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': 972, 'analytic_conductor': 5.49666262033679, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -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': [3, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 14569, 'field_disc_factorization': [[17, 1], [857, 1]], 'field_poly': [-3642, -1, 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': [[2, [-42912, -594, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599929360387, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 6, 'hecke_ring_index_factorization': [[2, 1], [3, 1]], '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': '3.18.a.b', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '3.18.a.b', 'nf_label': '2.2.14569.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(297-\\beta )q^{2}+3^{8}q^{3}+(88258-594\\beta )q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '17.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3.18.a', 'trace_display': [594, 13122, 382860, 24471568], 'trace_hash': 2181978801109804764, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.029', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.933', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.126', 'prec': 10}, {'__RealLiteral__': 0, 'data': '8.830', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.834', 'prec': 10}, {'__RealLiteral__': 0, 'data': '55.841', 'prec': 17}], 'trace_zratio': 0, 'traces': [2, 594, 13122, 176516, 382860, 3897234, 24471568, 130340232, 86093442, -809382420, -987553512, 1158121476, -2519398244, -435565296, 2511944460, 50611323920, -34313126364, 25569752274, 80053542184, -514526095080, 160557957648, -259702850088, 297228742704, 855162262152, 1796695260350, -1635537155076, 564859072962, -2416139220704, -470374069572, -5310358057620, 3400754454592, 5026499631648, -6479338592232, -15780403538748, 31801338154080, 7598435004036, 10652012180428, 54393717084264, -16529771878884, -98377731579600, -113376799448748, -2857743907056, 61637031489880, -67200775334352, 16480867602060, 446377123388592, -279645641926560, 332060896239120, 60469362475890, 180203550461550, -225128422074204, -749398920924104, -530964038611476, 167763144669714, -307321280077680, 565580346246720, 525231290269224, -680706445363812, 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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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-0.10530721333266928], 'char_orbit_index': 1, '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': 60.85105632878351, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599929360387, 'label': '3.18.a.b.1.1', 'level': 3, 'weight': 18}

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': [1, 2], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [1, 1], 'ALdims_old': [1, 1], 'Nk2': 972, 'analytic_conductor': 5.49666262033679, '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': [3, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 5, 'dim': 3, 'eis_dim': 2, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 301989891, 'hecke_orbit_dims': [1, 2], 'label': '3.18.a', 'level': 3, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 7, 'mf_new_dim': 3, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 3, 'sturm_bound': 6, 'trace_bound': 1, 'trace_display': [798, 6561, 219306, 3625008], 'traces': [3, 798, 6561, 87060, 219306, 2558790, 3625008, 85352520, 129140163, 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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: 34483696
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599929360387, 'target_is_minimal': True, 'target_label': '3.18.a.b.1.1', 'target_level': 3, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 18}
id: 34483697
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199556730889, 'target_is_minimal': False, 'target_label': '9.18.a.c.1.2', 'target_level': 9, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 18}
id: 34483698
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197693583408, 'target_is_minimal': False, 'target_label': '48.18.a.h.1.2', 'target_level': 48, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 18}
id: 34483699
{'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268276207691, 'target_is_minimal': False, 'target_label': '75.18.b.c.49.2', 'target_level': 75, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 18}
id: 34483700
{'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268276207691, 'target_is_minimal': False, 'target_label': '75.18.b.c.49.3', 'target_level': 75, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 18}
id: 34483701
{'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599929360387, 'source_is_minimal': True, 'source_label': '3.18.a.b.1.1', 'source_level': 3, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599929360459, 'target_is_minimal': False, 'target_label': '75.18.a.b.1.2', 'target_level': 75, 'twist_class_label': '3.18.a.b.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 18}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 9125
{'charpoly_factorization': [[[-42912, -594, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 2}
id: 9126
{'charpoly_factorization': [[[-6561, 1], 2]], 'hecke_orbit_code': 4503599929360387, 'p': 3}
id: 9127
{'charpoly_factorization': [[[-1587996193500, -382860, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 5}
id: 9128
{'charpoly_factorization': [[[36563624964160, -24471568, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 7}
id: 9129
{'charpoly_factorization': [[[241662899580669072, 987553512, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 11}
id: 9130
{'charpoly_factorization': [[[85826630199297988, 2519398244, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 13}
id: 9131
{'charpoly_factorization': [[[234781594617081830724, 34313126364, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 17}
id: 9132
{'charpoly_factorization': [[[-185234520277889694320, -80053542184, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 19}
id: 9133
{'charpoly_factorization': [[[-222412635685819130166720, -297228742704, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 23}
id: 9134
{'charpoly_factorization': [[[-502734177663602624512380, 470374069572, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 29}
id: 9135
{'charpoly_factorization': [[[376073386682108523443200, -3400754454592, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 31}
id: 9136
{'charpoly_factorization': [[[-413610177451119192548099420, -10652012180428, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 37}
id: 9137
{'charpoly_factorization': [[[2666589765699308594999488740, 113376799448748, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 41}
id: 9138
{'charpoly_factorization': [[[-3605412239982138048161680496, -61637031489880, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 43}
id: 9139
{'charpoly_factorization': [[[19055553710579005582938491136, 279645641926560, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 47}
id: 9140
{'charpoly_factorization': [[[54965175144381085457532216420, 530964038611476, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 53}
id: 9141
{'charpoly_factorization': [[[-179080275397350121743603037680, -1727524231086456, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 59}
id: 9142
{'charpoly_factorization': [[[1937726483198503748375663473156, -2784287656027900, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 61}
id: 9143
{'charpoly_factorization': [[[2733616113184466986354889000464, 3329301676696184, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 67}
id: 9144
{'charpoly_factorization': [[[45166429353916529613725667660864, 13489402206504816, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 71}
id: 9145
{'charpoly_factorization': [[[-175242316299457817977086373843100, -436589918136724, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 73}
id: 9146
{'charpoly_factorization': [[[-106848883990011720062065941804800, -4376041565214880, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 79}
id: 9147
{'charpoly_factorization': [[[365757457501467273571999574646672, 39886442265612888, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 83}
id: 9148
{'charpoly_factorization': [[[-1690885178941200888313319251706460, -6972184096107444, 1], 1]], 'hecke_orbit_code': 4503599929360387, 'p': 89}
id: 9149
{'charpoly_factorization': [[[8114017702591983179536147275888004, -183569555712460996, 1], 1]], 'hecke_orbit_code': 4503599929360387, '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': 2, 'label': '3.18.a.b', 'level': 3, 'portrait': 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', 'weight': 18}

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: 19946562
{'hecke_orbit_code': 4503599929360387, 'n': 1, 'trace_an': 2}
id: 19946563
{'hecke_orbit_code': 4503599929360387, 'n': 2, 'trace_an': 594}
id: 19946564
{'hecke_orbit_code': 4503599929360387, 'n': 3, 'trace_an': 13122}
id: 19946565
{'hecke_orbit_code': 4503599929360387, 'n': 4, 'trace_an': 176516}
id: 19946566
{'hecke_orbit_code': 4503599929360387, 'n': 5, 'trace_an': 382860}
id: 19946567
{'hecke_orbit_code': 4503599929360387, 'n': 6, 'trace_an': 3897234}
id: 19946568
{'hecke_orbit_code': 4503599929360387, 'n': 7, 'trace_an': 24471568}
id: 19946569
{'hecke_orbit_code': 4503599929360387, 'n': 8, 'trace_an': 130340232}
id: 19946570
{'hecke_orbit_code': 4503599929360387, 'n': 9, 'trace_an': 86093442}
id: 19946571
{'hecke_orbit_code': 4503599929360387, 'n': 10, 'trace_an': -809382420}
id: 19946572
{'hecke_orbit_code': 4503599929360387, 'n': 11, 'trace_an': -987553512}
id: 19946573
{'hecke_orbit_code': 4503599929360387, 'n': 12, 'trace_an': 1158121476}
id: 19946574
{'hecke_orbit_code': 4503599929360387, 'n': 13, 'trace_an': -2519398244}
id: 19946575
{'hecke_orbit_code': 4503599929360387, 'n': 14, 'trace_an': -435565296}
id: 19946576
{'hecke_orbit_code': 4503599929360387, 'n': 15, 'trace_an': 2511944460}
id: 19946577
{'hecke_orbit_code': 4503599929360387, 'n': 16, 'trace_an': 50611323920}
id: 19946578
{'hecke_orbit_code': 4503599929360387, 'n': 17, 'trace_an': -34313126364}
id: 19946579
{'hecke_orbit_code': 4503599929360387, 'n': 18, 'trace_an': 25569752274}
id: 19946580
{'hecke_orbit_code': 4503599929360387, 'n': 19, 'trace_an': 80053542184}
id: 19946581
{'hecke_orbit_code': 4503599929360387, 'n': 20, 'trace_an': -514526095080}
id: 19946582
{'hecke_orbit_code': 4503599929360387, 'n': 21, 'trace_an': 160557957648}
id: 19946583
{'hecke_orbit_code': 4503599929360387, 'n': 22, 'trace_an': -259702850088}
id: 19946584
{'hecke_orbit_code': 4503599929360387, 'n': 23, 'trace_an': 297228742704}
id: 19946585
{'hecke_orbit_code': 4503599929360387, 'n': 24, 'trace_an': 855162262152}
id: 19946586
{'hecke_orbit_code': 4503599929360387, 'n': 25, 'trace_an': 1796695260350}
id: 19946587
{'hecke_orbit_code': 4503599929360387, 'n': 26, 'trace_an': -1635537155076}
id: 19946588
{'hecke_orbit_code': 4503599929360387, 'n': 27, 'trace_an': 564859072962}
id: 19946589
{'hecke_orbit_code': 4503599929360387, 'n': 28, 'trace_an': -2416139220704}
id: 19946590
{'hecke_orbit_code': 4503599929360387, 'n': 29, 'trace_an': -470374069572}
id: 19946591
{'hecke_orbit_code': 4503599929360387, 'n': 30, 'trace_an': -5310358057620}
id: 19946592
{'hecke_orbit_code': 4503599929360387, 'n': 31, 'trace_an': 3400754454592}
id: 19946593
{'hecke_orbit_code': 4503599929360387, 'n': 32, 'trace_an': 5026499631648}
id: 19946594
{'hecke_orbit_code': 4503599929360387, 'n': 33, 'trace_an': -6479338592232}
id: 19946595
{'hecke_orbit_code': 4503599929360387, 'n': 34, 'trace_an': -15780403538748}
id: 19946596
{'hecke_orbit_code': 4503599929360387, 'n': 35, 'trace_an': 31801338154080}
id: 19946597
{'hecke_orbit_code': 4503599929360387, 'n': 36, 'trace_an': 7598435004036}
id: 19946598
{'hecke_orbit_code': 4503599929360387, 'n': 37, 'trace_an': 10652012180428}
id: 19946599
{'hecke_orbit_code': 4503599929360387, 'n': 38, 'trace_an': 54393717084264}
id: 19946600
{'hecke_orbit_code': 4503599929360387, 'n': 39, 'trace_an': -16529771878884}
id: 19946601
{'hecke_orbit_code': 4503599929360387, 'n': 40, 'trace_an': -98377731579600}
id: 19946602
{'hecke_orbit_code': 4503599929360387, 'n': 41, 'trace_an': -113376799448748}
id: 19946603
{'hecke_orbit_code': 4503599929360387, 'n': 42, 'trace_an': -2857743907056}
id: 19946604
{'hecke_orbit_code': 4503599929360387, 'n': 43, 'trace_an': 61637031489880}
id: 19946605
{'hecke_orbit_code': 4503599929360387, 'n': 44, 'trace_an': -67200775334352}
id: 19946606
{'hecke_orbit_code': 4503599929360387, 'n': 45, 'trace_an': 16480867602060}
id: 19946607
{'hecke_orbit_code': 4503599929360387, 'n': 46, 'trace_an': 446377123388592}
id: 19946608
{'hecke_orbit_code': 4503599929360387, 'n': 47, 'trace_an': -279645641926560}
id: 19946609
{'hecke_orbit_code': 4503599929360387, 'n': 48, 'trace_an': 332060896239120}
id: 19946610
{'hecke_orbit_code': 4503599929360387, 'n': 49, 'trace_an': 60469362475890}
id: 19946611
{'hecke_orbit_code': 4503599929360387, 'n': 50, 'trace_an': 180203550461550}
id: 19946612
{'hecke_orbit_code': 4503599929360387, 'n': 51, 'trace_an': -225128422074204}
id: 19946613
{'hecke_orbit_code': 4503599929360387, 'n': 52, 'trace_an': -749398920924104}
id: 19946614
{'hecke_orbit_code': 4503599929360387, 'n': 53, 'trace_an': -530964038611476}
id: 19946615
{'hecke_orbit_code': 4503599929360387, 'n': 54, 'trace_an': 167763144669714}
id: 19946616
{'hecke_orbit_code': 4503599929360387, 'n': 55, 'trace_an': -307321280077680}
id: 19946617
{'hecke_orbit_code': 4503599929360387, 'n': 56, 'trace_an': 565580346246720}
id: 19946618
{'hecke_orbit_code': 4503599929360387, 'n': 57, 'trace_an': 525231290269224}
id: 19946619
{'hecke_orbit_code': 4503599929360387, 'n': 58, 'trace_an': -680706445363812}
id: 19946620
{'hecke_orbit_code': 4503599929360387, 'n': 59, 'trace_an': 1727524231086456}
id: 19946621
{'hecke_orbit_code': 4503599929360387, 'n': 60, 'trace_an': -3375805709819880}
id: 19946622
{'hecke_orbit_code': 4503599929360387, 'n': 61, 'trace_an': 2784287656027900}
id: 19946623
{'hecke_orbit_code': 4503599929360387, 'n': 62, 'trace_an': 2158582756499136}
id: 19946624
{'hecke_orbit_code': 4503599929360387, 'n': 63, 'trace_an': 1053420760128528}
id: 19946625
{'hecke_orbit_code': 4503599929360387, 'n': 64, 'trace_an': -994533569423296}
id: 19946626
{'hecke_orbit_code': 4503599929360387, 'n': 65, 'trace_an': 2640922679811240}
id: 19946627
{'hecke_orbit_code': 4503599929360387, 'n': 66, 'trace_an': -1703910399427368}
id: 19946628
{'hecke_orbit_code': 4503599929360387, 'n': 67, 'trace_an': -3329301676696184}
id: 19946629
{'hecke_orbit_code': 4503599929360387, 'n': 68, 'trace_an': -6348514481766072}
id: 19946630
{'hecke_orbit_code': 4503599929360387, 'n': 69, 'trace_an': 1950117780880944}
id: 19946631
{'hecke_orbit_code': 4503599929360387, 'n': 70, 'trace_an': -3324459101139360}
id: 19946632
{'hecke_orbit_code': 4503599929360387, 'n': 71, 'trace_an': -13489402206504816}
id: 19946633
{'hecke_orbit_code': 4503599929360387, 'n': 72, 'trace_an': 5610719601979272}
id: 19946634
{'hecke_orbit_code': 4503599929360387, 'n': 73, 'trace_an': 436589918136724}
id: 19946635
{'hecke_orbit_code': 4503599929360387, 'n': 74, 'trace_an': 18388942762073004}
id: 19946636
{'hecke_orbit_code': 4503599929360387, 'n': 75, 'trace_an': 11788117603156350}
id: 19946637
{'hecke_orbit_code': 4503599929360387, 'n': 76, 'trace_an': 25252347669111376}
id: 19946638
{'hecke_orbit_code': 4503599929360387, 'n': 77, 'trace_an': -13070541011736384}
id: 19946639
{'hecke_orbit_code': 4503599929360387, 'n': 78, 'trace_an': -10730759274453636}
id: 19946640
{'hecke_orbit_code': 4503599929360387, 'n': 79, 'trace_an': 4376041565214880}
id: 19946641
{'hecke_orbit_code': 4503599929360387, 'n': 80, 'trace_an': -15229171694708640}
id: 19946642
{'hecke_orbit_code': 4503599929360387, 'n': 81, 'trace_an': 3706040377703682}
id: 19946643
{'hecke_orbit_code': 4503599929360387, 'n': 82, 'trace_an': -16735234653750924}
id: 19946644
{'hecke_orbit_code': 4503599929360387, 'n': 83, 'trace_an': -39886442265612888}
id: 19946645
{'hecke_orbit_code': 4503599929360387, 'n': 84, 'trace_an': -15852289427038944}
id: 19946646
{'hecke_orbit_code': 4503599929360387, 'n': 85, 'trace_an': 13106143850552280}
id: 19946647
{'hecke_orbit_code': 4503599929360387, 'n': 86, 'trace_an': 67184884152159768}
id: 19946648
{'hecke_orbit_code': 4503599929360387, 'n': 87, 'trace_an': -3086124270461892}
id: 19946649
{'hecke_orbit_code': 4503599929360387, 'n': 88, 'trace_an': -59869809989481888}
id: 19946650
{'hecke_orbit_code': 4503599929360387, 'n': 89, 'trace_an': 6972184096107444}
id: 19946651
{'hecke_orbit_code': 4503599929360387, 'n': 90, 'trace_an': -34841259216044820}
id: 19946652
{'hecke_orbit_code': 4503599929360387, 'n': 91, 'trace_an': -4762196572326688}
id: 19946653
{'hecke_orbit_code': 4503599929360387, 'n': 92, 'trace_an': 238944325336039008}
id: 19946654
{'hecke_orbit_code': 4503599929360387, 'n': 93, 'trace_an': 22312349976578112}
id: 19946655
{'hecke_orbit_code': 4503599929360387, 'n': 94, 'trace_an': -99165314702307744}
id: 19946656
{'hecke_orbit_code': 4503599929360387, 'n': 95, 'trace_an': -92450059415485200}
id: 19946657
{'hecke_orbit_code': 4503599929360387, 'n': 96, 'trace_an': 32978864083242528}
id: 19946658
{'hecke_orbit_code': 4503599929360387, 'n': 97, 'trace_an': 183569555712460996}
id: 19946659
{'hecke_orbit_code': 4503599929360387, 'n': 98, 'trace_an': -170560284296616126}
id: 19946660
{'hecke_orbit_code': 4503599929360387, 'n': 99, 'trace_an': -42510940503634152}
id: 19946661
{'hecke_orbit_code': 4503599929360387, 'n': 100, 'trace_an': -51355745178295300}

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.