LMFDB - Newform data

Formats: - HTML - YAML - JSON - 2024-04-19T17:17:47.502860

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
conrey_indexes	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_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_prime	boolean
level_is_prime_power	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': 324, 'analytic_conductor': 1.8322208734455967, '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, 'conrey_indexes': [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': 301989889, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1.18.a.a', 'level': 1, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': True, 'level_primes': [], 'level_radical': 1, 'minimal_twist': '1.18.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-528q^{2}-4284q^{3}+147712q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '17.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1.18.a', 'trace_display': [-528, -4284, -1025850, 3225992], 'trace_hash': 534608318769591772, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.970', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.911', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.699', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, -528, -4284, 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Column	Type
an	jsonb
ap	jsonb
char_orbit_index	smallint
field_poly	numeric[]
hecke_orbit_code	bigint
hecke_ring_character_values	jsonb
hecke_ring_cyclotomic_generator	integer
hecke_ring_denominators	numeric[]
hecke_ring_inverse_denominators	numeric[]
hecke_ring_inverse_numerators	numeric[]
hecke_ring_numerators	numeric[]
hecke_ring_power_basis	boolean
hecke_ring_rank	integer
label	text
level	integer
maxp	integer
weight	smallint

mf_hecke_nf • Show schema

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[36247682041916308194776052], [-18815658765322070204315334], [-1812116692416003354115768], [20368467949393342030346892], [-25259045550982007772760878], [-1518395194029642475067304], [-6696496233346891897473568], [-34532574735545687248561498]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 301989889, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1.18.a.a', 'level': 1, 'maxp': 997, 'weight': 18}

Column	Type
AL_dims	jsonb
ALdims	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_prime	boolean
level_is_prime_power	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

{'AL_dims': [[[], 1, 1]], 'ALdims': [], 'Nk2': 324, 'analytic_conductor': 1.8322208734455967, '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': 301989889, 'hecke_orbit_dims': [1], 'label': '1.18.a', 'level': 1, 'level_is_prime': False, 'level_is_prime_power': 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': [-528, -4284, -1025850, 3225992], 'traces': [1, -528, -4284, 147712, -1025850, 2261952, 3225992, -8785920, -110787507, 541648800, -753618228, -632798208, 2541064526, -1703323776, 4394741400, -14721941504, -5429742318, 58495803696, 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Column	Type
conductor	integer
degree	integer
multiplicity	smallint
order	integer
parity	smallint
self_twist_disc	integer
source_char_orbit	smallint
source_dim	integer
source_hecke_orbit	integer
source_is_minimal	boolean
source_label	text
source_level	integer
target_char_orbit	smallint
target_dim	integer
target_hecke_orbit	integer
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_char_orbit	smallint
weight	smallint

mf_twists_nf • Show schema

id: 31
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1.18.a.a', 'target_level': 1, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 18}
id: 32
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '9.18.a.b', 'target_level': 9, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 18}
id: 33
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '16.18.a.b', 'target_level': 16, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 18}
id: 34
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.18.a.a', 'target_level': 25, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 18}
id: 35
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.18.b.a', 'target_level': 25, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 18}
id: 36
{'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '49.18.a.a', 'target_level': 49, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 18}
id: 37
{'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '64.18.a.b', 'target_level': 64, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 18}
id: 38
{'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '64.18.a.d', 'target_level': 64, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 18}
id: 39
{'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.18.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '121.18.a.b', 'target_level': 121, 'twist_class_label': '1.18.a.a', 'twist_class_level': 1, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 18}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 50
{'charpoly_factorization': [[[528, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 2}
id: 51
{'charpoly_factorization': [[[4284, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 3}
id: 52
{'charpoly_factorization': [[[1025850, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 5}
id: 53
{'charpoly_factorization': [[[-3225992, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 7}
id: 54
{'charpoly_factorization': [[[753618228, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 11}
id: 55
{'charpoly_factorization': [[[-2541064526, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 13}
id: 56
{'charpoly_factorization': [[[5429742318, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 17}
id: 57
{'charpoly_factorization': [[[-1487499860, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 19}
id: 58
{'charpoly_factorization': [[[317091823464, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 23}
id: 59
{'charpoly_factorization': [[[-2433410602590, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 29}
id: 60
{'charpoly_factorization': [[[8849722053088, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 31}
id: 61
{'charpoly_factorization': [[[-12691652946662, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 37}
id: 62
{'charpoly_factorization': [[[-48864151002282, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 41}
id: 63
{'charpoly_factorization': [[[91019974317844, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 43}
id: 64
{'charpoly_factorization': [[[49304994276048, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 47}
id: 65
{'charpoly_factorization': [[[-22940453195766, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 53}
id: 66
{'charpoly_factorization': [[[-32695090729980, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 59}
id: 67
{'charpoly_factorization': [[[1308285854869378, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 61}
id: 68
{'charpoly_factorization': [[[-5196143861984132, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 67}
id: 69
{'charpoly_factorization': [[[3709489877412408, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 71}
id: 70
{'charpoly_factorization': [[[-3402372968272586, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 73}
id: 71
{'charpoly_factorization': [[[-2366533941308240, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 79}
id: 72
{'charpoly_factorization': [[[29766750443172204, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 83}
id: 73
{'charpoly_factorization': [[[-29167184100574170, 1], 1]], 'hecke_orbit_code': 301989889, 'p': 89}
id: 74
{'charpoly_factorization': [[[63769879140957598, 1], 1]], 'hecke_orbit_code': 301989889, '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': '1.18.a.a', 'level': 1, 'portrait': 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', 'weight': 18}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 15243000
{'hecke_orbit_code': 301989889, 'n': 1, 'trace_an': 1}
id: 15243001
{'hecke_orbit_code': 301989889, 'n': 2, 'trace_an': -528}
id: 15243002
{'hecke_orbit_code': 301989889, 'n': 3, 'trace_an': -4284}
id: 15243003
{'hecke_orbit_code': 301989889, 'n': 4, 'trace_an': 147712}
id: 15243004
{'hecke_orbit_code': 301989889, 'n': 5, 'trace_an': -1025850}
id: 15243005
{'hecke_orbit_code': 301989889, 'n': 6, 'trace_an': 2261952}
id: 15243006
{'hecke_orbit_code': 301989889, 'n': 7, 'trace_an': 3225992}
id: 15243007
{'hecke_orbit_code': 301989889, 'n': 8, 'trace_an': -8785920}
id: 15243008
{'hecke_orbit_code': 301989889, 'n': 9, 'trace_an': -110787507}
id: 15243009
{'hecke_orbit_code': 301989889, 'n': 10, 'trace_an': 541648800}
id: 15243010
{'hecke_orbit_code': 301989889, 'n': 11, 'trace_an': -753618228}
id: 15243011
{'hecke_orbit_code': 301989889, 'n': 12, 'trace_an': -632798208}
id: 15243012
{'hecke_orbit_code': 301989889, 'n': 13, 'trace_an': 2541064526}
id: 15243013
{'hecke_orbit_code': 301989889, 'n': 14, 'trace_an': -1703323776}
id: 15243014
{'hecke_orbit_code': 301989889, 'n': 15, 'trace_an': 4394741400}
id: 15243015
{'hecke_orbit_code': 301989889, 'n': 16, 'trace_an': -14721941504}
id: 15243016
{'hecke_orbit_code': 301989889, 'n': 17, 'trace_an': -5429742318}
id: 15243017
{'hecke_orbit_code': 301989889, 'n': 18, 'trace_an': 58495803696}
id: 15243018
{'hecke_orbit_code': 301989889, 'n': 19, 'trace_an': 1487499860}
id: 15243019
{'hecke_orbit_code': 301989889, 'n': 20, 'trace_an': -151530355200}
id: 15243020
{'hecke_orbit_code': 301989889, 'n': 21, 'trace_an': -13820149728}
id: 15243021
{'hecke_orbit_code': 301989889, 'n': 22, 'trace_an': 397910424384}
id: 15243022
{'hecke_orbit_code': 301989889, 'n': 23, 'trace_an': -317091823464}
id: 15243023
{'hecke_orbit_code': 301989889, 'n': 24, 'trace_an': 37638881280}
id: 15243024
{'hecke_orbit_code': 301989889, 'n': 25, 'trace_an': 289428769375}
id: 15243025
{'hecke_orbit_code': 301989889, 'n': 26, 'trace_an': -1341682069728}
id: 15243026
{'hecke_orbit_code': 301989889, 'n': 27, 'trace_an': 1027850138280}
id: 15243027
{'hecke_orbit_code': 301989889, 'n': 28, 'trace_an': 476517730304}
id: 15243028
{'hecke_orbit_code': 301989889, 'n': 29, 'trace_an': 2433410602590}
id: 15243029
{'hecke_orbit_code': 301989889, 'n': 30, 'trace_an': -2320423459200}
id: 15243030
{'hecke_orbit_code': 301989889, 'n': 31, 'trace_an': -8849722053088}
id: 15243031
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{'hecke_orbit_code': 301989889, 'n': 955, 'trace_an': 28980320670446030561692800}
id: 15243955
{'hecke_orbit_code': 301989889, 'n': 956, 'trace_an': 27967334656631708196925440}
id: 15243956
{'hecke_orbit_code': 301989889, 'n': 957, 'trace_an': 7856267319796113837067680}
id: 15243957
{'hecke_orbit_code': 301989889, 'n': 958, 'trace_an': 22519877602684461790855680}
id: 15243958
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id: 15243959
{'hecke_orbit_code': 301989889, 'n': 960, 'trace_an': -12229009329589033579315200}
id: 15243960
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id: 15243961
{'hecke_orbit_code': 301989889, 'n': 962, 'trace_an': -17028163193746942148847936}
id: 15243962
{'hecke_orbit_code': 301989889, 'n': 963, 'trace_an': -21664436434936409491874244}
id: 15243963
{'hecke_orbit_code': 301989889, 'n': 964, 'trace_an': -20496814454858846509436416}
id: 15243964
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id: 15243965
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id: 15243966
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id: 15243967
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id: 15243968
{'hecke_orbit_code': 301989889, 'n': 969, 'trace_an': 34600758177796847356320}
id: 15243969
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id: 15243970
{'hecke_orbit_code': 301989889, 'n': 971, 'trace_an': 20368467949393342030346892}
id: 15243971
{'hecke_orbit_code': 301989889, 'n': 972, 'trace_an': -25873919656021366580302848}
id: 15243972
{'hecke_orbit_code': 301989889, 'n': 973, 'trace_an': 5119851233732729589689440}
id: 15243973
{'hecke_orbit_code': 301989889, 'n': 974, 'trace_an': 49005043114040779237448064}
id: 15243974
{'hecke_orbit_code': 301989889, 'n': 975, 'trace_an': -3150698553390782709315000}
id: 15243975
{'hecke_orbit_code': 301989889, 'n': 976, 'trace_an': 19260507825897616476864512}
id: 15243976
{'hecke_orbit_code': 301989889, 'n': 977, 'trace_an': -25259045550982007772760878}
id: 15243977
{'hecke_orbit_code': 301989889, 'n': 978, 'trace_an': 18119230306354265789175552}
id: 15243978
{'hecke_orbit_code': 301989889, 'n': 979, 'trace_an': -21980921597624479777970760}
id: 15243979
{'hecke_orbit_code': 301989889, 'n': 980, 'trace_an': 33673604313347765826393600}
id: 15243980
{'hecke_orbit_code': 301989889, 'n': 981, 'trace_an': -23681463930429658162186410}
id: 15243981
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id: 15243982
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id: 15243983
{'hecke_orbit_code': 301989889, 'n': 984, 'trace_an': 1839191978422885207080960}
id: 15243984
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id: 15243985
{'hecke_orbit_code': 301989889, 'n': 986, 'trace_an': 6976354453703080197111360}
id: 15243986
{'hecke_orbit_code': 301989889, 'n': 987, 'trace_an': 681402403233166324114944}
id: 15243987
{'hecke_orbit_code': 301989889, 'n': 988, 'trace_an': 558326710807560342968320}
id: 15243988
{'hecke_orbit_code': 301989889, 'n': 989, 'trace_an': 28861689628091603473091616}
id: 15243989
{'hecke_orbit_code': 301989889, 'n': 990, 'trace_an': 45223062503323548020284800}
id: 15243990
{'hecke_orbit_code': 301989889, 'n': 991, 'trace_an': -6696496233346891897473568}
id: 15243991
{'hecke_orbit_code': 301989889, 'n': 992, 'trace_an': -78981762386958302866046976}
id: 15243992
{'hecke_orbit_code': 301989889, 'n': 993, 'trace_an': -17156084913076264630323408}
id: 15243993
{'hecke_orbit_code': 301989889, 'n': 994, 'trace_an': 6318462305027879903812608}
id: 15243994
{'hecke_orbit_code': 301989889, 'n': 995, 'trace_an': 56601762615149431142190000}
id: 15243995
{'hecke_orbit_code': 301989889, 'n': 996, 'trace_an': 18836346338422576526610432}
id: 15243996
{'hecke_orbit_code': 301989889, 'n': 997, 'trace_an': -34532574735545687248561498}
id: 15243997
{'hecke_orbit_code': 301989889, 'n': 998, 'trace_an': 40486414538991145405560000}
id: 15243998
{'hecke_orbit_code': 301989889, 'n': 999, 'trace_an': 13045117236228306164421360}
id: 15243999
{'hecke_orbit_code': 301989889, 'n': 1000, 'trace_an': -4267768854175706880000000}

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 $\F_{q}$

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.