LMFDB - Embedded newform data

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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': 484, 'analytic_conductor': 2.794773442870621, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [], 'atkin_lehner_string': '', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1, 1, [], []], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 369098753, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1.22.a.a', 'level': 1, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': True, 'level_primes': [], 'level_radical': 1, 'minimal_twist': '1.22.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-288q^{2}-128844q^{3}-2014208q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1.22.a', 'trace_display': [-288, -128844, 21640950, -768078808], 'trace_hash': 1628194696170087258, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.984', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 14}], 'trace_zratio': 0, 'traces': [1, -288, -128844, -2014208, 21640950, 37107072, -768078808, 1184071680, 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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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'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 369098753, 'label': '1.22.a.a.1.1', 'level': 1, 'weight': 22}

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

{'ALdims': [], 'ALdims_eis_new': [], 'ALdims_eis_old': [], 'ALdims_old': [], 'Nk2': 484, 'analytic_conductor': 2.794773442870621, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1, 1, [], []], 'conrey_index': 1, 'cusp_dim': 1, 'dim': 1, 'eis_dim': 1, 'eis_new_dim': 1, 'hecke_cutter_primes': [], 'hecke_orbit_code': 369098753, 'hecke_orbit_dims': [1], 'label': '1.22.a', 'level': 1, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': True, 'level_primes': [], 'level_radical': 1, 'mf_dim': 2, 'mf_new_dim': 2, 'num_forms': 1, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 1, 'sturm_bound': 1, 'trace_bound': 0, 'trace_display': [-288, -128844, 21640950, -768078808], 'traces': [1, -288, -128844, -2014208, 21640950, 37107072, -768078808, 1184071680, 6140423133, 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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: 467309
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098753, 'target_is_minimal': True, 'target_label': '1.22.a.a.1.1', 'target_level': 1, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
id: 467310
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199623839753, 'target_is_minimal': False, 'target_label': '9.22.a.c.1.1', 'target_level': 9, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 22}
id: 467311
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199623839760, 'target_is_minimal': False, 'target_label': '16.22.a.c.1.1', 'target_level': 16, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 22}
id: 467312
{'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 24, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 69088575513, 'target_is_minimal': False, 'target_label': '25.22.b.a.24.1', 'target_level': 25, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 22}
id: 467313
{'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 24, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 69088575513, 'target_is_minimal': False, 'target_label': '25.22.b.a.24.2', 'target_level': 25, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 22}
id: 467314
{'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098777, 'target_is_minimal': False, 'target_label': '25.22.a.a.1.1', 'target_level': 25, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 22}
id: 467315
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098801, 'target_is_minimal': False, 'target_label': '49.22.a.a.1.1', 'target_level': 49, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 22}
id: 467316
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098816, 'target_is_minimal': False, 'target_label': '64.22.a.a.1.1', 'target_level': 64, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 22}
id: 467317
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098753, 'source_is_minimal': True, 'source_label': '1.22.a.a.1.1', 'source_level': 1, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021598133321792, 'target_is_minimal': False, 'target_label': '64.22.a.g.1.1', 'target_level': 64, 'twist_class_label': '1.22.a.a.1.1', 'twist_class_level': 1, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 22}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 100
{'charpoly_factorization': [[[288, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 2}
id: 101
{'charpoly_factorization': [[[128844, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 3}
id: 102
{'charpoly_factorization': [[[-21640950, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 5}
id: 103
{'charpoly_factorization': [[[768078808, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 7}
id: 104
{'charpoly_factorization': [[[94724929188, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 11}
id: 105
{'charpoly_factorization': [[[80621789794, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 13}
id: 106
{'charpoly_factorization': [[[-3052282930002, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 17}
id: 107
{'charpoly_factorization': [[[7920788351740, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 19}
id: 108
{'charpoly_factorization': [[[73845437470344, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 23}
id: 109
{'charpoly_factorization': [[[4253031736469010, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 29}
id: 110
{'charpoly_factorization': [[[-1900541176310432, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 31}
id: 111
{'charpoly_factorization': [[[-22191429912035222, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 37}
id: 112
{'charpoly_factorization': [[[20622803144546358, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 41}
id: 113
{'charpoly_factorization': [[[193605854685795844, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 43}
id: 114
{'charpoly_factorization': [[[-146960504315611632, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 47}
id: 115
{'charpoly_factorization': [[[-2038267110310687206, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 53}
id: 116
{'charpoly_factorization': [[[5975882742742352820, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 59}
id: 117
{'charpoly_factorization': [[[-6190617154478149262, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 61}
id: 118
{'charpoly_factorization': [[[-16961315295446680052, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 67}
id: 119
{'charpoly_factorization': [[[5632758963952293528, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 71}
id: 120
{'charpoly_factorization': [[[43284759511102937494, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 73}
id: 121
{'charpoly_factorization': [[[51264938664949064560, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 79}
id: 122
{'charpoly_factorization': [[[-48911854702961049156, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 83}
id: 123
{'charpoly_factorization': [[[504303489899844009030, 1], 1]], 'hecke_orbit_code': 369098753, 'p': 89}
id: 124
{'charpoly_factorization': [[[-808275058155029184482, 1], 1]], 'hecke_orbit_code': 369098753, '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': 1, 'hecke_orbit': 1, 'label': '1.22.a.a', 'level': 1, 'portrait': 'data:image/png;base64,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', 'weight': 22}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 3990228
{'hecke_orbit_code': 369098753, 'n': 1, 'trace_an': 1}
id: 3990229
{'hecke_orbit_code': 369098753, 'n': 2, 'trace_an': -288}
id: 3990230
{'hecke_orbit_code': 369098753, 'n': 3, 'trace_an': -128844}
id: 3990231
{'hecke_orbit_code': 369098753, 'n': 4, 'trace_an': -2014208}
id: 3990232
{'hecke_orbit_code': 369098753, 'n': 5, 'trace_an': 21640950}
id: 3990233
{'hecke_orbit_code': 369098753, 'n': 6, 'trace_an': 37107072}
id: 3990234
{'hecke_orbit_code': 369098753, 'n': 7, 'trace_an': -768078808}
id: 3990235
{'hecke_orbit_code': 369098753, 'n': 8, 'trace_an': 1184071680}
id: 3990236
{'hecke_orbit_code': 369098753, 'n': 9, 'trace_an': 6140423133}
id: 3990237
{'hecke_orbit_code': 369098753, 'n': 10, 'trace_an': -6232593600}
id: 3990238
{'hecke_orbit_code': 369098753, 'n': 11, 'trace_an': -94724929188}
id: 3990239
{'hecke_orbit_code': 369098753, 'n': 12, 'trace_an': 259518615552}
id: 3990240
{'hecke_orbit_code': 369098753, 'n': 13, 'trace_an': -80621789794}
id: 3990241
{'hecke_orbit_code': 369098753, 'n': 14, 'trace_an': 221206696704}
id: 3990242
{'hecke_orbit_code': 369098753, 'n': 15, 'trace_an': -2788306561800}
id: 3990243
{'hecke_orbit_code': 369098753, 'n': 16, 'trace_an': 3883087691776}
id: 3990244
{'hecke_orbit_code': 369098753, 'n': 17, 'trace_an': 3052282930002}
id: 3990245
{'hecke_orbit_code': 369098753, 'n': 18, 'trace_an': -1768441862304}
id: 3990246
{'hecke_orbit_code': 369098753, 'n': 19, 'trace_an': -7920788351740}
id: 3990247
{'hecke_orbit_code': 369098753, 'n': 20, 'trace_an': -43589374617600}
id: 3990248
{'hecke_orbit_code': 369098753, 'n': 21, 'trace_an': 98962345937952}
id: 3990249
{'hecke_orbit_code': 369098753, 'n': 22, 'trace_an': 27280779606144}
id: 3990250
{'hecke_orbit_code': 369098753, 'n': 23, 'trace_an': -73845437470344}
id: 3990251
{'hecke_orbit_code': 369098753, 'n': 24, 'trace_an': -152560531537920}
id: 3990252
{'hecke_orbit_code': 369098753, 'n': 25, 'trace_an': -8506441300625}
id: 3990253
{'hecke_orbit_code': 369098753, 'n': 26, 'trace_an': 23219075460672}
id: 3990254
{'hecke_orbit_code': 369098753, 'n': 27, 'trace_an': 556597069939080}
id: 3990255
{'hecke_orbit_code': 369098753, 'n': 28, 'trace_an': 1547070479704064}
id: 3990256
{'hecke_orbit_code': 369098753, 'n': 29, 'trace_an': -4253031736469010}
id: 3990257
{'hecke_orbit_code': 369098753, 'n': 30, 'trace_an': 803032289798400}
id: 3990258
{'hecke_orbit_code': 369098753, 'n': 31, 'trace_an': 1900541176310432}
id: 3990259
{'hecke_orbit_code': 369098753, 'n': 32, 'trace_an': -3601507547086848}
id: 3990260
{'hecke_orbit_code': 369098753, 'n': 33, 'trace_an': 12204738776298672}
id: 3990261
{'hecke_orbit_code': 369098753, 'n': 34, 'trace_an': -879057483840576}
id: 3990262
{'hecke_orbit_code': 369098753, 'n': 35, 'trace_an': -16621955079987600}
id: 3990263
{'hecke_orbit_code': 369098753, 'n': 36, 'trace_an': -12368089397873664}
id: 3990264
{'hecke_orbit_code': 369098753, 'n': 37, 'trace_an': 22191429912035222}
id: 3990265
{'hecke_orbit_code': 369098753, 'n': 38, 'trace_an': 2281187045301120}
id: 3990266
{'hecke_orbit_code': 369098753, 'n': 39, 'trace_an': 10387633884218136}
id: 3990267
{'hecke_orbit_code': 369098753, 'n': 40, 'trace_an': 25624436023296000}
id: 3990268
{'hecke_orbit_code': 369098753, 'n': 41, 'trace_an': -20622803144546358}
id: 3990269
{'hecke_orbit_code': 369098753, 'n': 42, 'trace_an': -28501155630130176}
id: 3990270
{'hecke_orbit_code': 369098753, 'n': 43, 'trace_an': -193605854685795844}
id: 3990271
{'hecke_orbit_code': 369098753, 'n': 44, 'trace_an': 190795710169903104}
id: 3990272
{'hecke_orbit_code': 369098753, 'n': 45, 'trace_an': 132884590000096350}
id: 3990273
{'hecke_orbit_code': 369098753, 'n': 46, 'trace_an': 21267485991459072}
id: 3990274
{'hecke_orbit_code': 369098753, 'n': 47, 'trace_an': 146960504315611632}
id: 3990275
{'hecke_orbit_code': 369098753, 'n': 48, 'trace_an': -500312550559186944}
id: 3990276
{'hecke_orbit_code': 369098753, 'n': 49, 'trace_an': 31399191215416857}
id: 3990277
{'hecke_orbit_code': 369098753, 'n': 50, 'trace_an': 2449855094580000}
id: 3990278
{'hecke_orbit_code': 369098753, 'n': 51, 'trace_an': -393268341833177688}
id: 3990279
{'hecke_orbit_code': 369098753, 'n': 52, 'trace_an': 162389053977393152}
id: 3990280
{'hecke_orbit_code': 369098753, 'n': 53, 'trace_an': 2038267110310687206}
id: 3990281
{'hecke_orbit_code': 369098753, 'n': 54, 'trace_an': -160299956142455040}
id: 3990282
{'hecke_orbit_code': 369098753, 'n': 55, 'trace_an': -2049937456311048600}
id: 3990283
{'hecke_orbit_code': 369098753, 'n': 56, 'trace_an': -909460364560957440}
id: 3990284
{'hecke_orbit_code': 369098753, 'n': 57, 'trace_an': 1020546054391588560}
id: 3990285
{'hecke_orbit_code': 369098753, 'n': 58, 'trace_an': 1224873140103074880}
id: 3990286
{'hecke_orbit_code': 369098753, 'n': 59, 'trace_an': -5975882742742352820}
id: 3990287
{'hecke_orbit_code': 369098753, 'n': 60, 'trace_an': 5616229383230054400}
id: 3990288
{'hecke_orbit_code': 369098753, 'n': 61, 'trace_an': 6190617154478149262}
id: 3990289
{'hecke_orbit_code': 369098753, 'n': 62, 'trace_an': -547355858777404416}
id: 3990290
{'hecke_orbit_code': 369098753, 'n': 63, 'trace_an': -4716328880610265464}
id: 3990291
{'hecke_orbit_code': 369098753, 'n': 64, 'trace_an': -7106190945422409728}
id: 3990292
{'hecke_orbit_code': 369098753, 'n': 65, 'trace_an': -1744732121842464300}
id: 3990293
{'hecke_orbit_code': 369098753, 'n': 66, 'trace_an': -3514964767574017536}
id: 3990294
{'hecke_orbit_code': 369098753, 'n': 67, 'trace_an': 16961315295446680052}
id: 3990295
{'hecke_orbit_code': 369098753, 'n': 68, 'trace_an': -6147932695873468416}
id: 3990296
{'hecke_orbit_code': 369098753, 'n': 69, 'trace_an': 9514541545429002336}
id: 3990297
{'hecke_orbit_code': 369098753, 'n': 70, 'trace_an': 4787123063036428800}
id: 3990298
{'hecke_orbit_code': 369098753, 'n': 71, 'trace_an': -5632758963952293528}
id: 3990299
{'hecke_orbit_code': 369098753, 'n': 72, 'trace_an': 7270701135002173440}
id: 3990300
{'hecke_orbit_code': 369098753, 'n': 73, 'trace_an': -43284759511102937494}
id: 3990301
{'hecke_orbit_code': 369098753, 'n': 74, 'trace_an': -6391131814666143936}
id: 3990302
{'hecke_orbit_code': 369098753, 'n': 75, 'trace_an': 1096003922937727500}
id: 3990303
{'hecke_orbit_code': 369098753, 'n': 76, 'trace_an': 15954115264381521920}
id: 3990304
{'hecke_orbit_code': 369098753, 'n': 77, 'trace_an': 72756210698603447904}
id: 3990305
{'hecke_orbit_code': 369098753, 'n': 78, 'trace_an': -2991638558654823168}
id: 3990306
{'hecke_orbit_code': 369098753, 'n': 79, 'trace_an': -51264938664949064560}
id: 3990307
{'hecke_orbit_code': 369098753, 'n': 80, 'trace_an': 84033706583339827200}
id: 3990308
{'hecke_orbit_code': 369098753, 'n': 81, 'trace_an': -135945187666282668519}
id: 3990309
{'hecke_orbit_code': 369098753, 'n': 82, 'trace_an': 5939367305629351104}
id: 3990310
{'hecke_orbit_code': 369098753, 'n': 83, 'trace_an': 48911854702961049156}
id: 3990311
{'hecke_orbit_code': 369098753, 'n': 84, 'trace_an': -199330748886990422016}
id: 3990312
{'hecke_orbit_code': 369098753, 'n': 85, 'trace_an': 66054302274026781900}
id: 3990313
{'hecke_orbit_code': 369098753, 'n': 86, 'trace_an': 55758486149509203072}
id: 3990314
{'hecke_orbit_code': 369098753, 'n': 87, 'trace_an': 547977621053613124440}
id: 3990315
{'hecke_orbit_code': 369098753, 'n': 88, 'trace_an': -112161106041516195840}
id: 3990316
{'hecke_orbit_code': 369098753, 'n': 89, 'trace_an': -504303489899844009030}
id: 3990317
{'hecke_orbit_code': 369098753, 'n': 90, 'trace_an': -38270761920027748800}
id: 3990318
{'hecke_orbit_code': 369098753, 'n': 91, 'trace_an': 61923888203802085552}
id: 3990319
{'hecke_orbit_code': 369098753, 'n': 92, 'trace_an': 148740070916266647552}
id: 3990320
{'hecke_orbit_code': 369098753, 'n': 93, 'trace_an': -244873327320541300608}
id: 3990321
{'hecke_orbit_code': 369098753, 'n': 94, 'trace_an': -42324625242896150016}
id: 3990322
{'hecke_orbit_code': 369098753, 'n': 95, 'trace_an': -171413384680587753000}
id: 3990323
{'hecke_orbit_code': 369098753, 'n': 96, 'trace_an': 464032638396857843712}
id: 3990324
{'hecke_orbit_code': 369098753, 'n': 97, 'trace_an': 808275058155029184482}
id: 3990325
{'hecke_orbit_code': 369098753, 'n': 98, 'trace_an': -9042967070040054816}
id: 3990326
{'hecke_orbit_code': 369098753, 'n': 99, 'trace_an': -581651146457782106004}
id: 3990327
{'hecke_orbit_code': 369098753, 'n': 100, 'trace_an': 17133742119249280000}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
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.