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Emerald.ssk[11KB]
IrisSkin2.dll[504KB]
Repast.exe[835KB]
Repast.mdb[2.63MB]
Repast.mdbbak[2.68MB]
Repast.pdb[693KB]
Repast.vshost.exe[11KB]
Repast.vshost.exe.manifest[490B]
XPGreen.ssk[15KB]
Emerald.ssk[11KB]
IrisSkin2.dll[504KB]
Repast.exe[835KB]
Repast.mdb[2.63MB]
Repast.mdbbak[2.68MB]
Repast.pdb[693KB]
Repast.vshost.exe[11KB]
Repast.vshost.exe.manifest[490B]
XPGreen.ssk[15KB]
BusinessManagement
BusinessReport
My Project
Application.myapp[472B]
Settings.settings[279B]
My Project.Resources.Designer.vb.dll[7KB]
Repast.BinKeYuDing.resources[2KB]
Repast.CaiPinChaXun.resources[180B]
Repast.CaiPinWeiHu.resources[180B]
Repast.CaiPinXiangMu.resources[180B]
Repast.CaoZuoYuanGuanLi.resources[180B]
Repast.DataBF.resources[180B]
Repast.exe[835KB]
Repast.FaSongDuanXin.resources[5KB]
Repast.FormConfig.resources[2KB]
Repast.FormLogin.resources[28KB]
Repast.FormMain.resources[108KB]
Repast.FormMiMa.resources[180B]
Repast.FrmPrint.resources[180B]
Repast.HuiYuanBuKa.resources[5KB]
Repast.HuiYuanChaKan.resources[180B]
Repast.HuiYuanChongZhi.resources[180B]
Repast.HuiYuanKaHao.resources[180B]
Repast.HuiYuanLuRu.resources[2KB]
Repast.HuiYuanTiXing.resources[180B]
Repast.HuiYuanZiLiao.resources[8KB]
Repast.JiBenSheZhi.resources[180B]
Repast.JiBieSheZhi.resources[180B]
Repast.JieZhang.resources[180B]
Repast.JieZhangDanChaXun.resources[180B]
Repast.JiFenDuiHuan.resources[12KB]
Repast.KaChongZhiJiLu.resources[180B]
Repast.KaXiaoFeiTongJi.resources[180B]
Repast.KouWeiForm.resources[180B]
Repast.LockSystemUI.resources[180B]
Repast.MeiRiMingXi.resources[180B]
Repast.pdb[693KB]
Repast.Resources.resources[34KB]
Repast.ShiBieMa.resources[180B]
Repast.ShouLuXinHuiYuan.resources[180B]
Repast.ShuJuGengXin.resources[180B]
Repast.TianJiaCaoZuoYuan.resources[180B]
Repast.TianJiaChangSuo.resources[180B]
Repast.TianJiaLeiBie.resources[180B]
Repast.TianJiaYuanGong.resources[180B]
Repast.vbproj.GenerateResource.Cache[4KB]
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Repast.XiaoFeiMingXi.resources[180B]
Repast.XiaoShouXiouGai.resources[180B]
Repast.XiaoShouYuanSelect.resources[180B]
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Repast.XiouGaiDangQianMiMa.resources[180B]
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My Project.Resources.Designer.vb.dll[7KB]
Repast.BinKeYuDing.resources[2KB]
Repast.CaiPinChaXun.resources[180B]
Repast.CaiPinWeiHu.resources[180B]
Repast.CaiPinXiangMu.resources[180B]
Repast.CaoZuoYuanGuanLi.resources[180B]
Repast.DataBF.resources[180B]
Repast.exe[795KB]
Repast.FaSongDuanXin.resources[5KB]
Repast.FormConfig.resources[2KB]
Repast.FormLogin.resources[28KB]
Repast.FormMain.resources[108KB]
Repast.FormMiMa.resources[180B]
Repast.FrmPrint.resources[180B]
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Repast.JiBenSheZhi.resources[180B]
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Repast.JieZhang.resources[180B]
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Repast.KaXiaoFeiTongJi.resources[180B]
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Repast.BinKeYuDing.resources[2KB]
Repast.CaiPinChaXun.resources[180B]
Repast.CaiPinWeiHu.resources[180B]
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Repast.CaoZuoYuanGuanLi.resources[180B]
Repast.DataBF.resources[180B]
Repast.exe[835KB]
Repast.FaSongDuanXin.resources[5KB]
Repast.FormConfig.resources[2KB]
Repast.FormLogin.resources[28KB]
Repast.FormMain.resources[108KB]
Repast.FormMiMa.resources[180B]
Repast.FrmPrint.resources[180B]
Repast.HuiYuanBuKa.resources[5KB]
Repast.HuiYuanChaKan.resources[180B]
Repast.HuiYuanChongZhi.resources[180B]
Repast.HuiYuanKaHao.resources[180B]
Repast.HuiYuanLuRu.resources[2KB]
Repast.HuiYuanTiXing.resources[180B]
Repast.HuiYuanZiLiao.resources[8KB]
Repast.JiBenSheZhi.resources[180B]
Repast.JiBieSheZhi.resources[180B]
Repast.JieZhang.resources[180B]
Repast.JieZhangDanChaXun.resources[180B]
Repast.JiFenDuiHuan.resources[12KB]
Repast.KaChongZhiJiLu.resources[180B]
Repast.KaXiaoFeiTongJi.resources[180B]
Repast.KouWeiForm.resources[180B]
Repast.LockSystemUI.resources[180B]
Repast.MeiRiMingXi.resources[180B]
Repast.pdb[693KB]
Repast.Resources.resources[34KB]
Repast.ShiBieMa.resources[180B]
Repast.ShouLuXinHuiYuan.resources[180B]
Repast.ShuJuGengXin.resources[180B]
Repast.TianJiaCaoZuoYuan.resources[180B]
Repast.TianJiaChangSuo.resources[180B]
Repast.TianJiaLeiBie.resources[180B]
Repast.TianJiaYuanGong.resources[180B]
Repast.vbproj.GenerateResource.Cache[4KB]
Repast.XiangMuLeibie.resources[180B]
Repast.XiaoFeiMingXi.resources[180B]
Repast.XiaoShouXiouGai.resources[180B]
Repast.XiaoShouYuanSelect.resources[180B]
Repast.XinXiXiouGai.resources[180B]
Repast.XiouGaiDangQianMiMa.resources[180B]
Repast.YingYeChangSuo.resources[180B]
Repast.YuanGongGuanLi.resources[180B]
Repast.YuDingGuanLi.resources[2KB]
Repast.YuDingXianShi.resources[180B]
Repast.ZhuanBingTai.resources[180B]
Repast.ZhuCe.resources[180B]
Repast.ZhuoTaiCaoZuo.resources[180B]
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ResolveAssemblyReference.cache[5KB]
b_g.jpg[645B]
Thumbs.db[3KB]
SystemSettings
餐饮管理系统.CHM[2MB]
ClassDiagram1.cd[1B]
from.gif[4KB]
Pie Chart.ico[34KB]
Repast.sln[1KB]
Repast.suo[63KB]
Repast.vbproj[26KB]
Repast.vbproj.user[168B]
最新Asp.Net源码下载.url[125B]
当前路径：FormLogin.resx
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"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"# Nuclear Data"
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook downloads and prepares various databases of nuclear binding energies for use elsewhere.
It should only need to be run once when it will download the data, and defined the interpretation code.
Data is stored in the ``_data`` directory.
The data is presented in terms of importable modules which contain a ``data`` list whos first three elements are ``(Nn, Np, E+dE*1j)`` where the binding energies ``E`` are expressed in units of MeV.
This can be extracted as\n",
"```python\n",
"import numpy as np\n",
"Nn, Np, E = np.asarray(data).T[:3]\n",
"RMS charge radii are also included."
"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"## Executive Summary"
"cell_type": "markdown",
"metadata": {},
"source": [
"After executing the first part of this notebook, the following mass and charge radii data can be imported:"
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
"outputs": [],
"source": [
"import numpy as np"
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
"outputs": [],
"source": [
"import audi2003\n",
"Nn, Np, E = np.asarray(audi2003.data).T[:3]\n",
"import audi2012\n",
"Nn, Np, E = np.asarray(audi2012.data).T[:3]\n",
"import angeli2013\n",
"Nn, Np, R = np.asarray(angeli2013.data).T[:3]"
"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"## Downloading Data"
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we download the raw data files:\n",
"We start by loading the data, excluding all excited states and states that depend on trends in the mass surface (TMS). The primary data source is the largest data source of masses from [Audi:2012] and [Wang:2012].
The data file is from:\n",
"* http://amdc.in2p3.fr/nubase/nubtab12.asc\n",
"* http://amdc./evaluation/data2012/data/nubase.mas12\n",
"Optionally, one can use the previous [Audi:2003] data from:\n",
"* http://amdc.in2p3.fr/masstables/Ame2003/mass.mas03\n",
"Charge radius data comes from [Angeli:2013]. This data had to be extracted manually from the PDF file:\n",
"* ``charge_radii.xls``\n",
"[Audi:2012]: http://dx.doi.org/10.37/36/12/002 (G. Audi, M. Wang, A.H. Wapstra, F.G. Kondev, M. MacCormick, X. Xu, and B. Pfeiffer, \"The Ame2012 atomic mass evaluation\", Chinese Physics C 36(12), ))\n",
"[Wang:2012]: http://dx.doi.org/10.37/36/12/003 (M. Wang, G. Audi, A.H. Wapstra, F.G. Kondev, M. MacCormick, X. Xu, and B. Pfeiffer, \"The Ame2012 atomic mass evaluation\", Chinese Physics C 36(12), ))\n",
"[Angeli:2013]: http://dx.doi.org/10.1016/j.adt. (I. Angeli and K.P. Marinova, \"Table of experimental nuclear ground state charge radii: An update\", Atomic Data and Nuclear Data Tables 99(1), 69 - 95 (2013))"
"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"## Loading the Data"
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
"outputs": [],
"source": [
"%matplotlib inline\n",
"from matplotlib import pyplot as plt\n",
"def display_raw_data(mod):\n",
Nn, Np, E = np.asarray(mod.data).T[:3]\n",
fig = plt.figure(figsize=(10,5))\n",
plt.subplot(121)\n",
plt.errorbar(Np, E.real/(Nn+Np), E.imag/(Nn+Np), ls='', fmt='+')\n",
plt.xlabel('Z')\n",
plt.ylabel('Experimental Binding energy per nucleon $E/A$ (MeV)')\n",
plt.subplot(122)\n",
plt.errorbar(Nn+Np, E.real/(Nn+Np), E.imag/(Nn+Np), ls='', fmt='+')\n",
plt.xlabel('A')\n",
plt.suptitle(': '.join((mod.description, \"%i nuclei\" % (len(E),))))\n",
plt.close()\n",
return fig"
"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"### Audi 2003"
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
"outputs": [
"name": "stdout",
"output_type": "stream",
"Overwriting audi2003.py\n"
"source": [
"%%file audi2003.py\n",
"\"\"\"Audi 2003 data from \n",
"http://amdc.in2p3.fr/masstables/Ame2003/mass.mas03\n",
"Some sanity checks to exclude data with bad errors from\n",
"George Betsch's code.\n",
"\"\"\"\n",
"from __future__ import division\n",
"import os.path\n",
"import numpy as np\n",
"__all__ = ['data', 'description']\n",
"_DATA_DIR = os.path.join(os.path.dirname(__file__),'_data')\n",
"filename = 'mass.mas03'\n",
"description = 'Audi 2003 Mass Table'\n",
"data = []\n",
"skip_header = 39\n",
"with open(os.path.join(_DATA_DIR, filename)) as f:\n",
# The tables list the mass excess M in keV_90\n",
# The binding energy is Z*M_H + N*M_n - M\n",
M_H = \n",
M_n = \n",
for n, l in enumerate(f):\n",
if n <= skip_header:\n",
continue\n",
def read(n, _l=[l]):\n",
head = _l[0][:n]\n",
_l[0] = _l[0][n:]\n",
return head.strip()\n",
cc = read(1)\n",
NZ = int(read(3))\n",
N = int(read(5))\n",
Z = int(read(5))\n",
A = int(read(5))\n",
assert A == N + Z\n",
read(1)\n",
el = read(3)\n",
o = read(4)\n",
read(1)\n",
M = read(13)\n",
if M.endswith(\"#\"):\n",
#print(\"Skip: %s\" % (l,))\n",
continue\n",
M = float(M)\n",
M_err = float(read(11))\n",
E_A = float(read(11))\n",
E_err_A = float(read(9))\n",
assert np.allclose((M_H*Z + M_n*N - M)/A, E_A)\n",
read(1)\n",
B = read(2)\n",
beta = read(11)\n",
beta_err = read(9)\n",
read(1)\n",
int(read(3))\n",
read(1)\n",
amu = read(12)\n",
amu_err = read(11)\n",
E = (E_A + 1j*E_err_A) * A / 1000
# Express in MeV\n",
data.append((N, Z, E))\n",
#x = int(l[7:8])
# 0 for ground states...\n",
#err = l[8:9]\n",
#if x != 0 or err == 'W':\n",
#print(\"Skip: %s\" % (l,))\n",
continue\n",
#M, err = l[18:38].split()\n",
#if M.endswith('#'):\n",
#print(\"Skip: %s\" % (l,))\n",
continue\n",
# Convert to international MeV's\n",
#E = (M_H*Z + M_n*N - float(M) + float(err)*1j) / 1000. * (1+6.3e-8)\n",
#data.append((N, Z, E))\n"
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
"outputs": [
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"text/plain": [
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
"source": [
"import audi2003;reload(audi2003)\n",
"display_raw_data(audi2003)"
"cell_type": "markdown",
"metadata": {
"heading_collapsed": false
"source": [
"### Audi 2012"
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
"outputs": [
"name": "stdout",
"output_type": "stream",
"Overwriting audi2012.py\n"
"source": [
"%%file audi2012.py\n",
"\"\"\"Audi 2012 data from \n",
"http://amdc.in2p3.fr/nubase/nubtab12.asc\n",
"http://amdc./evaluation/data2012/data/nubase.mas12\n",
"Some sanity checks to exclude data with bad errors.\n",
"\"\"\"\n",
"from __future__ import division\n",
"import os.path\n",
"import numpy as np\n",
"__all__ = ['data', 'description']\n",
"_DATA_DIR = os.path.join(os.path.dirname(__file__),'_data')\n",
"filename = 'nubtab12.asc'\n",
"description = 'Audi 2012 Mass Table'\n",
"data = []\n",
"skip_header = 2\n",
"with open(os.path.join(_DATA_DIR, filename)) as f:\n",
# The tables list the mass excess M in keV_90\n",
# The binding energy is Z*M_H + N*M_n - M\n",
M_H = \n",
M_n = \n",
for n, l in enumerate(f):\n",
if n <= skip_header:\n",
continue\n",
A = int(l[0:3])\n",
Z = int(l[4:7])\n",
N = A - Z\n",
x = int(l[7:8])
# 0 for ground states...\n",
err = l[8:9]\n",
if x != 0 or err == 'W':\n",
#print(\"Skip: %s\" % (l,))\n",
continue\n",
M, err = l[18:38].split()\n",
if M.endswith('#'):\n",
#print(\"Skip: %s\" % (l,))\n",
continue\n",
# Convert to international MeV's\n",
E = (M_H*Z + M_n*N - float(M) + float(err)*1j) / 1000. * (1+6.3e-8)\n",
data.append((N, Z, E))"
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
"outputs": [
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