LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2024-05-03T14:59:02.188930

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': 9240, 'analytic_conductor': 18.44544286691577, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -1], [7, 1], [11, 1]], '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': [2310, 1, [1541, 1387, 661, 211], [1, 1, 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': [[13, [-2, 1]], [17, [2, 1]], [19, [8, 1]], [23, [8, 1]], [29, [6, 1]], [31, [0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307261702, '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': '2310.2.a.k', 'level': 2310, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 5, 7, 11], 'level_radical': 2310, 'minimal_twist': '2310.2.a.k', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{3}+q^{4}+q^{5}-q^{6}-q^{7}+\\cdots', 'related_objects': ['EllipticCurve/Q/2310/k'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2310.2.a', 'trace_display': [-1, 1, 1, -1], 'trace_hash': 1678203699786785990, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.999', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.038', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.230', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, 'traces': [1, -1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 2, 1, 1, 1, -2, -1, -8, 1, -1, 1, -8, -1, 1, -2, 1, -1, -6, -1, 0, -1, -1, 2, -1, 1, -6, 8, 2, -1, -2, 1, 4, -1, 1, 8, 12, 1, 1, -1, -2, 2, -14, -1, -1, 1, -8, 6, 4, 1, -10, 0, -1, 1, 2, 1, 8, -2, -8, 1, 0, -1, -10, 6, 1, -8, 1, -2, 4, 1, 1, 2, -4, -1, -2, -4, -6, 1, -14, -1, -2, -8, 0, -12, -8, -1, 14, -1, -1, 1, -10, 2, 12, -2, -1, 14, 12, 1, 2, 1, -6, -1, -6, 8, -8, -6, 2, -4, 2, -1, 1, 10, -2, 0, 1, 1, 8, -1, 4, -2, -8, -1, 8, -8, 1, 2, 2, 8, 16, -1, 12, 0, -2, 1, -6, 10, 1, -6, -6, -1, -12, 8, -2, -1, 0, 2, 6, -4, -14, -1, 8, -1, -8, -2, -1, 4, 0, 1, -9, 2, -8, 4, -22, 6, -1, -1, 4, 14, -20, 1, 22, 2, -10, 8, -6, 0, 2, 12, -1, 8, 24, 1, 22, -14, 2, 1, -6, 1, 16, -1, 8, 10, 6, -2, -2, -12, -8, 2, 8, 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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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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': [[[[2, 1], [3, 1], [5, 1], [7, -1], [11, 1]], 2, 1], [[[2, -1], [3, -1], [5, -1], [7, -1], [11, -1]], 3, 1], [[[2, -1], [3, 1], [5, 1], [7, 1], [11, 1]], 1, 1], [[[2, -1], [3, 1], [5, 1], [7, 1], [11, -1]], 2, 1], [[[2, 1], [3, -1], [5, 1], [7, 1], [11, -1]], 1, 1], [[[2, 1], [3, -1], [5, -1], [7, -1], [11, 1]], 1, 1], [[[2, 1], [3, -1], [5, 1], [7, 1], [11, 1]], 1, 1], [[[2, 1], [3, 1], [5, -1], [7, -1], [11, 1]], 1, 1], [[[2, 1], [3, 1], [5, -1], [7, 1], [11, 1]], 2, 1], [[[2, 1], [3, -1], [5, -1], [7, 1], [11, 1]], 2, 2], [[[2, 1], [3, 1], [5, 1], [7, -1], [11, -1]], 1, 1], [[[2, 1], [3, -1], [5, 1], [7, -1], [11, 1]], 2, 2], [[[2, -1], [3, 1], [5, -1], [7, -1], [11, 1]], 2, 2], [[[2, -1], [3, -1], [5, 1], [7, 1], [11, 1]], 1, 1], [[[2, 1], [3, -1], [5, -1], [7, 1], [11, -1]], 2, 1], [[[2, 1], [3, 1], [5, -1], [7, -1], [11, -1]], 2, 1], [[[2, -1], [3, 1], [5, -1], [7, 1], [11, 1]], 1, 1], [[[2, -1], [3, -1], [5, 1], [7, 1], [11, -1]], 2, 2], [[[2, -1], [3, -1], [5, 1], [7, -1], [11, 1]], 2, 2], [[[2, -1], [3, -1], [5, -1], [7, 1], [11, 1]], 1, 1], [[[2, 1], [3, 1], [5, 1], [7, 1], [11, -1]], 1, 1], [[[2, 1], [3, 1], [5, 1], [7, 1], [11, 1]], 1, 1], [[[2, 1], [3, -1], [5, 1], [7, -1], [11, -1]], 1, 1], [[[2, -1], [3, 1], [5, 1], [7, -1], [11, -1]], 2, 1], [[[2, -1], [3, 1], [5, -1], [7, 1], [11, -1]], 2, 1]], 'ALdims': [1, 1, 2, 1, 2, 0, 1, 2, 1, 1, 2, 1, 2, 2, 1, 0, 1, 2, 0, 2, 1, 2, 2, 0, 1, 2, 2, 0, 1, 0, 0, 3], 'Nk2': 9240, 'analytic_conductor': 18.44544286691577, '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': [2310, 1, [1541, 1387, 661, 211], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 561, 'dim': 39, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [13, 17, 19, 23, 29, 31], 'hecke_orbit_code': 33556742, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3], 'label': '2310.2.a', 'level': 2310, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 5, 7, 11], 'level_radical': 2310, 'mf_dim': 592, 'mf_new_dim': 39, 'num_forms': 30, 'plus_dim': 12, 'prim_orbit_index': 1, 'relative_dim': 39, 'sturm_bound': 1152, 'trace_bound': 13, 'trace_display': [-1, -1, -1, -1], 'traces': [39, -1, -1, 39, -1, -1, -1, -1, 39, -1, -1, -1, -14, -1, -1, 39, 14, -1, 12, -1, -1, 7, 24, -1, 39, 2, -1, -1, 2, -1, -16, -1, -1, -18, -1, 39, 10, 28, -14, -1, 22, 7, 4, -1, -1, 24, 32, -1, 39, -1, -2, -14, 10, -1, -1, -1, -20, 18, 36, -1, 2, 32, -1, 39, 18, -1, 28, 14, 8, 7, 56, -1, 22, 10, -1, 12, -1, 18, 32, -1, 39, -10, 12, -1, -18, 20, 34, 7, -10, -1, 2, 24, -16, 48, -4, -1, 14, -1, -1, 39, -38, 30, 8, 2, -1, 10, -12, -1, -14, -1, -6, -1, -34, 12, 8, 2, -14, 36, 30, -1, 39, -14, 6, -16, -1, -1, 0, -1, -12, 2, -4, -1, -4, 12, -1, -18, -26, 8, -12, -1, -16, 40, 2, 39, 2, -42, -1, 10, 42, -1, 24, 28, 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48, 142, -42, -68, 320, 2, 8, 8, -124, 70, -276, -12, -300, -12, -42, -40, 16, 48, -336, 72, -224, 42, -144, -1, -610, 382, 18, 20, 10, 142, 112, 2, 37, 106, -136, -16, -90, 104, -48, -36, -18, 2, -22, 178, -280, 356, -12, -62, 38, -18, -66, -20, 194, 0, -296, 22, -1, 44, -80, 22, -48, -104, -174, 0, -218, -120, 0, -84, -134, 88, -132, 7, 208, 278, -114, 26, 151, -1, 264, -76, 124, 10, -50, 132, -124, 400, 4, 12, 382, 260, -196, 12, 8, 7, 296, 10, 52, 32, -96, 80, -348, 38, 176, -104, -1, 48, -12, 0, -150, -144, -256, -4, -48, 26, 244, 50, 12, 0, -16, 7, -18, -142, -48, -242, -134, -194, -1, 62, -96, -192, 244, -1, 228, 62, 212, 65, -62, -42, 44, -70, 36, -16, -408, 14, -10, -160, -54, -18, -24, 8, -384, -2, 132, 78, -134, 12, -14, -96, -38, -16, 102, -14, 212, -12, 112, -168, 156, 12, -112, 1, 60, -58, 42, 118, 8, -1, -14, -30, -168, -150, -254, -1, 28, 4, -498, -18, 168, -84, 136, -70, 512, -24, -12, -22, -116, -36, 64, 146, 432, -78, 144, 106, -168, -1, 256, -136, -6, -28, 182, 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80, -134, 14, 188, -116, -104, -12, 10, 196, 40, -1], 'weight': 2, '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: 47051089
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307261702, 'source_is_minimal': True, 'source_label': '2310.2.a.k.1.1', 'source_level': 2310, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307261702, 'target_is_minimal': True, 'target_label': '2310.2.a.k.1.1', 'target_level': 2310, 'twist_class_label': '2310.2.a.k.1.1', 'twist_class_level': 2310, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 47051090
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 45035996307261702, 'source_is_minimal': True, 'source_label': '2310.2.a.k.1.1', 'source_level': 2310, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835712274, 'target_is_minimal': False, 'target_label': '6930.2.a.w.1.1', 'target_level': 6930, 'twist_class_label': '2310.2.a.k.1.1', 'twist_class_level': 2310, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 2565125
{'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 2}
id: 2565126
{'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 3}
id: 2565127
{'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 5}
id: 2565128
{'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 7}
id: 2565129
{'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 11}
id: 2565130
{'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 13}
id: 2565131
{'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 17}
id: 2565132
{'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 19}
id: 2565133
{'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 23}
id: 2565134
{'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 29}
id: 2565135
{'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 31}
id: 2565136
{'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 37}
id: 2565137
{'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 41}
id: 2565138
{'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 43}
id: 2565139
{'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 47}
id: 2565140
{'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 53}
id: 2565141
{'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 59}
id: 2565142
{'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 61}
id: 2565143
{'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 67}
id: 2565144
{'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 71}
id: 2565145
{'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 73}
id: 2565146
{'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 79}
id: 2565147
{'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 83}
id: 2565148
{'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 45035996307261702, 'p': 89}
id: 2565149
{'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 45035996307261702, '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': 11, 'label': '2310.2.a.k', 'level': 2310, 'portrait': 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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 210273000
{'hecke_orbit_code': 45035996307261702, 'n': 1, 'trace_an': 1}
id: 210273001
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{'hecke_orbit_code': 45035996307261702, 'n': 847, 'trace_an': -1}
id: 210273847
{'hecke_orbit_code': 45035996307261702, 'n': 848, 'trace_an': -14}
id: 210273848
{'hecke_orbit_code': 45035996307261702, 'n': 849, 'trace_an': -4}
id: 210273849
{'hecke_orbit_code': 45035996307261702, 'n': 850, 'trace_an': 2}
id: 210273850
{'hecke_orbit_code': 45035996307261702, 'n': 851, 'trace_an': 48}
id: 210273851
{'hecke_orbit_code': 45035996307261702, 'n': 852, 'trace_an': 0}
id: 210273852
{'hecke_orbit_code': 45035996307261702, 'n': 853, 'trace_an': 34}
id: 210273853
{'hecke_orbit_code': 45035996307261702, 'n': 854, 'trace_an': -10}
id: 210273854
{'hecke_orbit_code': 45035996307261702, 'n': 855, 'trace_an': -8}
id: 210273855
{'hecke_orbit_code': 45035996307261702, 'n': 856, 'trace_an': -12}
id: 210273856
{'hecke_orbit_code': 45035996307261702, 'n': 857, 'trace_an': -42}
id: 210273857
{'hecke_orbit_code': 45035996307261702, 'n': 858, 'trace_an': 2}
id: 210273858
{'hecke_orbit_code': 45035996307261702, 'n': 859, 'trace_an': -20}
id: 210273859
{'hecke_orbit_code': 45035996307261702, 'n': 860, 'trace_an': 4}
id: 210273860
{'hecke_orbit_code': 45035996307261702, 'n': 861, 'trace_an': 2}
id: 210273861
{'hecke_orbit_code': 45035996307261702, 'n': 862, 'trace_an': -36}
id: 210273862
{'hecke_orbit_code': 45035996307261702, 'n': 863, 'trace_an': -24}
id: 210273863
{'hecke_orbit_code': 45035996307261702, 'n': 864, 'trace_an': -1}
id: 210273864
{'hecke_orbit_code': 45035996307261702, 'n': 865, 'trace_an': -22}
id: 210273865
{'hecke_orbit_code': 45035996307261702, 'n': 866, 'trace_an': 26}
id: 210273866
{'hecke_orbit_code': 45035996307261702, 'n': 867, 'trace_an': -13}
id: 210273867
{'hecke_orbit_code': 45035996307261702, 'n': 868, 'trace_an': 0}
id: 210273868
{'hecke_orbit_code': 45035996307261702, 'n': 869, 'trace_an': -4}
id: 210273869
{'hecke_orbit_code': 45035996307261702, 'n': 870, 'trace_an': 6}
id: 210273870
{'hecke_orbit_code': 45035996307261702, 'n': 871, 'trace_an': 16}
id: 210273871
{'hecke_orbit_code': 45035996307261702, 'n': 872, 'trace_an': -2}
id: 210273872
{'hecke_orbit_code': 45035996307261702, 'n': 873, 'trace_an': 14}
id: 210273873
{'hecke_orbit_code': 45035996307261702, 'n': 874, 'trace_an': -64}
id: 210273874
{'hecke_orbit_code': 45035996307261702, 'n': 875, 'trace_an': -1}
id: 210273875
{'hecke_orbit_code': 45035996307261702, 'n': 876, 'trace_an': -10}
id: 210273876
{'hecke_orbit_code': 45035996307261702, 'n': 877, 'trace_an': 2}
id: 210273877
{'hecke_orbit_code': 45035996307261702, 'n': 878, 'trace_an': 0}
id: 210273878
{'hecke_orbit_code': 45035996307261702, 'n': 879, 'trace_an': 26}
id: 210273879
{'hecke_orbit_code': 45035996307261702, 'n': 880, 'trace_an': -1}
id: 210273880
{'hecke_orbit_code': 45035996307261702, 'n': 881, 'trace_an': 18}
id: 210273881
{'hecke_orbit_code': 45035996307261702, 'n': 882, 'trace_an': -1}
id: 210273882
{'hecke_orbit_code': 45035996307261702, 'n': 883, 'trace_an': 16}
id: 210273883
{'hecke_orbit_code': 45035996307261702, 'n': 884, 'trace_an': -4}
id: 210273884
{'hecke_orbit_code': 45035996307261702, 'n': 885, 'trace_an': 4}
id: 210273885
{'hecke_orbit_code': 45035996307261702, 'n': 886, 'trace_an': 0}
id: 210273886
{'hecke_orbit_code': 45035996307261702, 'n': 887, 'trace_an': 0}
id: 210273887
{'hecke_orbit_code': 45035996307261702, 'n': 888, 'trace_an': 6}
id: 210273888
{'hecke_orbit_code': 45035996307261702, 'n': 889, 'trace_an': -8}
id: 210273889
{'hecke_orbit_code': 45035996307261702, 'n': 890, 'trace_an': 14}
id: 210273890
{'hecke_orbit_code': 45035996307261702, 'n': 891, 'trace_an': -1}
id: 210273891
{'hecke_orbit_code': 45035996307261702, 'n': 892, 'trace_an': -4}
id: 210273892
{'hecke_orbit_code': 45035996307261702, 'n': 893, 'trace_an': -96}
id: 210273893
{'hecke_orbit_code': 45035996307261702, 'n': 894, 'trace_an': 6}
id: 210273894
{'hecke_orbit_code': 45035996307261702, 'n': 895, 'trace_an': -20}
id: 210273895
{'hecke_orbit_code': 45035996307261702, 'n': 896, 'trace_an': 1}
id: 210273896
{'hecke_orbit_code': 45035996307261702, 'n': 897, 'trace_an': -16}
id: 210273897
{'hecke_orbit_code': 45035996307261702, 'n': 898, 'trace_an': -18}
id: 210273898
{'hecke_orbit_code': 45035996307261702, 'n': 899, 'trace_an': 0}
id: 210273899
{'hecke_orbit_code': 45035996307261702, 'n': 900, 'trace_an': 1}
id: 210273900
{'hecke_orbit_code': 45035996307261702, 'n': 901, 'trace_an': 28}
id: 210273901
{'hecke_orbit_code': 45035996307261702, 'n': 902, 'trace_an': -2}
id: 210273902
{'hecke_orbit_code': 45035996307261702, 'n': 903, 'trace_an': -4}
id: 210273903
{'hecke_orbit_code': 45035996307261702, 'n': 904, 'trace_an': 6}
id: 210273904
{'hecke_orbit_code': 45035996307261702, 'n': 905, 'trace_an': 22}
id: 210273905
{'hecke_orbit_code': 45035996307261702, 'n': 906, 'trace_an': 12}
id: 210273906
{'hecke_orbit_code': 45035996307261702, 'n': 907, 'trace_an': 40}
id: 210273907
{'hecke_orbit_code': 45035996307261702, 'n': 908, 'trace_an': -12}
id: 210273908
{'hecke_orbit_code': 45035996307261702, 'n': 909, 'trace_an': -10}
id: 210273909
{'hecke_orbit_code': 45035996307261702, 'n': 910, 'trace_an': 2}
id: 210273910
{'hecke_orbit_code': 45035996307261702, 'n': 911, 'trace_an': -16}
id: 210273911
{'hecke_orbit_code': 45035996307261702, 'n': 912, 'trace_an': -8}
id: 210273912
{'hecke_orbit_code': 45035996307261702, 'n': 913, 'trace_an': 4}
id: 210273913
{'hecke_orbit_code': 45035996307261702, 'n': 914, 'trace_an': -6}
id: 210273914
{'hecke_orbit_code': 45035996307261702, 'n': 915, 'trace_an': -10}
id: 210273915
{'hecke_orbit_code': 45035996307261702, 'n': 916, 'trace_an': -26}
id: 210273916
{'hecke_orbit_code': 45035996307261702, 'n': 917, 'trace_an': 8}
id: 210273917
{'hecke_orbit_code': 45035996307261702, 'n': 918, 'trace_an': 2}
id: 210273918
{'hecke_orbit_code': 45035996307261702, 'n': 919, 'trace_an': 4}
id: 210273919
{'hecke_orbit_code': 45035996307261702, 'n': 920, 'trace_an': 8}
id: 210273920
{'hecke_orbit_code': 45035996307261702, 'n': 921, 'trace_an': 20}
id: 210273921
{'hecke_orbit_code': 45035996307261702, 'n': 922, 'trace_an': 10}
id: 210273922
{'hecke_orbit_code': 45035996307261702, 'n': 923, 'trace_an': 0}
id: 210273923
{'hecke_orbit_code': 45035996307261702, 'n': 924, 'trace_an': 1}
id: 210273924
{'hecke_orbit_code': 45035996307261702, 'n': 925, 'trace_an': -6}
id: 210273925
{'hecke_orbit_code': 45035996307261702, 'n': 926, 'trace_an': 16}
id: 210273926
{'hecke_orbit_code': 45035996307261702, 'n': 927, 'trace_an': 12}
id: 210273927
{'hecke_orbit_code': 45035996307261702, 'n': 928, 'trace_an': 6}
id: 210273928
{'hecke_orbit_code': 45035996307261702, 'n': 929, 'trace_an': 26}
id: 210273929
{'hecke_orbit_code': 45035996307261702, 'n': 930, 'trace_an': 0}
id: 210273930
{'hecke_orbit_code': 45035996307261702, 'n': 931, 'trace_an': -8}
id: 210273931
{'hecke_orbit_code': 45035996307261702, 'n': 932, 'trace_an': -10}
id: 210273932
{'hecke_orbit_code': 45035996307261702, 'n': 933, 'trace_an': -16}
id: 210273933
{'hecke_orbit_code': 45035996307261702, 'n': 934, 'trace_an': -28}
id: 210273934
{'hecke_orbit_code': 45035996307261702, 'n': 935, 'trace_an': 2}
id: 210273935
{'hecke_orbit_code': 45035996307261702, 'n': 936, 'trace_an': -2}
id: 210273936
{'hecke_orbit_code': 45035996307261702, 'n': 937, 'trace_an': -26}
id: 210273937
{'hecke_orbit_code': 45035996307261702, 'n': 938, 'trace_an': 8}
id: 210273938
{'hecke_orbit_code': 45035996307261702, 'n': 939, 'trace_an': -18}
id: 210273939
{'hecke_orbit_code': 45035996307261702, 'n': 940, 'trace_an': 12}
id: 210273940
{'hecke_orbit_code': 45035996307261702, 'n': 941, 'trace_an': 30}
id: 210273941
{'hecke_orbit_code': 45035996307261702, 'n': 942, 'trace_an': -6}
id: 210273942
{'hecke_orbit_code': 45035996307261702, 'n': 943, 'trace_an': 16}
id: 210273943
{'hecke_orbit_code': 45035996307261702, 'n': 944, 'trace_an': 4}
id: 210273944
{'hecke_orbit_code': 45035996307261702, 'n': 945, 'trace_an': -1}
id: 210273945
{'hecke_orbit_code': 45035996307261702, 'n': 946, 'trace_an': 4}
id: 210273946
{'hecke_orbit_code': 45035996307261702, 'n': 947, 'trace_an': 32}
id: 210273947
{'hecke_orbit_code': 45035996307261702, 'n': 948, 'trace_an': 4}
id: 210273948
{'hecke_orbit_code': 45035996307261702, 'n': 949, 'trace_an': -20}
id: 210273949
{'hecke_orbit_code': 45035996307261702, 'n': 950, 'trace_an': 8}
id: 210273950
{'hecke_orbit_code': 45035996307261702, 'n': 951, 'trace_an': -22}
id: 210273951
{'hecke_orbit_code': 45035996307261702, 'n': 952, 'trace_an': -2}
id: 210273952
{'hecke_orbit_code': 45035996307261702, 'n': 953, 'trace_an': -26}
id: 210273953
{'hecke_orbit_code': 45035996307261702, 'n': 954, 'trace_an': 14}
id: 210273954
{'hecke_orbit_code': 45035996307261702, 'n': 955, 'trace_an': 24}
id: 210273955
{'hecke_orbit_code': 45035996307261702, 'n': 956, 'trace_an': -20}
id: 210273956
{'hecke_orbit_code': 45035996307261702, 'n': 957, 'trace_an': 6}
id: 210273957
{'hecke_orbit_code': 45035996307261702, 'n': 958, 'trace_an': 8}
id: 210273958
{'hecke_orbit_code': 45035996307261702, 'n': 959, 'trace_an': -2}
id: 210273959
{'hecke_orbit_code': 45035996307261702, 'n': 960, 'trace_an': 1}
id: 210273960
{'hecke_orbit_code': 45035996307261702, 'n': 961, 'trace_an': -31}
id: 210273961
{'hecke_orbit_code': 45035996307261702, 'n': 962, 'trace_an': 12}
id: 210273962
{'hecke_orbit_code': 45035996307261702, 'n': 963, 'trace_an': 12}
id: 210273963
{'hecke_orbit_code': 45035996307261702, 'n': 964, 'trace_an': -10}
id: 210273964
{'hecke_orbit_code': 45035996307261702, 'n': 965, 'trace_an': 22}
id: 210273965
{'hecke_orbit_code': 45035996307261702, 'n': 966, 'trace_an': -8}
id: 210273966
{'hecke_orbit_code': 45035996307261702, 'n': 967, 'trace_an': -32}
id: 210273967
{'hecke_orbit_code': 45035996307261702, 'n': 968, 'trace_an': -1}
id: 210273968
{'hecke_orbit_code': 45035996307261702, 'n': 969, 'trace_an': 16}
id: 210273969
{'hecke_orbit_code': 45035996307261702, 'n': 970, 'trace_an': -14}
id: 210273970
{'hecke_orbit_code': 45035996307261702, 'n': 971, 'trace_an': -60}
id: 210273971
{'hecke_orbit_code': 45035996307261702, 'n': 972, 'trace_an': 1}
id: 210273972
{'hecke_orbit_code': 45035996307261702, 'n': 973, 'trace_an': -16}
id: 210273973
{'hecke_orbit_code': 45035996307261702, 'n': 974, 'trace_an': 16}
id: 210273974
{'hecke_orbit_code': 45035996307261702, 'n': 975, 'trace_an': 2}
id: 210273975
{'hecke_orbit_code': 45035996307261702, 'n': 976, 'trace_an': -10}
id: 210273976
{'hecke_orbit_code': 45035996307261702, 'n': 977, 'trace_an': 42}
id: 210273977
{'hecke_orbit_code': 45035996307261702, 'n': 978, 'trace_an': 8}
id: 210273978
{'hecke_orbit_code': 45035996307261702, 'n': 979, 'trace_an': 14}
id: 210273979
{'hecke_orbit_code': 45035996307261702, 'n': 980, 'trace_an': 1}
id: 210273980
{'hecke_orbit_code': 45035996307261702, 'n': 981, 'trace_an': 2}
id: 210273981
{'hecke_orbit_code': 45035996307261702, 'n': 982, 'trace_an': 28}
id: 210273982
{'hecke_orbit_code': 45035996307261702, 'n': 983, 'trace_an': -36}
id: 210273983
{'hecke_orbit_code': 45035996307261702, 'n': 984, 'trace_an': 2}
id: 210273984
{'hecke_orbit_code': 45035996307261702, 'n': 985, 'trace_an': -6}
id: 210273985
{'hecke_orbit_code': 45035996307261702, 'n': 986, 'trace_an': -12}
id: 210273986
{'hecke_orbit_code': 45035996307261702, 'n': 987, 'trace_an': -12}
id: 210273987
{'hecke_orbit_code': 45035996307261702, 'n': 988, 'trace_an': -16}
id: 210273988
{'hecke_orbit_code': 45035996307261702, 'n': 989, 'trace_an': -32}
id: 210273989
{'hecke_orbit_code': 45035996307261702, 'n': 990, 'trace_an': 1}
id: 210273990
{'hecke_orbit_code': 45035996307261702, 'n': 991, 'trace_an': 56}
id: 210273991
{'hecke_orbit_code': 45035996307261702, 'n': 992, 'trace_an': 0}
id: 210273992
{'hecke_orbit_code': 45035996307261702, 'n': 993, 'trace_an': 28}
id: 210273993
{'hecke_orbit_code': 45035996307261702, 'n': 994, 'trace_an': 0}
id: 210273994
{'hecke_orbit_code': 45035996307261702, 'n': 995, 'trace_an': 16}
id: 210273995
{'hecke_orbit_code': 45035996307261702, 'n': 996, 'trace_an': -4}
id: 210273996
{'hecke_orbit_code': 45035996307261702, 'n': 997, 'trace_an': -62}
id: 210273997
{'hecke_orbit_code': 45035996307261702, 'n': 998, 'trace_an': -4}
id: 210273998
{'hecke_orbit_code': 45035996307261702, 'n': 999, 'trace_an': -6}
id: 210273999
{'hecke_orbit_code': 45035996307261702, 'n': 1000, 'trace_an': -1}

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.