equation_database.doi_10_1007_JHEP06_2010_043
Functions
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DOI, arXiv, A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX |
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- equation_database.doi_10_1007_JHEP06_2010_043.equation_A_21(p=p, p_0=p_0, phat=\hat{p}, m=m, mhat=\hat{m}, m_0=m_0, mvec=\vec{m}, beta=beta)[source]
- Parameters:
p – massless four momentum
m – massive four momentum
- Returns:
\(\hat{p} = \frac{p}{p_{0}}\), \(\hat{m} = \frac{m}{m_{0}}\), \(\beta = \frac{\left|{\vec{m}}\right|}{m_{0}}\),
\hat{p} = \frac{p}{p_{0}} \hat{m} = \frac{m}{m_{0}} \beta = \frac{\left|{\vec{m}}\right|}{m_{0}}
<apply><eq/><ci>\hat{p}</ci><apply><divide/><ci>p</ci><ci><mml:msub><mml:mi>p</mml:mi><mml:mi>0</mml:mi></mml:msub></ci></apply></apply> <apply><eq/><ci>\hat{m}</ci><apply><divide/><ci>m</ci><ci><mml:msub><mml:mi>m</mml:mi><mml:mi>0</mml:mi></mml:msub></ci></apply></apply> <apply><eq/><ci>β</ci><apply><divide/><apply><abs/><ci>\vec{m}</ci></apply><ci><mml:msub><mml:mi>m</mml:mi><mml:mi>0</mml:mi></mml:msub></ci></apply></apply>
Eq(\hat{p}, p/p_0) Eq(\hat{m}, m/m_0) Eq(beta, Abs(\vec{m})/m_0)
\hat{p} == p./p_0 \hat{m} == m./m_0 beta == abs(\vec{m})./m_0
\hat{p} == p/p_0 \hat{m} == m/m_0 beta == Abs[\vec{m}]/m_0
(\hatp == p/p_0) (\hatm == m/m_0) (beta == abs(\vecm)/m_0)
\hat{p} == p/p_0 \hat{m} == m/m_0 beta == fabs(\vec{m})/m_0
\hat{p} == p/p_0 \hat{m} == m/m_0 beta == std::fabs(\vec{m})/m_0
\hat{p} == p/p_0 \hat{m} == m/m_0 beta == abs(\vec{m})/m_0
\hat{p} == p/p_0 \hat{m} == m/m_0 beta == \vec{m}.abs()/m_0
p \hat{p} = --- p_0 m \hat{m} = --- m_0 |\vec{m}| beta = --------- m_0
p \hat{p} = ── p₀ m \hat{m} = ── m₀ │\vec{m}│ β = ───────── m₀
- equation_database.doi_10_1007_JHEP06_2010_043.equation_A_23(I_0=I_0, p=p, m=m, phat=\hat{p}, mhat=\hat{m})[source]
- Parameters:
p – massless four momentum
m – massive four momentum
phat – normalized p momentum (see
equation_A_21())mhat – normalized m momentum (see
equation_A_21())
- Returns:
\(I_{0}{\left(p,m \right)} = \log{\left(\left(\hat{p} \hat{m}\right)^{2} \hat{m}^{-2} \right)}\),
I_{0}{\left(p,m \right)} = \log{\left(\left(\hat{p} \hat{m}\right)^{2} \hat{m}^{-2} \right)}
<apply><eq/><apply><i_0/><ci>p</ci><ci>m</ci></apply><apply><ln/><apply><times/><apply><power/><apply><times/><ci>\hat{p}</ci><ci>\hat{m}</ci></apply><cn>2</cn></apply><apply><power/><ci>\hat{m}</ci><cn>-2</cn></apply></apply></apply></apply>
Eq(I_0(p, m), log((\hat{p}*\hat{m})**2*\hat{m}**(-2)))
I_0[p, m] == Log[(1)*((1)*\hat{p}**\hat{m})^2**\hat{m}^(-2)]
/ 2 -2\ I_0(p, m) = log\(\hat{p}*\hat{m}) *\hat{m} /
⎛ 2 -2⎞ I₀(p, m) = log⎝(\hat{p}⋅\hat{m}) ⋅\hat{m} ⎠
- equation_database.doi_10_1007_JHEP06_2010_043.equation_A_24(I_epsilon=I_\epsilon, p=p, m=m, phat=\hat{p}, beta=beta)[source]
- Parameters:
p – massless four momentum
m – massive four momentum
phat – normalized p momentum (see
equation_A_21())beta – normalized m three momentum (see
equation_A_21())
- Returns:
\(I_{\epsilon}{\left(p,m \right)} = - 2 \left(\frac{\log{\left(\frac{1 - \beta}{\beta + 1} \right)}^{2}}{4} + \log{\left(\frac{\hat{p} m}{\beta + 1} \right)} \log{\left(\frac{\hat{p} m}{1 - \beta} \right)} + \operatorname{Li}_{2}\left(1 - \frac{\hat{p} m}{1 - \beta}\right) + \operatorname{Li}_{2}\left(1 - \frac{\hat{p} m}{\beta + 1}\right)\right)\),
I_{\epsilon}{\left(p,m \right)} = - 2 \left(\frac{\log{\left(\frac{1 - \beta}{\beta + 1} \right)}^{2}}{4} + \log{\left(\frac{\hat{p} m}{\beta + 1} \right)} \log{\left(\frac{\hat{p} m}{1 - \beta} \right)} + \operatorname{Li}_{2}\left(1 - \frac{\hat{p} m}{1 - \beta}\right) + \operatorname{Li}_{2}\left(1 - \frac{\hat{p} m}{\beta + 1}\right)\right)
<apply><eq/><apply><i_\epsilon/><ci>p</ci><ci>m</ci></apply><apply><minus/><apply><times/><cn>2</cn><apply><plus/><apply><divide/><apply><power/><apply><ln/><apply><divide/><apply><minus/><cn>1</cn><ci>β</ci></apply><apply><plus/><ci>β</ci><cn>1</cn></apply></apply></apply><cn>2</cn></apply><cn>4</cn></apply><apply><times/><apply><ln/><apply><divide/><apply><times/><ci>\hat{p}</ci><ci>m</ci></apply><apply><plus/><ci>β</ci><cn>1</cn></apply></apply></apply><apply><ln/><apply><divide/><apply><times/><ci>\hat{p}</ci><ci>m</ci></apply><apply><minus/><cn>1</cn><ci>β</ci></apply></apply></apply></apply><apply><polylog/><cn>2</cn><apply><minus/><cn>1</cn><apply><divide/><apply><times/><ci>\hat{p}</ci><ci>m</ci></apply><apply><minus/><cn>1</cn><ci>β</ci></apply></apply></apply></apply><apply><polylog/><cn>2</cn><apply><minus/><cn>1</cn><apply><divide/><apply><times/><ci>\hat{p}</ci><ci>m</ci></apply><apply><plus/><ci>β</ci><cn>1</cn></apply></apply></apply></apply></apply></apply></apply></apply>
Eq(I_\epsilon(p, m), -2*(log((1 - beta)/(beta + 1))**2/4 + log(\hat{p}*m/(beta + 1))*log(\hat{p}*m/(1 - beta)) + polylog(2, 1 - \hat{p}*m/(1 - beta)) + polylog(2, 1 - \hat{p}*m/(beta + 1))))
I_\epsilon[p, m] == -2*((1/4)*Log[(1 - beta)/(beta + 1)]^2 + (1)*Log[1/(beta + 1)*\hat{p}**m]**Log[1/(1 - beta)*\hat{p}**m] + PolyLog[2, 1 - 1/(1 - beta)*\hat{p}**m] + PolyLog[2, 1 - 1/(beta + 1)*\hat{p}**m])
/ 2/1 - beta\ > |log |--------| > | \beta + 1/ /\hat{p}*m\ /\hat{p}*m\ > I_\epsilon(p, m) = -2*|-------------- + log|---------|*log|---------| + polylo > \ 4 \beta + 1 / \1 - beta / > > \ > | > / \hat{p}*m\ / \hat{p}*m\| > g|2, 1 - ---------| + polylog|2, 1 - ---------|| > \ 1 - beta / \ beta + 1 //
⎛ 2⎛1 - β⎞ ↪ ⎜log ⎜─────⎟ ↪ ⎜ ⎝β + 1⎠ ⎛\hat{p}⋅m⎞ ⎛\hat{p}⋅m⎞ ⎛ \ ↪ I_\epsilon(p, m) = -2⋅⎜─────────── + log⎜─────────⎟⋅log⎜─────────⎟ + Li₂⎜1 - ─ ↪ ⎝ 4 ⎝ β + 1 ⎠ ⎝ 1 - β ⎠ ⎝ ↪ ↪ ⎞ ↪ ⎟ ↪ hat{p}⋅m⎞ ⎛ \hat{p}⋅m⎞⎟ ↪ ────────⎟ + Li₂⎜1 - ─────────⎟⎟ ↪ 1 - β ⎠ ⎝ β + 1 ⎠⎠
- equation_database.doi_10_1007_JHEP06_2010_043.equation_A_41(I_0=I_0, k_1=k_1, k_2=k_2, beta=beta)[source]
- Parameters:
k1 – massive four momentum
k2 – massive four momentum
- Returns:
\(I_{0}{\left(k_{1},k_{2} \right)} = \frac{\log{\left(\frac{\beta + 1}{1 - \beta} \right)}}{\beta}\), \(\beta = \sqrt{1 - k_{1}^{2} k_{2}^{2} \left(k_{1} k_{2}\right)^{-2}}\),
I_{0}{\left(k_{1},k_{2} \right)} = \frac{\log{\left(\frac{\beta + 1}{1 - \beta} \right)}}{\beta} \beta = \sqrt{1 - k_{1}^{2} k_{2}^{2} \left(k_{1} k_{2}\right)^{-2}}
<apply><eq/><apply><i_0/><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>1</mml:mi></mml:msub></ci><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>2</mml:mi></mml:msub></ci></apply><apply><divide/><apply><ln/><apply><divide/><apply><plus/><ci>β</ci><cn>1</cn></apply><apply><minus/><cn>1</cn><ci>β</ci></apply></apply></apply><ci>β</ci></apply></apply> <apply><eq/><ci>β</ci><apply><root/><apply><minus/><cn>1</cn><apply><times/><apply><power/><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>1</mml:mi></mml:msub></ci><cn>2</cn></apply><apply><power/><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>2</mml:mi></mml:msub></ci><cn>2</cn></apply><apply><power/><apply><times/><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>1</mml:mi></mml:msub></ci><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>2</mml:mi></mml:msub></ci></apply><cn>-2</cn></apply></apply></apply></apply></apply>
Eq(I_0(k_1, k_2), log((beta + 1)/(1 - beta))/beta) Eq(beta, sqrt(1 - k_1**2*k_2**2*(k_1*k_2)**(-2)))
I_0[k_1, k_2] == Log[(beta + 1)/(1 - beta)]/beta beta == (1 - 1*k_1^2**k_2^2**((1)*k_1**k_2)^(-2))^(1/2)
/beta + 1\ log|--------| \1 - beta/ I_0(k_1, k_2) = ------------- beta 1/2 / 2 2 -2\ beta = \1 - k_1 *k_2 *(k_1*k_2) /
⎛β + 1⎞ log⎜─────⎟ ⎝1 - β⎠ I₀(k₁, k₂) = ────────── β 1/2 ⎛ 2 2 -2⎞ β = ⎝1 - k₁ ⋅k₂ ⋅(k₁⋅k₂) ⎠
- equation_database.doi_10_1007_JHEP06_2010_043.equation_A_50(I_epsilon=I_\epsilon, K=K, a=a, b=b, k_1=k_1, k_2=k_2, vec_beta_1=\vec{\beta}_1, vec_beta_2=\vec{\beta}_2, z_1=z_1, z_2=z_2)[source]
- Parameters:
k1 – massive four momentum
k2 – massive four momentum
- Returns:
\(I_{\epsilon}{\left(k_{1},k_{2} \right)} = \frac{\left(- K{\left(z_{1} \right)} + K{\left(z_{2} \right)}\right) \left(1 - \vec{\beta}_1 \vec{\beta}_2\right)}{\sqrt{a \left(1 - b\right)}}\),
I_{\epsilon}{\left(k_{1},k_{2} \right)} = \frac{\left(- K{\left(z_{1} \right)} + K{\left(z_{2} \right)}\right) \left(1 - \vec{\beta}_1 \vec{\beta}_2\right)}{\sqrt{a \left(1 - b\right)}}
<apply><eq/><apply><i_\epsilon/><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>1</mml:mi></mml:msub></ci><ci><mml:msub><mml:mi>k</mml:mi><mml:mi>2</mml:mi></mml:msub></ci></apply><apply><divide/><apply><times/><apply><plus/><apply><minus/><apply><k/><ci><mml:msub><mml:mi>z</mml:mi><mml:mi>1</mml:mi></mml:msub></ci></apply></apply><apply><k/><ci><mml:msub><mml:mi>z</mml:mi><mml:mi>2</mml:mi></mml:msub></ci></apply></apply><apply><minus/><cn>1</cn><apply><times/><ci><mml:msub><mml:mi>\vec{\beta}</mml:mi><mml:mi>1</mml:mi></mml:msub></ci><ci><mml:msub><mml:mi>\vec{\beta}</mml:mi><mml:mi>2</mml:mi></mml:msub></ci></apply></apply></apply><apply><root/><apply><times/><ci>a</ci><apply><minus/><cn>1</cn><ci>b</ci></apply></apply></apply></apply></apply>
Eq(I_\epsilon(k_1, k_2), (-K(z_1) + K(z_2))*(1 - \vec{\beta}_1*\vec{\beta}_2)/sqrt(a*(1 - b)))
I_\epsilon[k_1, k_2] == (-K[z_1] + K[z_2])/(a*(1 - b))^(1/2)*(1 - 1*\vec{\beta}_1**\vec{\beta}_2)
(-K(z_1) + K(z_2))*(1 - \vec{\beta}_1*\vec{\beta}_2) I_\epsilon(k_1, k_2) = ---------------------------------------------------- ___________ \/ a*(1 - b)
(-K(z₁) + K(z₂))⋅(1 - \vec{\beta}₁⋅\vec{\beta}₂) I_\epsilon(k₁, k₂) = ──────────────────────────────────────────────── ___________ ╲╱ a⋅(1 - b)
- equation_database.doi_10_1007_JHEP06_2010_043.bibtex()[source]
DOI, arXiv, A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX
@article{Alioli:2010xd, author = "Alioli, Simone and Nason, Paolo and Oleari, Carlo and Re, Emanuele", title = "{A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX}", eprint = "1002.2581", archivePrefix = "arXiv", primaryClass = "hep-ph", reportNumber = "DESY-10-018, SFB-CPP-10-22, IPPP-10-11, DCPT-10-22", doi = "10.1007/JHEP06(2010)043", journal = "JHEP", volume = "06", pages = "043", year = "2010" }