Future subhalos show a pre-infall bias to higher progenitor masses, modeled in extended Press-Schechter theory by multiplying the collapse barrier by β(x,a)=(1-x)^{1.20+0.14a} for M200c, leading to 10-15% higher central concentration.
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QSurv uses Gauss-Legendre numerical quadrature and time-conditioned low-rank adaptation to enable scalable nonparametric continuous-time survival modeling with theoretical error bounds.
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The pre-infall bias of subhalos
Future subhalos show a pre-infall bias to higher progenitor masses, modeled in extended Press-Schechter theory by multiplying the collapse barrier by β(x,a)=(1-x)^{1.20+0.14a} for M200c, leading to 10-15% higher central concentration.
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A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
QSurv uses Gauss-Legendre numerical quadrature and time-conditioned low-rank adaptation to enable scalable nonparametric continuous-time survival modeling with theoretical error bounds.