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import pynucastro as pyna | ||
from pynucastro.rates import ReacLibRate, TabularRate | ||
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DO_DERIVED_RATES = True | ||
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reaclib_lib = pyna.ReacLibLibrary() | ||
weak_lib = pyna.TabularLibrary() | ||
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# these are the nuclei we have in subch_simple | ||
all_reactants = ["p", | ||
"he4", "c12", "o16", "ne20", "mg24", "si28", "s32", | ||
"ar36", "ca40", "ti44", "cr48", "fe52", "ni56", | ||
"al27", "p31", "cl35", "k39", "sc43", "v47", "mn51", "co55", | ||
"n13", "n14", "f18", "ne21", "na22", "na23"] | ||
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# create a library of ReacLib rates | ||
core_lib = reaclib_lib.linking_nuclei(all_reactants) | ||
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# in this list, we have the reactants, the actual reactants, | ||
# and modified products that we will use instead | ||
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other_rates = [("c12(c12,n)mg23", "mg24"), | ||
("o16(o16,n)s31", "s32"), | ||
("o16(c12,n)si27", "si28")] | ||
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for r, mp in other_rates: | ||
_r = reaclib_lib.get_rate_by_name(r) | ||
_r.modify_products(mp) | ||
core_lib.add_rate(_r) | ||
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# finally, the aprox nets don't include the reverse rates for | ||
# C12+C12, C12+O16, and O16+O16, so remove those | ||
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for r in core_lib.get_rates(): | ||
if sorted(r.products) in [[pyna.Nucleus("c12"), pyna.Nucleus("c12")], | ||
[pyna.Nucleus("c12"), pyna.Nucleus("o16")], | ||
[pyna.Nucleus("o16"), pyna.Nucleus("o16")]]: | ||
core_lib.remove_rate(r) | ||
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# C12+Ne20 and reverse | ||
# (a,g) links between Na23 and Al27 | ||
# (a,g) links between Al27 and P31 | ||
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rates_to_remove = ["p31(p,c12)ne20", | ||
"si28(a,c12)ne20", | ||
"ne20(c12,p)p31", | ||
"ne20(c12,a)si28", | ||
"na23(a,g)al27", | ||
"al27(g,a)na23", | ||
"al27(a,g)p31", | ||
"p31(g,a)al27"] | ||
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for r in rates_to_remove: | ||
print("removing: ", r) | ||
_r = core_lib.get_rate_by_name(r) | ||
core_lib.remove_rate(_r) | ||
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# now create a list of iron group nuclei and find both the | ||
# ReacLib and weak / tabular rates linking these. | ||
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iron_peak = ["n", "p", "he4", | ||
"mn51", | ||
"fe52", "fe53", "fe54", "fe55", "fe56", | ||
"co55", "co56", "co57", | ||
"ni56", "ni57", "ni58"] | ||
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iron_reaclib = reaclib_lib.linking_nuclei(iron_peak) | ||
iron_weak_lib = weak_lib.linking_nuclei(iron_peak) | ||
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# add the libraries | ||
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all_lib = core_lib + iron_reaclib + iron_weak_lib | ||
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if DO_DERIVED_RATES: | ||
rates_to_derive = [] | ||
for r in all_lib.get_rates(): | ||
if r.reverse: | ||
# this rate was computed using detailed balance, regardless | ||
# of whether Q < 0 or not. We want to remove it and then | ||
# recompute it | ||
rates_to_derive.append(r) | ||
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# now for each of those derived rates, look to see if the pair exists | ||
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for r in rates_to_derive: | ||
fr = all_lib.get_rate_by_nuclei(r.products, r.reactants) | ||
if fr: | ||
print(f"modifying {r} from {fr}") | ||
all_lib.remove_rate(r) | ||
d = pyna.DerivedRate(rate=fr, compute_Q=False, use_pf=True) | ||
all_lib.add_rate(d) | ||
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# we will have duplicate rates -- we want to remove any ReacLib rates | ||
# that we have tabular rates for | ||
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dupes = all_lib.find_duplicate_links() | ||
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rates_to_remove = [] | ||
for d in dupes: | ||
for r in d: | ||
if isinstance(r, ReacLibRate): | ||
rates_to_remove.append(r) | ||
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for r in rates_to_remove: | ||
all_lib.remove_rate(r) | ||
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# combine all three libraries into a single network | ||
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net = pyna.AmrexAstroCxxNetwork(libraries=[all_lib], | ||
symmetric_screening=False) | ||
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# now we approximate some (alpha, p)(p, gamma) links | ||
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net.make_ap_pg_approx(intermediate_nuclei=["cl35", "k39", "sc43", "v47"]) | ||
net.remove_nuclei(["cl35", "k39", "sc43", "v47"]) | ||
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net.make_nn_g_approx(intermediate_nuclei=["fe53", "fe55", "ni57"]) | ||
net.remove_nuclei(["fe53", "fe55", "ni57"]) | ||
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fig = net.plot(rotated=True, curved_edges=True, size=(1500, 800), hide_xalpha=True, node_size=400, node_font_size=9) | ||
fig.savefig("newnet.png") |