LMFDB - Newform data

Formats: - HTML - YAML - JSON - 2023-12-03T11:14:46.777115

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': 256, 'analytic_conductor': 1.426935050999204, 'analytic_rank': 0, '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': 268435457, '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': '1.16.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': '1.16.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+6^{3}q^{2}-3348q^{3}+13888q^{4}+52110q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1.16.a', 'trace_display': [216, -3348, 52110, 2822456], 'trace_hash': 408364369086688924, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.980', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.711', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 216, 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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

{'an': [[1], [216], [-3348], [13888], [52110], [-723168], [2822456], [-4078080], [-3139803], [11255760], [20586852], [-46497024], [-190073338], [609650496], [-174464280], [-1335947264], [1646527986], [-678197448], [1563257180], [723703680], [-9449582688], [4446760032], [9451116072], [13653411840], [-27802126025], [-41055841008], [58552201080], [39198268928], [-36902568330], [-37684284480], [71588483552], [-154934083584], [-68924780496], [355650044976], [147078182160], [-43605584064], [-1033652081554], [337663550880], [636365535624], [-212508748800], [1641974018202], [-2041109860608], [-492403109308], [285910200576], [-163615134330], [2041441071552], [-3410684952624], [4472751439872], [3218696361993], [-6005259221400], [-5512575697128], [-2639738518144], [6797151655902], [12647275433280], [1072780857720], [-11510201364480], [-5233785038640], [-7970954759280], [9858856815540], [-2422959920640], [4931842626902], [15463112447232], [-8861955816168], [10310557892608], [-9904721643180], [-14887752587136], [-28837826625364], [22866980669568], [-31642336609056], [31768887346560], [125050114914552], [12804367818240], [-82171455513478], [-223268849615664], [93081517931700], [21710515715840], [58105483948512], [137454955694784], [-25413078694480], [-69616211927040], [-150980027970519], [354666387931632], [-281736730890468], [-131235804370944], [85800573350460], [-106359071610528], [123549798768840], [-83954829404160], [715618564776810], [-35340869015280], [-536473633278128], [131257100007936], [-239678242932096], [-736707949766784], [81461331649800], [518719311839232], [612786136081826], [695238414190488], [-64638659670156], [-386115926235200]], 'ap': [[216], [-3348], [52110], [2822456], [20586852], [-190073338], [1646527986], [1563257180], [9451116072], [-36902568330], [71588483552], [-1033652081554], [1641974018202], [-492403109308], [-3410684952624], [6797151655902], [9858856815540], [4931842626902], [-28837826625364], [125050114914552], [-82171455513478], [-25413078694480], [-281736730890468], [715618564776810], [612786136081826], [-817641571654098], [741114547982552], [-2514301452571644], [1268353947457190], [-2054162866352238], [2990675947730816], [-1626226733523348], [10592201511845946], [-18670911522208540], [-12555957651134850], [28758788173002152], [-14527638158544394], [16774137626235212], [64199924334659736], [-75986044070753178], [93374877047641020], [74317669765796702], [-98622390566317248], [-8911776556935358], [35417574134917326], [-286460988828497800], [375833826551569052], [-25307787891567328], [303691994772520716], [107991586981028270], [-790506217682068518], [352956492128946960], [68568967462179602], [1588056499493163252], [-828562059034685694], [1404454851260256312], [1435820360137377030], [509159783589159152], [568946210839495166], [-4061836641519738198], [2785059360043480532], [-3638027115775808658], [-975296087300763844], [336691659808831752], [3655511591562842762], [-797379754904038314], [-10158512678893878748], [-4814653881814264654], [4502751666049603476], [22432314991369546550], [8025097307604388002], [1615072843193774040], [-9977994448626462064], [-23686588714485006178], [18685121156982396020], [-30252066823473936768], [-1007143932951970290], [35632419864211771526], [39432703089652313202], [-52782330312986685910], [8626299410782459980], [-42924857411864654098], [50476373204365891152], [50573397093112460882], [24794607909003802760], [-130654278967707957708], [-77827995175927650750], [-118450824223090809094], [138643031119690399302], [175645004594544548912], [-136630964339996286564], [64105810232391205920], [-24134317584467009704], [-28090793884898388348], [-171993603615123328900], [-183496515279116728248], [267203608600830147990], [-201467622292352438598], [358988638501746249572], [202328193434804061302], [74096261798900732876], [2096258165482303206], [687352768991581988412], [-90521802682779479670], [205773783706772924852], [570778361125879587266], [-930363435275990480604], [354224807936897233842], [-330045214241748274200], [-335883995287326350998], [-1334375729047804699744], [5688435372944444462], [398915477694945040986], [-540016641807600756220], [959110676308468369352], [-925925342118025231998], [-765927858754026197908], [1360754271840232136376], [-271808672598939928698], [674316250030836216540], [1267268866679850853502], [-1139445987246513182878], [1744312019604807273966], [-1437390792807621086268], [-1775475477541366791748], [1431003389167119462102], [-2418403187913507119410], [4744438233844295461680], [-3592646945141378296984], [-2768235432318591148618], [3558241342219996245260], [-1940919448954530628008], [4755648944590489774352], [3621365428229853791006], [-3863611493551703142198], [-5393270765226373961470], [6570369572295558011022], [-372073581785586295204], [2615111134656369060726], [5348992550333367700890], [8464923563697895536452], [7993973312037568404702], [1968405114515095582472], [-14353875238140627185484], [-8833271554558074901930], [12669646577325254931960], [6005322570637837971902], [14758947243889334451306], [964956153039498126740], [3443909030568133847712], [-10985023771436785030234], [-7984619570820038841198], [5452357163027018171132], [16712728456718529373896], [-15338437699335420028444], [-14913372374629398837648], [-5866674181682656972120], [-16794638211772494268830], [5044656161649011646746], [16542548428439130835302], [-9815830250691060979524], [-5979138890537025630198], [-14475696971583064201864], [1779211406030716089252], [10408769654278916425266], [32646136192413800125032], [-7473270757865514401248], [-31080942682464818856274]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 268435457, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1.16.a.a', 'level': 1, 'maxp': 997, 'weight': 16}

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': 256, 'analytic_conductor': 1.426935050999204, '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': 268435457, 'hecke_orbit_dims': [1], 'label': '1.16.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': [216, -3348, 52110, 2822456], 'traces': [1, 216, -3348, 13888, 52110, -723168, 2822456, -4078080, -3139803, 11255760, 20586852, -46497024, -190073338, 609650496, -174464280, -1335947264, 1646527986, -678197448, 1563257180, 723703680, 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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: 19
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1.16.a.a', 'target_level': 1, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
id: 20
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9.16.a.a', 'target_level': 9, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 21
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '16.16.a.d', 'target_level': 16, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 22
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.16.a.a', 'target_level': 25, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 23
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.16.b.a', 'target_level': 25, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 16}
id: 24
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '49.16.a.a', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 25
{'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '49.16.c.b', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 16}
id: 26
{'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '49.16.c.c', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 16}
id: 27
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '64.16.a.c', 'target_level': 64, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 16}
id: 28
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '64.16.a.i', 'target_level': 64, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 29
{'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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '121.16.a.a', 'target_level': 121, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 30
{'conductor': 12, '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': '1.16.a.a', 'source_level': 1, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '144.16.a.f', 'target_level': 144, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 16}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 25
{'charpoly_factorization': [[[-216, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 2}
id: 26
{'charpoly_factorization': [[[3348, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 3}
id: 27
{'charpoly_factorization': [[[-52110, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 5}
id: 28
{'charpoly_factorization': [[[-2822456, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 7}
id: 29
{'charpoly_factorization': [[[-20586852, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 11}
id: 30
{'charpoly_factorization': [[[190073338, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 13}
id: 31
{'charpoly_factorization': [[[-1646527986, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 17}
id: 32
{'charpoly_factorization': [[[-1563257180, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 19}
id: 33
{'charpoly_factorization': [[[-9451116072, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 23}
id: 34
{'charpoly_factorization': [[[36902568330, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 29}
id: 35
{'charpoly_factorization': [[[-71588483552, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 31}
id: 36
{'charpoly_factorization': [[[1033652081554, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 37}
id: 37
{'charpoly_factorization': [[[-1641974018202, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 41}
id: 38
{'charpoly_factorization': [[[492403109308, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 43}
id: 39
{'charpoly_factorization': [[[3410684952624, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 47}
id: 40
{'charpoly_factorization': [[[-6797151655902, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 53}
id: 41
{'charpoly_factorization': [[[-9858856815540, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 59}
id: 42
{'charpoly_factorization': [[[-4931842626902, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 61}
id: 43
{'charpoly_factorization': [[[28837826625364, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 67}
id: 44
{'charpoly_factorization': [[[-125050114914552, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 71}
id: 45
{'charpoly_factorization': [[[82171455513478, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 73}
id: 46
{'charpoly_factorization': [[[25413078694480, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 79}
id: 47
{'charpoly_factorization': [[[281736730890468, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 83}
id: 48
{'charpoly_factorization': [[[-715618564776810, 1], 1]], 'hecke_orbit_code': 268435457, 'p': 89}
id: 49
{'charpoly_factorization': [[[-612786136081826, 1], 1]], 'hecke_orbit_code': 268435457, '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': '1.16.a.a', 'level': 1, 'portrait': 'data:image/png;base64,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', 'weight': 16}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 15087000
{'hecke_orbit_code': 268435457, 'n': 1, 'trace_an': 1}
id: 15087001
{'hecke_orbit_code': 268435457, 'n': 2, 'trace_an': 216}
id: 15087002
{'hecke_orbit_code': 268435457, 'n': 3, 'trace_an': -3348}
id: 15087003
{'hecke_orbit_code': 268435457, 'n': 4, 'trace_an': 13888}
id: 15087004
{'hecke_orbit_code': 268435457, 'n': 5, 'trace_an': 52110}
id: 15087005
{'hecke_orbit_code': 268435457, 'n': 6, 'trace_an': -723168}
id: 15087006
{'hecke_orbit_code': 268435457, 'n': 7, 'trace_an': 2822456}
id: 15087007
{'hecke_orbit_code': 268435457, 'n': 8, 'trace_an': -4078080}
id: 15087008
{'hecke_orbit_code': 268435457, 'n': 9, 'trace_an': -3139803}
id: 15087009
{'hecke_orbit_code': 268435457, 'n': 10, 'trace_an': 11255760}
id: 15087010
{'hecke_orbit_code': 268435457, 'n': 11, 'trace_an': 20586852}
id: 15087011
{'hecke_orbit_code': 268435457, 'n': 12, 'trace_an': -46497024}
id: 15087012
{'hecke_orbit_code': 268435457, 'n': 13, 'trace_an': -190073338}
id: 15087013
{'hecke_orbit_code': 268435457, 'n': 14, 'trace_an': 609650496}
id: 15087014
{'hecke_orbit_code': 268435457, 'n': 15, 'trace_an': -174464280}
id: 15087015
{'hecke_orbit_code': 268435457, 'n': 16, 'trace_an': -1335947264}
id: 15087016
{'hecke_orbit_code': 268435457, 'n': 17, 'trace_an': 1646527986}
id: 15087017
{'hecke_orbit_code': 268435457, 'n': 18, 'trace_an': -678197448}
id: 15087018
{'hecke_orbit_code': 268435457, 'n': 19, 'trace_an': 1563257180}
id: 15087019
{'hecke_orbit_code': 268435457, 'n': 20, 'trace_an': 723703680}
id: 15087020
{'hecke_orbit_code': 268435457, 'n': 21, 'trace_an': -9449582688}
id: 15087021
{'hecke_orbit_code': 268435457, 'n': 22, 'trace_an': 4446760032}
id: 15087022
{'hecke_orbit_code': 268435457, 'n': 23, 'trace_an': 9451116072}
id: 15087023
{'hecke_orbit_code': 268435457, 'n': 24, 'trace_an': 13653411840}
id: 15087024
{'hecke_orbit_code': 268435457, 'n': 25, 'trace_an': -27802126025}
id: 15087025
{'hecke_orbit_code': 268435457, 'n': 26, 'trace_an': -41055841008}
id: 15087026
{'hecke_orbit_code': 268435457, 'n': 27, 'trace_an': 58552201080}
id: 15087027
{'hecke_orbit_code': 268435457, 'n': 28, 'trace_an': 39198268928}
id: 15087028
{'hecke_orbit_code': 268435457, 'n': 29, 'trace_an': -36902568330}
id: 15087029
{'hecke_orbit_code': 268435457, 'n': 30, 'trace_an': -37684284480}
id: 15087030
{'hecke_orbit_code': 268435457, 'n': 31, 'trace_an': 71588483552}
id: 15087031
{'hecke_orbit_code': 268435457, 'n': 32, 'trace_an': -154934083584}
id: 15087032
{'hecke_orbit_code': 268435457, 'n': 33, 'trace_an': -68924780496}
id: 15087033
{'hecke_orbit_code': 268435457, 'n': 34, 'trace_an': 355650044976}
id: 15087034
{'hecke_orbit_code': 268435457, 'n': 35, 'trace_an': 147078182160}
id: 15087035
{'hecke_orbit_code': 268435457, 'n': 36, 'trace_an': -43605584064}
id: 15087036
{'hecke_orbit_code': 268435457, 'n': 37, 'trace_an': -1033652081554}
id: 15087037
{'hecke_orbit_code': 268435457, 'n': 38, 'trace_an': 337663550880}
id: 15087038
{'hecke_orbit_code': 268435457, 'n': 39, 'trace_an': 636365535624}
id: 15087039
{'hecke_orbit_code': 268435457, 'n': 40, 'trace_an': -212508748800}
id: 15087040
{'hecke_orbit_code': 268435457, 'n': 41, 'trace_an': 1641974018202}
id: 15087041
{'hecke_orbit_code': 268435457, 'n': 42, 'trace_an': -2041109860608}
id: 15087042
{'hecke_orbit_code': 268435457, 'n': 43, 'trace_an': -492403109308}
id: 15087043
{'hecke_orbit_code': 268435457, 'n': 44, 'trace_an': 285910200576}
id: 15087044
{'hecke_orbit_code': 268435457, 'n': 45, 'trace_an': -163615134330}
id: 15087045
{'hecke_orbit_code': 268435457, 'n': 46, 'trace_an': 2041441071552}
id: 15087046
{'hecke_orbit_code': 268435457, 'n': 47, 'trace_an': -3410684952624}
id: 15087047
{'hecke_orbit_code': 268435457, 'n': 48, 'trace_an': 4472751439872}
id: 15087048
{'hecke_orbit_code': 268435457, 'n': 49, 'trace_an': 3218696361993}
id: 15087049
{'hecke_orbit_code': 268435457, 'n': 50, 'trace_an': -6005259221400}
id: 15087050
{'hecke_orbit_code': 268435457, 'n': 51, 'trace_an': -5512575697128}
id: 15087051
{'hecke_orbit_code': 268435457, 'n': 52, 'trace_an': -2639738518144}
id: 15087052
{'hecke_orbit_code': 268435457, 'n': 53, 'trace_an': 6797151655902}
id: 15087053
{'hecke_orbit_code': 268435457, 'n': 54, 'trace_an': 12647275433280}
id: 15087054
{'hecke_orbit_code': 268435457, 'n': 55, 'trace_an': 1072780857720}
id: 15087055
{'hecke_orbit_code': 268435457, 'n': 56, 'trace_an': -11510201364480}
id: 15087056
{'hecke_orbit_code': 268435457, 'n': 57, 'trace_an': -5233785038640}
id: 15087057
{'hecke_orbit_code': 268435457, 'n': 58, 'trace_an': -7970954759280}
id: 15087058
{'hecke_orbit_code': 268435457, 'n': 59, 'trace_an': 9858856815540}
id: 15087059
{'hecke_orbit_code': 268435457, 'n': 60, 'trace_an': -2422959920640}
id: 15087060
{'hecke_orbit_code': 268435457, 'n': 61, 'trace_an': 4931842626902}
id: 15087061
{'hecke_orbit_code': 268435457, 'n': 62, 'trace_an': 15463112447232}
id: 15087062
{'hecke_orbit_code': 268435457, 'n': 63, 'trace_an': -8861955816168}
id: 15087063
{'hecke_orbit_code': 268435457, 'n': 64, 'trace_an': 10310557892608}
id: 15087064
{'hecke_orbit_code': 268435457, 'n': 65, 'trace_an': -9904721643180}
id: 15087065
{'hecke_orbit_code': 268435457, 'n': 66, 'trace_an': -14887752587136}
id: 15087066
{'hecke_orbit_code': 268435457, 'n': 67, 'trace_an': -28837826625364}
id: 15087067
{'hecke_orbit_code': 268435457, 'n': 68, 'trace_an': 22866980669568}
id: 15087068
{'hecke_orbit_code': 268435457, 'n': 69, 'trace_an': -31642336609056}
id: 15087069
{'hecke_orbit_code': 268435457, 'n': 70, 'trace_an': 31768887346560}
id: 15087070
{'hecke_orbit_code': 268435457, 'n': 71, 'trace_an': 125050114914552}
id: 15087071
{'hecke_orbit_code': 268435457, 'n': 72, 'trace_an': 12804367818240}
id: 15087072
{'hecke_orbit_code': 268435457, 'n': 73, 'trace_an': -82171455513478}
id: 15087073
{'hecke_orbit_code': 268435457, 'n': 74, 'trace_an': -223268849615664}
id: 15087074
{'hecke_orbit_code': 268435457, 'n': 75, 'trace_an': 93081517931700}
id: 15087075
{'hecke_orbit_code': 268435457, 'n': 76, 'trace_an': 21710515715840}
id: 15087076
{'hecke_orbit_code': 268435457, 'n': 77, 'trace_an': 58105483948512}
id: 15087077
{'hecke_orbit_code': 268435457, 'n': 78, 'trace_an': 137454955694784}
id: 15087078
{'hecke_orbit_code': 268435457, 'n': 79, 'trace_an': -25413078694480}
id: 15087079
{'hecke_orbit_code': 268435457, 'n': 80, 'trace_an': -69616211927040}
id: 15087080
{'hecke_orbit_code': 268435457, 'n': 81, 'trace_an': -150980027970519}
id: 15087081
{'hecke_orbit_code': 268435457, 'n': 82, 'trace_an': 354666387931632}
id: 15087082
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id: 15087854
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id: 15087855
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id: 15087856
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id: 15087857
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id: 15087858
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id: 15087859
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id: 15087860
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id: 15087861
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id: 15087862
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id: 15087863
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id: 15087864
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id: 15087865
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id: 15087866
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id: 15087867
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id: 15087868
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id: 15087869
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id: 15087870
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id: 15087871
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id: 15087872
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id: 15087873
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id: 15087874
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id: 15087875
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id: 15087876
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id: 15087877
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id: 15087878
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id: 15087879
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id: 15087880
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id: 15087881
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id: 15087882
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id: 15087883
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id: 15087884
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id: 15087885
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id: 15087886
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id: 15087887
{'hecke_orbit_code': 268435457, 'n': 888, 'trace_an': -14112877568730029199360}
id: 15087888
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id: 15087889
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id: 15087890
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id: 15087891
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id: 15087892
{'hecke_orbit_code': 268435457, 'n': 893, 'trace_an': -5331777740907427840320}
id: 15087893
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id: 15087894
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id: 15087895
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id: 15087896
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id: 15087897
{'hecke_orbit_code': 268435457, 'n': 898, 'trace_an': -16810846958000372562000}
id: 15087898
{'hecke_orbit_code': 268435457, 'n': 899, 'trace_an': -2641798905918761108160}
id: 15087899
{'hecke_orbit_code': 268435457, 'n': 900, 'trace_an': 1212327943541059665600}
id: 15087900
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id: 15087901
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id: 15087902
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id: 15087903
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id: 15087904
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id: 15087905
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id: 15087906
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id: 15087907
{'hecke_orbit_code': 268435457, 'n': 908, 'trace_an': 4217674423400767703808}
id: 15087908
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id: 15087909
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id: 15087910
{'hecke_orbit_code': 268435457, 'n': 911, 'trace_an': -14913372374629398837648}
id: 15087911
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id: 15087912
{'hecke_orbit_code': 268435457, 'n': 913, 'trace_an': -5800072381805892926736}
id: 15087913
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id: 15087914
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id: 15087915
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id: 15087916
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id: 15087917
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id: 15087918
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id: 15087919
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id: 15087920
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id: 15087921
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id: 15087922
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id: 15087923
{'hecke_orbit_code': 268435457, 'n': 924, 'trace_an': -2701732081685577228288}
id: 15087924
{'hecke_orbit_code': 268435457, 'n': 925, 'trace_an': 28737725437367885842850}
id: 15087925
{'hecke_orbit_code': 268435457, 'n': 926, 'trace_an': 37939320992421622564992}
id: 15087926
{'hecke_orbit_code': 268435457, 'n': 927, 'trace_an': -2326953681099260717256}
id: 15087927
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id: 15087928
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id: 15087929
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id: 15087930
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id: 15087931
{'hecke_orbit_code': 268435457, 'n': 932, 'trace_an': -10978550351168567577984}
id: 15087932
{'hecke_orbit_code': 268435457, 'n': 933, 'trace_an': -1127243677039968705696}
id: 15087933
{'hecke_orbit_code': 268435457, 'n': 934, 'trace_an': -29512288297439197897824}
id: 15087934
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id: 15087935
{'hecke_orbit_code': 268435457, 'n': 936, 'trace_an': -2433768932192654085120}
id: 15087936
{'hecke_orbit_code': 268435457, 'n': 937, 'trace_an': 5044656161649011646746}
id: 15087937
{'hecke_orbit_code': 268435457, 'n': 938, 'trace_an': -17580995305715168780544}
id: 15087938
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id: 15087939
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id: 15087940
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id: 15087941
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id: 15087942
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id: 15087943
{'hecke_orbit_code': 268435457, 'n': 944, 'trace_an': -13170912788888415682560}
id: 15087944
{'hecke_orbit_code': 268435457, 'n': 945, 'trace_an': 8611751296313188732800}
id: 15087945
{'hecke_orbit_code': 268435457, 'n': 946, 'trace_an': -2189598466103341577856}
id: 15087946
{'hecke_orbit_code': 268435457, 'n': 947, 'trace_an': -9815830250691060979524}
id: 15087947
{'hecke_orbit_code': 268435457, 'n': 948, 'trace_an': 1181632529971125227520}
id: 15087948
{'hecke_orbit_code': 268435457, 'n': 949, 'trace_an': 15618602837765267449564}
id: 15087949
{'hecke_orbit_code': 268435457, 'n': 950, 'trace_an': -9387764595614759652000}
id: 15087950
{'hecke_orbit_code': 268435457, 'n': 951, 'trace_an': 2669627419418720275272}
id: 15087951
{'hecke_orbit_code': 268435457, 'n': 952, 'trace_an': -18951868671111706337280}
id: 15087952
{'hecke_orbit_code': 268435457, 'n': 953, 'trace_an': -5979138890537025630198}
id: 15087953
{'hecke_orbit_code': 268435457, 'n': 954, 'trace_an': -4609810906701710538096}
id: 15087954
{'hecke_orbit_code': 268435457, 'n': 955, 'trace_an': -5139212772410791793280}
id: 15087955
{'hecke_orbit_code': 268435457, 'n': 956, 'trace_an': 4901859762686815380480}
id: 15087956
{'hecke_orbit_code': 268435457, 'n': 957, 'trace_an': 2543501421883891291680}
id: 15087957
{'hecke_orbit_code': 268435457, 'n': 958, 'trace_an': 13846855010196500478720}
id: 15087958
{'hecke_orbit_code': 268435457, 'n': 959, 'trace_an': 29896022710318661363376}
id: 15087959
{'hecke_orbit_code': 268435457, 'n': 960, 'trace_an': -1798824059132172042240}
id: 15087960
{'hecke_orbit_code': 268435457, 'n': 961, 'trace_an': -18340351014569711393247}
id: 15087961
{'hecke_orbit_code': 268435457, 'n': 962, 'trace_an': 42437455517869273566432}
id: 15087962
{'hecke_orbit_code': 268435457, 'n': 963, 'trace_an': 7894411243688805546132}
id: 15087963
{'hecke_orbit_code': 268435457, 'n': 964, 'trace_an': 952285820114750312576}
id: 15087964
{'hecke_orbit_code': 268435457, 'n': 965, 'trace_an': -464392676381901505380}
id: 15087965
{'hecke_orbit_code': 268435457, 'n': 966, 'trace_an': -19290766208309948491776}
id: 15087966
{'hecke_orbit_code': 268435457, 'n': 967, 'trace_an': -14475696971583064201864}
id: 15087967
{'hecke_orbit_code': 268435457, 'n': 968, 'trace_an': 15306786567101887925760}
id: 15087968
{'hecke_orbit_code': 268435457, 'n': 969, 'trace_an': -8617573538828851379040}
id: 15087969
{'hecke_orbit_code': 268435457, 'n': 970, 'trace_an': 6897373679064373817760}
id: 15087970
{'hecke_orbit_code': 268435457, 'n': 971, 'trace_an': 1779211406030716089252}
id: 15087971
{'hecke_orbit_code': 268435457, 'n': 972, 'trace_an': -4648021317275652013824}
id: 15087972
{'hecke_orbit_code': 268435457, 'n': 973, 'trace_an': -52697826251326626974240}
id: 15087973
{'hecke_orbit_code': 268435457, 'n': 974, 'trace_an': -5213012598244874096064}
id: 15087974
{'hecke_orbit_code': 268435457, 'n': 975, 'trace_an': -17692314819385075014600}
id: 15087975
{'hecke_orbit_code': 268435457, 'n': 976, 'trace_an': -6588681663888299696128}
id: 15087976
{'hecke_orbit_code': 268435457, 'n': 977, 'trace_an': 10408769654278916425266}
id: 15087977
{'hecke_orbit_code': 268435457, 'n': 978, 'trace_an': -12130519558889265791616}
id: 15087978
{'hecke_orbit_code': 268435457, 'n': 979, 'trace_an': 14732333481512600502120}
id: 15087979
{'hecke_orbit_code': 268435457, 'n': 980, 'trace_an': 2329382401976946234240}
id: 15087980
{'hecke_orbit_code': 268435457, 'n': 981, 'trace_an': -3982381529287927533570}
id: 15087981
{'hecke_orbit_code': 268435457, 'n': 982, 'trace_an': -6067611479138051883168}
id: 15087982
{'hecke_orbit_code': 268435457, 'n': 983, 'trace_an': 32646136192413800125032}
id: 15087983
{'hecke_orbit_code': 268435457, 'n': 984, 'trace_an': 22418547501091562311680}
id: 15087984
{'hecke_orbit_code': 268435457, 'n': 985, 'trace_an': 1845609788170541857860}
id: 15087985
{'hecke_orbit_code': 268435457, 'n': 986, 'trace_an': -13124400086294413210080}
id: 15087986
{'hecke_orbit_code': 268435457, 'n': 987, 'trace_an': 32229549482537850573312}
id: 15087987
{'hecke_orbit_code': 268435457, 'n': 988, 'trace_an': -4126590191811168273920}
id: 15087988
{'hecke_orbit_code': 268435457, 'n': 989, 'trace_an': -4653758940283611598176}
id: 15087989
{'hecke_orbit_code': 268435457, 'n': 990, 'trace_an': -727557239968955098560}
id: 15087990
{'hecke_orbit_code': 268435457, 'n': 991, 'trace_an': -7473270757865514401248}
id: 15087991
{'hecke_orbit_code': 268435457, 'n': 992, 'trace_an': -11091496094297377210368}
id: 15087992
{'hecke_orbit_code': 268435457, 'n': 993, 'trace_an': 34010700448936706048304}
id: 15087993
{'hecke_orbit_code': 268435457, 'n': 994, 'trace_an': 76236864582513624417792}
id: 15087994
{'hecke_orbit_code': 268435457, 'n': 995, 'trace_an': -14927482127853020358000}
id: 15087995
{'hecke_orbit_code': 268435457, 'n': 996, 'trace_an': 13099919537895631967232}
id: 15087996
{'hecke_orbit_code': 268435457, 'n': 997, 'trace_an': -31080942682464818856274}
id: 15087997
{'hecke_orbit_code': 268435457, 'n': 998, 'trace_an': -37150618380866639042400}
id: 15087998
{'hecke_orbit_code': 268435457, 'n': 999, 'trace_an': -60522604525910366878320}
id: 15087999
{'hecke_orbit_code': 268435457, 'n': 1000, 'trace_an': 12393447359302667520000}

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.