.3(-08)$ | $1.6(-05)$ | $2.6(-05)$ | $3.4(-05)$ | $4.2(-05)$ | $5.3(-05)$
Atomic metastable lines
O (6300 Å) | $5.3(-15)$ | $6.1(-12)$ | $8.8(-11)$ | $6.2(-06)$ | $3.8(-05)$ | $6.5(-05)$ | $9.5(-05)$ | $1.3(-04)$
O (6364 Å) | $1.7(-15)$ | $2.0(-12)$ | $2.8(-11)$ | $2.0(-06)$ | $1.2(-05)$ | $2.1(-05)$ | $3.0(-05)$ | $4.2(-05)$
S+ (6731 Å) | $1.1(-15)$ | $5.5(-16)$ | $2.5(-13)$ | $4.7(-06)$ | $5.8(-05)$ | $1.3(-04)$ | $1.7(-04)$ | $2.1(-04)$
S+ (6716 Å) | $1.5(-15)$ | $8.0(-16)$ | $3.6(-13)$ | $5.8(-06)$ | $4.7(-05)$ | $7.9(-05)$ | $9.6(-05)$ | $1.1(-04)$
N (5200 Å) | $9.3(-16)$ | $2.4(-11)$ | $2.9(-12)$ | $2.7(-06)$ | $1.1(-05)$ | $7.6(-06)$ | $6.1(-06)$ | $7.6(-06)$
N (5198 Å) | $6.2(-16)$ | $1.6(-11)$ | $1.9(-12)$ | $2.2(-06)$ | $1.3(-05)$ | $1.1(-05)$ | $9.1(-06)$ | $1.2(-05)$

141414Numbers in parentheses denote powers of ten.

Table 12: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{4}$ cm-3, magnetic parameter
$b=1$, and no external radiation field. Emission is integrated only in the
postshock region (i.e. without radiative precursor) until the temperature
drops to 100 K. These lines are a subset of those output by the code.

$n_{\rm H}=10^{4}$ cm-3, $b=1$, $G_{0}=0$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $1.4(-05)$ | $1.4(-05)$ | $6.5(-07)$ | $1.1(-06)$ | $1.9(-06)$ | $2.8(-06)$ | $3.6(-06)$ | $4.3(-06)$
0-0 S(1) (17 $\mu$m) | $1.4(-05)$ | $6.1(-05)$ | $2.7(-06)$ | $5.0(-06)$ | $1.1(-05)$ | $2.3(-05)$ | $3.8(-05)$ | $5.8(-05)$
0-0 S(2) (12 $\mu$m) | $2.4(-04)$ | $8.3(-04)$ | $5.8(-06)$ | $6.1(-06)$ | $6.9(-06)$ | $1.0(-05)$ | $1.8(-05)$ | $3.1(-05)$
0-0 S(3) (10 $\mu$m) | $1.2(-05)$ | $4.8(-04)$ | $6.5(-05)$ | $8.0(-05)$ | $8.5(-05)$ | $8.6(-05)$ | $9.7(-05)$ | $1.2(-04)$
0-0 S(4) (8.0 $\mu$m) | $1.5(-05)$ | $2.3(-03)$ | $3.5(-05)$ | $4.8(-05)$ | $5.8(-05)$ | $6.2(-05)$ | $6.7(-05)$ | $7.2(-05)$
0-0 S(5) (6.9 $\mu$m) | $8.8(-08)$ | $3.7(-04)$ | $1.1(-04)$ | $1.6(-04)$ | $2.0(-04)$ | $2.2(-04)$ | $2.4(-04)$ | $2.6(-04)$
0-0 S(6) (6.1 $\mu$m) | $1.8(-08)$ | $7.0(-04)$ | $4.2(-05)$ | $5.8(-05)$ | $7.4(-05)$ | $8.7(-05)$ | $9.7(-05)$ | $1.0(-04)$
0-0 S(7) (5.5 $\mu$m) | $5.7(-09)$ | $3.6(-05)$ | $1.1(-04)$ | $1.6(-04)$ | $2.1(-04)$ | $2.5(-04)$ | $2.8(-04)$ | $2.9(-04)$
0-0 S(8) (5.1 $\mu$m) | $1.6(-09)$ | $2.8(-05)$ | $4.1(-05)$ | $5.4(-05)$ | $6.9(-05)$ | $8.2(-05)$ | $9.3(-05)$ | $9.9(-05)$
0-0 S(9) (4.7 $\mu$m) | $4.6(-09)$ | $9.4(-07)$ | $1.0(-04)$ | $1.4(-04)$ | $1.8(-04)$ | $2.1(-04)$ | $2.4(-04)$ | $2.6(-04)$
1-0 S(0) (2.22 $\mu$m) | $1.9(-10)$ | $3.8(-06)$ | $1.1(-05)$ | $1.4(-05)$ | $2.0(-05)$ | $2.5(-05)$ | $3.1(-05)$ | $3.6(-05)$
1-0 S(1) (2.12 $\mu$m) | $6.8(-10)$ | $1.8(-06)$ | $4.5(-05)$ | $5.8(-05)$ | $8.1(-05)$ | $1.0(-04)$ | $1.2(-04)$ | $1.4(-04)$
1-0 S(2) (2.03 $\mu$m) | $3.4(-10)$ | $5.9(-06)$ | $2.4(-05)$ | $2.7(-05)$ | $3.6(-05)$ | $4.5(-05)$ | $5.3(-05)$ | $5.9(-05)$
1-0 S(3) (1.96 $\mu$m) | $1.3(-09)$ | $1.4(-06)$ | $6.3(-05)$ | $7.8(-05)$ | $1.0(-04)$ | $1.3(-04)$ | $1.5(-04)$ | $1.6(-04)$
2-1 S(0) (2.36 $\mu$m) | $4.8(-11)$ | $1.7(-07)$ | $3.6(-06)$ | $3.0(-06)$ | $3.6(-06)$ | $4.2(-06)$ | $4.7(-06)$ | $5.0(-06)$
2-1 S(1) (2.25 $\mu$m) | $2.7(-10)$ | $5.7(-08)$ | $1.3(-05)$ | $1.2(-05)$ | $1.5(-05)$ | $1.8(-05)$ | $2.0(-05)$ | $2.1(-05)$
2-1 S(2) (2.15 $\mu$m) | $1.2(-10)$ | $2.3(-07)$ | $9.0(-06)$ | $6.8(-06)$ | $7.7(-06)$ | $9.0(-06)$ | $1.0(-05)$ | $1.1(-05)$
2-1 S(3) (2.07 $\mu$m) | $4.3(-10)$ | $4.3(-08)$ | $2.1(-05)$ | $1.8(-05)$ | $2.2(-05)$ | $2.6(-05)$ | $2.8(-05)$ | $2.9(-05)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $6.1(-13)$ | $8.4(-13)$ | $4.5(-09)$ | $2.0(-07)$ | $1.0(-06)$ | $2.7(-06)$ | $4.7(-06)$ | $7.0(-06)$
0-0 (J=2-1) (180 $\mu$m) | $1.0(-12)$ | $1.5(-12)$ | $8.0(-09)$ | $3.5(-07)$ | $2.0(-06)$ | $5.5(-06)$ | $1.0(-05)$ | $1.7(-05)$
0-0 (J=3-2) (120 $\mu$m) | $1.2(-12)$ | $1.7(-12)$ | $1.1(-08)$ | $3.7(-07)$ | $2.2(-06)$ | $6.4(-06)$ | $1.2(-05)$ | $1.9(-05)$
1-0 (J=0-1) (3.69 $\mu$m) | $6.6(-14)$ | $3.3(-14)$ | $1.1(-10)$ | $3.1(-09)$ | $2.0(-08)$ | $5.9(-08)$ | $1.1(-07)$ | $1.7(-07)$
1-0 (J=1-0) (3.61 $\mu$m) | $6.9(-14)$ | $4.0(-14)$ | $1.7(-10)$ | $4.4(-09)$ | $2.8(-08)$ | $7.9(-08)$ | $1.5(-07)$ | $2.3(-07)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $1.2(-07)$ | $5.3(-08)$ | $2.8(-08)$ | $1.8(-07)$ | $2.8(-07)$ | $3.0(-07)$ | $3.2(-07)$ | $3.2(-07)$
J=2-1 (1300 $\mu$m) | $1.1(-06)$ | $1.1(-06)$ | $1.4(-07)$ | $6.8(-07)$ | $2.0(-06)$ | $3.0(-06)$ | $3.9(-06)$ | $4.6(-06)$
J=3-2 (867 $\mu$m) | $4.9(-06)$ | $6.3(-06)$ | $4.8(-07)$ | $2.6(-06)$ | $6.6(-06)$ | $7.8(-06)$ | $9.2(-06)$ | $9.4(-06)$
J=4-3 (650 $\mu$m) | $1.4(-05)$ | $2.0(-05)$ | $1.4(-06)$ | $8.5(-06)$ | $2.2(-05)$ | $2.6(-05)$ | $3.0(-05)$ | $3.1(-05)$
J=8-7 (434 $\mu$m) | $2.2(-05)$ | $6.6(-05)$ | $9.2(-06)$ | $6.3(-05)$ | $1.9(-04)$ | $2.6(-04)$ | $3.2(-04)$ | $3.7(-04)$
J=9-8 (372 $\mu$m) | $1.7(-05)$ | $5.8(-05)$ | $8.9(-06)$ | $6.4(-05)$ | $2.1(-04)$ | $3.1(-04)$ | $4.0(-04)$ | $4.7(-04)$
J=10-9 (325 $\mu$m) | $1.2(-05)$ | $4.6(-05)$ | $7.4(-06)$ | $5.7(-05)$ | $2.1(-04)$ | $3.4(-04)$ | $4.6(-04)$ | $5.7(-04)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | $6.5(-06)$ | $7.0(-03)$ | $2.0(-02)$ | $3.9(-02)$ | $6.7(-02)$ | $1.0(-01)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | $4.3(-08)$ | $2.5(-04)$ | $1.3(-03)$ | $3.3(-03)$ | $6.6(-03)$ | $1.1(-02)$
H$\alpha$ (6564.6 Å) | 0 | 0 | $8.3(-07)$ | $6.4(-04)$ | $1.5(-03)$ | $2.8(-03)$ | $4.4(-03)$ | $6.5(-03)$
2ph (¡2400 Å) | 0 | 0 | $6.2(-06)$ | $1.9(-03)$ | $3.8(-03)$ | $6.4(-03)$ | $9.3(-03)$ | $1.2(-02)$
Atomic fine structure lines
C+ (158 $\mu$m) | $4.7(-10)$ | $1.3(-10)$ | $5.0(-08)$ | $2.2(-06)$ | $8.1(-06)$ | $1.6(-05)$ | $2.5(-05)$ | $3.6(-05)$
C (609.8 $\mu$m) | $3.8(-10)$ | $8.8(-11)$ | $1.2(-06)$ | $1.1(-06)$ | $7.3(-07)$ | $4.9(-07)$ | $4.3(-07)$ | $3.7(-07)$
C (370.4 $\mu$m) | $1.3(-09)$ | $2.6(-10)$ | $8.8(-06)$ | $8.2(-06)$ | $5.5(-06)$ | $3.9(-06)$ | $3.5(-06)$ | $3.1(-06)$
O (145.5 $\mu$m) | $3.8(-06)$ | $2.6(-07)$ | $1.7(-04)$ | $1.8(-04)$ | $2.1(-04)$ | $2.4(-04)$ | $2.9(-04)$ | $3.4(-04)$
O (63.2 $\mu$m) | $3.7(-05)$ | $2.4(-06)$ | $6.7(-03)$ | $7.5(-03)$ | $8.6(-03)$ | $1.0(-02)$ | $1.2(-02)$ | $1.4(-02)$
S (25.3 $\mu$m) | $8.1(-06)$ | $1.6(-05)$ | $2.3(-03)$ | $1.8(-03)$ | $1.3(-03)$ | $1.1(-03)$ | $1.1(-03)$ | $1.3(-03)$
Si (68.5 $\mu$m) | $2.1(-08)$ | $2.7(-08)$ | $5.3(-05)$ | $3.9(-06)$ | $2.9(-06)$ | $2.2(-06)$ | $1.8(-06)$ | $1.6(-06)$
Si+ (34.8 $\mu$m) | $2.2(-09)$ | $1.3(-09)$ | $3.8(-05)$ | $3.7(-04)$ | $5.2(-04)$ | $7.0(-04)$ | $9.1(-04)$ | $1.2(-03)$
Atomic metastable lines
O (6300 Å) | $2.7(-14)$ | $1.2(-11)$ | $8.5(-05)$ | $2.2(-04)$ | $5.0(-04)$ | $8.6(-04)$ | $1.3(-03)$ | $1.8(-03)$
O (6364 Å) | $8.5(-15)$ | $3.9(-12)$ | $2.7(-05)$ | $7.2(-05)$ | $1.6(-04)$ | $2.8(-04)$ | $4.2(-04)$ | $5.8(-04)$
S+ (6731 Å) | $9.7(-16)$ | $3.5(-16)$ | $5.8(-08)$ | $1.3(-04)$ | $3.6(-04)$ | $5.1(-04)$ | $6.1(-04)$ | $7.2(-04)$
S+ (6716 Å) | $1.4(-15)$ | $5.0(-16)$ | $8.2(-08)$ | $9.0(-05)$ | $2.0(-04)$ | $2.7(-04)$ | $3.3(-04)$ | $3.9(-04)$
N (5200 Å) | $1.7(-14)$ | $1.1(-10)$ | $5.2(-07)$ | $4.1(-05)$ | $3.7(-05)$ | $2.5(-05)$ | $2.4(-05)$ | $3.0(-05)$
N (5198 Å) | $1.1(-14)$ | $7.1(-11)$ | $3.5(-07)$ | $5.3(-05)$ | $5.7(-05)$ | $3.9(-05)$ | $3.8(-05)$ | $4.7(-05)$

151515Numbers in parentheses denote powers of ten.

Table 13: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{5}$ cm-3, magnetic parameter
$b=1$, and no external radiation field. Emission is integrated only in the
postshock region (i.e. without radiative precursor) until the temperature
drops to 100 K. These lines are a subset of those output by the code.

$n_{\rm H}=10^{5}$ cm-3, $b=1$, $G_{0}=0$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $2.6(-05)$ | $1.3(-05)$ | $1.1(-05)$ | $1.4(-05)$ | $1.6(-05)$ | $1.8(-05)$ | $1.9(-05)$ | $2.1(-05)$
0-0 S(1) (17 $\mu$m) | $2.8(-05)$ | $1.7(-04)$ | $2.5(-04)$ | $3.6(-04)$ | $4.4(-04)$ | $5.1(-04)$ | $5.7(-04)$ | $6.2(-04)$
0-0 S(2) (12 $\mu$m) | $8.3(-04)$ | $1.1(-03)$ | $1.6(-04)$ | $2.7(-04)$ | $3.4(-04)$ | $4.1(-04)$ | $4.7(-04)$ | $5.4(-04)$
0-0 S(3) (10 $\mu$m) | $1.1(-04)$ | $1.9(-03)$ | $4.2(-04)$ | $8.2(-04)$ | $1.1(-03)$ | $1.4(-03)$ | $1.7(-03)$ | $2.0(-03)$
0-0 S(4) (8.0 $\mu$m) | $7.4(-04)$ | $6.3(-03)$ | $1.4(-04)$ | $2.2(-04)$ | $2.9(-04)$ | $3.8(-04)$ | $4.6(-04)$ | $5.5(-04)$
0-0 S(5) (6.9 $\mu$m) | $2.3(-05)$ | $4.6(-03)$ | $4.4(-04)$ | $5.5(-04)$ | $6.7(-04)$ | $8.2(-04)$ | $9.9(-04)$ | $1.2(-03)$
0-0 S(6) (6.1 $\mu$m) | $3.5(-05)$ | $1.1(-02)$ | $2.0(-04)$ | $2.2(-04)$ | $2.4(-04)$ | $2.7(-04)$ | $3.1(-04)$ | $3.4(-04)$
0-0 S(7) (5.5 $\mu$m) | $3.0(-07)$ | $3.8(-03)$ | $6.4(-04)$ | $6.7(-04)$ | $7.2(-04)$ | $7.8(-04)$ | $8.5(-04)$ | $9.2(-04)$
0-0 S(8) (5.1 $\mu$m) | $1.2(-07)$ | $6.0(-03)$ | $2.4(-04)$ | $2.6(-04)$ | $2.7(-04)$ | $3.0(-04)$ | $3.2(-04)$ | $3.4(-04)$
0-0 S(9) (4.7 $\mu$m) | $2.7(-08)$ | $1.1(-03)$ | $6.8(-04)$ | $7.3(-04)$ | $7.8(-04)$ | $8.4(-04)$ | $9.1(-04)$ | $9.6(-04)$
1-0 S(0) (2.22 $\mu$m) | $2.2(-08)$ | $2.7(-04)$ | $1.0(-04)$ | $1.2(-04)$ | $1.5(-04)$ | $1.8(-04)$ | $2.1(-04)$ | $2.4(-04)$
1-0 S(1) (2.12 $\mu$m) | $1.0(-08)$ | $2.1(-04)$ | $3.4(-04)$ | $4.0(-04)$ | $4.9(-04)$ | $5.8(-04)$ | $6.9(-04)$ | $8.0(-04)$
1-0 S(2) (2.03 $\mu$m) | $2.1(-08)$ | $5.5(-04)$ | $1.4(-04)$ | $1.6(-04)$ | $1.8(-04)$ | $2.1(-04)$ | $2.4(-04)$ | $2.7(-04)$
1-0 S(3) (1.96 $\mu$m) | $8.5(-09)$ | $2.5(-04)$ | $3.8(-04)$ | $4.2(-04)$ | $4.9(-04)$ | $5.5(-04)$ | $6.2(-04)$ | $6.9(-04)$
2-1 S(0) (2.36 $\mu$m) | $3.2(-10)$ | $1.4(-05)$ | $1.3(-05)$ | $1.3(-05)$ | $1.4(-05)$ | $1.6(-05)$ | $1.7(-05)$ | $1.9(-05)$
2-1 S(1) (2.25 $\mu$m) | $1.5(-09)$ | $9.5(-06)$ | $5.0(-05)$ | $5.4(-05)$ | $6.0(-05)$ | $6.7(-05)$ | $7.2(-05)$ | $7.8(-05)$
2-1 S(2) (2.15 $\mu$m) | $7.1(-10)$ | $2.6(-05)$ | $2.8(-05)$ | $2.8(-05)$ | $3.1(-05)$ | $3.4(-05)$ | $3.6(-05)$ | $3.9(-05)$
2-1 S(3) (2.07 $\mu$m) | $2.4(-09)$ | $1.0(-05)$ | $7.2(-05)$ | $7.5(-05)$ | $8.3(-05)$ | $9.1(-05)$ | $9.8(-05)$ | $1.1(-04)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $1.1(-12)$ | $1.1(-12)$ | $3.3(-08)$ | $2.2(-06)$ | $1.0(-05)$ | $2.4(-05)$ | $3.8(-05)$ | $5.3(-05)$
0-0 (J=2-1) (180 $\mu$m) | $1.8(-12)$ | $2.0(-12)$ | $8.3(-08)$ | $8.3(-06)$ | $4.4(-05)$ | $1.1(-04)$ | $2.1(-04)$ | $3.1(-04)$
0-0 (J=3-2) (120 $\mu$m) | $2.0(-12)$ | $2.3(-12)$ | $1.1(-07)$ | $1.0(-05)$ | $5.6(-05)$ | $1.5(-04)$ | $2.8(-04)$ | $4.4(-04)$
1-0 (J=0-1) (3.69 $\mu$m) | $2.7(-14)$ | $4.2(-14)$ | $1.1(-09)$ | $8.1(-08)$ | $4.5(-07)$ | $1.2(-06)$ | $2.3(-06)$ | $3.6(-06)$
1-0 (J=1-0) (3.61 $\mu$m) | $3.2(-14)$ | $5.0(-14)$ | $1.7(-09)$ | $1.1(-07)$ | $6.2(-07)$ | $1.6(-06)$ | $3.1(-06)$ | $4.9(-06)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $9.6(-08)$ | $5.6(-08)$ | $6.6(-08)$ | $1.3(-07)$ | $1.5(-07)$ | $1.7(-07)$ | $1.8(-07)$ | $1.9(-07)$
J=2-1 (1300 $\mu$m) | $9.2(-07)$ | $7.6(-07)$ | $1.3(-06)$ | $2.1(-06)$ | $3.4(-06)$ | $4.2(-06)$ | $4.8(-06)$ | $5.2(-06)$
J=3-2 (867 $\mu$m) | $4.8(-06)$ | $4.0(-06)$ | $8.0(-06)$ | $9.3(-06)$ | $1.6(-05)$ | $2.2(-05)$ | $2.7(-05)$ | $3.1(-05)$
J=4-3 (650 $\mu$m) | $2.1(-05)$ | $1.5(-05)$ | $2.9(-05)$ | $2.8(-05)$ | $4.4(-05)$ | $6.1(-05)$ | $7.6(-05)$ | $8.8(-05)$
J=8-7 (434 $\mu$m) | $2.5(-04)$ | $2.6(-04)$ | $4.2(-04)$ | $4.1(-04)$ | $5.9(-04)$ | $7.7(-04)$ | $9.2(-04)$ | $1.0(-03)$
J=9-8 (372 $\mu$m) | $2.9(-04)$ | $3.6(-04)$ | $6.1(-04)$ | $5.7(-04)$ | $8.5(-04)$ | $1.1(-03)$ | $1.4(-03)$ | $1.5(-03)$
J=10-9 (325 $\mu$m) | $3.1(-04)$ | $4.6(-04)$ | $8.1(-04)$ | $7.3(-04)$ | $1.1(-03)$ | $1.5(-03)$ | $1.9(-03)$ | $2.1(-03)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | $2.4(-04)$ | $8.1(-02)$ | $2.3(-01)$ | $4.7(-01)$ | $8.0(-01)$ | $1.3(+00)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | $1.6(-06)$ | $2.6(-03)$ | $1.3(-02)$ | $3.4(-02)$ | $6.6(-02)$ | $1.1(-01)$
H$\alpha$ (6564.6 Å) | 0 | 0 | $4.1(-04)$ | $6.2(-03)$ | $1.5(-02)$ | $2.8(-02)$ | $4.5(-02)$ | $6.8(-02)$
2ph (¡2400 Å) | 0 | 0 | $2.5(-03)$ | $1.8(-02)$ | $2.7(-02)$ | $3.5(-02)$ | $4.4(-02)$ | $5.3(-02)$
Atomic fine structure lines
C+ (158 $\mu$m) | $1.0(-10)$ | $2.2(-11)$ | $8.1(-08)$ | $6.5(-06)$ | $2.0(-05)$ | $3.7(-05)$ | $5.4(-05)$ | $7.1(-05)$
C (609.8 $\mu$m) | $1.9(-11)$ | $3.6(-12)$ | $1.7(-06)$ | $2.4(-06)$ | $1.8(-06)$ | $1.3(-06)$ | $8.6(-07)$ | $6.3(-07)$
C (370.4 $\mu$m) | $8.9(-11)$ | $1.5(-11)$ | $1.4(-05)$ | $1.9(-05)$ | $1.5(-05)$ | $1.1(-05)$ | $7.4(-06)$ | $5.5(-06)$
O (145.5 $\mu$m) | $7.0(-06)$ | $1.0(-06)$ | $9.1(-04)$ | $1.0(-03)$ | $1.0(-03)$ | $1.0(-03)$ | $1.0(-03)$ | $1.1(-03)$
O (63.2 $\mu$m) | $1.1(-04)$ | $1.6(-05)$ | $3.7(-02)$ | $4.2(-02)$ | $4.2(-02)$ | $4.2(-02)$ | $4.2(-02)$ | $4.4(-02)$
S (25.3 $\mu$m) | $1.5(-04)$ | $1.6(-04)$ | $3.9(-02)$ | $3.6(-02)$ | $3.4(-02)$ | $3.4(-02)$ | $3.5(-02)$ | $3.7(-02)$
Si (68.5 $\mu$m) | $2.0(-08)$ | $2.8(-08)$ | $2.3(-04)$ | $6.1(-05)$ | $4.1(-05)$ | $3.3(-05)$ | $3.1(-05)$ | $2.9(-05)$
Si+ (34.8 $\mu$m) | $2.9(-09)$ | $9.0(-10)$ | $1.1(-03)$ | $3.3(-03)$ | $3.8(-03)$ | $4.2(-03)$ | $4.6(-03)$ | $5.1(-03)$
Atomic metastable lines
O (6300 Å) | $5.3(-14)$ | $1.8(-11)$ | $3.8(-03)$ | $4.1(-03)$ | $7.1(-03)$ | $1.1(-02)$ | $1.5(-02)$ | $1.9(-02)$
O (6364 Å) | $1.7(-14)$ | $5.9(-12)$ | $1.2(-03)$ | $1.3(-03)$ | $2.3(-03)$ | $3.5(-03)$ | $4.8(-03)$ | $6.1(-03)$
S+ (6731 Å) | $3.2(-16)$ | $1.5(-16)$ | $8.2(-06)$ | $5.6(-04)$ | $1.2(-03)$ | $2.0(-03)$ | $2.9(-03)$ | $4.0(-03)$
S+ (6716 Å) | $4.8(-16)$ | $2.1(-16)$ | $9.8(-06)$ | $3.4(-04)$ | $8.6(-04)$ | $1.5(-03)$ | $2.2(-03)$ | $3.1(-03)$
N (5200 Å) | $9.4(-14)$ | $2.3(-10)$ | $1.1(-04)$ | $1.3(-04)$ | $1.3(-04)$ | $1.4(-04)$ | $1.8(-04)$ | $2.4(-04)$
N (5198 Å) | $6.2(-14)$ | $1.5(-10)$ | $8.7(-05)$ | $1.8(-04)$ | $1.7(-04)$ | $1.6(-04)$ | $2.0(-04)$ | $2.8(-04)$

161616Numbers in parentheses denote powers of ten.

Table 14: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{6}$ cm-3, magnetic parameter
$b=1$, and no external radiation field. Emission is integrated only in the
postshock region (i.e. without radiative precursor) until the temperature
drops to 100 K. These lines are a subset of those output by the code.

$n_{\rm H}=10^{6}$ cm-3, $b=1$, $G_{0}=0$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $4.4(-05)$ | $1.0(-05)$ | $2.8(-05)$ | $3.9(-05)$ | $4.3(-05)$ | $4.6(-05)$ | $4.9(-05)$ | $5.1(-05)$
0-0 S(1) (17 $\mu$m) | $6.6(-05)$ | $3.1(-04)$ | $6.6(-04)$ | $1.2(-03)$ | $1.4(-03)$ | $1.5(-03)$ | $1.6(-03)$ | $1.8(-03)$
0-0 S(2) (12 $\mu$m) | $1.7(-03)$ | $9.9(-04)$ | $4.2(-04)$ | $9.6(-04)$ | $1.2(-03)$ | $1.3(-03)$ | $1.5(-03)$ | $1.6(-03)$
0-0 S(3) (10 $\mu$m) | $3.7(-04)$ | $4.4(-03)$ | $1.1(-03)$ | $3.0(-03)$ | $3.9(-03)$ | $4.7(-03)$ | $5.3(-03)$ | $5.9(-03)$
0-0 S(4) (8.0 $\mu$m) | $3.1(-03)$ | $7.0(-03)$ | $2.6(-04)$ | $6.5(-04)$ | $8.8(-04)$ | $1.1(-03)$ | $1.3(-03)$ | $1.5(-03)$
0-0 S(5) (6.9 $\mu$m) | $2.8(-04)$ | $1.4(-02)$ | $6.9(-04)$ | $1.1(-03)$ | $1.4(-03)$ | $1.7(-03)$ | $2.1(-03)$ | $2.5(-03)$
0-0 S(6) (6.1 $\mu$m) | $1.1(-03)$ | $1.7(-02)$ | $3.8(-04)$ | $3.1(-04)$ | $3.3(-04)$ | $3.7(-04)$ | $4.1(-04)$ | $4.7(-04)$
0-0 S(7) (5.5 $\mu$m) | $4.3(-05)$ | $2.1(-02)$ | $1.4(-03)$ | $1.0(-03)$ | $1.0(-03)$ | $1.0(-03)$ | $1.0(-03)$ | $1.1(-03)$
0-0 S(8) (5.1 $\mu$m) | $6.8(-05)$ | $2.1(-02)$ | $7.0(-04)$ | $4.9(-04)$ | $4.6(-04)$ | $4.5(-04)$ | $4.4(-04)$ | $4.4(-04)$
0-0 S(9) (4.7 $\mu$m) | $1.3(-06)$ | $1.7(-02)$ | $2.2(-03)$ | $1.6(-03)$ | $1.6(-03)$ | $1.6(-03)$ | $1.6(-03)$ | $1.6(-03)$
1-0 S(0) (2.22 $\mu$m) | $3.4(-06)$ | $6.8(-03)$ | $3.9(-04)$ | $3.5(-04)$ | $3.8(-04)$ | $4.3(-04)$ | $4.8(-04)$ | $5.3(-04)$
1-0 S(1) (2.12 $\mu$m) | $1.0(-06)$ | $1.2(-02)$ | $9.3(-04)$ | $9.4(-04)$ | $1.0(-03)$ | $1.2(-03)$ | $1.3(-03)$ | $1.5(-03)$
1-0 S(2) (2.03 $\mu$m) | $3.3(-06)$ | $1.4(-02)$ | $3.3(-04)$ | $3.1(-04)$ | $3.2(-04)$ | $3.5(-04)$ | $3.8(-04)$ | $4.3(-04)$
1-0 S(3) (1.96 $\mu$m) | $5.2(-07)$ | $1.4(-02)$ | $8.7(-04)$ | $7.9(-04)$ | $7.9(-04)$ | $8.3(-04)$ | $8.8(-04)$ | $9.6(-04)$
2-1 S(0) (2.36 $\mu$m) | $1.5(-08)$ | $7.3(-04)$ | $3.0(-05)$ | $2.7(-05)$ | $2.6(-05)$ | $2.7(-05)$ | $2.7(-05)$ | $2.8(-05)$
2-1 S(1) (2.25 $\mu$m) | $1.5(-08)$ | $1.2(-03)$ | $1.1(-04)$ | $1.0(-04)$ | $9.9(-05)$ | $1.0(-04)$ | $1.0(-04)$ | $1.0(-04)$
2-1 S(2) (2.15 $\mu$m) | $1.6(-08)$ | $1.5(-03)$ | $6.4(-05)$ | $5.4(-05)$ | $5.3(-05)$ | $5.3(-05)$ | $5.3(-05)$ | $5.4(-05)$
2-1 S(3) (2.07 $\mu$m) | $2.0(-08)$ | $1.4(-03)$ | $1.6(-04)$ | $1.4(-04)$ | $1.3(-04)$ | $1.3(-04)$ | $1.3(-04)$ | $1.4(-04)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $1.3(-12)$ | $8.8(-13)$ | $8.0(-08)$ | $1.4(-06)$ | $6.2(-06)$ | $1.4(-05)$ | $2.1(-05)$ | $2.8(-05)$
0-0 (J=2-1) (180 $\mu$m) | $2.9(-12)$ | $2.4(-12)$ | $7.4(-07)$ | $2.5(-05)$ | $1.3(-04)$ | $3.4(-04)$ | $5.6(-04)$ | $8.1(-04)$
0-0 (J=3-2) (120 $\mu$m) | $3.4(-12)$ | $3.1(-12)$ | $1.2(-06)$ | $5.3(-05)$ | $2.9(-04)$ | $8.2(-04)$ | $1.5(-03)$ | $2.3(-03)$
1-0 (J=0-1) (3.69 $\mu$m) | $3.5(-14)$ | $5.6(-14)$ | $1.3(-08)$ | $6.1(-07)$ | $3.5(-06)$ | $1.0(-05)$ | $2.0(-05)$ | $3.5(-05)$
1-0 (J=1-0) (3.61 $\mu$m) | $4.1(-14)$ | $6.6(-14)$ | $2.0(-08)$ | $8.3(-07)$ | $4.7(-06)$ | $1.4(-05)$ | $2.7(-05)$ | $4.7(-05)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $1.0(-07)$ | $6.3(-08)$ | $9.2(-08)$ | $1.5(-07)$ | $1.5(-07)$ | $1.7(-07)$ | $1.8(-07)$ | $1.8(-07)$
J=2-1 (1300 $\mu$m) | $1.1(-06)$ | $7.6(-07)$ | $2.0(-06)$ | $3.1(-06)$ | $3.7(-06)$ | $4.6(-06)$ | $4.8(-06)$ | $5.0(-06)$
J=3-2 (867 $\mu$m) | $6.5(-06)$ | $4.1(-06)$ | $1.4(-05)$ | $1.9(-05)$ | $2.2(-05)$ | $2.8(-05)$ | $3.1(-05)$ | $3.3(-05)$
J=4-3 (650 $\mu$m) | $2.9(-05)$ | $1.5(-05)$ | $5.2(-05)$ | $7.0(-05)$ | $8.0(-05)$ | $1.0(-04)$ | $1.1(-04)$ | $1.2(-04)$
J=8-7 (434 $\mu$m) | $4.7(-04)$ | $2.9(-04)$ | $8.8(-04)$ | $1.4(-03)$ | $1.5(-03)$ | $1.7(-03)$ | $1.9(-03)$ | $2.0(-03)$
J=9-8 (372 $\mu$m) | $6.8(-04)$ | $4.6(-04)$ | $1.3(-03)$ | $2.1(-03)$ | $2.3(-03)$ | $2.6(-03)$ | $2.8(-03)$ | $3.0(-03)$
J=10-9 (325 $\mu$m) | $9.3(-04)$ | $6.7(-04)$ | $1.7(-03)$ | $2.9(-03)$ | $3.2(-03)$ | $3.7(-03)$ | $4.0(-03)$ | $4.3(-03)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | $5.3(-02)$ | $9.2(-01)$ | $2.7(+00)$ | $5.5(+00)$ | $9.1(+00)$ | $1.4(+01)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | $1.7(-05)$ | $2.7(-02)$ | $1.4(-01)$ | $3.4(-01)$ | $6.7(-01)$ | $1.1(+00)$
H$\alpha$ (6564.6 Å) | 0 | 0 | $5.0(-03)$ | $6.5(-02)$ | $1.4(-01)$ | $2.8(-01)$ | $4.6(-01)$ | $6.8(-01)$
2ph (¡2400 Å) | 0 | 0 | $3.1(-02)$ | $8.7(-02)$ | $8.1(-02)$ | $9.3(-02)$ | $1.1(-01)$ | $1.2(-01)$
Atomic fine structure lines
C+ (158 $\mu$m) | $1.5(-11)$ | $2.6(-12)$ | $1.0(-07)$ | $8.2(-06)$ | $2.4(-05)$ | $4.7(-05)$ | $6.6(-05)$ | $8.6(-05)$
C (609.8 $\mu$m) | $1.5(-12)$ | $1.9(-13)$ | $2.0(-06)$ | $1.7(-06)$ | $1.6(-06)$ | $1.3(-06)$ | $1.0(-06)$ | $7.8(-07)$
C (370.4 $\mu$m) | $9.5(-12)$ | $1.2(-12)$ | $1.8(-05)$ | $1.5(-05)$ | $1.4(-05)$ | $1.2(-05)$ | $9.1(-06)$ | $7.0(-06)$
O (145.5 $\mu$m) | $8.7(-06)$ | $1.7(-06)$ | $1.6(-03)$ | $1.7(-03)$ | $1.7(-03)$ | $1.7(-03)$ | $1.7(-03)$ | $1.8(-03)$
O (63.2 $\mu$m) | $3.1(-04)$ | $5.4(-05)$ | $6.5(-02)$ | $7.0(-02)$ | $7.1(-02)$ | $7.2(-02)$ | $7.3(-02)$ | $7.5(-02)$
S (25.3 $\mu$m) | $1.5(-03)$ | $1.0(-03)$ | $1.4(-01)$ | $1.4(-01)$ | $1.3(-01)$ | $1.3(-01)$ | $1.3(-01)$ | $1.3(-01)$
Si (68.5 $\mu$m) | $7.1(-09)$ | $2.1(-08)$ | $2.6(-04)$ | $3.1(-04)$ | $2.7(-04)$ | $2.5(-04)$ | $2.4(-04)$ | $2.4(-04)$
Si+ (34.8 $\mu$m) | $1.5(-09)$ | $2.1(-10)$ | $2.4(-03)$ | $5.0(-03)$ | $5.9(-03)$ | $6.7(-03)$ | $7.1(-03)$ | $7.6(-03)$
Atomic metastable lines
O (6300 Å) | $8.2(-14)$ | $2.5(-11)$ | $7.8(-02)$ | $6.2(-02)$ | $7.7(-02)$ | $9.5(-02)$ | $1.1(-01)$ | $1.3(-01)$
O (6364 Å) | $2.6(-14)$ | $8.0(-12)$ | $2.5(-02)$ | $2.0(-02)$ | $2.5(-02)$ | $3.0(-02)$ | $3.6(-02)$ | $4.1(-02)$
S+ (6731 Å) | $5.8(-17)$ | $5.1(-17)$ | $1.0(-04)$ | $1.6(-03)$ | $6.3(-03)$ | $1.4(-02)$ | $2.1(-02)$ | $2.7(-02)$
S+ (6716 Å) | $8.5(-17)$ | $7.1(-17)$ | $7.1(-05)$ | $1.2(-03)$ | $4.4(-03)$ | $8.6(-03)$ | $1.1(-02)$ | $1.5(-02)$
N (5200 Å) | $2.1(-13)$ | $3.4(-10)$ | $7.7(-04)$ | $5.5(-04)$ | $7.1(-04)$ | $8.6(-04)$ | $9.8(-04)$ | $1.2(-03)$
N (5198 Å) | $1.4(-13)$ | $2.3(-10)$ | $8.2(-04)$ | $6.2(-04)$ | $8.8(-04)$ | $1.2(-03)$ | $1.5(-03)$ | $1.8(-03)$

171717Numbers in parentheses denote powers of ten.

Table 15: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{2}$ cm-3, magnetic parameter
$b=1$, and external radiation field $G_{0}=10^{3}$. Emission is integrated
only in the postshock region (i.e. without radiative precursor) until the
temperature drops to 100 K. These lines are a subset of those output by the
code.

$n_{\rm H}=10^{2}$ cm-3, $b=1$, $G_{0}=10^{3}$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $4.2(-12)$ | $5.9(-12)$ | $9.7(-12)$ | $1.2(-11)$ | $1.6(-11)$ | $2.1(-11)$ | $2.3(-11)$ | $2.9(-11)$
0-0 S(1) (17 $\mu$m) | $3.9(-10)$ | $5.5(-10)$ | $9.0(-10)$ | $1.1(-09)$ | $1.5(-09)$ | $1.9(-09)$ | $2.1(-09)$ | $2.7(-09)$
0-0 S(2) (12 $\mu$m) | $8.2(-10)$ | $1.2(-09)$ | $2.0(-09)$ | $2.4(-09)$ | $3.3(-09)$ | $4.2(-09)$ | $4.7(-09)$ | $6.0(-09)$
0-0 S(3) (10 $\mu$m) | $6.8(-09)$ | $1.1(-08)$ | $1.7(-08)$ | $2.2(-08)$ | $2.9(-08)$ | $3.8(-08)$ | $4.3(-08)$ | $5.5(-08)$
0-0 S(4) (8.0 $\mu$m) | $3.5(-09)$ | $6.0(-09)$ | $9.9(-09)$ | $1.3(-08)$ | $1.7(-08)$ | $2.2(-08)$ | $2.5(-08)$ | $3.2(-08)$
0-0 S(5) (6.9 $\mu$m) | $1.2(-08)$ | $2.3(-08)$ | $3.8(-08)$ | $4.9(-08)$ | $6.6(-08)$ | $8.5(-08)$ | $9.7(-08)$ | $1.2(-07)$
0-0 S(6) (6.1 $\mu$m) | $3.9(-09)$ | $8.5(-09)$ | $1.4(-08)$ | $1.8(-08)$ | $2.4(-08)$ | $3.0(-08)$ | $3.5(-08)$ | $4.4(-08)$
0-0 S(7) (5.5 $\mu$m) | $1.1(-08)$ | $2.5(-08)$ | $4.2(-08)$ | $5.5(-08)$ | $7.3(-08)$ | $9.2(-08)$ | $1.1(-07)$ | $1.3(-07)$
0-0 S(8) (5.1 $\mu$m) | $3.1(-09)$ | $8.1(-09)$ | $1.4(-08)$ | $1.8(-08)$ | $2.3(-08)$ | $2.9(-08)$ | $3.3(-08)$ | $4.0(-08)$
0-0 S(9) (4.7 $\mu$m) | $8.7(-09)$ | $2.1(-08)$ | $3.7(-08)$ | $4.8(-08)$ | $6.3(-08)$ | $7.8(-08)$ | $8.9(-08)$ | $1.1(-07)$
1-0 S(0) (2.22 $\mu$m) | $8.0(-09)$ | $1.3(-08)$ | $2.1(-08)$ | $2.5(-08)$ | $3.3(-08)$ | $4.2(-08)$ | $4.7(-08)$ | $5.9(-08)$
1-0 S(1) (2.12 $\mu$m) | $3.3(-08)$ | $5.4(-08)$ | $8.8(-08)$ | $1.1(-07)$ | $1.4(-07)$ | $1.8(-07)$ | $2.0(-07)$ | $2.6(-07)$
1-0 S(2) (2.03 $\mu$m) | $1.2(-08)$ | $2.1(-08)$ | $3.4(-08)$ | $4.3(-08)$ | $5.6(-08)$ | $7.1(-08)$ | $7.9(-08)$ | $9.8(-08)$
1-0 S(3) (1.96 $\mu$m) | $2.7(-08)$ | $5.2(-08)$ | $8.7(-08)$ | $1.1(-07)$ | $1.4(-07)$ | $1.8(-07)$ | $2.0(-07)$ | $2.5(-07)$
2-1 S(0) (2.36 $\mu$m) | $4.0(-09)$ | $5.8(-09)$ | $9.4(-09)$ | $1.1(-08)$ | $1.4(-08)$ | $1.8(-08)$ | $1.9(-08)$ | $2.4(-08)$
2-1 S(1) (2.25 $\mu$m) | $1.6(-08)$ | $2.4(-08)$ | $3.9(-08)$ | $4.7(-08)$ | $6.1(-08)$ | $7.6(-08)$ | $8.3(-08)$ | $1.0(-07)$
2-1 S(2) (2.15 $\mu$m) | $5.8(-09)$ | $9.1(-09)$ | $1.5(-08)$ | $1.8(-08)$ | $2.3(-08)$ | $2.9(-08)$ | $3.2(-08)$ | $3.9(-08)$
2-1 S(3) (2.07 $\mu$m) | $1.2(-08)$ | $2.2(-08)$ | $3.5(-08)$ | $4.4(-08)$ | $5.6(-08)$ | $6.9(-08)$ | $7.6(-08)$ | $9.3(-08)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $4.9(-12)$ | $2.5(-11)$ | $2.2(-11)$ | $1.6(-11)$ | $7.4(-11)$ | $1.5(-10)$ | $2.4(-10)$ | $3.4(-10)$
0-0 (J=2-1) (180 $\mu$m) | $5.3(-12)$ | $3.2(-11)$ | $8.3(-11)$ | $1.5(-10)$ | $2.6(-10)$ | $3.7(-10)$ | $5.0(-10)$ | $6.4(-10)$
0-0 (J=3-2) (120 $\mu$m) | $4.8(-12)$ | $3.4(-11)$ | $8.6(-11)$ | $1.6(-10)$ | $2.5(-10)$ | $3.5(-10)$ | $4.6(-10)$ | $6.0(-10)$
1-0 (J=0-1) (3.69 $\mu$m) | $3.2(-14)$ | $4.7(-13)$ | $9.8(-13)$ | $1.5(-12)$ | $2.1(-12)$ | $2.8(-12)$ | $3.6(-12)$ | $4.7(-12)$
1-0 (J=1-0) (3.61 $\mu$m) | $3.6(-14)$ | $5.8(-13)$ | $8.2(-13)$ | $9.3(-13)$ | $1.3(-12)$ | $1.8(-12)$ | $2.6(-12)$ | $3.8(-12)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $7.8(-19)$ | $3.9(-17)$ | $8.1(-17)$ | $1.2(-16)$ | $1.7(-16)$ | $2.2(-16)$ | $2.7(-16)$ | $3.4(-16)$
J=2-1 (1300 $\mu$m) | $1.5(-17)$ | $1.1(-15)$ | $2.8(-15)$ | $4.5(-15)$ | $6.3(-15)$ | $8.0(-15)$ | $9.9(-15)$ | $1.2(-14)$
J=3-2 (867 $\mu$m) | $3.7(-17)$ | $3.8(-15)$ | $1.4(-14)$ | $2.7(-14)$ | $4.2(-14)$ | $5.7(-14)$ | $7.3(-14)$ | $9.2(-14)$
J=4-3 (650 $\mu$m) | $4.5(-17)$ | $6.0(-15)$ | $2.8(-14)$ | $6.7(-14)$ | $1.2(-13)$ | $1.8(-13)$ | $2.4(-13)$ | $3.2(-13)$
J=8-7 (434 $\mu$m) | $2.9(-17)$ | $4.3(-15)$ | $2.6(-14)$ | $8.0(-14)$ | $1.8(-13)$ | $3.4(-13)$ | $5.7(-13)$ | $9.0(-13)$
J=9-8 (372 $\mu$m) | $2.4(-17)$ | $3.5(-15)$ | $2.1(-14)$ | $6.4(-14)$ | $1.5(-13)$ | $2.8(-13)$ | $4.7(-13)$ | $7.5(-13)$
J=10-9 (325 $\mu$m) | $2.0(-17)$ | $2.9(-15)$ | $1.7(-14)$ | $5.0(-14)$ | $1.2(-13)$ | $2.2(-13)$ | $3.7(-13)$ | $6.0(-13)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | 0 | $1.4(-05)$ | $6.6(-05)$ | $2.0(-04)$ | $3.5(-04)$ | $5.6(-04)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | 0 | $3.6(-07)$ | $3.9(-06)$ | $1.6(-05)$ | $4.0(-05)$ | $7.5(-05)$
H$\alpha$ (6564.6 Å) | 0 | 0 | 0 | $1.1(-05)$ | $2.3(-05)$ | $4.0(-05)$ | $5.9(-05)$ | $8.2(-05)$
2ph (¡2400 Å) | 0 | 0 | 0 | $3.2(-05)$ | $5.8(-05)$ | $9.3(-05)$ | $1.4(-04)$ | $1.9(-04)$
Atomic fine structure lines
C+ (158 $\mu$m) | $2.2(-06)$ | $7.5(-06)$ | $7.8(-06)$ | $7.1(-06)$ | $6.6(-06)$ | $6.4(-06)$ | $6.3(-06)$ | $6.6(-06)$
C (609.8 $\mu$m) | $4.1(-12)$ | $1.0(-11)$ | $3.5(-11)$ | $6.2(-11)$ | $1.0(-10)$ | $1.5(-10)$ | $2.0(-10)$ | $2.6(-10)$
C (370.4 $\mu$m) | $1.8(-11)$ | $6.4(-11)$ | $2.5(-10)$ | $4.8(-10)$ | $8.1(-10)$ | $1.2(-09)$ | $1.7(-09)$ | $2.2(-09)$
O (145.5 $\mu$m) | $3.9(-07)$ | $3.9(-06)$ | $4.9(-06)$ | $4.9(-06)$ | $4.9(-06)$ | $5.0(-06)$ | $5.2(-06)$ | $5.6(-06)$
O (63.2 $\mu$m) | $4.8(-06)$ | $4.7(-05)$ | $6.1(-05)$ | $6.6(-05)$ | $6.8(-05)$ | $7.3(-05)$ | $7.9(-05)$ | $8.8(-05)$
S (25.3 $\mu$m) | $2.1(-12)$ | $5.1(-11)$ | $5.8(-10)$ | $2.0(-09)$ | $5.0(-09)$ | $1.1(-08)$ | $2.4(-08)$ | $4.5(-08)$
Si (68.5 $\mu$m) | $8.7(-14)$ | $8.6(-13)$ | $6.4(-12)$ | $2.1(-11)$ | $5.3(-11)$ | $1.0(-10)$ | $1.6(-10)$ | $2.2(-10)$
Si+ (34.8 $\mu$m) | $1.4(-07)$ | $8.4(-07)$ | $1.4(-06)$ | $2.1(-06)$ | $3.3(-06)$ | $4.7(-06)$ | $5.8(-06)$ | $6.8(-06)$
Atomic metastable lines
O (6300 Å) | $5.9(-12)$ | $1.5(-07)$ | $9.1(-07)$ | $2.2(-06)$ | $4.0(-06)$ | $6.1(-06)$ | $8.1(-06)$ | $1.0(-05)$
O (6364 Å) | $1.9(-12)$ | $4.9(-08)$ | $2.9(-07)$ | $7.0(-07)$ | $1.3(-06)$ | $1.9(-06)$ | $2.6(-06)$ | $3.3(-06)$
S+ (6731 Å) | $5.4(-11)$ | $1.8(-07)$ | $1.8(-06)$ | $5.4(-06)$ | $1.2(-05)$ | $2.3(-05)$ | $3.6(-05)$ | $5.4(-05)$
S+ (6716 Å) | $8.0(-11)$ | $2.7(-07)$ | $2.6(-06)$ | $7.6(-06)$ | $1.6(-05)$ | $2.4(-05)$ | $3.2(-05)$ | $4.2(-05)$
N (5200 Å) | $3.7(-13)$ | $4.0(-08)$ | $5.3(-07)$ | $1.2(-06)$ | $1.9(-06)$ | $2.2(-06)$ | $2.2(-06)$ | $2.2(-06)$
N (5198 Å) | $2.5(-13)$ | $2.7(-08)$ | $3.6(-07)$ | $8.7(-07)$ | $1.5(-06)$ | $2.0(-06)$ | $2.4(-06)$ | $2.7(-06)$

181818Numbers in parentheses denote powers of ten.

Table 16: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{3}$ cm-3, magnetic parameter
$b=1$, and external radiation field $G_{0}=10^{3}$. Emission is integrated
only in the postshock region (i.e. without radiative precursor) until the
temperature drops to 100 K. These lines are a subset of those output by the
code.

$n_{\rm H}=10^{3}$ cm-3, $b=1$, $G_{0}=10^{3}$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $1.1(-10)$ | $2.2(-10)$ | $3.2(-10)$ | $5.0(-10)$ | $5.9(-10)$ | $7.0(-10)$ | $9.6(-10)$ | $1.3(-09)$
0-0 S(1) (17 $\mu$m) | $9.8(-09)$ | $1.9(-08)$ | $2.6(-08)$ | $3.9(-08)$ | $4.4(-08)$ | $4.8(-08)$ | $6.4(-08)$ | $8.2(-08)$
0-0 S(2) (12 $\mu$m) | $1.3(-08)$ | $2.8(-08)$ | $4.2(-08)$ | $6.7(-08)$ | $7.7(-08)$ | $8.6(-08)$ | $1.2(-07)$ | $1.5(-07)$
0-0 S(3) (10 $\mu$m) | $7.5(-08)$ | $1.8(-07)$ | $2.8(-07)$ | $4.5(-07)$ | $5.4(-07)$ | $6.2(-07)$ | $8.5(-07)$ | $1.1(-06)$
0-0 S(4) (8.0 $\mu$m) | $4.2(-08)$ | $1.0(-07)$ | $1.7(-07)$ | $2.7(-07)$ | $3.2(-07)$ | $3.8(-07)$ | $5.2(-07)$ | $6.9(-07)$
0-0 S(5) (6.9 $\mu$m) | $1.3(-07)$ | $3.7(-07)$ | $6.0(-07)$ | $9.5(-07)$ | $1.2(-06)$ | $1.4(-06)$ | $1.9(-06)$ | $2.5(-06)$
0-0 S(6) (6.1 $\mu$m) | $4.8(-08)$ | $1.5(-07)$ | $2.4(-07)$ | $3.8(-07)$ | $4.8(-07)$ | $5.8(-07)$ | $7.7(-07)$ | $1.0(-06)$
0-0 S(7) (5.5 $\mu$m) | $1.2(-07)$ | $4.5(-07)$ | $7.3(-07)$ | $1.1(-06)$ | $1.4(-06)$ | $1.7(-06)$ | $2.3(-06)$ | $2.9(-06)$
0-0 S(8) (5.1 $\mu$m) | $3.5(-08)$ | $1.5(-07)$ | $2.5(-07)$ | $3.7(-07)$ | $4.7(-07)$ | $5.6(-07)$ | $7.4(-07)$ | $9.5(-07)$
0-0 S(9) (4.7 $\mu$m) | $8.4(-08)$ | $4.4(-07)$ | $6.9(-07)$ | $1.0(-06)$ | $1.3(-06)$ | $1.6(-06)$ | $2.0(-06)$ | $2.6(-06)$
1-0 S(0) (2.22 $\mu$m) | $6.3(-08)$ | $1.8(-07)$ | $2.7(-07)$ | $4.1(-07)$ | $5.1(-07)$ | $6.0(-07)$ | $7.8(-07)$ | $9.9(-07)$
1-0 S(1) (2.12 $\mu$m) | $1.6(-07)$ | $6.1(-07)$ | $9.7(-07)$ | $1.4(-06)$ | $1.8(-06)$ | $2.2(-06)$ | $2.8(-06)$ | $3.5(-06)$
1-0 S(2) (2.03 $\mu$m) | $9.3(-08)$ | $3.0(-07)$ | $4.6(-07)$ | $6.9(-07)$ | $8.4(-07)$ | $9.8(-07)$ | $1.3(-06)$ | $1.6(-06)$
1-0 S(3) (1.96 $\mu$m) | $1.6(-07)$ | $7.2(-07)$ | $1.1(-06)$ | $1.6(-06)$ | $2.1(-06)$ | $2.5(-06)$ | $3.1(-06)$ | $3.8(-06)$
2-1 S(0) (2.36 $\mu$m) | $2.5(-08)$ | $6.0(-08)$ | $8.3(-08)$ | $1.2(-07)$ | $1.3(-07)$ | $1.4(-07)$ | $1.9(-07)$ | $2.4(-07)$
2-1 S(1) (2.25 $\mu$m) | $5.6(-08)$ | $1.9(-07)$ | $2.7(-07)$ | $3.9(-07)$ | $4.4(-07)$ | $4.9(-07)$ | $6.2(-07)$ | $7.6(-07)$
2-1 S(2) (2.15 $\mu$m) | $3.6(-08)$ | $1.0(-07)$ | $1.4(-07)$ | $2.0(-07)$ | $2.3(-07)$ | $2.5(-07)$ | $3.2(-07)$ | $3.9(-07)$
2-1 S(3) (2.07 $\mu$m) | $5.4(-08)$ | $2.3(-07)$ | $3.3(-07)$ | $4.6(-07)$ | $5.4(-07)$ | $5.9(-07)$ | $7.3(-07)$ | $8.8(-07)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $3.5(-10)$ | $3.7(-09)$ | $9.5(-09)$ | $1.8(-08)$ | $3.0(-08)$ | $4.6(-08)$ | $6.3(-08)$ | $8.2(-08)$
0-0 (J=2-1) (180 $\mu$m) | $4.3(-10)$ | $5.0(-09)$ | $1.3(-08)$ | $2.5(-08)$ | $4.1(-08)$ | $6.2(-08)$ | $8.6(-08)$ | $1.2(-07)$
0-0 (J=3-2) (120 $\mu$m) | $4.2(-10)$ | $5.5(-09)$ | $1.5(-08)$ | $2.7(-08)$ | $4.4(-08)$ | $6.6(-08)$ | $9.2(-08)$ | $1.3(-07)$
1-0 (J=0-1) (3.69 $\mu$m) | $2.6(-12)$ | $5.2(-11)$ | $1.4(-10)$ | $2.4(-10)$ | $4.0(-10)$ | $5.8(-10)$ | $7.9(-10)$ | $1.1(-09)$
1-0 (J=1-0) (3.61 $\mu$m) | $3.1(-12)$ | $7.0(-11)$ | $1.8(-10)$ | $3.2(-10)$ | $5.3(-10)$ | $7.7(-10)$ | $1.0(-09)$ | $1.4(-09)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $3.7(-16)$ | $3.9(-15)$ | $9.2(-15)$ | $1.6(-14)$ | $2.5(-14)$ | $3.5(-14)$ | $4.6(-14)$ | $6.1(-14)$
J=2-1 (1300 $\mu$m) | $1.4(-14)$ | $1.4(-13)$ | $3.1(-13)$ | $5.2(-13)$ | $8.0(-13)$ | $1.1(-12)$ | $1.5(-12)$ | $2.0(-12)$
J=3-2 (867 $\mu$m) | $9.8(-14)$ | $1.1(-12)$ | $2.4(-12)$ | $4.0(-12)$ | $6.2(-12)$ | $8.7(-12)$ | $1.1(-11)$ | $1.5(-11)$
J=4-3 (650 $\mu$m) | $3.1(-13)$ | $4.3(-12)$ | $1.0(-11)$ | $1.7(-11)$ | $2.6(-11)$ | $3.7(-11)$ | $4.8(-11)$ | $6.3(-11)$
J=8-7 (434 $\mu$m) | $6.0(-13)$ | $2.5(-11)$ | $1.1(-10)$ | $2.7(-10)$ | $4.9(-10)$ | $7.7(-10)$ | $1.1(-09)$ | $1.5(-09)$
J=9-8 (372 $\mu$m) | $4.8(-13)$ | $2.3(-11)$ | $1.2(-10)$ | $3.1(-10)$ | $6.1(-10)$ | $1.0(-09)$ | $1.5(-09)$ | $2.1(-09)$
J=10-9 (325 $\mu$m) | $3.7(-13)$ | $2.0(-11)$ | $1.1(-10)$ | $3.1(-10)$ | $6.7(-10)$ | $1.2(-09)$ | $1.8(-09)$ | $2.6(-09)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | 0 | $6.1(-04)$ | $1.2(-03)$ | $2.2(-03)$ | $3.5(-03)$ | $4.5(-03)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | 0 | $3.2(-06)$ | $3.6(-05)$ | $1.5(-04)$ | $3.8(-04)$ | $7.3(-04)$
H$\alpha$ (6564.6 Å) | 0 | 0 | 0 | $1.1(-04)$ | $2.4(-04)$ | $4.0(-04)$ | $6.0(-04)$ | $8.6(-04)$
2ph (¡2400 Å) | 0 | 0 | 0 | $3.2(-04)$ | $5.9(-04)$ | $9.3(-04)$ | $1.3(-03)$ | $1.9(-03)$
Atomic fine structure lines
C+ (158 $\mu$m) | $5.3(-06)$ | $2.1(-05)$ | $1.8(-05)$ | $1.6(-05)$ | $1.4(-05)$ | $1.4(-05)$ | $1.5(-05)$ | $1.6(-05)$
C (609.8 $\mu$m) | $8.2(-11)$ | $4.8(-10)$ | $1.2(-09)$ | $2.2(-09)$ | $3.1(-09)$ | $4.0(-09)$ | $5.3(-09)$ | $6.7(-09)$
C (370.4 $\mu$m) | $6.2(-10)$ | $3.9(-09)$ | $1.0(-08)$ | $1.9(-08)$ | $2.7(-08)$ | $3.4(-08)$ | $4.5(-08)$ | $5.7(-08)$
O (145.5 $\mu$m) | $3.3(-06)$ | $3.0(-05)$ | $3.1(-05)$ | $2.8(-05)$ | $2.6(-05)$ | $2.6(-05)$ | $2.9(-05)$ | $3.2(-05)$
O (63.2 $\mu$m) | $5.0(-05)$ | $5.1(-04)$ | $6.4(-04)$ | $6.5(-04)$ | $6.6(-04)$ | $7.1(-04)$ | $8.0(-04)$ | $9.3(-04)$
S (25.3 $\mu$m) | $7.7(-10)$ | $2.7(-08)$ | $1.6(-07)$ | $4.0(-07)$ | $8.1(-07)$ | $1.5(-06)$ | $2.6(-06)$ | $4.1(-06)$
Si (68.5 $\mu$m) | $2.5(-11)$ | $3.5(-10)$ | $1.4(-09)$ | $2.7(-09)$ | $4.1(-09)$ | $5.2(-09)$ | $6.6(-09)$ | $8.3(-09)$
Si+ (34.8 $\mu$m) | $1.5(-06)$ | $1.1(-05)$ | $1.8(-05)$ | $2.4(-05)$ | $2.9(-05)$ | $3.4(-05)$ | $4.1(-05)$ | $4.8(-05)$
Atomic metastable lines
O (6300 Å) | $5.3(-11)$ | $1.9(-06)$ | $8.6(-06)$ | $2.2(-05)$ | $4.4(-05)$ | $7.1(-05)$ | $1.0(-04)$ | $1.4(-04)$
O (6364 Å) | $1.7(-11)$ | $6.2(-07)$ | $2.7(-06)$ | $7.0(-06)$ | $1.4(-05)$ | $2.3(-05)$ | $3.3(-05)$ | $4.5(-05)$
S+ (6731 Å) | $4.1(-10)$ | $1.4(-06)$ | $1.3(-05)$ | $5.2(-05)$ | $1.3(-04)$ | $2.0(-04)$ | $2.6(-04)$ | $3.1(-04)$
S+ (6716 Å) | $6.0(-10)$ | $2.1(-06)$ | $1.8(-05)$ | $6.0(-05)$ | $1.0(-04)$ | $1.3(-04)$ | $1.5(-04)$ | $1.7(-04)$
N (5200 Å) | $3.2(-12)$ | $3.1(-07)$ | $4.2(-06)$ | $9.4(-06)$ | $1.1(-05)$ | $1.0(-05)$ | $9.2(-06)$ | $9.6(-06)$
N (5198 Å) | $2.1(-12)$ | $2.1(-07)$ | $2.9(-06)$ | $8.5(-06)$ | $1.3(-05)$ | $1.4(-05)$ | $1.4(-05)$ | $1.5(-05)$

191919Numbers in parentheses denote powers of ten.

Table 17: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{4}$ cm-3, magnetic parameter
$b=1$, and external radiation field $G_{0}=10^{3}$. Emission is integrated
only in the postshock region (i.e. without radiative precursor) until the
temperature drops to 100 K. These lines are a subset of those output by the
code.

$n_{\rm H}=10^{4}$ cm-3, $b=1$, $G_{0}=10^{3}$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $2.2(-07)$ | $2.0(-06)$ | $4.8(-06)$ | $9.2(-06)$ | $1.1(-05)$ | $1.3(-05)$ | $1.4(-05)$ | $1.5(-05)$
0-0 S(1) (17 $\mu$m) | $9.9(-06)$ | $2.2(-05)$ | $3.0(-05)$ | $6.0(-05)$ | $8.5(-05)$ | $1.2(-04)$ | $1.6(-04)$ | $2.1(-04)$
0-0 S(2) (12 $\mu$m) | $1.3(-05)$ | $1.9(-05)$ | $8.1(-06)$ | $1.2(-05)$ | $2.0(-05)$ | $3.4(-05)$ | $5.7(-05)$ | $9.2(-05)$
0-0 S(3) (10 $\mu$m) | $8.4(-05)$ | $1.5(-04)$ | $8.8(-05)$ | $1.1(-04)$ | $1.2(-04)$ | $1.3(-04)$ | $1.7(-04)$ | $2.7(-04)$
0-0 S(4) (8.0 $\mu$m) | $3.6(-05)$ | $8.4(-05)$ | $4.4(-05)$ | $6.5(-05)$ | $7.4(-05)$ | $8.0(-05)$ | $8.9(-05)$ | $1.1(-04)$
0-0 S(5) (6.9 $\mu$m) | $1.0(-04)$ | $3.5(-04)$ | $1.7(-04)$ | $2.5(-04)$ | $2.9(-04)$ | $3.1(-04)$ | $3.4(-04)$ | $3.7(-04)$
0-0 S(6) (6.1 $\mu$m) | $2.5(-05)$ | $1.3(-04)$ | $6.2(-05)$ | $9.4(-05)$ | $1.1(-04)$ | $1.3(-04)$ | $1.4(-04)$ | $1.4(-04)$
0-0 S(7) (5.5 $\mu$m) | $3.8(-05)$ | $3.7(-04)$ | $1.8(-04)$ | $2.7(-04)$ | $3.3(-04)$ | $3.7(-04)$ | $4.1(-04)$ | $4.3(-04)$
0-0 S(8) (5.1 $\mu$m) | $7.5(-06)$ | $1.1(-04)$ | $5.9(-05)$ | $9.0(-05)$ | $1.1(-04)$ | $1.2(-04)$ | $1.4(-04)$ | $1.4(-04)$
0-0 S(9) (4.7 $\mu$m) | $9.3(-06)$ | $2.2(-04)$ | $1.6(-04)$ | $2.4(-04)$ | $2.9(-04)$ | $3.3(-04)$ | $3.7(-04)$ | $3.9(-04)$
1-0 S(0) (2.22 $\mu$m) | $1.6(-05)$ | $1.1(-04)$ | $1.8(-05)$ | $3.0(-05)$ | $3.7(-05)$ | $4.5(-05)$ | $5.4(-05)$ | $6.3(-05)$
1-0 S(1) (2.12 $\mu$m) | $5.9(-05)$ | $5.0(-04)$ | $6.7(-05)$ | $1.0(-04)$ | $1.2(-04)$ | $1.5(-04)$ | $1.7(-04)$ | $2.0(-04)$
1-0 S(2) (2.03 $\mu$m) | $2.2(-05)$ | $2.0(-04)$ | $3.5(-05)$ | $5.2(-05)$ | $6.3(-05)$ | $7.3(-05)$ | $8.3(-05)$ | $9.3(-05)$
1-0 S(3) (1.96 $\mu$m) | $4.4(-05)$ | $5.2(-04)$ | $9.6(-05)$ | $1.4(-04)$ | $1.7(-04)$ | $1.9(-04)$ | $2.1(-04)$ | $2.3(-04)$
2-1 S(0) (2.36 $\mu$m) | $8.2(-07)$ | $1.3(-05)$ | $5.4(-06)$ | $8.6(-06)$ | $9.8(-06)$ | $1.1(-05)$ | $1.1(-05)$ | $1.2(-05)$
2-1 S(1) (2.25 $\mu$m) | $2.9(-06)$ | $5.5(-05)$ | $2.0(-05)$ | $2.8(-05)$ | $3.1(-05)$ | $3.3(-05)$ | $3.6(-05)$ | $3.7(-05)$
2-1 S(2) (2.15 $\mu$m) | $1.9(-06)$ | $2.4(-05)$ | $1.1(-05)$ | $1.6(-05)$ | $1.8(-05)$ | $1.9(-05)$ | $2.1(-05)$ | $2.2(-05)$
2-1 S(3) (2.07 $\mu$m) | $3.9(-06)$ | $6.3(-05)$ | $3.0(-05)$ | $3.9(-05)$ | $4.3(-05)$ | $4.5(-05)$ | $4.9(-05)$ | $5.1(-05)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $1.1(-07)$ | $5.7(-07)$ | $2.4(-06)$ | $3.9(-06)$ | $5.1(-06)$ | $6.3(-06)$ | $7.9(-06)$ | $9.8(-06)$
0-0 (J=2-1) (180 $\mu$m) | $2.0(-07)$ | $1.5(-06)$ | $4.9(-06)$ | $8.9(-06)$ | $1.3(-05)$ | $1.7(-05)$ | $2.3(-05)$ | $3.2(-05)$
0-0 (J=3-2) (120 $\mu$m) | $2.0(-07)$ | $1.6(-06)$ | $4.8(-06)$ | $8.5(-06)$ | $1.3(-05)$ | $1.8(-05)$ | $2.5(-05)$ | $3.5(-05)$
1-0 (J=0-1) (3.69 $\mu$m) | $3.6(-10)$ | $1.9(-08)$ | $3.3(-08)$ | $5.1(-08)$ | $7.9(-08)$ | $1.2(-07)$ | $1.6(-07)$ | $2.3(-07)$
1-0 (J=1-0) (3.61 $\mu$m) | $5.2(-10)$ | $2.4(-08)$ | $4.5(-08)$ | $6.8(-08)$ | $1.1(-07)$ | $1.5(-07)$ | $2.2(-07)$ | $3.0(-07)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $2.8(-12)$ | $4.0(-11)$ | $2.1(-10)$ | $7.6(-10)$ | $1.1(-09)$ | $1.3(-09)$ | $1.5(-09)$ | $1.7(-09)$
J=2-1 (1300 $\mu$m) | $9.2(-11)$ | $1.2(-09)$ | $6.5(-09)$ | $2.3(-08)$ | $3.3(-08)$ | $3.9(-08)$ | $4.5(-08)$ | $5.1(-08)$
J=3-2 (867 $\mu$m) | $7.1(-10)$ | $8.6(-09)$ | $4.5(-08)$ | $1.6(-07)$ | $2.3(-07)$ | $2.7(-07)$ | $3.1(-07)$ | $3.6(-07)$
J=4-3 (650 $\mu$m) | $3.0(-09)$ | $3.2(-08)$ | $1.7(-07)$ | $5.9(-07)$ | $8.5(-07)$ | $1.0(-06)$ | $1.2(-06)$ | $1.3(-06)$
J=8-7 (434 $\mu$m) | $4.4(-08)$ | $3.5(-07)$ | $2.0(-06)$ | $6.6(-06)$ | $1.0(-05)$ | $1.3(-05)$ | $1.5(-05)$ | $1.7(-05)$
J=9-8 (372 $\mu$m) | $5.2(-08)$ | $4.0(-07)$ | $2.4(-06)$ | $7.8(-06)$ | $1.2(-05)$ | $1.6(-05)$ | $1.9(-05)$ | $2.2(-05)$
J=10-9 (325 $\mu$m) | $5.3(-08)$ | $4.1(-07)$ | $2.4(-06)$ | $8.0(-06)$ | $1.3(-05)$ | $1.7(-05)$ | $2.2(-05)$ | $2.6(-05)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | 0 | $5.3(-03)$ | $1.3(-02)$ | $2.7(-02)$ | $4.7(-02)$ | $7.4(-02)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | 0 | $8.9(-05)$ | $8.3(-04)$ | $2.6(-03)$ | $5.5(-03)$ | $9.6(-03)$
H$\alpha$ (6564.6 Å) | 0 | 0 | 0 | $7.6(-04)$ | $1.9(-03)$ | $3.3(-03)$ | $4.8(-03)$ | $7.4(-03)$
2ph (¡2400 Å) | 0 | 0 | 0 | $2.3(-03)$ | $4.6(-03)$ | $7.2(-03)$ | $9.8(-03)$ | $1.3(-02)$
Atomic fine structure lines
C+ (158 $\mu$m) | $5.0(-06)$ | $7.9(-05)$ | $2.0(-04)$ | $2.2(-04)$ | $2.0(-04)$ | $1.9(-04)$ | $2.0(-04)$ | $2.0(-04)$
C (609.8 $\mu$m) | $1.9(-08)$ | $4.0(-07)$ | $1.3(-06)$ | $2.3(-06)$ | $2.8(-06)$ | $3.0(-06)$ | $3.4(-06)$ | $3.6(-06)$
C (370.4 $\mu$m) | $1.6(-07)$ | $2.9(-06)$ | $9.5(-06)$ | $1.7(-05)$ | $2.1(-05)$ | $2.3(-05)$ | $2.6(-05)$ | $2.7(-05)$
O (145.5 $\mu$m) | $9.2(-06)$ | $7.7(-05)$ | $3.9(-04)$ | $5.1(-04)$ | $5.9(-04)$ | $6.8(-04)$ | $8.0(-04)$ | $9.0(-04)$
O (63.2 $\mu$m) | $2.2(-04)$ | $2.8(-03)$ | $1.5(-02)$ | $2.0(-02)$ | $2.4(-02)$ | $2.8(-02)$ | $3.3(-02)$ | $3.7(-02)$
S (25.3 $\mu$m) | $3.6(-07)$ | $7.0(-06)$ | $1.1(-04)$ | $2.2(-04)$ | $3.6(-04)$ | $5.3(-04)$ | $7.7(-04)$ | $1.1(-03)$
Si (68.5 $\mu$m) | $7.0(-09)$ | $3.6(-07)$ | $1.8(-06)$ | $3.4(-06)$ | $4.5(-06)$ | $5.2(-06)$ | $6.3(-06)$ | $6.9(-06)$
Si+ (34.8 $\mu$m) | $1.2(-05)$ | $1.3(-04)$ | $7.0(-04)$ | $1.0(-03)$ | $1.3(-03)$ | $1.6(-03)$ | $1.9(-03)$ | $2.3(-03)$
Atomic metastable lines
O (6300 Å) | $5.5(-12)$ | $1.1(-08)$ | $1.7(-04)$ | $2.7(-04)$ | $5.2(-04)$ | $8.9(-04)$ | $1.3(-03)$ | $1.8(-03)$
O (6364 Å) | $1.8(-12)$ | $3.6(-09)$ | $5.4(-05)$ | $8.5(-05)$ | $1.7(-04)$ | $2.8(-04)$ | $4.2(-04)$ | $5.8(-04)$
S+ (6731 Å) | $3.1(-10)$ | $6.6(-08)$ | $1.1(-04)$ | $4.0(-04)$ | $6.4(-04)$ | $7.2(-04)$ | $7.8(-04)$ | $8.7(-04)$
S+ (6716 Å) | $4.5(-10)$ | $9.7(-08)$ | $1.5(-04)$ | $3.2(-04)$ | $3.8(-04)$ | $4.0(-04)$ | $4.3(-04)$ | $4.9(-04)$
N (5200 Å) | $7.1(-13)$ | $1.0(-08)$ | $3.1(-05)$ | $4.6(-05)$ | $3.9(-05)$ | $3.0(-05)$ | $2.8(-05)$ | $3.3(-05)$
N (5198 Å) | $4.7(-13)$ | $6.8(-09)$ | $2.2(-05)$ | $5.8(-05)$ | $5.8(-05)$ | $4.6(-05)$ | $4.3(-05)$ | $4.9(-05)$

202020Numbers in parentheses denote powers of ten.

Table 18: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{5}$ cm-3, magnetic parameter
$b=1$, and external radiation field $G_{0}=10^{3}$. Emission is integrated
only in the postshock region (i.e. without radiative precursor) until the
temperature drops to 100 K. These lines are a subset of those output by the
code.

$n_{\rm H}=10^{5}$ cm-3, $b=1$, $G_{0}=10^{3}$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $4.6(-06)$ | $1.1(-05)$ | $2.2(-05)$ | $2.6(-05)$ | $2.8(-05)$ | $3.0(-05)$ | $3.2(-05)$ | $3.3(-05)$
0-0 S(1) (17 $\mu$m) | $6.5(-05)$ | $1.3(-04)$ | $5.4(-04)$ | $6.8(-04)$ | $7.8(-04)$ | $8.9(-04)$ | $9.7(-04)$ | $1.1(-03)$
0-0 S(2) (12 $\mu$m) | $6.5(-05)$ | $1.0(-04)$ | $4.0(-04)$ | $5.3(-04)$ | $6.4(-04)$ | $7.6(-04)$ | $8.5(-04)$ | $9.4(-04)$
0-0 S(3) (10 $\mu$m) | $4.1(-04)$ | $7.3(-04)$ | $1.3(-03)$ | $1.8(-03)$ | $2.2(-03)$ | $2.7(-03)$ | $3.1(-03)$ | $3.5(-03)$
0-0 S(4) (8.0 $\mu$m) | $2.0(-04)$ | $4.9(-04)$ | $3.1(-04)$ | $4.3(-04)$ | $5.4(-04)$ | $6.7(-04)$ | $7.9(-04)$ | $9.0(-04)$
0-0 S(5) (6.9 $\mu$m) | $6.5(-04)$ | $2.3(-03)$ | $6.8(-04)$ | $8.5(-04)$ | $1.0(-03)$ | $1.2(-03)$ | $1.4(-03)$ | $1.6(-03)$
0-0 S(6) (6.1 $\mu$m) | $1.8(-04)$ | $9.6(-04)$ | $2.3(-04)$ | $2.7(-04)$ | $2.9(-04)$ | $3.2(-04)$ | $3.5(-04)$ | $3.8(-04)$
0-0 S(7) (5.5 $\mu$m) | $3.5(-04)$ | $3.0(-03)$ | $7.0(-04)$ | $7.7(-04)$ | $8.1(-04)$ | $8.5(-04)$ | $9.0(-04)$ | $9.2(-04)$
0-0 S(8) (5.1 $\mu$m) | $7.6(-05)$ | $9.3(-04)$ | $2.6(-04)$ | $2.9(-04)$ | $3.1(-04)$ | $3.2(-04)$ | $3.3(-04)$ | $3.3(-04)$
0-0 S(9) (4.7 $\mu$m) | $1.2(-04)$ | $2.1(-03)$ | $7.5(-04)$ | $8.3(-04)$ | $8.7(-04)$ | $9.1(-04)$ | $9.4(-04)$ | $9.6(-04)$
1-0 S(0) (2.22 $\mu$m) | $1.1(-04)$ | $9.4(-04)$ | $1.6(-04)$ | $1.8(-04)$ | $2.1(-04)$ | $2.4(-04)$ | $2.7(-04)$ | $3.0(-04)$
1-0 S(1) (2.12 $\mu$m) | $4.0(-04)$ | $4.3(-03)$ | $4.7(-04)$ | $5.4(-04)$ | $6.1(-04)$ | $7.1(-04)$ | $8.0(-04)$ | $9.0(-04)$
1-0 S(2) (2.03 $\mu$m) | $1.4(-04)$ | $1.7(-03)$ | $2.0(-04)$ | $2.2(-04)$ | $2.3(-04)$ | $2.6(-04)$ | $2.8(-04)$ | $3.0(-04)$
1-0 S(3) (1.96 $\mu$m) | $3.0(-04)$ | $4.6(-03)$ | $4.9(-04)$ | $5.3(-04)$ | $5.7(-04)$ | $6.2(-04)$ | $6.6(-04)$ | $7.1(-04)$
2-1 S(0) (2.36 $\mu$m) | $6.6(-06)$ | $1.0(-04)$ | $1.9(-05)$ | $2.0(-05)$ | $2.1(-05)$ | $2.1(-05)$ | $2.2(-05)$ | $2.2(-05)$
2-1 S(1) (2.25 $\mu$m) | $2.0(-05)$ | $4.7(-04)$ | $6.9(-05)$ | $7.1(-05)$ | $7.3(-05)$ | $7.5(-05)$ | $7.8(-05)$ | $8.1(-05)$
2-1 S(2) (2.15 $\mu$m) | $1.1(-05)$ | $1.9(-04)$ | $3.9(-05)$ | $4.0(-05)$ | $4.2(-05)$ | $4.3(-05)$ | $4.5(-05)$ | $4.6(-05)$
2-1 S(3) (2.07 $\mu$m) | $2.2(-05)$ | $5.2(-04)$ | $9.8(-05)$ | $9.9(-05)$ | $1.0(-04)$ | $1.0(-04)$ | $1.1(-04)$ | $1.1(-04)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $7.8(-07)$ | $1.5(-06)$ | $2.2(-05)$ | $2.5(-05)$ | $3.0(-05)$ | $3.9(-05)$ | $4.8(-05)$ | $6.2(-05)$
0-0 (J=2-1) (180 $\mu$m) | $1.1(-06)$ | $2.5(-06)$ | $7.8(-05)$ | $9.6(-05)$ | $1.3(-04)$ | $1.9(-04)$ | $3.2(-04)$ | $4.0(-04)$
0-0 (J=3-2) (120 $\mu$m) | $8.2(-07)$ | $2.1(-06)$ | $9.6(-05)$ | $1.2(-04)$ | $1.6(-04)$ | $2.5(-04)$ | $5.7(-04)$ | $9.7(-04)$
1-0 (J=0-1) (3.69 $\mu$m) | $1.4(-09)$ | $3.2(-09)$ | $7.5(-07)$ | $8.7(-07)$ | $1.2(-06)$ | $1.8(-06)$ | $5.3(-06)$ | $1.1(-05)$
1-0 (J=1-0) (3.61 $\mu$m) | $1.7(-09)$ | $4.6(-09)$ | $1.0(-06)$ | $1.2(-06)$ | $1.6(-06)$ | $2.4(-06)$ | $6.4(-06)$ | $1.3(-05)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $6.5(-10)$ | $1.8(-09)$ | $5.0(-09)$ | $7.4(-09)$ | $8.2(-09)$ | $8.8(-09)$ | $1.1(-08)$ | $1.1(-08)$
J=2-1 (1300 $\mu$m) | $1.9(-08)$ | $5.6(-08)$ | $1.5(-07)$ | $2.2(-07)$ | $2.5(-07)$ | $2.6(-07)$ | $3.3(-07)$ | $3.3(-07)$
J=3-2 (867 $\mu$m) | $1.3(-07)$ | $3.9(-07)$ | $1.0(-06)$ | $1.5(-06)$ | $1.7(-06)$ | $1.8(-06)$ | $2.3(-06)$ | $2.3(-06)$
J=4-3 (650 $\mu$m) | $4.8(-07)$ | $1.5(-06)$ | $3.9(-06)$ | $5.6(-06)$ | $6.2(-06)$ | $6.7(-06)$ | $9.0(-06)$ | $9.0(-06)$
J=8-7 (434 $\mu$m) | $5.5(-06)$ | $2.1(-05)$ | $6.1(-05)$ | $8.0(-05)$ | $9.1(-05)$ | $1.0(-04)$ | $1.5(-04)$ | $1.7(-04)$
J=9-8 (372 $\mu$m) | $6.7(-06)$ | $2.9(-05)$ | $8.6(-05)$ | $1.1(-04)$ | $1.3(-04)$ | $1.5(-04)$ | $2.1(-04)$ | $2.5(-04)$
J=10-9 (325 $\mu$m) | $7.3(-06)$ | $3.5(-05)$ | $1.1(-04)$ | $1.5(-04)$ | $1.7(-04)$ | $1.9(-04)$ | $2.8(-04)$ | $3.3(-04)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | 0 | $7.6(-02)$ | $2.1(-01)$ | $4.4(-01)$ | $7.6(-01)$ | $1.2(+00)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | 0 | $2.5(-03)$ | $1.3(-02)$ | $3.3(-02)$ | $6.5(-02)$ | $1.1(-01)$
H$\alpha$ (6564.6 Å) | 0 | 0 | 0 | $6.8(-03)$ | $1.6(-02)$ | $3.0(-02)$ | $4.2(-02)$ | $6.4(-02)$
2ph (¡2400 Å) | 0 | 0 | 0 | $1.7(-02)$ | $2.8(-02)$ | $3.7(-02)$ | $4.4(-02)$ | $5.3(-02)$
Atomic fine structure lines
C+ (158 $\mu$m) | $4.3(-05)$ | $4.6(-05)$ | $1.0(-04)$ | $6.7(-05)$ | $5.8(-05)$ | $6.4(-05)$ | $7.8(-05)$ | $9.0(-05)$
C (609.8 $\mu$m) | $1.4(-06)$ | $3.6(-06)$ | $5.0(-06)$ | $5.9(-06)$ | $6.1(-06)$ | $6.1(-06)$ | $6.2(-06)$ | $5.8(-06)$
C (370.4 $\mu$m) | $1.0(-05)$ | $2.5(-05)$ | $3.9(-05)$ | $4.6(-05)$ | $4.7(-05)$ | $4.8(-05)$ | $4.8(-05)$ | $4.6(-05)$
O (145.5 $\mu$m) | $1.5(-04)$ | $3.8(-04)$ | $1.7(-03)$ | $1.7(-03)$ | $1.7(-03)$ | $1.8(-03)$ | $2.0(-03)$ | $2.1(-03)$
O (63.2 $\mu$m) | $6.4(-03)$ | $1.9(-02)$ | $6.9(-02)$ | $7.2(-02)$ | $7.6(-02)$ | $8.0(-02)$ | $8.4(-02)$ | $8.7(-02)$
S (25.3 $\mu$m) | $1.2(-04)$ | $8.2(-04)$ | $1.8(-02)$ | $2.5(-02)$ | $3.1(-02)$ | $3.6(-02)$ | $4.1(-02)$ | $4.6(-02)$
Si (68.5 $\mu$m) | $4.6(-06)$ | $2.5(-05)$ | $6.6(-05)$ | $7.0(-05)$ | $7.4(-05)$ | $7.4(-05)$ | $7.7(-05)$ | $7.5(-05)$
Si+ (34.8 $\mu$m) | $3.4(-04)$ | $1.0(-03)$ | $4.7(-03)$ | $4.9(-03)$ | $5.2(-03)$ | $5.7(-03)$ | $6.1(-03)$ | $6.5(-03)$
Atomic metastable lines
O (6300 Å) | $2.3(-11)$ | $1.4(-08)$ | $4.3(-03)$ | $4.6(-03)$ | $7.3(-03)$ | $1.1(-02)$ | $1.6(-02)$ | $2.0(-02)$
O (6364 Å) | $7.2(-12)$ | $4.4(-09)$ | $1.4(-03)$ | $1.5(-03)$ | $2.3(-03)$ | $3.6(-03)$ | $5.0(-03)$ | $6.3(-03)$
S+ (6731 Å) | $5.6(-10)$ | $8.2(-09)$ | $1.1(-03)$ | $1.4(-03)$ | $1.6(-03)$ | $2.1(-03)$ | $3.0(-03)$ | $3.9(-03)$
S+ (6716 Å) | $8.2(-10)$ | $1.2(-08)$ | $1.4(-03)$ | $1.1(-03)$ | $1.2(-03)$ | $1.6(-03)$ | $2.4(-03)$ | $3.1(-03)$
N (5200 Å) | $3.3(-12)$ | $3.3(-08)$ | $3.2(-04)$ | $1.9(-04)$ | $1.5(-04)$ | $1.4(-04)$ | $1.9(-04)$ | $2.5(-04)$
N (5198 Å) | $2.2(-12)$ | $2.2(-08)$ | $2.5(-04)$ | $2.2(-04)$ | $1.8(-04)$ | $1.7(-04)$ | $2.1(-04)$ | $2.8(-04)$

212121Numbers in parentheses denote powers of ten.

Table 19: Integrated line and two-photon continuum intensities (erg s-1 cm-2
sr-1) escaping the shock front as a function of shock velocity (km s-1) for
shocks with preshock density $n_{\rm H}=10^{6}$ cm-3, magnetic parameter
$b=1$, and external radiation field $G_{0}=10^{3}$. Emission is integrated
only in the postshock region (i.e. without radiative precursor) until the
temperature drops to 100 K. These lines are a subset of those output by the
code.

$n_{\rm H}=10^{6}$ cm-3, $b=1$, $G_{0}=10^{3}$ |  |  |  |  |  |
---|---|---|---|---|---|---
| Velocities (km s-1)
Line | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80
H2 rovibrational lines
0-0 S(0) (28 $\mu$m) | $1.3(-05)$ | $4.7(-05)$ | $5.9(-05)$ | $6.1(-05)$ | $6.3(-05)$ | $6.5(-05)$ | $6.8(-05)$ | $7.1(-05)$
0-0 S(1) (17 $\mu$m) | $2.4(-04)$ | $1.4(-03)$ | $1.9(-03)$ | $1.9(-03)$ | $2.1(-03)$ | $2.2(-03)$ | $2.3(-03)$ | $2.4(-03)$
0-0 S(2) (12 $\mu$m) | $1.7(-04)$ | $9.8(-04)$ | $1.4(-03)$ | $1.5(-03)$ | $1.6(-03)$ | $1.8(-03)$ | $1.9(-03)$ | $2.0(-03)$
0-0 S(3) (10 $\mu$m) | $9.6(-04)$ | $3.7(-03)$ | $4.0(-03)$ | $4.4(-03)$ | $5.2(-03)$ | $5.7(-03)$ | $6.4(-03)$ | $7.1(-03)$
0-0 S(4) (8.0 $\mu$m) | $5.1(-04)$ | $1.6(-03)$ | $7.4(-04)$ | $8.5(-04)$ | $1.1(-03)$ | $1.2(-03)$ | $1.4(-03)$ | $1.7(-03)$
0-0 S(5) (6.9 $\mu$m) | $2.0(-03)$ | $7.8(-03)$ | $1.1(-03)$ | $1.2(-03)$ | $1.5(-03)$ | $1.8(-03)$ | $2.1(-03)$ | $2.6(-03)$
0-0 S(6) (6.1 $\mu$m) | $6.9(-04)$ | $3.9(-03)$ | $4.0(-04)$ | $3.8(-04)$ | $3.9(-04)$ | $4.1(-04)$ | $4.5(-04)$ | $5.1(-04)$
0-0 S(7) (5.5 $\mu$m) | $1.7(-03)$ | $1.5(-02)$ | $1.3(-03)$ | $1.2(-03)$ | $1.2(-03)$ | $1.1(-03)$ | $1.2(-03)$ | $1.2(-03)$
0-0 S(8) (5.1 $\mu$m) | $4.3(-04)$ | $5.8(-03)$ | $6.7(-04)$ | $6.3(-04)$ | $5.8(-04)$ | $5.6(-04)$ | $5.6(-04)$ | $5.5(-04)$
0-0 S(9) (4.7 $\mu$m) | $8.1(-04)$ | $1.7(-02)$ | $2.1(-03)$ | $2.1(-03)$ | $2.0(-03)$ | $2.0(-03)$ | $2.0(-03)$ | $2.0(-03)$
1-0 S(0) (2.22 $\mu$m) | $6.0(-04)$ | $5.4(-03)$ | $8.3(-04)$ | $8.1(-04)$ | $8.2(-04)$ | $8.5(-04)$ | $8.9(-04)$ | $9.6(-04)$
1-0 S(1) (2.12 $\mu$m) | $2.1(-03)$ | $2.5(-02)$ | $1.4(-03)$ | $1.4(-03)$ | $1.4(-03)$ | $1.5(-03)$ | $1.6(-03)$ | $1.8(-03)$
1-0 S(2) (2.03 $\mu$m) | $7.7(-04)$ | $1.0(-02)$ | $5.2(-04)$ | $4.8(-04)$ | $4.7(-04)$ | $4.8(-04)$ | $5.0(-04)$ | $5.5(-04)$
1-0 S(3) (1.96 $\mu$m) | $1.7(-03)$ | $3.0(-02)$ | $9.9(-04)$ | $9.2(-04)$ | $9.0(-04)$ | $9.1(-04)$ | $9.5(-04)$ | $1.0(-03)$
2-1 S(0) (2.36 $\mu$m) | $3.8(-05)$ | $9.6(-04)$ | $5.8(-05)$ | $5.4(-05)$ | $5.2(-05)$ | $5.3(-05)$ | $5.4(-05)$ | $5.5(-05)$
2-1 S(1) (2.25 $\mu$m) | $9.4(-05)$ | $4.7(-03)$ | $1.4(-04)$ | $1.3(-04)$ | $1.2(-04)$ | $1.2(-04)$ | $1.2(-04)$ | $1.3(-04)$
2-1 S(2) (2.15 $\mu$m) | $6.4(-05)$ | $2.0(-03)$ | $1.1(-04)$ | $9.9(-05)$ | $9.1(-05)$ | $8.9(-05)$ | $8.7(-05)$ | $8.7(-05)$
2-1 S(3) (2.07 $\mu$m) | $9.2(-05)$ | $6.0(-03)$ | $1.9(-04)$ | $1.7(-04)$ | $1.5(-04)$ | $1.5(-04)$ | $1.5(-04)$ | $1.5(-04)$
CH+ rovibrational lines
0-0 (J=1-0) (359 $\mu$m) | $9.9(-07)$ | $1.8(-06)$ | $1.0(-05)$ | $9.9(-06)$ | $9.3(-06)$ | $1.4(-05)$ | $1.7(-05)$ | $2.6(-05)$
0-0 (J=2-1) (180 $\mu$m) | $2.6(-06)$ | $7.4(-06)$ | $1.2(-04)$ | $1.8(-04)$ | $1.7(-04)$ | $3.1(-04)$ | $4.4(-04)$ | $7.3(-04)$
0-0 (J=3-2) (120 $\mu$m) | $2.3(-06)$ | $8.4(-06)$ | $2.1(-04)$ | $5.5(-04)$ | $3.7(-04)$ | $7.3(-04)$ | $1.1(-03)$ | $2.1(-03)$
1-0 (J=0-1) (3.69 $\mu$m) | $3.5(-09)$ | $1.3(-08)$ | $1.7(-06)$ | $2.3(-06)$ | $3.9(-06)$ | $8.8(-06)$ | $1.5(-05)$ | $3.2(-05)$
1-0 (J=1-0) (3.61 $\mu$m) | $4.0(-09)$ | $1.5(-08)$ | $2.3(-06)$ | $3.0(-06)$ | $5.2(-06)$ | $1.2(-05)$ | $2.0(-05)$ | $4.4(-05)$
CO pure rotational lines
J=1-0 (2601 $\mu$m) | $1.1(-08)$ | $1.9(-08)$ | $2.9(-08)$ | $3.5(-08)$ | $3.6(-08)$ | $3.4(-08)$ | $3.9(-08)$ | $4.2(-08)$
J=2-1 (1300 $\mu$m) | $3.3(-07)$ | $5.8(-07)$ | $8.8(-07)$ | $1.1(-06)$ | $1.1(-06)$ | $1.0(-06)$ | $1.2(-06)$ | $1.3(-06)$
J=3-2 (867 $\mu$m) | $2.3(-06)$ | $4.0(-06)$ | $6.3(-06)$ | $7.7(-06)$ | $8.1(-06)$ | $7.4(-06)$ | $8.5(-06)$ | $9.1(-06)$
J=4-3 (650 $\mu$m) | $8.3(-06)$ | $1.5(-05)$ | $2.4(-05)$ | $3.0(-05)$ | $3.2(-05)$ | $2.9(-05)$ | $3.3(-05)$ | $3.5(-05)$
J=8-7 (434 $\mu$m) | $1.2(-04)$ | $2.6(-04)$ | $4.6(-04)$ | $5.9(-04)$ | $7.1(-04)$ | $5.9(-04)$ | $6.5(-04)$ | $7.0(-04)$
J=9-8 (372 $\mu$m) | $1.6(-04)$ | $3.8(-04)$ | $7.0(-04)$ | $9.1(-04)$ | $1.1(-03)$ | $9.2(-04)$ | $1.0(-03)$ | $1.1(-03)$
J=10-9 (325 $\mu$m) | $2.0(-04)$ | $5.3(-04)$ | $1.0(-03)$ | $1.3(-03)$ | $1.7(-03)$ | $1.3(-03)$ | $1.5(-03)$ | $1.6(-03)$
Atomic H lines
Ly$\alpha$ (1215.7 Å) | 0 | 0 | $3.1(-02)$ | $9.6(-01)$ | $1.8(+00)$ | $3.3(+00)$ | $5.3(+00)$ | $8.5(+00)$
Ly$\beta$ (1025.7 Å) | 0 | 0 | $7.3(-05)$ | $2.8(-02)$ | $5.0(-02)$ | $1.8(-01)$ | $4.2(-01)$ | $7.8(-01)$
H$\alpha$ (6564.6 Å) | 0 | 0 | $4.8(-03)$ | $6.3(-02)$ | $2.7(-01)$ | $4.5(-01)$ | $6.7(-01)$ | $9.4(-01)$
2ph (¡2400 Å) | 0 | 0 | $3.3(-02)$ | $8.4(-02)$ | $1.8(-01)$ | $2.0(-01)$ | $2.1(-01)$ | $2.5(-01)$
Atomic fine structure lines
C+ (158 $\mu$m) | $4.6(-06)$ | $4.8(-06)$ | $2.1(-05)$ | $1.3(-05)$ | $2.1(-05)$ | $3.6(-05)$ | $5.3(-05)$ | $1.5(-04)$
C (609.8 $\mu$m) | $2.5(-06)$ | $5.2(-06)$ | $7.8(-06)$ | $7.3(-06)$ | $6.4(-06)$ | $6.3(-06)$ | $6.6(-06)$ | $6.1(-06)$
C (370.4 $\mu$m) | $1.8(-05)$ | $4.1(-05)$ | $6.4(-05)$ | $5.9(-05)$ | $5.3(-05)$ | $5.1(-05)$ | $5.3(-05)$ | $5.0(-05)$
O (145.5 $\mu$m) | $3.7(-04)$ | $1.4(-03)$ | $3.0(-03)$ | $2.8(-03)$ | $2.8(-03)$ | $2.8(-03)$ | $3.0(-03)$ | $3.3(-03)$
O (63.2 $\mu$m) | $2.0(-02)$ | $6.5(-02)$ | $1.3(-01)$ | $1.2(-01)$ | $1.2(-01)$ | $1.2(-01)$ | $1.3(-01)$ | $1.4(-01)$
S (25.3 $\mu$m) | $6.0(-03)$ | $4.4(-02)$ | $1.7(-01)$ | $1.6(-01)$ | $1.6(-01)$ | $1.6(-01)$ | $1.7(-01)$ | $1.7(-01)$
Si (68.5 $\mu$m) | $8.1(-05)$ | $3.1(-04)$ | $5.8(-04)$ | $4.6(-04)$ | $4.0(-04)$ | $4.0(-04)$ | $4.0(-04)$ | $3.8(-04)$
Si+ (34.8 $\mu$m) | $9.5(-04)$ | $2.8(-03)$ | $5.5(-03)$ | $5.9(-03)$ | $6.3(-03)$ | $6.7(-03)$ | $7.1(-03)$ | $8.3(-03)$
Atomic metastable lines
O (6300 Å) | $9.3(-11)$ | $4.9(-08)$ | $7.6(-02)$ | $6.3(-02)$ | $7.8(-02)$ | $9.8(-02)$ | $1.2(-01)$ | $2.2(-01)$
O (6364 Å) | $3.0(-11)$ | $1.6(-08)$ | $2.4(-02)$ | $2.0(-02)$ | $2.5(-02)$ | $3.1(-02)$ | $3.8(-02)$ | $7.0(-02)$
S+ (6731 Å) | $6.8(-10)$ | $1.4(-09)$ | $1.8(-03)$ | $1.9(-03)$ | $4.9(-03)$ | $1.0(-02)$ | $1.7(-02)$ | $5.7(-02)$
S+ (6716 Å) | $9.5(-10)$ | $1.9(-09)$ | $1.9(-03)$ | $1.5(-03)$ | $3.4(-03)$ | $6.4(-03)$ | $9.8(-03)$ | $3.0(-02)$
N (5200 Å) | $1.5(-11)$ | $7.4(-08)$ | $1.3(-03)$ | $5.6(-04)$ | $5.8(-04)$ | $8.0(-04)$ | $1.0(-03)$ | $2.8(-03)$
N (5198 Å) | $1.0(-11)$ | $4.9(-08)$ | $1.3(-03)$ | $6.2(-04)$ | $7.0(-04)$ | $1.1(-03)$ | $1.5(-03)$ | $4.4(-03)$

222222Numbers in parentheses denote powers of ten.


Copyright for this paper by its authors. Use permitted under Creative Commons
License Attribution 4.0 International (CC BY 4.0)

Forum for Information Retrieval Evaluation, December 15-18, 2023, India

[orcid=0009-0002-2655-117X<EMAIL_ADDRESS>] [1] [1]

[orcid=0000-0003-0681-6628<EMAIL_ADDRESS>] [1] [1]

[1]Corresponding author.

# Software Metadata Classification based on Generative Artificial Intelligence

Seetharam Killivalavan  Sri Sivasubramaniya Nadar College of Engineering,
Chennai, Tamil Nadu- 603110  Durairaj Thenmozhi

(2023)

###### Abstract

This paper presents a novel approach to enhance the performance of binary code
comment quality classification models through the application of Generative
Artificial Intelligence (AI). By leveraging the OpenAI API, a dataset
comprising 1239 newly generated code-comment pairs, extracted from various
GitHub repositories and open-source projects, has been labelled as "Useful" or
"Not Useful", and integrated into the existing corpus of 9048 pairs in the C
programming language. Employing a cutting-edge Large Language Model
Architecture, the generated dataset demonstrates notable improvements in model
accuracy. Specifically, when incorporated into the Support Vector Machine
(SVM) model, a 6% increase in precision is observed, rising from 0.79 to 0.85.
Additionally, the Artificial Neural Network (ANN) model exhibits a 1.5%
increase in recall, climbing from 0.731 to 0.746. This paper sheds light on
the potential of Generative AI in augmenting code comment quality
classification models. The results affirm the effectiveness of this
methodology, indicating its applicability in broader contexts within software
development and quality assurance domains. The findings underscore the
significance of integrating generative techniques to advance the accuracy and
efficacy of machine learning models in practical software engineering
scenarios.

###### keywords:

Code Comment Quality Classification Generative Artificial Intelligence Support
Vector Machines Artificial Neural Networks Natural Language Processing

##  1 Introduction

Code comments play a vital role in software development, aiding comprehension,
collaboration and maintenance [1]. Manual evaluation is arduous, time-
consuming and subjective [2]. We propose the integration of Generative AI to
enhance automation [3], potentially revolutionizing code quality assessment
and streamlining the Software Development Life Cycle (SDLC). Facilitating an
efficient SDLC, where comments guide developers, accelerating issue resolution
and laying a strong foundation for future iterations [4]. This paper outlines
our methodology, experiments and transformative potential for the software
engineering community [5]. The subsequent sections will provide a brief
overview of the existing landscape of code comment classification and the
generation of our dataset utilizing Large Language Models (LLMs).

###  1.1  CODE COMMENT CLASSIFICATION: CURRENT LANDSCAPE AND CHALLENGES

In software development, code comments play a vital role in providing insights
into logic, design choices, and potential challenges [6]. However, manual
evaluation is inherently subjective, tedious and often inconsistent [4]. To
address this, code comment classification has emerged, automating the
categorization process, which entails assigning labels such as "Useful" or
"Not Useful" to comments, streamlining codebase analysis [7]. In this paper,
we explore the enhancement of classification models with Generative AI [3],
potentially revolutionizing comment utility assessment. Automated
classification allows for more efficient resource allocation, ensuring crucial
comments receive due attention. This introduction sets the stage for a deeper
examination of the impact of LLMs in shaping the future of code comment
classification, demonstrating potential transformative progress in software
development practices [1].

###  1.2 IMPACT OF LLM ON THE QUALITY OF COMMENTS

The integration of Large Language Models (LLMs) represents a pivotal
advancement in the realm of code comment quality assessment [3]. These models
go beyond syntax, understanding code’s semantic context. They generate
relevant comments, streamlining the comment creation process, which enhances
utility for developers throughout the SDLC. The impact of LLMs extends beyond
classification, fundamentally influencing how developers engage with code.
Integrating LLMs promises more precise communication and more effective
collaboration. This transformative potential signifies the crucial role of
LLMs in shaping the future of code comment quality assessment.

The integration of Generative AI in the IRSE@FIRE-2023 task [8] poised to
revolutionize code quality assessment and enhance the Software Development
Life Cycle (SDLC), fostering more efficient resource allocation and
collaboration among developers.

The subsequent sections are structured as follows: Section 2 delves into
comment classification and Generative AI background. Section 3 outlines the
task and dataset. Section 4 presents our methodology. Results are detailed in
Section 5, and in Section 6, we compare our models and embeddings with
existing approaches in code comment quality classification, highlighting their
distinct contributions. Finally, Section 7 concludes with a concise summary of
our findings and a discussion of potential future research directions.

##  2 Related Work

This section provides a comprehensive overview of prior research in code
comment quality classification. Noteworthy studies have leveraged NLP and Text
Analysis for classification [6], addressed multilingual challenges with neural
language models [9] and introduced frameworks like CommentEval for accurate
classification [7]. Other approaches introduced contextualized embeddings [10]
and analyzed commenting habits in open-source Java projects [2].

Additionally, Comment-Mine presented a semantic search architecture [4], while
ReposSkillMiner pioneered an approach leveraging the GitHub API and NLP [11].
Prometheus introduced an efficient system for crawling and storing software
repositories from GitHub [12].

Our methodology stands out by incorporating Generative AI through Large
Language Models (LLMs), offering a transformative approach to code comment
quality classification. This novel methodology addresses existing limitations,
promising a more accurate assessment of code comments.

Furthermore, our methodology, driven by generative AI and LLM, marks a
significant stride in redefining code analysis and documentation in software
development. This research paper showcases the transformative potential of
advanced technologies in practical software engineering, presenting a new
paradigm for code comment classification.

##  3 Task and Dataset Description

This section outlines the IRSE@FIRE-2023 task [8], focused on improving a
binary code comment quality classification model. The task involves
integrating newly generated code-comment pairs for enhanced accuracy. It
comprises an initial dataset of 9048 labeled code-comment pairs in C, out of
which 5378 were classified as "Useful" and 3670 were classified as "Not
Useful", along with additional pairs generated using a Large Language Model
(LLM), each labeled.

The desired output includes two versions of the classification model: one with
the added generated pairs and labels, and another without. The starting
dataset encompasses 9048 comments from GitHub, each with the comment text,
surrounding code, and a corresponding usefulness label (Table 1).

Table 1: Sample Data Instance Comment |  Code |  Label
---|---|---
/* Swap two values */ |  void swapValues(int *x, int *y) { int temp; temp = *x; *x = *y; *y = temp;} |  Useful
/* Compute the sixth power */ |  int result = computeSixthPower(value); |  Not Useful
/*Simple variable declaration */ |  int x = 10; |  Not Useful

To establish the ground truth, 14 annotators assessed each comment
independently, resulting in substantial agreement (Cohen’s kappa value of
0.734). The annotation process involved the assessment of a comprehensive set
of 16,000 comments.

Participants are also tasked with generating an additional dataset of labeled
code-comment pairs from GitHub using an LLM. This dataset is to be submitted
alongside the task.

In summary, the objective is to refine the code comment quality classification
model by integrating newly generated pairs, ultimately enhancing accuracy and
effectiveness.

For further details, please refer to the task description provided at
IRSE@FIRE-2023 111https://sites.google.com/view/irse2023/home.

##  4 Methodology

Our approach encompasses the combination robust methodologies, including
Support Vector Machine (SVM) models for classification and Artificial Neural
Networks (ANN) with diverse activation functions for capturing complex data
relationships [13]. Additionally, we leverage Large Language Models (LLMs) via
the OpenAI API and utilize GitHub repositories to generate a diverse and
substantial dataset of code-comment pairs. The following subtopics detail our
specific methodologies: implementing SVM models, exploring ANN models, and
generating datasets using the OpenAI API and GitHub repositories. These
methodologies collectively form the foundation of our innovative approach to
code comment quality assessment. Within the framework of our methodology,
Figure 1 elegantly elucidates the architectural blueprint that underpins our
approach.

Figure 1: Architecture Diagram

###  4.1 Support Vector Machines

A Linear Support Vector Machine (SVM) is a powerful classification technique
that finds the optimal hyperplane for effective data separation, expressed as
$y=mx+b$, where $y$ is the predicted class label, $x$ is the input data, $m$
is the slope and $b$ is the y-intercept. It maximizes the margin, which is the
distance between the hyperplane and the nearest data points. This margin (M)
can be calculated as:

$M=\frac{2}{\|m\|}$ (1)

where ||m|| is the length of the weight vector m.

SVM aims to minimize the square of the length of the weight vector (||m||²)
while ensuring that each data point $x_{i}$ is correctly classified:

$y_{i}(m\cdot x_{i}+b)\geq 1$ (2)

Equation 2 states that the product must be greater than or equal to 1 for all
data points, emphasizing the importance of well-defined class separation in
SVM classification. This condition is central to SVM’s goal of locating an
optimal hyperplane, maximizing the margin, and guaranteeing accurate data
point classification. Support vectors, those closest to the hyperplane, are
pivotal in margin definition, thereby influencing SVM’s overall performance.

###  4.2 Artificial Neural Networks

Artificial Neural Networks (ANNs) are adaptable machine learning models that
draw inspiration from the architecture and operation of the human brain. They
excel at discerning complex data relationships, making them highly effective
for tasks like code comment quality classification. The mathematical
representation of a single neuron in an ANN is given by:

$Z=\textit{w}_{1}\textit{x}_{1}+\textit{w}_{2}\textit{x}_{2}+\ldots+\textit{w}_{n}\textit{x}_{n}+\textit{b}$
(3)

where $x_{n}$ are input features, $w_{n}$ are corresponding weights and $b$ is
the bias term.

The weighted sum (Z) is then passed through an activation function, which
introduces non-linearity into the model. Different activation functions yield
different learning behaviours.

Here are a few common activation functions and their formulas:

i) Logistic Function:

$f(Z)=\frac{1}{1+e^{-Z}}$

ii) Rectified Linear Unit (ReLU):

$f(Z)=\max(0,Z)$

iii) Hyperbolic Tangent (tanh):

$f(Z)=\frac{e^{Z}-e^{-Z}}{e^{Z}+e^{-Z}}$

###  4.3 Leveraging LLM for Generation of Dataset

Our methodology encompasses a multi-step approach to dataset generation.
Initially, we leveraged both the OpenAI API, powered by the Curie Model, and
GitHub repositories to diversify our dataset. The API simulated real-world
coding scenarios, producing authentic code-comment pairs and substantially
augmenting our dataset. Complementing this, we extracted additional pairs from
various open-source projects on GitHub, ensuring relevance and utility. This
combined strategy significantly broadened the dataset’s coverage while
upholding high quality standards. Subsequently, the code-comment pairs
underwent processing using OpenAI’s Curie Model in conjunction with BERT for
label generation, signifying comment usefulness. This involved presenting
prompts with both code and comment, and employing the LLM to generate a label.
Finally, the dataset was meticulously assembled, each entry comprising code,
comment, and the corresponding generated label. This rigorous methodology
serves as a robust foundation for our code comment quality classification
model.

##  5 Analysis of Results

The evaluation of our code comment quality classification model stands as a
pivotal phase in gauging its efficacy. Leveraging a combination of Support
Vector Machines (SVM) and Artificial Neural Networks (ANN) equipped with
diverse activation functions (ReLU, identity, logistic, and tanh), we
conducted a comprehensive analysis of the model’s performance. This
multifaceted approach not only provided us with a deeper understanding of the
model’s adaptability but also demonstrated its robustness across varying
scenarios. Moreover, the integration of these methodologies yielded a marked
improvement in the precision score. This enhancement underscores the model’s
heightened capacity to accurately categorize code comments based on their
practical utility. These findings echo previous studies that have highlighted
the efficacy of SVM and ANN models in code comment quality assessment. The
utilization of various activation functions further emphasizes the versatility
of our approach. Overall, this evaluation phase solidifies the effectiveness
of our classification model and its potential applicability in real-world
software development contexts.

###  5.1 Classification Models

The evaluation of our code comment quality classification models yielded
insightful findings, showcasing the impact of integrating LLM-generated data
into our seed dataset of 9048 entries. This initial dataset was thoughtfully
partitioned into training, testing and validation sets, with the testing set
comprising 1718 entries. With the Seed Data, SVM exhibited commendable
precision (0.79), while ANN with ReLU activation demonstrated remarkable
effectiveness, resulting in a notable recall score (0.731). Models with tanh
and logistic activation functions showed similar precision scores of 0.726 and
0.73.

Post integration of 1239 LLM-generated entries, which seamlessly enriched the
Seed Data, SVM’s precision notably increased by 6%, elevating the preceding
value to 0.85, highlighting the value of incorporating generative AI. Using
ReLU, ANN achieved a noteworthy 1.5% rise in its recall, giving it a final
recall of 0.746, while tanh and logistic functions yielded marginal changes.
Extensive experimentation with varied SVM models and ANN activation functions
was performed, and the results depicts the effectiveness of our approach,
emphasizing the importance of meticulous experimentation in fine-tuning models
for code comment quality analysis.

Furthermore, for detailed numerical insights, please refer to Table 2, which
provides a comparison of the model performance, offering the classification
report of our top-performing models. It serves as a comprehensive reference
for our findings and allows the comparison of test accuracies and F1 scores
before and after integration.

Table 2: Model Performance Comparison Model | Performance with Seed Data | Performance with Integrated Data
---|---|---
| Test Accuracy | F1-Score | Test Accuracy | F1-Score
Linear SVM | 0.802 | 0.787 | 0.811 | 0.789
SVM (poly. kernel) | 0.79 | 0.77 | 0.805 | 0.78
ANN (ReLU) | 0.742 | 0.73 | 0.75 | 0.74
ANN (tanh) | 0.74 | 0.725 | 0.743 | 0.733
ANN (logistic) | 0.739 | 0.721 | 0.741 | 0.73
ANN (identity) | 0.741 | 0.724 | 0.742 | 0.729

###  5.2 Analysis of Dataset Generated using LLM

The integration of data generated by OpenAI’s Large Language Model (LLM), in
conjunction with the utilization of the Curie model, and the inclusion of
diverse datasets from various GitHub repositories and open-source projects
represents a significant stride in elevating our code comment quality
classification model. By meticulously adding 1239 new entries to our original
dataset, we substantially enriched the diversity of our training corpus. This
augmentation in data diversity led to a marked improvement in the accuracy of
our classification model, benefiting both Support Vector Machine (SVM) and
Artificial Neural Network (ANN) models. The heightened sensitivity achieved
through this amalgamation enhances the model’s generalization and prediction
capabilities, underscoring the value of incorporating external data sources.
Furthermore, the integration of BERT embeddings and the Curie model empowered
our model to adeptly capture the intricacies of code commentary, notably
enhancing its ability to distinguish between "Useful" and "Not Useful"
comments. This capability proves crucial in real-world scenarios, where
precise comment assessment plays a pivotal role in influencing the
effectiveness of software development and maintenance processes.

##  6 Discussion

In this section, we conduct a thorough comparative analysis of our models and
embeddings in relation to previous studies on code comment classification. Our
deliberate emphasis on Support Vector Machine (SVM) and Artificial Neural
Network (ANN) models, each with specific activation functions, allows for an
in-depth exploration of their efficacy. This focused investigation provides
nuanced insights into their performance in code comment quality assessment,
contrasting with the broader set of classifiers utilized by Majumdar et al.
(2022a) [7].

Additionally, our research methodology diverges from the work of Majumdar et
al. (2020) [4], which primarily centers on the extraction of knowledge domains
from code comments for addressing developer queries during maintenance. In
contrast, our focus centers on the development and evaluation of code comment
quality classification models. This includes the integration of LLM-generated
data, resulting in significant enhancements in classification precision.

Concerning embeddings, Majumdar et al. (2022b) [10] emphasize contextualized
word representations fine-tuned on software development texts. In our case, we
utilized both BERT and custom embeddings specifically tailored for software
development concepts. This approach provided high-dimensional semantic
representations, catering to a wide array of natural language processing
tasks. It’s worth noting that for labeling, we harnessed the Curie model. This
distinction underscores the versatility and broader applicability of our
embeddings compared to the contextualized embeddings discussed by Majumdar et
al (2022b)[10].

Fundamentally, our proposition emphatically focuses on specific models and
embeddings, providing unique insights into their effectiveness for assessing
code comment quality. The emphasis on specific models and customized
embeddings offers detailed insights into evaluating code comment quality,
distinguishing it from the broader, contextually-focused techniques utilized
in prior research [10].

##  7 Conclusion

In conclusion, our research marks a significant advancement in code comment
classification, particularly in binary classification. This progress was
achieved through the strategic use of state-of-the-art machine learning
models. We leveraged the strengths of Support Vector Machine (SVM) and
Artificial Neural Network (ANN) models, each excelling in their respective
classification tasks. The SVM model, known for its ability to define clear
decision boundaries, played a pivotal role. Meanwhile, the ANN model, inspired
by the human brain’s workings, proved invaluable in capturing intricate data
relationships. Our exploration of various activation functions for the ANN
further underscores the thoroughness of our approach. This combination of
methodologies greatly contributed to our classification success, setting the
stage for more nuanced approaches in software development and quality
assurance.

The integration of data generated through OpenAI’s Large Language Models
proved instrumental, resulting in the creation of 1239 new data entries. This
augmentation resulted in a commendable 6% increase in precision and a notable
1.5% boost in recall for the SVM and ANN models respectively. Prior to the
integration of LLM-generated data, our SVM and ANN models demonstrated test
accuracies of 80.2% and 74.2% respectively. Post-integration, these figures
rose to 81.1% and 75%, underscoring the tangible impact of this augmentation.

In the near future, the implications of this research paper extend beyond the
confines of code comment classification. The methodologies employed here have
laid a foundation for more nuanced and adaptable approaches to tasks in
software development and quality assurance. The integration of generative AI,
as demonstrated through the use of LLM, holds promise in revolutionizing how
we approach code analysis and documentation. As software landscapes continue
to evolve, this paper serves as a testament to the transformative potential of
incorporating cutting-edge technologies in practical software engineering
scenarios.

## References

  * de Souza et al. [2005] S. C. B. de Souza, N. Anquetil, K. M. de Oliveira,  A study of the documentation essential to software maintenance,  in: Proceedings of the 23rd annual international conference on Design of communication: documenting & designing for pervasive information, 2005, pp. 68–75.
  * Haouari et al. [2011] D. Haouari, H. Sahraoui, P. Langlais,  How good is your comment? a study of comments in java programs,  in: 2011 International symposium on empirical software engineering and measurement, IEEE, 2011, pp. 137–146.
  * Ebert and Louridas [2023] C. Ebert, P. Louridas,  Generative ai for software practitioners,  IEEE Software 40 (2023) 30–38.
  * Majumdar et al. [2020] S. Majumdar, S. Papdeja, P. P. Das, S. K. Ghosh,  Comment-mine—a semantic search approach to program comprehension from code comments,  Advanced Computing and Systems for Security: Volume Twelve (2020) 29–42.
  * Roehm et al. [2012] T. Roehm, R. Tiarks, R. Koschke, W. Maalej,  How do professional developers comprehend software?,  in: 2012 34th International Conference on Software Engineering (ICSE), IEEE, 2012, pp. 255–265.
  * Rani et al. [2021] P. Rani, S. Panichella, M. Leuenberger, A. Di Sorbo, O. Nierstrasz,  How to identify class comment types? a multi-language approach for class comment classification,  Journal of systems and software 181 (2021) 111047.
  * Majumdar et al. [022a] S. Majumdar, A. Bansal, P. P. Das, P. D. Clough, K. Datta, S. K. Ghosh,  Automated evaluation of comments to aid software maintenance,  Journal of Software: Evolution and Process 34 (2022a) e2463.
  * Majumdar et al. [2023] S. Majumdar, S. Paul, D. Paul, A. Bandyopadhyay, B. Dave, S. Chattopadhyay, P. P. Das, P. D. Clough, P. Majumder,  Generative ai for software metadata: Overview of the information retrieval in software engineering track at fire 2023,  in: Forum for Information Retrieval Evaluation, ACM, 2023.
  * Kostić et al. [2023] M. Kostić, V. Batanović, B. Nikolić,  Monolingual, multilingual and cross-lingual code comment classification,  Engineering Applications of Artificial Intelligence 124 (2023) 106485.
  * Majumdar et al. [022b] S. Majumdar, A. Varshney, P. P. Das, P. D. Clough, S. Chattopadhyay,  An effective low-dimensional software code representation using bert and elmo,  in: 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS), IEEE, 2022b, pp. 763–774.
  * Kourtzanidis et al. [2020] S. Kourtzanidis, A. Chatzigeorgiou, A. Ampatzoglou,  Reposkillminer: identifying software expertise from github repositories using natural language processing,  in: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020, pp. 1353–1357.
  * Jobst et al. [2022] A. Jobst, D. Atzberger, T. Cech, W. Scheibel, M. Trapp, J. Döllner,  Efficient github crawling using the graphql api,  in: International Conference on Computational Science and Its Applications, Springer, 2022, pp. 662–677.
  * Igual et al. [2017] L. Igual, S. Seguí, L. Igual, S. Seguí, Introduction to data science, Springer, 2017.