LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-08-10T17:08:47.783038

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': 1520, 'analytic_conductor': 3.0343152768086545, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 95, 'char_degree': 12, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 34, 'char_orbit_label': 'bh', 'char_order': 36, 'char_parity': 1, 'char_values': [380, 36, [191, 77, 21], [36, 27, 10]], 'cm_discs': [], 'conrey_index': 13, 'dim': 120, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 2267776287100, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 19, 6, -1, 18, 0], [1, 1, 95, 18, 1, 36, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '380.2.bh.a', 'level': 380, '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': [2, 5, 19], 'level_radical': 190, 'minimal_twist': '380.2.bh.a', 'prim_orbit_index': 18, 'related_objects': [], 'relative_dim': 10, 'rm_discs': [], 'sato_tate_group': '1.2.3.c36', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '380.2.bh', 'trace_display': [0, 0, 0, 6], 'traces': [120, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 18, 0, -18, 0, 0, 0, 48, 0, -36, 0, -24, 0, 0, 0, 0, 0, 0, 0, -60, 0, -18, 0, 0, 0, 0, 0, -12, 0, -36, 0, 18, 0, -24, 0, 0, 0, 96, 0, -18, 0, 72, 0, -6, 0, 0, 0, -24, 0, 36, 0, 90, 0, -24, 0, 0, 0, 0, 0, 18, 0, 0, 0, -36, 0, 0, 0, 0, 0, -30, 0, -24, 0, -72, 0, 0, 0, -144, 0, -132, 0, -12, 0, -60, 0, 0, 0, -96, 0, -54, 0, -72, 0, -72, 0, 0, 0, -288, 0, 0, 0, -108, 0, 114, 0, 0, 0, -168, 0, 36, 0, 12, 0, -168, 0, 0, 0, -96, 0, 72, 0, -24, 0, 42, 0, 0, 0, 0, 0, 120, 0, -72, 0, 36, 0, 0, 0, 0, 0, 180, 0, 126, 0, 48, 0, 0, 0, -12, 0, -36, 0, -48, 0, 318, 0, 0, 0, 132, 0, 60, 0, 264, 0, 114, 0, 0, 0, 72, 0, 216, 0, 30, 0, 300, 0, 0, 0, 312, 0, 150, 0, 6, 0, 150, 0, 0, 0, 120, 0, 96, 0, 174, 0, 72, 0, 0, 0, 288, 0, -84, 0, 12, 0, 72, 0, 0, 0, 72, 0, -138, 0, 78, 0, 0, 0, 0, 0, -156, 0, -54, 0, 120, 0, -78, 0, 0, 0, 192, 0, -264, 0, 108, 0, -180, 0, 0, 0, -108, 0, 96, 0, 54, 0, -138, 0, 0, 0, -24, 0, -108, 0, 0, 0, -504, 0, 0, 0, -72, 0, -210, 0, -126, 0, -102, 0, 0, 0, -276, 0, -48, 0, -180, 0, -336, 0, 0, 0, 60, 0, -252, 0, -144, 0, -378, 0, 0, 0, -240, 0, 0, 0, -192, 0, 108, 0, 0, 0, -132, 0, 6, 0, -84, 0, -264, 0, 0, 0, 120, 0, 132, 0, -228, 0, 216, 0, 0, 0, 0, 0, -60, 0, -396, 0, 96, 0, 0, 0, 0, 0, 252, 0, -192, 0, -30, 0, 0, 0, 300, 0, 168, 0, -336, 0, 450, 0, 0, 0, 240, 0, 276, 0, -54, 0, 30, 0, 0, 0, -24, 0, 72, 0, 198, 0, 342, 0, 0, 0, 288, 0, -330, 0, 72, 0, 378, 0, 0, 0, 60, 0, 156, 0, 204, 0, -18, 0, 0, 0, 264, 0, -234, 0, -48, 0, 108, 0, 0, 0, 684, 0, -24, 0, 258, 0, 0, 0, 0, 0, -144, 0, 30, 0, 180, 0, -96, 0, 0, 0, 384, 0, -432, 0, -18, 0, -228, 0, 0, 0, -492, 0, -228, 0, 54, 0, 60, 0, 0, 0, -288, 0, -390, 0, 0, 0, -492, 0, 0, 0, -60, 0, -78, 0, 36, 0, -6, 0, 0, 0, -1116, 0, 18, 0, -252, 0, -420, 0, 0, 0, -204, 0, 54, 0, 96, 0, -180, 0, 0, 0, -348, 0, 0, 0, -504, 0, 18, 0, 0, 0, -288, 0, 270, 0, -132, 0, -462, 0, 0, 0, -288, 0, 144, 0, -246, 0, 342, 0, 0, 0, -432, 0, 144, 0, -72, 0, 246, 0, 0, 0, 0, 0, 492, 0, 78, 0, 264, 0, 0, 0, -24, 0, 84, 0, -60, 0, 714, 0, 0, 0, 276, 0, 318, 0, 420, 0, 186, 0, 0, 0, 384, 0, 396, 0, 138, 0, 774, 0, 0, 0, 552, 0, 252, 0, 174, 0, 264, 0, 0, 0, 300, 0, 540, 0, 768, 0, 426, 0, 0, 0, 360, 0, 114, 0, 384, 0, 378, 0, 0, 0, 360, 0, 294, 0, 558, 0, 0, 0, 0, 0, -96, 0, 228, 0, 216, 0, 78, 0, 0, 0, 444, 0, -270, 0, 132, 0, -414, 0, 0, 0, -120, 0, 132, 0, 144, 0, -372, 0, 0, 0, -372, 0, -342, 0, 0, 0, -756, 0, 0, 0, -192, 0, -192, 0, 66, 0, -276, 0, 0, 0, -432, 0, -90, 0, 36, 0, -600, 0, 0, 0, 168, 0, 108, 0, -258, 0, -378, 0, 0, 0, -612, 0, 0, 0, -492, 0, 0, 0, 0, 0, -384, 0, 144, 0, -36, 0, -468, 0, 0, 0, -192, 0, 108, 0, -570, 0, 576, 0, 0, 0, -396, 0, -186, 0, -504, 0, 108, 0, 0, 0, 0, 0, 204, 0, 150, 0, 102, 0, 0, 0, -48, 0, 180, 0, -882, 0, 648, 0, 0, 0, 144, 0, 252, 0, -138, 0, -162, 0, 0, 0, 108, 0, -72, 0, -204, 0, 474, 0, 0, 0, 432, 0, -444, 0, 36, 0, 354, 0, 0, 0, 132, 0, 42, 0, 312, 0, 318, 0, 0, 0, 408, 0, -648, 0, -78, 0, 36, 0, 0, 0, 144, 0, -252, 0, 546, 0, 0, 0, 0, 0, -60, 0, -546, 0, 342, 0, -630, 0, 0, 0, 396, 0, -930, 0, -114, 0, -186, 0, 0, 0, -516, 0, -534, 0, 18, 0, -192, 0, 0, 0, -24, 0, -636, 0, 0, 0, -996, 0, 0, 0, -72, 0, -432, 0, -552, 0, -204, 0, 0, 0, -924, 0, -36, 0, -246, 0, -534, 0, 0, 0, -492, 0, -234, 0, 60, 0, -846, 0, 0, 0, -288, 0, 0, 0, -180, 0, 372, 0, 0, 0, -312, 0, -234, 0, -210, 0, -516, 0, 0, 0, -372, 0, 90, 0, -174, 0, 648, 0, 0, 0, -216, 0, 654, 0, -126, 0, 186, 0, 0, 0, 0, 0, 516, 0, 726, 0, -108, 0, 0, 0, 1008, 0, 186, 0, -198, 0, 1326, 0, 0, 0, 528, 0, 498, 0, 402, 0, 414, 0, 0, 0, 564, 0, 306, 0, 330, 0, 432, 0, 0, 0, 1416, 0, -300, 0, -36, 0, 612, 0, 0, 0, 204, 0, 612, 0, 624, 0, 168, 0, 0, 0, 1164, 0, 96, 0, 594, 0, 198, 0, 0, 0, 1440, 0, -174, 0, 426, 0, 0, 0, 0, 0, -96, 0, 24, 0, 84, 0, -414, 0, 0, 0], '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], [0.0, 0.0], [-0.8175032820938228, 0.38120804100719574], [0.0, 0.0], [-0.42480339933808015, 0.9052856300145339], [0.0, 0.0], [-0.4238611807440443, -1.5818714618929082], [0.0, 0.0], [-0.1197955639809106, 0.14276679375109974], [0.0, 0.0], [-0.18919357607601117, -0.327692886229299], [0.0, 0.0], [0.5336020373013607, -1.1443132617907676], [0.0, 0.0], [0.002176011633687927, -0.9020124454441227], [0.0, 0.0], [0.017634792526048847, -0.20156660092108314], [0.0, 0.0], [0.8803756348396774, -0.474277072585883], [0.0, 0.0], [0.9495300275238038, 1.1316058215775722], [0.0, 0.0], [0.12254509131335725, -0.08580699670820997], [0.0, 0.0], [-0.6390841438216233, -0.769136826004179], [0.0, 0.0], [0.27696809609009515, -1.033659006683854], [0.0, 0.0], [-0.5996635309147035, -0.5031774476209931], [0.0, 0.0], [-1.1637133529554025, -0.6718702175883635], [0.0, 0.0], [0.27958553260467145, 0.19576789750416754], [0.0, 0.0], [1.6121031734092557, 0.28826893827942934], [0.0, 0.0], [0.21666483483971716, 0.21666483483971716], [0.0, 0.0], [0.0, 1.1388932345745408], [0.0, 0.0], [-0.44280703156011525, 1.216602320387147], [0.0, 0.0], [1.0253193682345927, -1.4643078120183177], [0.0, 0.0], [-0.07835516402140606, -0.1690970219094708], [0.0, 0.0], [-1.3872662272152605, 0.12137006817371397], [0.0, 0.0], [-1.4566336176250327, 0.840987811246471], [0.0, 0.0], [0.062422308300516774, 0.17150388252590468], [0.0, 0.0], [-0.7542445174208124, -1.0771728041507014], [0.0, 0.0], [0.3770257352113891, -0.03206917370356148], [0.0, 0.0], [-0.5389117372217772, 0.7233293345685093], [0.0, 0.0], [-0.3823337140377001, 0.3208160784356738], [0.0, 0.0], [-0.16803238865909118, 0.9529590309092407], [0.0, 0.0], [0.27661540593766293, 0.1289878821523859], [0.0, 0.0], [0.8092543927948984, 0.9691704200317657], [0.0, 0.0], [0.07533975280465414, 0.8611373150343073], [0.0, 0.0], [-0.06747069723330916, 0.11686267563018835], [0.0, 0.0], [1.3812282296497636, -0.24354780340344107], [0.0, 0.0], [0.14015337612111894, 0.30055988502451875], [0.0, 0.0], [0.8156545278158432, 0.38514786513264], [0.0, 0.0], [-0.43817621244668137, 0.43817621244668137], [0.0, 0.0], [-0.581274775453898, -0.21156671619498946], [0.0, 0.0], [0.13525419262586297, 0.7670646436661283], [0.0, 0.0], [0.7926508938039453, -0.21239016687457474], [0.0, 0.0], [0.17498402749304356, 0.10159070152641804], [0.0, 0.0], [0.6820421937613403, 0.18275265502230248], [0.0, 0.0], [0.3512579354480179, -0.12784743305287766], [0.0, 0.0], [-2.036329681870386, -0.35905986453123423], [0.0, 0.0], [1.2074618149153873, 0.10563922044553384], [0.0, 0.0], [0.05536965608304462, 0.9984659238978791], [0.0, 0.0], [-0.5531861433354834, -0.04839751636148168], [0.0, 0.0], [0.06944821384959199, 0.012245593863694356], [0.0, 0.0]], 'angles': [None, -0.3939120687435324, None, -0.3889762940402236, -0.11362701658233795, -0.32181536586100445, -0.46998208616266535, None, -0.33530630844975373, -0.20289388813156436, -0.283921038067573, -0.10052023044650463, 0.16761497590146807, -0.22679429580375612, -0.38647088474618346, -0.48303076966836583, -0.40125255867179194, 0.10815512302545349, 0.057244743716516465, -0.15408660946549563, -0.042931622587414744, -0.24449010735350893, -0.22437756328695496, -0.2756334649608342, -0.28088882273309906, -0.07729365419287068, -0.3067867505781468, -0.36998771781617823, -0.00015031766979903806, -0.400799719146878, -0.3075158097300166, -0.4178717442536539, -0.12785876294198972, -0.0396135539576007, -0.3275202636232976, 0.0033538363141573345, -0.05931418348978495, -0.4899671562339194, -0.30597039372181833, 0.13794351119546555, -0.15295878469614083, -0.3899802094331858, -0.06810749019179425, -0.11242682585976184, -0.37496426708911973, -0.32463765901709246, -0.15406268512203067, -0.24160734253512736, -0.1084385299937736, -0.35803263699880533, -0.3944462527940199, -0.3557196317021203, 0.02482625936987204, 0.20237697934487678, 0.03561440562632077, -0.11392484167480589, -0.15171087667250444, 0.053708647046351685, -0.12512133141273146, -0.3685656985855719, -0.1040207077372098, -0.16413428968733426, -0.06063348415329605, -0.46498837698268336, 0.002778422837596107, -0.15535643617003675, -0.3438077223468511, 0.2636771596557695, -0.2551012526592502, -0.13096890099939176, 0.13308746128987298, -0.0034153403710254515, -0.3567004927849288, 0.09286320177983537, -0.22914097884203435, -0.3432980477504907, -0.3413311485658532, 0.04397321706510607, 0.002591356248734571, -0.25392080124069705, 0.20074895704342677, -0.2976997336604583, -0.47872577113028714, -0.16211961004037817, -0.4093616438057176, -0.25275918859012486, -0.21210435473345876, -0.3334134365973644, -0.4604530491755746, -0.32793163336927506, -0.1420962426218282, -0.21683278403849254, -0.31813548403193753, -0.26195779281888865, -0.31141595410627726, -0.4725688740793737, -0.2613219128953496, -0.33235560038180517, -0.2569239660948258, -0.09232001745477342], 'char_orbit_index': 34, 'conrey_index': 13, 'dual_conrey_index': 117, 'dual_embedding_index': 3, 'dual_embedding_m': 43, 'embedding_index': 3, 'embedding_m': 3, 'hecke_orbit': 1, 'hecke_orbit_code': 2267776287100, 'label': '380.2.bh.a.13.3', 'level': 380, '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': 1520, 'analytic_conductor': 3.0343152768086545, 'char_conductor': 95, 'char_degree': 12, 'char_is_real': False, 'char_orbit_index': 34, 'char_orbit_label': 'bh', 'char_order': 36, 'char_parity': 1, 'char_values': [380, 36, [191, 77, 21], [36, 27, 10]], 'conrey_index': 13, 'cusp_dim': 648, 'dim': 120, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 2267776287100, 'hecke_orbit_dims': [120], 'label': '380.2.bh', 'level': 380, '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': [2, 5, 19], 'level_radical': 190, 'mf_dim': 792, 'mf_new_dim': 120, 'num_forms': 1, 'prim_orbit_index': 18, 'relative_dim': 10, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [0, 0, 0, 6], 'traces': [120, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 18, 0, -18, 0, 0, 0, 48, 0, -36, 0, -24, 0, 0, 0, 0, 0, 0, 0, -60, 0, -18, 0, 0, 0, 0, 0, -12, 0, -36, 0, 18, 0, -24, 0, 0, 0, 96, 0, -18, 0, 72, 0, -6, 0, 0, 0, -24, 0, 36, 0, 90, 0, -24, 0, 0, 0, 0, 0, 18, 0, 0, 0, -36, 0, 0, 0, 0, 0, -30, 0, -24, 0, -72, 0, 0, 0, -144, 0, -132, 0, -12, 0, -60, 0, 0, 0, -96, 0, -54, 0, -72, 0, -72, 0, 0, 0, -288, 0, 0, 0, -108, 0, 114, 0, 0, 0, -168, 0, 36, 0, 12, 0, -168, 0, 0, 0, -96, 0, 72, 0, -24, 0, 42, 0, 0, 0, 0, 0, 120, 0, -72, 0, 36, 0, 0, 0, 0, 0, 180, 0, 126, 0, 48, 0, 0, 0, -12, 0, -36, 0, -48, 0, 318, 0, 0, 0, 132, 0, 60, 0, 264, 0, 114, 0, 0, 0, 72, 0, 216, 0, 30, 0, 300, 0, 0, 0, 312, 0, 150, 0, 6, 0, 150, 0, 0, 0, 120, 0, 96, 0, 174, 0, 72, 0, 0, 0, 288, 0, -84, 0, 12, 0, 72, 0, 0, 0, 72, 0, -138, 0, 78, 0, 0, 0, 0, 0, -156, 0, -54, 0, 120, 0, -78, 0, 0, 0, 192, 0, -264, 0, 108, 0, -180, 0, 0, 0, -108, 0, 96, 0, 54, 0, -138, 0, 0, 0, -24, 0, -108, 0, 0, 0, -504, 0, 0, 0, -72, 0, -210, 0, -126, 0, -102, 0, 0, 0, -276, 0, -48, 0, -180, 0, -336, 0, 0, 0, 60, 0, -252, 0, -144, 0, -378, 0, 0, 0, -240, 0, 0, 0, -192, 0, 108, 0, 0, 0, -132, 0, 6, 0, -84, 0, -264, 0, 0, 0, 120, 0, 132, 0, -228, 0, 216, 0, 0, 0, 0, 0, -60, 0, -396, 0, 96, 0, 0, 0, 0, 0, 252, 0, -192, 0, -30, 0, 0, 0, 300, 0, 168, 0, -336, 0, 450, 0, 0, 0, 240, 0, 276, 0, -54, 0, 30, 0, 0, 0, -24, 0, 72, 0, 198, 0, 342, 0, 0, 0, 288, 0, -330, 0, 72, 0, 378, 0, 0, 0, 60, 0, 156, 0, 204, 0, -18, 0, 0, 0, 264, 0, -234, 0, -48, 0, 108, 0, 0, 0, 684, 0, -24, 0, 258, 0, 0, 0, 0, 0, -144, 0, 30, 0, 180, 0, -96, 0, 0, 0, 384, 0, -432, 0, -18, 0, -228, 0, 0, 0, -492, 0, -228, 0, 54, 0, 60, 0, 0, 0, -288, 0, -390, 0, 0, 0, -492, 0, 0, 0, -60, 0, -78, 0, 36, 0, -6, 0, 0, 0, -1116, 0, 18, 0, -252, 0, -420, 0, 0, 0, -204, 0, 54, 0, 96, 0, -180, 0, 0, 0, -348, 0, 0, 0, -504, 0, 18, 0, 0, 0, -288, 0, 270, 0, -132, 0, -462, 0, 0, 0, -288, 0, 144, 0, -246, 0, 342, 0, 0, 0, -432, 0, 144, 0, -72, 0, 246, 0, 0, 0, 0, 0, 492, 0, 78, 0, 264, 0, 0, 0, -24, 0, 84, 0, -60, 0, 714, 0, 0, 0, 276, 0, 318, 0, 420, 0, 186, 0, 0, 0, 384, 0, 396, 0, 138, 0, 774, 0, 0, 0, 552, 0, 252, 0, 174, 0, 264, 0, 0, 0, 300, 0, 540, 0, 768, 0, 426, 0, 0, 0, 360, 0, 114, 0, 384, 0, 378, 0, 0, 0, 360, 0, 294, 0, 558, 0, 0, 0, 0, 0, -96, 0, 228, 0, 216, 0, 78, 0, 0, 0, 444, 0, -270, 0, 132, 0, -414, 0, 0, 0, -120, 0, 132, 0, 144, 0, -372, 0, 0, 0, -372, 0, -342, 0, 0, 0, -756, 0, 0, 0, -192, 0, -192, 0, 66, 0, -276, 0, 0, 0, -432, 0, -90, 0, 36, 0, -600, 0, 0, 0, 168, 0, 108, 0, -258, 0, -378, 0, 0, 0, -612, 0, 0, 0, -492, 0, 0, 0, 0, 0, -384, 0, 144, 0, -36, 0, -468, 0, 0, 0, -192, 0, 108, 0, -570, 0, 576, 0, 0, 0, -396, 0, -186, 0, -504, 0, 108, 0, 0, 0, 0, 0, 204, 0, 150, 0, 102, 0, 0, 0, -48, 0, 180, 0, -882, 0, 648, 0, 0, 0, 144, 0, 252, 0, -138, 0, -162, 0, 0, 0, 108, 0, -72, 0, -204, 0, 474, 0, 0, 0, 432, 0, -444, 0, 36, 0, 354, 0, 0, 0, 132, 0, 42, 0, 312, 0, 318, 0, 0, 0, 408, 0, -648, 0, -78, 0, 36, 0, 0, 0, 144, 0, -252, 0, 546, 0, 0, 0, 0, 0, -60, 0, -546, 0, 342, 0, -630, 0, 0, 0, 396, 0, -930, 0, -114, 0, -186, 0, 0, 0, -516, 0, -534, 0, 18, 0, -192, 0, 0, 0, -24, 0, -636, 0, 0, 0, -996, 0, 0, 0, -72, 0, -432, 0, -552, 0, -204, 0, 0, 0, -924, 0, -36, 0, -246, 0, -534, 0, 0, 0, -492, 0, -234, 0, 60, 0, -846, 0, 0, 0, -288, 0, 0, 0, -180, 0, 372, 0, 0, 0, -312, 0, -234, 0, -210, 0, -516, 0, 0, 0, -372, 0, 90, 0, -174, 0, 648, 0, 0, 0, -216, 0, 654, 0, -126, 0, 186, 0, 0, 0, 0, 0, 516, 0, 726, 0, -108, 0, 0, 0, 1008, 0, 186, 0, -198, 0, 1326, 0, 0, 0, 528, 0, 498, 0, 402, 0, 414, 0, 0, 0, 564, 0, 306, 0, 330, 0, 432, 0, 0, 0, 1416, 0, -300, 0, -36, 0, 612, 0, 0, 0, 204, 0, 612, 0, 624, 0, 168, 0, 0, 0, 1164, 0, 96, 0, 594, 0, 198, 0, 0, 0, 1440, 0, -174, 0, 426, 0, 0, 0, 0, 0, -96, 0, 24, 0, 84, 0, -414, 0, 0, 0], '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: 24087445
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 13, 'source_dim': 120, 'source_embedding_index': 3, 'source_hecke_orbit_code': 2267776287100, 'source_is_minimal': True, 'source_label': '380.2.bh.a.13.3', 'source_level': 380, 'target_conrey_index': 13, 'target_dim': 120, 'target_embedding_index': 3, 'target_hecke_orbit_code': 2267776287100, 'target_is_minimal': True, 'target_label': '380.2.bh.a.13.3', 'target_level': 380, 'twist_class_label': '380.2.bh.a.13.3', 'twist_class_level': 380, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 24087446
{'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 13, 'source_dim': 120, 'source_embedding_index': 3, 'source_hecke_orbit_code': 2267776287100, 'source_is_minimal': True, 'source_label': '380.2.bh.a.13.3', 'source_level': 380, 'target_conrey_index': 317, 'target_dim': 120, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2267776287100, 'target_is_minimal': True, 'target_label': '380.2.bh.a.317.8', 'target_level': 380, 'twist_class_label': '380.2.bh.a.13.3', 'twist_class_level': 380, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 24087447
{'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 13, 'source_dim': 120, 'source_embedding_index': 3, 'source_hecke_orbit_code': 2267776287100, 'source_is_minimal': True, 'source_label': '380.2.bh.a.13.3', 'source_level': 380, 'target_conrey_index': 193, 'target_dim': 120, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2267776287100, 'target_is_minimal': True, 'target_label': '380.2.bh.a.193.8', 'target_level': 380, 'twist_class_label': '380.2.bh.a.13.3', 'twist_class_level': 380, 'twisting_char_label': '19.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 24087448
{'conductor': 95, 'degree': 12, 'order': 36, 'parity': 1, 'source_conrey_index': 13, 'source_dim': 120, 'source_embedding_index': 3, 'source_hecke_orbit_code': 2267776287100, 'source_is_minimal': True, 'source_label': '380.2.bh.a.13.3', 'source_level': 380, 'target_conrey_index': 117, 'target_dim': 120, 'target_embedding_index': 3, 'target_hecke_orbit_code': 2267776287100, 'target_is_minimal': True, 'target_label': '380.2.bh.a.117.3', 'target_level': 380, 'twist_class_label': '380.2.bh.a.13.3', 'twist_class_level': 380, 'twisting_char_label': '95.22', 'twisting_conrey_index': 22, 'weight': 2}

hecke_orbit_code 2267776287100 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': 34, 'hecke_orbit': 1, 'label': '380.2.bh.a', 'level': 380, 'portrait': 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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: 14263854
{'hecke_orbit_code': 2267776287100, 'n': 1, 'trace_an': 120}
id: 14263855
{'hecke_orbit_code': 2267776287100, 'n': 2, 'trace_an': 0}
id: 14263856
{'hecke_orbit_code': 2267776287100, 'n': 3, 'trace_an': 0}
id: 14263857
{'hecke_orbit_code': 2267776287100, 'n': 4, 'trace_an': 0}
id: 14263858
{'hecke_orbit_code': 2267776287100, 'n': 5, 'trace_an': 0}
id: 14263859
{'hecke_orbit_code': 2267776287100, 'n': 6, 'trace_an': 0}
id: 14263860
{'hecke_orbit_code': 2267776287100, 'n': 7, 'trace_an': 6}
id: 14263861
{'hecke_orbit_code': 2267776287100, 'n': 8, 'trace_an': 0}
id: 14263862
{'hecke_orbit_code': 2267776287100, 'n': 9, 'trace_an': 0}
id: 14263863
{'hecke_orbit_code': 2267776287100, 'n': 10, 'trace_an': 0}
id: 14263864
{'hecke_orbit_code': 2267776287100, 'n': 11, 'trace_an': 0}
id: 14263865
{'hecke_orbit_code': 2267776287100, 'n': 12, 'trace_an': 0}
id: 14263866
{'hecke_orbit_code': 2267776287100, 'n': 13, 'trace_an': 0}
id: 14263867
{'hecke_orbit_code': 2267776287100, 'n': 14, 'trace_an': 0}
id: 14263868
{'hecke_orbit_code': 2267776287100, 'n': 15, 'trace_an': 18}
id: 14263869
{'hecke_orbit_code': 2267776287100, 'n': 16, 'trace_an': 0}
id: 14263870
{'hecke_orbit_code': 2267776287100, 'n': 17, 'trace_an': -18}
id: 14263871
{'hecke_orbit_code': 2267776287100, 'n': 18, 'trace_an': 0}
id: 14263872
{'hecke_orbit_code': 2267776287100, 'n': 19, 'trace_an': 0}
id: 14263873
{'hecke_orbit_code': 2267776287100, 'n': 20, 'trace_an': 0}
id: 14263874
{'hecke_orbit_code': 2267776287100, 'n': 21, 'trace_an': 48}
id: 14263875
{'hecke_orbit_code': 2267776287100, 'n': 22, 'trace_an': 0}
id: 14263876
{'hecke_orbit_code': 2267776287100, 'n': 23, 'trace_an': -36}
id: 14263877
{'hecke_orbit_code': 2267776287100, 'n': 24, 'trace_an': 0}
id: 14263878
{'hecke_orbit_code': 2267776287100, 'n': 25, 'trace_an': -24}
id: 14263879
{'hecke_orbit_code': 2267776287100, 'n': 26, 'trace_an': 0}
id: 14263880
{'hecke_orbit_code': 2267776287100, 'n': 27, 'trace_an': 0}
id: 14263881
{'hecke_orbit_code': 2267776287100, 'n': 28, 'trace_an': 0}
id: 14263882
{'hecke_orbit_code': 2267776287100, 'n': 29, 'trace_an': 0}
id: 14263883
{'hecke_orbit_code': 2267776287100, 'n': 30, 'trace_an': 0}
id: 14263884
{'hecke_orbit_code': 2267776287100, 'n': 31, 'trace_an': 0}
id: 14263885
{'hecke_orbit_code': 2267776287100, 'n': 32, 'trace_an': 0}
id: 14263886
{'hecke_orbit_code': 2267776287100, 'n': 33, 'trace_an': -60}
id: 14263887
{'hecke_orbit_code': 2267776287100, 'n': 34, 'trace_an': 0}
id: 14263888
{'hecke_orbit_code': 2267776287100, 'n': 35, 'trace_an': -18}
id: 14263889
{'hecke_orbit_code': 2267776287100, 'n': 36, 'trace_an': 0}
id: 14263890
{'hecke_orbit_code': 2267776287100, 'n': 37, 'trace_an': 0}
id: 14263891
{'hecke_orbit_code': 2267776287100, 'n': 38, 'trace_an': 0}
id: 14263892
{'hecke_orbit_code': 2267776287100, 'n': 39, 'trace_an': 0}
id: 14263893
{'hecke_orbit_code': 2267776287100, 'n': 40, 'trace_an': 0}
id: 14263894
{'hecke_orbit_code': 2267776287100, 'n': 41, 'trace_an': -12}
id: 14263895
{'hecke_orbit_code': 2267776287100, 'n': 42, 'trace_an': 0}
id: 14263896
{'hecke_orbit_code': 2267776287100, 'n': 43, 'trace_an': -36}
id: 14263897
{'hecke_orbit_code': 2267776287100, 'n': 44, 'trace_an': 0}
id: 14263898
{'hecke_orbit_code': 2267776287100, 'n': 45, 'trace_an': 18}
id: 14263899
{'hecke_orbit_code': 2267776287100, 'n': 46, 'trace_an': 0}
id: 14263900
{'hecke_orbit_code': 2267776287100, 'n': 47, 'trace_an': -24}
id: 14263901
{'hecke_orbit_code': 2267776287100, 'n': 48, 'trace_an': 0}
id: 14263902
{'hecke_orbit_code': 2267776287100, 'n': 49, 'trace_an': 0}
id: 14263903
{'hecke_orbit_code': 2267776287100, 'n': 50, 'trace_an': 0}
id: 14263904
{'hecke_orbit_code': 2267776287100, 'n': 51, 'trace_an': 96}
id: 14263905
{'hecke_orbit_code': 2267776287100, 'n': 52, 'trace_an': 0}
id: 14263906
{'hecke_orbit_code': 2267776287100, 'n': 53, 'trace_an': -18}
id: 14263907
{'hecke_orbit_code': 2267776287100, 'n': 54, 'trace_an': 0}
id: 14263908
{'hecke_orbit_code': 2267776287100, 'n': 55, 'trace_an': 72}
id: 14263909
{'hecke_orbit_code': 2267776287100, 'n': 56, 'trace_an': 0}
id: 14263910
{'hecke_orbit_code': 2267776287100, 'n': 57, 'trace_an': -6}
id: 14263911
{'hecke_orbit_code': 2267776287100, 'n': 58, 'trace_an': 0}
id: 14263912
{'hecke_orbit_code': 2267776287100, 'n': 59, 'trace_an': 0}
id: 14263913
{'hecke_orbit_code': 2267776287100, 'n': 60, 'trace_an': 0}
id: 14263914
{'hecke_orbit_code': 2267776287100, 'n': 61, 'trace_an': -24}
id: 14263915
{'hecke_orbit_code': 2267776287100, 'n': 62, 'trace_an': 0}
id: 14263916
{'hecke_orbit_code': 2267776287100, 'n': 63, 'trace_an': 36}
id: 14263917
{'hecke_orbit_code': 2267776287100, 'n': 64, 'trace_an': 0}
id: 14263918
{'hecke_orbit_code': 2267776287100, 'n': 65, 'trace_an': 90}
id: 14263919
{'hecke_orbit_code': 2267776287100, 'n': 66, 'trace_an': 0}
id: 14263920
{'hecke_orbit_code': 2267776287100, 'n': 67, 'trace_an': -24}
id: 14263921
{'hecke_orbit_code': 2267776287100, 'n': 68, 'trace_an': 0}
id: 14263922
{'hecke_orbit_code': 2267776287100, 'n': 69, 'trace_an': 0}
id: 14263923
{'hecke_orbit_code': 2267776287100, 'n': 70, 'trace_an': 0}
id: 14263924
{'hecke_orbit_code': 2267776287100, 'n': 71, 'trace_an': 0}
id: 14263925
{'hecke_orbit_code': 2267776287100, 'n': 72, 'trace_an': 0}
id: 14263926
{'hecke_orbit_code': 2267776287100, 'n': 73, 'trace_an': 18}
id: 14263927
{'hecke_orbit_code': 2267776287100, 'n': 74, 'trace_an': 0}
id: 14263928
{'hecke_orbit_code': 2267776287100, 'n': 75, 'trace_an': 0}
id: 14263929
{'hecke_orbit_code': 2267776287100, 'n': 76, 'trace_an': 0}
id: 14263930
{'hecke_orbit_code': 2267776287100, 'n': 77, 'trace_an': -36}
id: 14263931
{'hecke_orbit_code': 2267776287100, 'n': 78, 'trace_an': 0}
id: 14263932
{'hecke_orbit_code': 2267776287100, 'n': 79, 'trace_an': 0}
id: 14263933
{'hecke_orbit_code': 2267776287100, 'n': 80, 'trace_an': 0}
id: 14263934
{'hecke_orbit_code': 2267776287100, 'n': 81, 'trace_an': 0}
id: 14263935
{'hecke_orbit_code': 2267776287100, 'n': 82, 'trace_an': 0}
id: 14263936
{'hecke_orbit_code': 2267776287100, 'n': 83, 'trace_an': -30}
id: 14263937
{'hecke_orbit_code': 2267776287100, 'n': 84, 'trace_an': 0}
id: 14263938
{'hecke_orbit_code': 2267776287100, 'n': 85, 'trace_an': -24}
id: 14263939
{'hecke_orbit_code': 2267776287100, 'n': 86, 'trace_an': 0}
id: 14263940
{'hecke_orbit_code': 2267776287100, 'n': 87, 'trace_an': -72}
id: 14263941
{'hecke_orbit_code': 2267776287100, 'n': 88, 'trace_an': 0}
id: 14263942
{'hecke_orbit_code': 2267776287100, 'n': 89, 'trace_an': 0}
id: 14263943
{'hecke_orbit_code': 2267776287100, 'n': 90, 'trace_an': 0}
id: 14263944
{'hecke_orbit_code': 2267776287100, 'n': 91, 'trace_an': -144}
id: 14263945
{'hecke_orbit_code': 2267776287100, 'n': 92, 'trace_an': 0}
id: 14263946
{'hecke_orbit_code': 2267776287100, 'n': 93, 'trace_an': -132}
id: 14263947
{'hecke_orbit_code': 2267776287100, 'n': 94, 'trace_an': 0}
id: 14263948
{'hecke_orbit_code': 2267776287100, 'n': 95, 'trace_an': -12}
id: 14263949
{'hecke_orbit_code': 2267776287100, 'n': 96, 'trace_an': 0}
id: 14263950
{'hecke_orbit_code': 2267776287100, 'n': 97, 'trace_an': -60}
id: 14263951
{'hecke_orbit_code': 2267776287100, 'n': 98, 'trace_an': 0}
id: 14263952
{'hecke_orbit_code': 2267776287100, 'n': 99, 'trace_an': 0}
id: 14263953
{'hecke_orbit_code': 2267776287100, 'n': 100, 'trace_an': 0}

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.