LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2025-07-08T11:35:20.655879

Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_largest	boolean
is_maximal	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 9126, 'analytic_conductor': 27.629498806134105, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 4, 'char_parity': -1, 'char_values': [1014, 4, [677, 847], [4, 3]], 'cm_discs': [], 'conrey_index': 577, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [144, -144, 72, -12, 1]], [7, [625, 250, 50, -10, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511142529827830, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 4, -1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1014.3.f.d', 'level': 1014, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '78.3.l.a', 'nf_label': '4.0.144.1', 'prim_orbit_index': 4, 'qexp_display': 'q+(\\beta_{2}-1)q^{2}+(\\beta_{3}-\\beta_{2}+\\beta_1)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '2.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1014.3.f', 'trace_display': [-4, 0, 12, 10], 'trace_hash': 973352868863940821, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.720', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '48.868', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1046.276', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.247', 'prec': 17}, 'traces': [4, -4, 0, 0, 12, 0, 10, 8, 12, 0, 36, 0, 0, -20, -12, -16, 0, -12, 52, -24, 30, -72, 0, 0, 0, 0, 0, 20, 0, 0, -106, 16, -12, -48, 0, 0, 20, 0, 0, 48, -24, -60, 0, 72, 36, -72, -132, 0, 0, -4, 0, 0, 72, 0, 240, 0, 72, 0, 180, 24, 144, 0, 30, 0, 0, 24, -38, 96, 0, 0, 228, 24, 190, -40, 0, -104, 0, 0, 96, -48, 36, 0, -264, 60, 96, 96, -120, 0, 336, 0, 0, 144, 30, 264, 0, 0, 194, -4, 108, 8, 0, -48, 0, 0, 120, -72, 216, 0, -314, -240, -216, -40, -264, 0, 312, 0, 0, -360, -240, -48, 0, -144, 168, 212, 168, -60, 0, -32, 0, 0, -312, -24, 620, 0, -36, -96, -336, 96, 116, 0, 180, 0, 0, -48, 120, -380, 0, 40, 144, -144, 428, 208, 0, -120, 0, 0, 388, -96, -552, 0, 60, -36, 686, 48, -288, 0, -624, 0, 0, -192, 156, -192, 0, 120, -370, -144, 12, -672, 0, -72, 0, 0, -300, -144, 552, 0, -384, 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'weight': 3, 'weight_parity': -1}

Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

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Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'Nk2': 9126, 'analytic_conductor': 27.629498806134105, 'char_conductor': 13, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 4, 'char_parity': -1, 'char_values': [1014, 4, [677, 847], [4, 3]], 'conrey_index': 577, 'cusp_dim': 672, 'dim': 100, 'eis_dim': 112, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 343647716342, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 8, 8, 8, 24, 24], 'label': '1014.3.f', 'level': 1014, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 784, 'mf_new_dim': 100, 'num_forms': 12, 'prim_orbit_index': 4, 'relative_dim': 50, 'sturm_bound': 546, 'trace_bound': 5, 'trace_display': [4, 0, -12, 0], 'traces': [100, 4, 0, 0, -12, 0, 0, -8, 300, 0, -24, 0, 0, 32, 24, -400, 0, 12, 0, 24, -24, 96, 0, 0, 0, 0, 0, 0, 112, 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1476, -5664, 0, -384, 0, 0, -12960, 96, -3168, 0, -1032, 0, -4944, 1472, -5280, 0, -96, 0, 0, -9200, -180, 6048, 0, -864, 660, 2592, -1800, 832, 0, 1524, 0, 0, -192, 384, -832, 0, -96, 984, -216, -1440, -19968, 0, 3600, 0, 0, -19160, -4080, -2136, 0, -816, -1824, -1056, -4776, 0, 0, 528, 0, 0, -4864, -288, 20368, 0, -1056, 216, 8640, 576, 1248, 0, 216, 0, 0, 1536, -1884, -2464, 0, 960, 3036, -1296, -7584, -8800, 0, 816, 0, 0, -1560, 1088, -10032, 0, -2484, -480, -1104, -288, 2592, 0, 1272, 0, 0, -3232, 3432, -2240, 0, 72, 5808, -240, 3120, -3360, 0, 192, 0, 0, 2160, -72, 16808, 0, -4560, 1144, -1392, -2568, -2240, 0, -6048, 0, 0, 736, -828, -1440, 0, 1560, -468, -3024, 6648, 1152, 0, -2112, 0, 0, -3120, 720, -2624, 0, 2040, -1584, 7776, -528, 12920, 0, -1152, 0], 'weight': 3, 'weight_parity': -1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 43257942
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 775, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142529827830, 'target_is_minimal': False, 'target_label': '1014.3.f.d.775.1', 'target_level': 1014, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
id: 43257943
{'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 577, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511142529827830, 'target_is_minimal': False, 'target_label': '1014.3.f.d.577.1', 'target_level': 1014, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 3}
id: 43257944
{'conductor': 13, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755964575822, 'target_is_minimal': True, 'target_label': '78.3.l.a.67.1', 'target_level': 78, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '13.7', 'twisting_conrey_index': 7, 'weight': 3}
id: 43257945
{'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 577, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742157198326, 'target_is_minimal': False, 'target_label': '1014.3.f.e.577.1', 'target_level': 1014, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 3}
id: 43257946
{'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 7, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755964575822, 'target_is_minimal': True, 'target_label': '78.3.l.a.7.1', 'target_level': 78, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '13.10', 'twisting_conrey_index': 10, 'weight': 3}
id: 43257947
{'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 775, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742157198326, 'target_is_minimal': False, 'target_label': '1014.3.f.e.775.1', 'target_level': 1014, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 3}
id: 43257948
{'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 145, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9009054730944746, 'target_is_minimal': False, 'target_label': '234.3.bb.c.145.1', 'target_level': 234, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '39.20', 'twisting_conrey_index': 20, 'weight': 3}
id: 43257949
{'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 775, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511142529827830, 'source_is_minimal': False, 'source_label': '1014.3.f.d.775.1', 'source_level': 1014, 'target_conrey_index': 163, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9009054730944746, 'target_is_minimal': False, 'target_label': '234.3.bb.c.163.1', 'target_level': 234, 'twist_class_label': '78.3.l.a.7.1', 'twist_class_level': 78, 'twisting_char_label': '39.23', 'twisting_conrey_index': 23, 'weight': 3}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 1600050
{'charpoly_factorization': [[[2, 2, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 2}
id: 1600051
{'charpoly_factorization': [[[-3, 0, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 3}
id: 1600052
{'charpoly_factorization': [[[144, -144, 72, -12, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 5}
id: 1600053
{'charpoly_factorization': [[[625, 250, 50, -10, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 7}
id: 1600054
{'charpoly_factorization': [[[24336, -5616, 648, -36, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 11}
id: 1600055
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13511142529827830, 'p': 13}
id: 1600056
{'charpoly_factorization': [[[9216, 0, 384, 0, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 17}
id: 1600057
{'charpoly_factorization': [[[14884, -6344, 1352, -52, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 19}
id: 1600058
{'charpoly_factorization': [[[17424, 0, 1032, 0, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 23}
id: 1600059
{'charpoly_factorization': [[[-300, 0, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 29}
id: 1600060
{'charpoly_factorization': [[[1868689, 144902, 5618, 106, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 31}
id: 1600061
{'charpoly_factorization': [[[3587236, 37880, 200, -20, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 37}
id: 1600062
{'charpoly_factorization': [[[1218816, -26496, 288, 24, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 41}
id: 1600063
{'charpoly_factorization': [[[251001, 0, 1302, 0, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 43}
id: 1600064
{'charpoly_factorization': [[[685584, 109296, 8712, 132, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 47}
id: 1600065
{'charpoly_factorization': [[[-6024, -36, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 53}
id: 1600066
{'charpoly_factorization': [[[16353936, -727920, 16200, -180, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 59}
id: 1600067
{'charpoly_factorization': [[[-579, -72, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 61}
id: 1600068
{'charpoly_factorization': [[[6723649, -98534, 722, 38, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 67}
id: 1600069
{'charpoly_factorization': [[[33315984, -1316016, 25992, -228, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 71}
id: 1600070
{'charpoly_factorization': [[[13830961, -706610, 18050, -190, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 73}
id: 1600071
{'charpoly_factorization': [[[429, -48, 1], 2]], 'hecke_orbit_code': 13511142529827830, 'p': 79}
id: 1600072
{'charpoly_factorization': [[[21678336, 1229184, 34848, 264, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 83}
id: 1600073
{'charpoly_factorization': [[[137170944, -3935232, 56448, -336, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 89}
id: 1600074
{'charpoly_factorization': [[[8162449, 554258, 18818, -194, 1], 1]], 'hecke_orbit_code': 13511142529827830, 'p': 97}

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 6, 'hecke_orbit': 4, 'label': '1014.3.f.d', 'level': 1014, 'portrait': 'data:image/png;base64,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', 'weight': 3}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 36669001
{'hecke_orbit_code': 13511142529827830, 'n': 1, 'trace_an': 4}
id: 36669002
{'hecke_orbit_code': 13511142529827830, 'n': 2, 'trace_an': -4}
id: 36669003
{'hecke_orbit_code': 13511142529827830, 'n': 3, 'trace_an': 0}
id: 36669004
{'hecke_orbit_code': 13511142529827830, 'n': 4, 'trace_an': 0}
id: 36669005
{'hecke_orbit_code': 13511142529827830, 'n': 5, 'trace_an': 12}
id: 36669006
{'hecke_orbit_code': 13511142529827830, 'n': 6, 'trace_an': 0}
id: 36669007
{'hecke_orbit_code': 13511142529827830, 'n': 7, 'trace_an': 10}
id: 36669008
{'hecke_orbit_code': 13511142529827830, 'n': 8, 'trace_an': 8}
id: 36669009
{'hecke_orbit_code': 13511142529827830, 'n': 9, 'trace_an': 12}
id: 36669010
{'hecke_orbit_code': 13511142529827830, 'n': 10, 'trace_an': 0}
id: 36669011
{'hecke_orbit_code': 13511142529827830, 'n': 11, 'trace_an': 36}
id: 36669012
{'hecke_orbit_code': 13511142529827830, 'n': 12, 'trace_an': 0}
id: 36669013
{'hecke_orbit_code': 13511142529827830, 'n': 13, 'trace_an': 0}
id: 36669014
{'hecke_orbit_code': 13511142529827830, 'n': 14, 'trace_an': -20}
id: 36669015
{'hecke_orbit_code': 13511142529827830, 'n': 15, 'trace_an': -12}
id: 36669016
{'hecke_orbit_code': 13511142529827830, 'n': 16, 'trace_an': -16}
id: 36669017
{'hecke_orbit_code': 13511142529827830, 'n': 17, 'trace_an': 0}
id: 36669018
{'hecke_orbit_code': 13511142529827830, 'n': 18, 'trace_an': -12}
id: 36669019
{'hecke_orbit_code': 13511142529827830, 'n': 19, 'trace_an': 52}
id: 36669020
{'hecke_orbit_code': 13511142529827830, 'n': 20, 'trace_an': -24}
id: 36669021
{'hecke_orbit_code': 13511142529827830, 'n': 21, 'trace_an': 30}
id: 36669022
{'hecke_orbit_code': 13511142529827830, 'n': 22, 'trace_an': -72}
id: 36669023
{'hecke_orbit_code': 13511142529827830, 'n': 23, 'trace_an': 0}
id: 36669024
{'hecke_orbit_code': 13511142529827830, 'n': 24, 'trace_an': 0}
id: 36669025
{'hecke_orbit_code': 13511142529827830, 'n': 25, 'trace_an': 0}
id: 36669026
{'hecke_orbit_code': 13511142529827830, 'n': 26, 'trace_an': 0}
id: 36669027
{'hecke_orbit_code': 13511142529827830, 'n': 27, 'trace_an': 0}
id: 36669028
{'hecke_orbit_code': 13511142529827830, 'n': 28, 'trace_an': 20}
id: 36669029
{'hecke_orbit_code': 13511142529827830, 'n': 29, 'trace_an': 0}
id: 36669030
{'hecke_orbit_code': 13511142529827830, 'n': 30, 'trace_an': 0}
id: 36669031
{'hecke_orbit_code': 13511142529827830, 'n': 31, 'trace_an': -106}
id: 36669032
{'hecke_orbit_code': 13511142529827830, 'n': 32, 'trace_an': 16}
id: 36669033
{'hecke_orbit_code': 13511142529827830, 'n': 33, 'trace_an': -12}
id: 36669034
{'hecke_orbit_code': 13511142529827830, 'n': 34, 'trace_an': -48}
id: 36669035
{'hecke_orbit_code': 13511142529827830, 'n': 35, 'trace_an': 0}
id: 36669036
{'hecke_orbit_code': 13511142529827830, 'n': 36, 'trace_an': 0}
id: 36669037
{'hecke_orbit_code': 13511142529827830, 'n': 37, 'trace_an': 20}
id: 36669038
{'hecke_orbit_code': 13511142529827830, 'n': 38, 'trace_an': 0}
id: 36669039
{'hecke_orbit_code': 13511142529827830, 'n': 39, 'trace_an': 0}
id: 36669040
{'hecke_orbit_code': 13511142529827830, 'n': 40, 'trace_an': 48}
id: 36669041
{'hecke_orbit_code': 13511142529827830, 'n': 41, 'trace_an': -24}
id: 36669042
{'hecke_orbit_code': 13511142529827830, 'n': 42, 'trace_an': -60}
id: 36669043
{'hecke_orbit_code': 13511142529827830, 'n': 43, 'trace_an': 0}
id: 36669044
{'hecke_orbit_code': 13511142529827830, 'n': 44, 'trace_an': 72}
id: 36669045
{'hecke_orbit_code': 13511142529827830, 'n': 45, 'trace_an': 36}
id: 36669046
{'hecke_orbit_code': 13511142529827830, 'n': 46, 'trace_an': -72}
id: 36669047
{'hecke_orbit_code': 13511142529827830, 'n': 47, 'trace_an': -132}
id: 36669048
{'hecke_orbit_code': 13511142529827830, 'n': 48, 'trace_an': 0}
id: 36669049
{'hecke_orbit_code': 13511142529827830, 'n': 49, 'trace_an': 0}
id: 36669050
{'hecke_orbit_code': 13511142529827830, 'n': 50, 'trace_an': -4}
id: 36669051
{'hecke_orbit_code': 13511142529827830, 'n': 51, 'trace_an': 0}
id: 36669052
{'hecke_orbit_code': 13511142529827830, 'n': 52, 'trace_an': 0}
id: 36669053
{'hecke_orbit_code': 13511142529827830, 'n': 53, 'trace_an': 72}
id: 36669054
{'hecke_orbit_code': 13511142529827830, 'n': 54, 'trace_an': 0}
id: 36669055
{'hecke_orbit_code': 13511142529827830, 'n': 55, 'trace_an': 240}
id: 36669056
{'hecke_orbit_code': 13511142529827830, 'n': 56, 'trace_an': 0}
id: 36669057
{'hecke_orbit_code': 13511142529827830, 'n': 57, 'trace_an': 72}
id: 36669058
{'hecke_orbit_code': 13511142529827830, 'n': 58, 'trace_an': 0}
id: 36669059
{'hecke_orbit_code': 13511142529827830, 'n': 59, 'trace_an': 180}
id: 36669060
{'hecke_orbit_code': 13511142529827830, 'n': 60, 'trace_an': 24}
id: 36669061
{'hecke_orbit_code': 13511142529827830, 'n': 61, 'trace_an': 144}
id: 36669062
{'hecke_orbit_code': 13511142529827830, 'n': 62, 'trace_an': 0}
id: 36669063
{'hecke_orbit_code': 13511142529827830, 'n': 63, 'trace_an': 30}
id: 36669064
{'hecke_orbit_code': 13511142529827830, 'n': 64, 'trace_an': 0}
id: 36669065
{'hecke_orbit_code': 13511142529827830, 'n': 65, 'trace_an': 0}
id: 36669066
{'hecke_orbit_code': 13511142529827830, 'n': 66, 'trace_an': 24}
id: 36669067
{'hecke_orbit_code': 13511142529827830, 'n': 67, 'trace_an': -38}
id: 36669068
{'hecke_orbit_code': 13511142529827830, 'n': 68, 'trace_an': 96}
id: 36669069
{'hecke_orbit_code': 13511142529827830, 'n': 69, 'trace_an': 0}
id: 36669070
{'hecke_orbit_code': 13511142529827830, 'n': 70, 'trace_an': 0}
id: 36669071
{'hecke_orbit_code': 13511142529827830, 'n': 71, 'trace_an': 228}
id: 36669072
{'hecke_orbit_code': 13511142529827830, 'n': 72, 'trace_an': 24}
id: 36669073
{'hecke_orbit_code': 13511142529827830, 'n': 73, 'trace_an': 190}
id: 36669074
{'hecke_orbit_code': 13511142529827830, 'n': 74, 'trace_an': -40}
id: 36669075
{'hecke_orbit_code': 13511142529827830, 'n': 75, 'trace_an': 0}
id: 36669076
{'hecke_orbit_code': 13511142529827830, 'n': 76, 'trace_an': -104}
id: 36669077
{'hecke_orbit_code': 13511142529827830, 'n': 77, 'trace_an': 0}
id: 36669078
{'hecke_orbit_code': 13511142529827830, 'n': 78, 'trace_an': 0}
id: 36669079
{'hecke_orbit_code': 13511142529827830, 'n': 79, 'trace_an': 96}
id: 36669080
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id: 36669081
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id: 36669088
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id: 36669173
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id: 36669200
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id: 36669201
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id: 36669202
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id: 36669203
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id: 36669204
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id: 36669205
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id: 36669206
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id: 36669207
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id: 36669208
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id: 36669209
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id: 36669210
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id: 36669212
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id: 36669213
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id: 36669215
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id: 36669216
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id: 36669219
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id: 36669220
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id: 36669221
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id: 36669222
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id: 36669223
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id: 36669224
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id: 36669242
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id: 36669248
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id: 36669249
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id: 36669250
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id: 36669251
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id: 36669252
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id: 36669253
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id: 36669254
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id: 36669255
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id: 36669256
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id: 36669257
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id: 36669258
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Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.