LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-09-20T23:57:15.632314

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': 2052, 'analytic_conductor': 4.096325623691683, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 171, 'char_degree': 6, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 41, 'char_orbit_label': 'bo', 'char_order': 18, 'char_parity': 1, 'char_values': [513, 18, [191, 325], [15, 7]], 'cm_discs': [], 'conrey_index': 71, 'dim': 108, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 2748812624385, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 171, 24, 1, 18, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '513.2.bo.a', 'level': 513, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 19], 'level_radical': 57, 'minimal_twist': '171.2.x.a', 'prim_orbit_index': 24, 'related_objects': [], 'relative_dim': 18, 'rm_discs': [], 'sato_tate_group': '1.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '513.2.bo', 'trace_display': [9, 0, 9, 3], 'traces': [108, 9, 0, -3, 9, 0, 3, 0, 0, -12, 0, 0, -6, 9, 0, -9, -27, 0, -15, 18, 0, 30, 45, 0, -3, 72, 0, -36, 9, 0, 0, 9, 0, 33, -45, 0, 0, 9, 0, 15, 9, 0, 9, 63, 0, -18, 9, 0, -15, -126, 0, -39, 0, 0, 3, -63, 0, -6, -36, 0, -24, -18, 0, 0, 18, 0, -63, -54, 0, 39, 0, 0, -45, 117, 0, -3, 18, 0, 3, -126, 0, -3, -27, 0, -3, 171, 0, -9, -54, 0, -9, 27, 0, 0, -99, 0, -57, 27, 0, -48, -18, 0, -9, 45, 0, -6, 81, 0, -12, -270, 0, 69, -45, 0, -24, -108, 0, -21, -99, 0, 6, 9, 0, 15, 108, 0, 6, -189, 0, -12, 81, 0, 66, 0, 0, 78, 9, 0, -78, 0, 0, -75, -180, 0, -18, 126, 0, 21, 117, 0, 0, 162, 0, -12, -63, 0, -15, -99, 0, 0, -99, 0, -6, 153, 0, -105, 108, 0, 18, 360, 0, 30, 270, 0, 123, 144, 0, -51, 0, 0, -12, 0, 0, 57, 18, 0, 84, -351, 0, -75, 54, 0, -18, 216, 0, 75, 90, 0, 9, 135, 0, 0, -171, 0, 24, -90, 0, 0, -90, 0, -45, -45, 0, 9, 0, 0, -9, 198, 0, 141, -306, 0, 21, 117, 0, -126, -45, 0, -6, -270, 0, -3, 81, 0, -6, 18, 0, 111, 9, 0, -72, 0, 0, 132, 144, 0, 0, -288, 0, -57, -99, 0, -69, -315, 0, 33, 63, 0, 54, 9, 0, -12, -81, 0, -81, -171, 0, 225, 126, 0, 51, -144, 0, -9, 72, 0, -66, 198, 0, -33, -126, 0, -111, -279, 0, 33, -189, 0, -3, -99, 0, -6, 9, 0, -3, 126, 0, -48, -243, 0, 18, 252, 0, -162, 0, 0, 6, -216, 0, 63, 0, 0, 105, -243, 0, 171, 270, 0, 129, 513, 0, 63, 333, 0, 78, 207, 0, -6, 72, 0, 0, -333, 0, 84, 207, 0, 165, 432, 0, 30, 90, 0, -126, 504, 0, -165, 72, 0, 3, 0, 0, 198, 0, 0, -3, 351, 0, 9, -261, 0, 153, 288, 0, -135, 405, 0, -45, 468, 0, 306, 261, 0, 0, -351, 0, -411, -252, 0, 0, 36, 0, -33, 63, 0, -30, -63, 0, -18, 99, 0, -123, -594, 0, 129, 117, 0, 90, -225, 0, -42, -135, 0, 219, -144, 0, -138, -180, 0, 150, -297, 0, 57, 54, 0, -42, 225, 0, 129, -126, 0, -75, -81, 0, 132, -342, 0, 15, 81, 0, -9, -189, 0, -90, -297, 0, -180, -216, 0, -144, -99, 0, -192, -180, 0, -9, 153, 0, 30, 324, 0, 156, -666, 0, 18, -108, 0, -24, -180, 0, -42, 63, 0, -114, -63, 0, -66, 324, 0, -3, -243, 0, -6, 135, 0, -102, 0, 0, -222, -324, 0, 24, 0, 0, -81, -351, 0, -81, 234, 0, 27, 432, 0, 0, 432, 0, -60, -261, 0, -24, -27, 0, 0, -279, 0, -42, 225, 0, -168, 162, 0, -27, 558, 0, -96, 423, 0, 30, 144, 0, 75, 0, 0, -33, 0, 0, -201, -108, 0, -147, -720, 0, -273, 270, 0, 81, 216, 0, -75, 99, 0, -171, -27, 0, 0, -198, 0, 120, -261, 0, 0, -144, 0, 108, -108, 0, 42, 297, 0, -135, 477, 0, -51, -378, 0, -261, 216, 0, 156, -27, 0, -6, -297, 0, -69, 72, 0, 105, 0, 0, -708, -207, 0, 120, 135, 0, 63, 117, 0, 18, -675, 0, 213, -342, 0, 75, -711, 0, -12, -135, 0, -9, -9, 0, 0, -243, 0, 0, -630, 0, -273, 135, 0, -84, 252, 0, 261, 180, 0, 120, 180, 0, -141, -333, 0, 147, -360, 0, -222, -414, 0, -78, -171, 0, 246, 117, 0, 117, 153, 0, -102, -54, 0, 117, 756, 0, 357, 0, 0, 219, -18, 0, -135, 0, 0, -111, -387, 0, -81, 513, 0, -12, 684, 0, -72, 585, 0, -21, -189, 0, 168, 180, 0, 0, -540, 0, -174, 378, 0, -96, 864, 0, 279, 54, 0, 120, 765, 0, 441, 126, 0, -99, 162, 0, -21, 0, 0, 213, 171, 0, 177, -81, 0, 144, 603, 0, 219, 342, 0, 162, 792, 0, -12, 459, 0, 0, -333, 0, 393, -360, 0, 0, 18, 0, -69, 288, 0, 81, 225, 0, 306, 333, 0, 45, -198, 0, 171, -108, 0, -411, -270, 0, 6, 90, 0, -156, -522, 0, 60, -234, 0, 90, -387, 0, -333, 351, 0, 129, -27, 0, -129, -225, 0, 12, 90, 0, -318, -423, 0, 120, 495, 0, 180, 54, 0, 57, -243, 0, 108, -513, 0, 426, -405, 0, 759, -333, 0, -9, 207, 0, -150, 72, 0, -234, -1026, 0, -357, 207, 0, -6, -504, 0, -21, -225, 0, -66, 189, 0, 21, 144, 0, -12, 18, 0, 99, 99, 0, -321, 0, 0, 75, -225, 0, 78, 0, 0, 201, -207, 0, 198, 153, 0, 156, 468, 0, 81, 702, 0, 282, -63, 0, 51, -360, 0, 0, -504, 0, 63, 315, 0, 351, 108, 0, 117, 756, 0, 90, 576, 0, -204, 234, 0, 3, 252, 0, 105, 0, 0, -12, -144, 0, -33, -621, 0, 315, 504, 0, -234, 81, 0, -186, 684, 0, 255, 504, 0, 0, -360, 0, -321, -657, 0, 0, -225, 0, -135, 126, 0, 0, -18, 0, 90, 585, 0, -261, -828, 0, 159, 180, 0, 228, -72, 0, 51, -306, 0, 405, -396, 0, -222, -306, 0, 483, -333, 0, 222, 0, 0, -117, -63, 0, 195, -639, 0, -240, -99, 0, -63, -720, 0, -249, -333, 0, -225, 162, 0, -123, 198, 0, 99, -648, 0, -204, 279, 0, -132, -153, 0, -9, 63, 0, 246, 54, 0, 423, -396, 0, 147, -90, 0, 183, -441, 0, -192, 225, 0, -396, 189, 0, -78, 360, 0, -39, -360, 0, -78, 468, 0, -423, 0, 0, -222, -261, 0, -249, 0, 0, -240, -180, 0, -522], 'weight': 2, 'weight_parity': 1}

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

{'an_normalized': [[1.0, 0.0], [0.35856500629667243, 0.30087176453661696], [0.0, 0.0], [-0.13560313262177506, -0.769043580721082], [0.3288285960822035, 0.9034491426068187], [0.0, 0.0], [-0.8762891248052279, 1.5177772862827197], [0.4167976474943102, -0.7219147019353281], [0.0, 0.0], [-0.15391591008046598, 0.42288048744088835], [0.0, 0.7204786773180347], [0.0, 0.0], [-0.16604291188089879, 0.4561991510532631], [-0.770862945850972, 0.28057116698851314], [0.0, 0.0], [-0.3671600425182495, 0.1336353266885561], [0.3710126215139597, 1.0193487999422686], [0.0, 0.0], [-0.7106926377854933, -0.7035026471858493], [0.6502015759053723, -0.3753940548764856], [0.0, 0.0], [-0.21677169095568496, 0.25833844146915935], [1.1837878971701594, -0.20873374570723702], [0.0, 0.0], [0.057952335443375004, -0.048627783296397976], [-0.19679462130159422, 0.11361942758354589], [0.0, 0.0], [1.2860644293859722, 0.46808917164504216], [0.21130402456935923, 1.1983646729522608], [0.0, 0.0], [0.0, 0.5454121091572077], [-0.9551811869253148, -0.3476575203718761], [0.0, 0.0], [-0.17366112914761533, 0.47713003097006607], [-1.6593835106320332, -0.2925940842671594], [0.0, 0.0], [0.0, 1.0682468197960033], [-0.043165427327566626, -0.46607877909162393], [0.0, 0.0], [0.7892682037746486, 0.13916927934077725], [0.10631935684848401, 0.08921253311856854], [0.0, 0.0], [0.2867296205733835, -1.626124484303714], [0.5540795018378505, -0.09769916563151854], [0.0, 0.0], [0.48726700519201677, 0.2813237366148337], [1.1986666549589946, -0.21135727214483485], [0.0, 0.0], [-1.0357652605038246, -1.793998055907438], [0.03541040648905212, 0.0], [0.0, 0.0], [0.3733529676486104, 0.06583220152402468], [-0.723464213006299, 0.6070585543035467], [0.0, 0.0], [-0.6509158432894733, 0.23691399196965227], [0.7304704914873339, 1.2652120046858715], [0.0, 0.0], [-0.28478786480926804, 0.493267051228709], [0.14139819039716964, -0.8019089865263116], [0.0, 0.0], [-0.18387254649286805, -0.06692413382213237], [-0.16409910368176703, 0.1955656963542356], [0.0, 0.0], [-0.042532438601011406, -0.0736683446267555], [-0.4667523894802261, 0.0], [0.0, 0.0], [0.2391549978627899, 0.2850138278898405], [0.7336131773918302, -0.4235517654482298], [0.0, 0.0], [-0.5069635605119336, -0.6041756445544489], [-0.8985145823595052, -0.7539432546652686], [0.0, 0.0], [0.22210411183619644, -1.2596150115189595], [-0.32140530563265296, 0.3830359276665542], [0.0, 0.0], [-0.4446520468236202, 0.6419507737207794], [-1.09352617168433, -0.6313476295878488], [0.0, 0.0], [-0.08307430108941069, -0.2282447663801304], [-0.24146544263751624, -0.28776730875061113], [0.0, 0.0], [0.011280868599669735, 0.06397698499880326], [0.2034827704674162, 0.11748083230481357], [0.0, 0.0], [-0.7989302398639189, 0.6703820696061902], [0.5920661511549924, -0.4968024890667058], [0.0, 0.0], [0.5201241495868085, 0.3002938177759691], [0.2420939829941851, 1.372983204393761], [0.0, 0.0], [-0.5469071115578777, -0.6517785150144232], [-0.3210506944320347, -0.8820795334522412], [0.0, 0.0], [0.49339135210084556, 0.28485962995125663], [0.4018828010927211, -0.8734064420785189], [0.0, 0.0], [-0.1203257156994627, 0.1433986039663042], [0.16837418350170277, -0.9548974457861831], [0.0, 0.0], [-0.0452554028176603, -0.037973791813077994]], 'angles': [-0.10129209569296628, None, 0.02425590670879051, 0.2533275338748896, 0.058652487095336166, -0.483467292484842, 0.035683576177681635, None, -0.17515740655466464, 0.07632154704276402, 0.04395932367685765, 0.08967911873416767, -0.12783544280523199, -0.31763921973910014, -0.1736477030141701, -0.439382501851695, -0.40548530104207575, -0.21004056194585333, -0.08133009958513816, -0.23862906712702642, -0.36178810420149493, -0.07493219932620912, -0.14792573209745974, 0.0949815169772917, -0.4038071167203901, -0.08421823471038217, -0.23574587329348373, -0.46207984343354686, -0.37064546992611047, -0.3318867314034339, -0.31865785972906013, -0.14207615958405542, -0.40090992188628893, -0.2020337718657058, -0.3896816954470372, -0.3257602879182717, -0.22934215490365653, -0.4047104179581132, -0.015673439831193316, -0.12871108064965725, -0.4892062752602791, -0.4356302957015433, -0.25593935193606676, -0.4724069361023467, -0.309427010073981, -0.09351140742316938, -0.3376572893690456, -0.38676301606846913, 0.04596964699215953, -0.4598757237097298, -0.3735003659645336, -0.49576532281611724, 0.05376557593637049, -0.07806630830114251, -0.24742517424830388, 0.11479057366535236, -0.4332592943781748, -0.4921774650523189, -0.3195690248061588, -0.31278119280825495, -0.4447797877687048, 0.019079064736064275, -0.11371409138360372, 0.04071398434188664, 0.016291666370741757, -0.2434834472869014, -0.45046848733523526, -0.45832021886886515, -0.465162512143815, -0.45742688222250677, 0.11570925298424829, -0.4573616489683345, -0.30629038234430456, -0.4970448485846526, -0.45686247589429607, -0.013135924458219846, -0.29082823900414734, -0.23290756832985574, -0.41960832245813035, -0.14549812984171437, -0.13812893157508677, 0.01625146925176601, 0.04655131758310496, -0.4897485790534211, -0.29674498186613485, -0.14735277860767879, -0.0008561559334269616, -0.48164453200150015, -0.2962655736647737, -0.17280309754192213, -0.19715926308156762, -0.3523253643510453, -0.29336669043284236, -0.3122198034676755, -0.2778172170151875, -0.3789911377098096, -0.4241674716047745, -0.2945328061107554, 0.11248638621513306, -0.19221994820686397], 'char_orbit_index': 41, 'conrey_index': 71, 'dual_conrey_index': 224, 'dual_embedding_index': 11, 'dual_embedding_m': 83, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 1, 'hecke_orbit_code': 2748812624385, 'label': '513.2.bo.a.71.11', 'level': 513, 'weight': 2}

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

{'Nk2': 2052, 'analytic_conductor': 4.096325623691683, 'char_conductor': 171, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 41, 'char_orbit_label': 'bo', 'char_order': 18, 'char_parity': 1, 'char_values': [513, 18, [191, 325], [15, 7]], 'conrey_index': 71, 'cusp_dim': 324, 'dim': 108, 'eis_dim': 72, 'eis_new_dim': 24, 'hecke_cutter_primes': [], 'hecke_orbit_code': 2748812624385, 'hecke_orbit_dims': [108], 'label': '513.2.bo', 'level': 513, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 19], 'level_radical': 57, 'mf_dim': 396, 'mf_new_dim': 132, 'num_forms': 1, 'prim_orbit_index': 24, 'relative_dim': 18, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [9, 0, 9, 3], 'traces': [108, 9, 0, -3, 9, 0, 3, 0, 0, -12, 0, 0, -6, 9, 0, -9, -27, 0, -15, 18, 0, 30, 45, 0, -3, 72, 0, -36, 9, 0, 0, 9, 0, 33, -45, 0, 0, 9, 0, 15, 9, 0, 9, 63, 0, -18, 9, 0, -15, -126, 0, -39, 0, 0, 3, -63, 0, -6, -36, 0, -24, -18, 0, 0, 18, 0, -63, -54, 0, 39, 0, 0, -45, 117, 0, -3, 18, 0, 3, -126, 0, -3, -27, 0, -3, 171, 0, -9, -54, 0, -9, 27, 0, 0, -99, 0, -57, 27, 0, -48, -18, 0, -9, 45, 0, -6, 81, 0, -12, -270, 0, 69, -45, 0, -24, -108, 0, -21, -99, 0, 6, 9, 0, 15, 108, 0, 6, -189, 0, -12, 81, 0, 66, 0, 0, 78, 9, 0, -78, 0, 0, -75, -180, 0, -18, 126, 0, 21, 117, 0, 0, 162, 0, -12, -63, 0, -15, -99, 0, 0, -99, 0, -6, 153, 0, -105, 108, 0, 18, 360, 0, 30, 270, 0, 123, 144, 0, -51, 0, 0, -12, 0, 0, 57, 18, 0, 84, -351, 0, -75, 54, 0, -18, 216, 0, 75, 90, 0, 9, 135, 0, 0, -171, 0, 24, -90, 0, 0, -90, 0, -45, -45, 0, 9, 0, 0, -9, 198, 0, 141, -306, 0, 21, 117, 0, -126, -45, 0, -6, -270, 0, -3, 81, 0, -6, 18, 0, 111, 9, 0, -72, 0, 0, 132, 144, 0, 0, -288, 0, -57, -99, 0, -69, -315, 0, 33, 63, 0, 54, 9, 0, -12, -81, 0, -81, -171, 0, 225, 126, 0, 51, -144, 0, -9, 72, 0, -66, 198, 0, -33, -126, 0, -111, -279, 0, 33, -189, 0, -3, -99, 0, -6, 9, 0, -3, 126, 0, -48, -243, 0, 18, 252, 0, -162, 0, 0, 6, -216, 0, 63, 0, 0, 105, -243, 0, 171, 270, 0, 129, 513, 0, 63, 333, 0, 78, 207, 0, -6, 72, 0, 0, -333, 0, 84, 207, 0, 165, 432, 0, 30, 90, 0, -126, 504, 0, -165, 72, 0, 3, 0, 0, 198, 0, 0, -3, 351, 0, 9, -261, 0, 153, 288, 0, -135, 405, 0, -45, 468, 0, 306, 261, 0, 0, -351, 0, -411, -252, 0, 0, 36, 0, -33, 63, 0, -30, -63, 0, -18, 99, 0, -123, -594, 0, 129, 117, 0, 90, -225, 0, -42, -135, 0, 219, -144, 0, -138, -180, 0, 150, -297, 0, 57, 54, 0, -42, 225, 0, 129, -126, 0, -75, -81, 0, 132, -342, 0, 15, 81, 0, -9, -189, 0, -90, -297, 0, -180, -216, 0, -144, -99, 0, -192, -180, 0, -9, 153, 0, 30, 324, 0, 156, -666, 0, 18, -108, 0, -24, -180, 0, -42, 63, 0, -114, -63, 0, -66, 324, 0, -3, -243, 0, -6, 135, 0, -102, 0, 0, -222, -324, 0, 24, 0, 0, -81, -351, 0, -81, 234, 0, 27, 432, 0, 0, 432, 0, -60, -261, 0, -24, -27, 0, 0, -279, 0, -42, 225, 0, -168, 162, 0, -27, 558, 0, -96, 423, 0, 30, 144, 0, 75, 0, 0, -33, 0, 0, -201, -108, 0, -147, -720, 0, -273, 270, 0, 81, 216, 0, -75, 99, 0, -171, -27, 0, 0, -198, 0, 120, -261, 0, 0, -144, 0, 108, -108, 0, 42, 297, 0, -135, 477, 0, -51, -378, 0, -261, 216, 0, 156, -27, 0, -6, -297, 0, -69, 72, 0, 105, 0, 0, -708, -207, 0, 120, 135, 0, 63, 117, 0, 18, -675, 0, 213, -342, 0, 75, -711, 0, -12, -135, 0, -9, -9, 0, 0, -243, 0, 0, -630, 0, -273, 135, 0, -84, 252, 0, 261, 180, 0, 120, 180, 0, -141, -333, 0, 147, -360, 0, -222, -414, 0, -78, -171, 0, 246, 117, 0, 117, 153, 0, -102, -54, 0, 117, 756, 0, 357, 0, 0, 219, -18, 0, -135, 0, 0, -111, -387, 0, -81, 513, 0, -12, 684, 0, -72, 585, 0, -21, -189, 0, 168, 180, 0, 0, -540, 0, -174, 378, 0, -96, 864, 0, 279, 54, 0, 120, 765, 0, 441, 126, 0, -99, 162, 0, -21, 0, 0, 213, 171, 0, 177, -81, 0, 144, 603, 0, 219, 342, 0, 162, 792, 0, -12, 459, 0, 0, -333, 0, 393, -360, 0, 0, 18, 0, -69, 288, 0, 81, 225, 0, 306, 333, 0, 45, -198, 0, 171, -108, 0, -411, -270, 0, 6, 90, 0, -156, -522, 0, 60, -234, 0, 90, -387, 0, -333, 351, 0, 129, -27, 0, -129, -225, 0, 12, 90, 0, -318, -423, 0, 120, 495, 0, 180, 54, 0, 57, -243, 0, 108, -513, 0, 426, -405, 0, 759, -333, 0, -9, 207, 0, -150, 72, 0, -234, -1026, 0, -357, 207, 0, -6, -504, 0, -21, -225, 0, -66, 189, 0, 21, 144, 0, -12, 18, 0, 99, 99, 0, -321, 0, 0, 75, -225, 0, 78, 0, 0, 201, -207, 0, 198, 153, 0, 156, 468, 0, 81, 702, 0, 282, -63, 0, 51, -360, 0, 0, -504, 0, 63, 315, 0, 351, 108, 0, 117, 756, 0, 90, 576, 0, -204, 234, 0, 3, 252, 0, 105, 0, 0, -12, -144, 0, -33, -621, 0, 315, 504, 0, -234, 81, 0, -186, 684, 0, 255, 504, 0, 0, -360, 0, -321, -657, 0, 0, -225, 0, -135, 126, 0, 0, -18, 0, 90, 585, 0, -261, -828, 0, 159, 180, 0, 228, -72, 0, 51, -306, 0, 405, -396, 0, -222, -306, 0, 483, -333, 0, 222, 0, 0, -117, -63, 0, 195, -639, 0, -240, -99, 0, -63, -720, 0, -249, -333, 0, -225, 162, 0, -123, 198, 0, 99, -648, 0, -204, 279, 0, -132, -153, 0, -9, 63, 0, 246, 54, 0, 423, -396, 0, 147, -90, 0, 183, -441, 0, -192, 225, 0, -396, 189, 0, -78, 360, 0, -39, -360, 0, -78, 468, 0, -423, 0, 0, -222, -261, 0, -249, 0, 0, -240, -180, 0, -522], '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: 26979305
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 71, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 2748812624385, 'target_is_minimal': False, 'target_label': '513.2.bo.a.71.11', 'target_level': 513, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 26979306
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 14, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1580581519531, 'target_is_minimal': True, 'target_label': '171.2.x.a.14.8', 'target_level': 171, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 26979307
{'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 413, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 3779604775425, 'target_is_minimal': False, 'target_label': '513.2.cd.a.413.8', 'target_level': 513, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 26979308
{'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 128, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1992898379947, 'target_is_minimal': True, 'target_label': '171.2.bd.a.128.11', 'target_level': 171, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
id: 26979309
{'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 395, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 3779604775425, 'target_is_minimal': False, 'target_label': '513.2.cd.a.395.8', 'target_level': 513, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '19.15', 'twisting_conrey_index': 15, 'weight': 2}
id: 26979310
{'conductor': 57, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 167, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1992898379947, 'target_is_minimal': True, 'target_label': '171.2.bd.a.167.11', 'target_level': 171, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '57.53', 'twisting_conrey_index': 53, 'weight': 2}
id: 26979311
{'conductor': 171, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 110, 'target_dim': 108, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1580581519531, 'target_is_minimal': True, 'target_label': '171.2.x.a.110.8', 'target_level': 171, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '171.34', 'twisting_conrey_index': 34, 'weight': 2}
id: 26979312
{'conductor': 171, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 71, 'source_dim': 108, 'source_embedding_index': 11, 'source_hecke_orbit_code': 2748812624385, 'source_is_minimal': False, 'source_label': '513.2.bo.a.71.11', 'source_level': 513, 'target_conrey_index': 224, 'target_dim': 108, 'target_embedding_index': 11, 'target_hecke_orbit_code': 2748812624385, 'target_is_minimal': False, 'target_label': '513.2.bo.a.224.11', 'target_level': 513, 'twist_class_label': '171.2.x.a.14.8', 'twist_class_level': 171, 'twisting_char_label': '171.110', 'twisting_conrey_index': 110, 'weight': 2}

hecke_orbit_code 2748812624385 does not appear in mf_hecke_charpolys

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': 41, 'hecke_orbit': 1, 'label': '513.2.bo.a', 'level': 513, 'portrait': 'data:image/png;base64,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', 'weight': 2}

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: 14708646
{'hecke_orbit_code': 2748812624385, 'n': 1, 'trace_an': 108}
id: 14708647
{'hecke_orbit_code': 2748812624385, 'n': 2, 'trace_an': 9}
id: 14708648
{'hecke_orbit_code': 2748812624385, 'n': 3, 'trace_an': 0}
id: 14708649
{'hecke_orbit_code': 2748812624385, 'n': 4, 'trace_an': -3}
id: 14708650
{'hecke_orbit_code': 2748812624385, 'n': 5, 'trace_an': 9}
id: 14708651
{'hecke_orbit_code': 2748812624385, 'n': 6, 'trace_an': 0}
id: 14708652
{'hecke_orbit_code': 2748812624385, 'n': 7, 'trace_an': 3}
id: 14708653
{'hecke_orbit_code': 2748812624385, 'n': 8, 'trace_an': 0}
id: 14708654
{'hecke_orbit_code': 2748812624385, 'n': 9, 'trace_an': 0}
id: 14708655
{'hecke_orbit_code': 2748812624385, 'n': 10, 'trace_an': -12}
id: 14708656
{'hecke_orbit_code': 2748812624385, 'n': 11, 'trace_an': 0}
id: 14708657
{'hecke_orbit_code': 2748812624385, 'n': 12, 'trace_an': 0}
id: 14708658
{'hecke_orbit_code': 2748812624385, 'n': 13, 'trace_an': -6}
id: 14708659
{'hecke_orbit_code': 2748812624385, 'n': 14, 'trace_an': 9}
id: 14708660
{'hecke_orbit_code': 2748812624385, 'n': 15, 'trace_an': 0}
id: 14708661
{'hecke_orbit_code': 2748812624385, 'n': 16, 'trace_an': -9}
id: 14708662
{'hecke_orbit_code': 2748812624385, 'n': 17, 'trace_an': -27}
id: 14708663
{'hecke_orbit_code': 2748812624385, 'n': 18, 'trace_an': 0}
id: 14708664
{'hecke_orbit_code': 2748812624385, 'n': 19, 'trace_an': -15}
id: 14708665
{'hecke_orbit_code': 2748812624385, 'n': 20, 'trace_an': 18}
id: 14708666
{'hecke_orbit_code': 2748812624385, 'n': 21, 'trace_an': 0}
id: 14708667
{'hecke_orbit_code': 2748812624385, 'n': 22, 'trace_an': 30}
id: 14708668
{'hecke_orbit_code': 2748812624385, 'n': 23, 'trace_an': 45}
id: 14708669
{'hecke_orbit_code': 2748812624385, 'n': 24, 'trace_an': 0}
id: 14708670
{'hecke_orbit_code': 2748812624385, 'n': 25, 'trace_an': -3}
id: 14708671
{'hecke_orbit_code': 2748812624385, 'n': 26, 'trace_an': 72}
id: 14708672
{'hecke_orbit_code': 2748812624385, 'n': 27, 'trace_an': 0}
id: 14708673
{'hecke_orbit_code': 2748812624385, 'n': 28, 'trace_an': -36}
id: 14708674
{'hecke_orbit_code': 2748812624385, 'n': 29, 'trace_an': 9}
id: 14708675
{'hecke_orbit_code': 2748812624385, 'n': 30, 'trace_an': 0}
id: 14708676
{'hecke_orbit_code': 2748812624385, 'n': 31, 'trace_an': 0}
id: 14708677
{'hecke_orbit_code': 2748812624385, 'n': 32, 'trace_an': 9}
id: 14708678
{'hecke_orbit_code': 2748812624385, 'n': 33, 'trace_an': 0}
id: 14708679
{'hecke_orbit_code': 2748812624385, 'n': 34, 'trace_an': 33}
id: 14708680
{'hecke_orbit_code': 2748812624385, 'n': 35, 'trace_an': -45}
id: 14708681
{'hecke_orbit_code': 2748812624385, 'n': 36, 'trace_an': 0}
id: 14708682
{'hecke_orbit_code': 2748812624385, 'n': 37, 'trace_an': 0}
id: 14708683
{'hecke_orbit_code': 2748812624385, 'n': 38, 'trace_an': 9}
id: 14708684
{'hecke_orbit_code': 2748812624385, 'n': 39, 'trace_an': 0}
id: 14708685
{'hecke_orbit_code': 2748812624385, 'n': 40, 'trace_an': 15}
id: 14708686
{'hecke_orbit_code': 2748812624385, 'n': 41, 'trace_an': 9}
id: 14708687
{'hecke_orbit_code': 2748812624385, 'n': 42, 'trace_an': 0}
id: 14708688
{'hecke_orbit_code': 2748812624385, 'n': 43, 'trace_an': 9}
id: 14708689
{'hecke_orbit_code': 2748812624385, 'n': 44, 'trace_an': 63}
id: 14708690
{'hecke_orbit_code': 2748812624385, 'n': 45, 'trace_an': 0}
id: 14708691
{'hecke_orbit_code': 2748812624385, 'n': 46, 'trace_an': -18}
id: 14708692
{'hecke_orbit_code': 2748812624385, 'n': 47, 'trace_an': 9}
id: 14708693
{'hecke_orbit_code': 2748812624385, 'n': 48, 'trace_an': 0}
id: 14708694
{'hecke_orbit_code': 2748812624385, 'n': 49, 'trace_an': -15}
id: 14708695
{'hecke_orbit_code': 2748812624385, 'n': 50, 'trace_an': -126}
id: 14708696
{'hecke_orbit_code': 2748812624385, 'n': 51, 'trace_an': 0}
id: 14708697
{'hecke_orbit_code': 2748812624385, 'n': 52, 'trace_an': -39}
id: 14708698
{'hecke_orbit_code': 2748812624385, 'n': 53, 'trace_an': 0}
id: 14708699
{'hecke_orbit_code': 2748812624385, 'n': 54, 'trace_an': 0}
id: 14708700
{'hecke_orbit_code': 2748812624385, 'n': 55, 'trace_an': 3}
id: 14708701
{'hecke_orbit_code': 2748812624385, 'n': 56, 'trace_an': -63}
id: 14708702
{'hecke_orbit_code': 2748812624385, 'n': 57, 'trace_an': 0}
id: 14708703
{'hecke_orbit_code': 2748812624385, 'n': 58, 'trace_an': -6}
id: 14708704
{'hecke_orbit_code': 2748812624385, 'n': 59, 'trace_an': -36}
id: 14708705
{'hecke_orbit_code': 2748812624385, 'n': 60, 'trace_an': 0}
id: 14708706
{'hecke_orbit_code': 2748812624385, 'n': 61, 'trace_an': -24}
id: 14708707
{'hecke_orbit_code': 2748812624385, 'n': 62, 'trace_an': -18}
id: 14708708
{'hecke_orbit_code': 2748812624385, 'n': 63, 'trace_an': 0}
id: 14708709
{'hecke_orbit_code': 2748812624385, 'n': 64, 'trace_an': 0}
id: 14708710
{'hecke_orbit_code': 2748812624385, 'n': 65, 'trace_an': 18}
id: 14708711
{'hecke_orbit_code': 2748812624385, 'n': 66, 'trace_an': 0}
id: 14708712
{'hecke_orbit_code': 2748812624385, 'n': 67, 'trace_an': -63}
id: 14708713
{'hecke_orbit_code': 2748812624385, 'n': 68, 'trace_an': -54}
id: 14708714
{'hecke_orbit_code': 2748812624385, 'n': 69, 'trace_an': 0}
id: 14708715
{'hecke_orbit_code': 2748812624385, 'n': 70, 'trace_an': 39}
id: 14708716
{'hecke_orbit_code': 2748812624385, 'n': 71, 'trace_an': 0}
id: 14708717
{'hecke_orbit_code': 2748812624385, 'n': 72, 'trace_an': 0}
id: 14708718
{'hecke_orbit_code': 2748812624385, 'n': 73, 'trace_an': -45}
id: 14708719
{'hecke_orbit_code': 2748812624385, 'n': 74, 'trace_an': 117}
id: 14708720
{'hecke_orbit_code': 2748812624385, 'n': 75, 'trace_an': 0}
id: 14708721
{'hecke_orbit_code': 2748812624385, 'n': 76, 'trace_an': -3}
id: 14708722
{'hecke_orbit_code': 2748812624385, 'n': 77, 'trace_an': 18}
id: 14708723
{'hecke_orbit_code': 2748812624385, 'n': 78, 'trace_an': 0}
id: 14708724
{'hecke_orbit_code': 2748812624385, 'n': 79, 'trace_an': 3}
id: 14708725
{'hecke_orbit_code': 2748812624385, 'n': 80, 'trace_an': -126}
id: 14708726
{'hecke_orbit_code': 2748812624385, 'n': 81, 'trace_an': 0}
id: 14708727
{'hecke_orbit_code': 2748812624385, 'n': 82, 'trace_an': -3}
id: 14708728
{'hecke_orbit_code': 2748812624385, 'n': 83, 'trace_an': -27}
id: 14708729
{'hecke_orbit_code': 2748812624385, 'n': 84, 'trace_an': 0}
id: 14708730
{'hecke_orbit_code': 2748812624385, 'n': 85, 'trace_an': -3}
id: 14708731
{'hecke_orbit_code': 2748812624385, 'n': 86, 'trace_an': 171}
id: 14708732
{'hecke_orbit_code': 2748812624385, 'n': 87, 'trace_an': 0}
id: 14708733
{'hecke_orbit_code': 2748812624385, 'n': 88, 'trace_an': -9}
id: 14708734
{'hecke_orbit_code': 2748812624385, 'n': 89, 'trace_an': -54}
id: 14708735
{'hecke_orbit_code': 2748812624385, 'n': 90, 'trace_an': 0}
id: 14708736
{'hecke_orbit_code': 2748812624385, 'n': 91, 'trace_an': -9}
id: 14708737
{'hecke_orbit_code': 2748812624385, 'n': 92, 'trace_an': 27}
id: 14708738
{'hecke_orbit_code': 2748812624385, 'n': 93, 'trace_an': 0}
id: 14708739
{'hecke_orbit_code': 2748812624385, 'n': 94, 'trace_an': 0}
id: 14708740
{'hecke_orbit_code': 2748812624385, 'n': 95, 'trace_an': -99}
id: 14708741
{'hecke_orbit_code': 2748812624385, 'n': 96, 'trace_an': 0}
id: 14708742
{'hecke_orbit_code': 2748812624385, 'n': 97, 'trace_an': -57}
id: 14708743
{'hecke_orbit_code': 2748812624385, 'n': 98, 'trace_an': 27}
id: 14708744
{'hecke_orbit_code': 2748812624385, 'n': 99, 'trace_an': 0}
id: 14708745
{'hecke_orbit_code': 2748812624385, 'n': 100, 'trace_an': -48}

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.