Embedded newform data - 513.2.cd.a.413.8

Formats: - HTML - YAML - JSON - 2026-10-14T13:46:50.746524

• mf_newforms •

  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

  
  {'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': 56, 'char_orbit_label': 'cd', 'char_order': 18, 'char_parity': 1, 'char_values': [513, 18, [191, 325], [3, 1]], 'cm_discs': [], 'conrey_index': 116, 'dim': 108, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 3779604775425, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 171, 30, 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.cd.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': 30, '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.cd', 'trace_display': [9, 0, 9, -6], 'traces': [108, 9, 0, -3, 9, 0, -6, 0, 0, -12, 9, 0, -6, 9, 0, 9, 27, 0, -15, 18, 0, -6, 9, 0, -3, -72, 0, -36, -18, 0, -9, -27, 0, -21, 45, 0, 0, 18, 0, -30, 72, 0, -27, -63, 0, -18, 9, 0, 30, -63, 0, 15, 0, 0, 3, 63, 0, -6, -99, 0, 39, 18, 0, 0, 9, 0, 27, 0, 0, -24, 0, 0, -45, -72, 0, -3, 18, 0, -6, 126, 0, -3, 0, 0, -3, 9, 0, 0, 54, 0, -9, -99, 0, 0, 9, 0, 24, -27, 0, -48, 9, 0, 0, -63, 0, 3, -81, 0, -12, -180, 0, -39, 45, 0, -24, 108, 0, -21, -36, 0, -3, 18, 0, -57, -108, 0, 6, -135, 0, -21, -45, 0, 3, 0, 0, 78, -126, 0, 48, 243, 0, 33, 180, 0, -18, 108, 0, 21, 45, 0, 0, -162, 0, -12, 36, 0, 75, -45, 0, 171, 99, 0, -6, 306, 0, 120, 153, 0, 18, -360, 0, 30, 54, 0, -84, 135, 0, 102, 0, 0, -12, 225, 0, 21, 90, 0, -150, 351, 0, -75, 54, 0, -18, 72, 0, -60, -90, 0, 9, -189, 0, 180, -297, 0, -57, 90, 0, 0, 135, 0, 18, -45, 0, -9, 0, 0, -9, 9, 0, -282, -153, 0, -15, -117, 0, -126, 45, 0, -6, -369, 0, 69, -81, 0, -6, 9, 0, -123, 0, 0, 72, 0, 0, 132, -36, 0, -9, -288, 0, 15, 99, 0, -69, 0, 0, -3, -126, 0, 0, -9, 0, -12, -261, 0, 81, 81, 0, -108, -126, 0, 51, 45, 0, 0, -90, 0, 33, -198, 0, -33, -81, 0, 51, 279, 0, 33, 189, 0, -3, -72, 0, 3, 18, 0, -3, -126, 0, -48, -126, 0, -45, -333, 0, -171, 0, 0, 6, -342, 0, -135, 207, 0, 78, 243, 0, 171, 153, 0, -69, 234, 0, -63, -333, 0, 78, 126, 0, 156, 18, 0, -117, 333, 0, 84, 414, 0, -87, 594, 0, 66, -90, 0, -126, 252, 0, 213, 54, 0, -6, 0, 0, 198, -45, 0, 51, 351, 0, 81, 261, 0, 153, 288, 0, -63, 81, 0, 18, -468, 0, 306, 81, 0, -72, -162, 0, 390, 252, 0, 0, 450, 0, 75, 162, 0, 24, 63, 0, -18, -207, 0, 246, -297, 0, -69, -117, 0, 90, 225, 0, -42, -378, 0, -213, 144, 0, -138, -90, 0, -174, 0, 0, -123, -54, 0, -42, -306, 0, -69, -126, 0, 33, 81, 0, 132, 0, 0, -75, -189, 0, 0, 189, 0, -90, -432, 0, 180, 126, 0, 108, 99, 0, -192, -171, 0, 0, -297, 0, -15, -324, 0, 156, -567, 0, 45, 108, 0, -24, 180, 0, -42, -225, 0, 57, -126, 0, 123, -324, 0, -3, -351, 0, -42, -45, 0, 114, 0, 0, -222, -432, 0, 33, 549, 0, -324, 351, 0, -81, 531, 0, -189, 72, 0, 0, -432, 0, -60, -36, 0, -321, 216, 0, -171, 279, 0, -42, 450, 0, 84, 252, 0, -90, -558, 0, -96, 171, 0, -6, -9, 0, -150, 0, 0, -33, 261, 0, -93, 234, 0, 177, 720, 0, -273, 270, 0, 126, 18, 0, -75, -99, 0, -171, -441, 0, -198, -288, 0, -105, 261, 0, 0, 270, 0, -261, -135, 0, -156, -297, 0, -135, -162, 0, 102, -189, 0, 171, -216, 0, 156, 27, 0, -6, -819, 0, 192, -72, 0, 105, 0, 0, 309, 0, 0, -114, -135, 0, 63, -36, 0, -45, -675, 0, 33, 342, 0, 75, 0, 0, -102, -504, 0, 0, 9, 0, 0, -486, 0, 0, -36, 0, -39, -135, 0, -84, 189, 0, 0, -162, 0, -60, -180, 0, -141, -243, 0, -24, 360, 0, -222, 414, 0, -78, -450, 0, -123, 234, 0, -243, -153, 0, -102, 99, 0, 9, 63, 0, 195, 0, 0, 219, 171, 0, 315, 459, 0, 159, 387, 0, -81, 261, 0, 150, 270, 0, 72, -585, 0, -21, -360, 0, 348, 378, 0, 639, 540, 0, -174, 756, 0, -6, 864, 0, 81, -54, 0, 120, 540, 0, -207, -81, 0, 198, -162, 0, -21, 99, 0, 78, 207, 0, 42, 81, 0, 144, 603, 0, -6, 252, 0, 18, -792, 0, -12, 144, 0, 423, -396, 0, -282, 360, 0, 0, 522, 0, 201, 450, 0, 81, -225, 0, 306, -99, 0, -90, -99, 0, -99, 108, 0, -411, 270, 0, 6, -396, 0, 141, 522, 0, 60, -117, 0, -81, 0, 0, 387, -351, 0, 129, -828, 0, -228, -225, 0, -42, -90, 0, -318, 0, 0, -33, -9, 0, 0, -54, 0, 57, -810, 0, -108, 63, 0, -321, 405, 0, 759, -99, 0, 0, -630, 0, 75, -72, 0, -234, -864, 0, 192, -207, 0, -6, 504, 0, -21, -9, 0, 33, 378, 0, 21, -144, 0, -12, 189, 0, 153, -135, 0, 30, 0, 0, 75, -432, 0, -165, 621, 0, 300, 207, 0, 198, 198, 0, -231, 207, 0, -81, -702, 0, 282, -207, 0, 186, -63, 0, -495, 504, 0, 63, 630, 0, -108, 99, 0, -108, -756, 0, 90, 81, 0, -60, -243, 0, -6, -252, 0, 105, 279, 0, 42, 180, 0, 111, 621, 0, 315, 504, 0, 27, 576, 0, 129, -684, 0, 255, 54, 0, -333, -558, 0, 255, 657, 0, 0, 459, 0, 198, -45, 0, 9, 18, 0, 90, -63, 0, 522, -414, 0, -84, -180, 0, 228, 72, 0, 51, -333, 0, -549, 396, 0, -222, -153, 0, -273, 0, 0, -165, 0, 0, -117, -72, 0, -165, -639, 0, 12, 99, 0, -63, 0, 0, 3, -522, 0, 0, -162, 0, -123, -648, 0, -99, -225, 0, 381, -279, 0, -132, -135, 0, 0, -477, 0, -123, -54, 0, 423, -315, 0, -186, 90, 0, 183, 441, 0, -192, -333, 0, 198, 378, 0, 66, -360, 0, -39, 387, 0, -123, -351, 0, 225, 0, 0, -222, -117, 0, 84, 513, 0, -483, 180, 0, -522], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  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

  
  {'an_normalized': [[1.0, 0.0], [-0.081280088221824, 0.460962286629354], [0.0, 0.0], [0.7338128438326932, 0.2670860326773335], [0.9468242065658768, 0.16695065360544903], [0.0, 0.0], [1.7525782496104558, 0.0], [-0.4167976474943102, 0.7219147019353281], [0.0, 0.0], [-0.15391591008046598, 0.42288048744088835], [-0.6239528374424292, 0.36023933865901736], [0.0, 0.0], [-0.3120585980565709, -0.3718969553338309], [-0.14244971474398774, 0.8078724774373065], [0.0, 0.0], [0.2993116090144469, 0.25115226073110064], [-0.3710126215139597, -1.0193487999422686], [0.0, 0.0], [-0.7106926377854933, -0.7035026471858493], [0.6502015759053723, 0.3753940548764856], [0.0, 0.0], [-0.11534180760852882, -0.3168990119235123], [0.41112522217553144, -1.1295572644955374], [0.0, 0.0], [-0.07108906338609274, -0.025874303054401082], [0.19679462130159422, -0.11361942758354589], [0.0, 0.0], [1.2860644293859722, 0.46808917164504216], [-0.9321622374898089, 0.7821769896750866], [0.0, 0.0], [-0.47234074206179316, -0.27270605457860386], [-0.7786708379214081, 0.6533824129083571], [0.0, 0.0], [0.5000372923023408, -0.08817006599330791], [1.6593835106320332, 0.2925940842671594], [0.0, 0.0], [0.0, 1.0682468197960033], [0.3820533491943985, -0.2704217461766957], [0.0, 0.0], [-0.5151582332228102, 0.61394167519777], [0.13041999844088292, -0.04746899738552591], [0.0, 0.0], [-1.5516299234095776, 0.5647471067178336], [-0.5540795018378505, 0.09769916563151854], [0.0, 0.0], [0.48726700519201677, 0.2813237366148337], [0.7823740944315053, 0.9323971377913882], [0.0, 0.0], [2.071530521007649, 0.0], [0.01770520324452606, -0.030666311577852465], [0.0, 0.0], [-0.12966412491744322, -0.3562492553240187], [0.723464213006299, -0.6070585543035467], [0.0, 0.0], [-0.6509158432894733, 0.23691399196965227], [-0.7304704914873339, 1.2652120046858715], [0.0, 0.0], [-0.28478786480926804, -0.493267051228709], [-0.6237744586562342, -0.5234089181962536], [0.0, 0.0], [0.03397827323019803, 0.1927003632324252], [0.16409910368176703, -0.1955656963542356], [0.0, 0.0], [-0.042532438601011406, -0.0736683446267555], [-0.23337619474011306, -0.40421942656696436], [0.0, 0.0], [-0.3664067143138426, 0.06460738964626896], [0.0, -0.8471035308964596], [0.0, 0.0], [-0.26974967627602336, 0.7411311444735684], [0.8985145823595052, 0.7539432546652686], [0.0, 0.0], [0.22210411183619644, -1.2596150115189595], [-0.49242149673770114, -0.08682719575570208], [0.0, 0.0], [-0.33361965460946064, -0.7060553552543924], [-1.09352617168433, 0.6313476295878488], [0.0, 0.0], [-0.15612861542133194, 0.18606683833513213], [0.24146544263751624, 0.28776730875061113], [0.0, 0.0], [0.011280868599669735, 0.06397698499880326], [0.0, 0.23496166460962714], [0.0, 0.0], [-0.18110278258858906, -1.0270849183768438], [-0.1342105006176119, -0.7611455721544537], [0.0, 0.0], [0.0, -0.6005876355519382], [-0.2420939829941851, -1.372983204393761], [0.0, 0.0], [-0.5469071115578777, -0.6517785150144232], [0.6033779369119491, -0.7190778240068979], [0.0, 0.0], [-0.49339135210084556, 0.28485962995125663], [-0.5554507661226187, -0.7847439361296045], [0.0, 0.0], [0.18434969175177476, 0.03250582454112665], [-0.16837418350170277, 0.9548974457861831], [0.0, 0.0], [-0.0452554028176603, -0.037973791813077994]], 'angles': [0.06537457097370039, None, -0.14241075995787617, -0.08000579945844372, -0.3919858204286695, -0.15013395915150868, -0.46431642382231836, None, -0.3418240732213313, -0.4652104359316529, -0.2106259903435243, 0.08967911873416767, -0.29450210947189864, -0.46013855803867765, -0.00698103634750342, -0.28283972037052724, -0.20562581006903535, -0.012181660276368887, -0.30755878930375075, -0.039148710650751345, -0.36178810420149493, -0.40826553265954246, 0.018740934569206932, -0.4050184830227083, -0.207303994390721, -0.4713373208451734, 0.09758746003984961, 0.037920156566453124, -0.37064546992611047, -0.4985533980701006, -0.31865785972906013, -0.3087428262507221, -0.23424325521962225, -0.3535217836898497, -0.05476274899740728, -0.17423971208172825, 0.1039911784296768, -0.4047104179581132, -0.18234010649785998, -0.48240003046145385, -0.3441270580730542, -0.4356302957015433, -0.0892726852694001, -0.47203750834209773, -0.3572396565926857, -0.09351140742316938, -0.2734538217420655, 0.10898523829069134, 0.2126363136588262, -0.12654239037639645, -0.40427741181324417, 0.1624319894827839, -0.2795677573969628, -0.1441559139210797, -0.41409184091497053, 0.281457240332019, 0.06674070562182523, -0.4921774650523189, -0.013764308527174527, -0.40944102941396726, -0.11144645443537149, -0.14758760193060239, -0.11371409138360372, -0.12595268232478002, -0.31704166696259156, -0.07681678062023474, -0.3828648459980981, -0.12498688553553179, -0.3126152656339628, -0.2092397844441599, -0.44904258631758165, 0.04263835103166552, -0.24926517321125097, -0.16371151525131927, -0.45686247589429607, -0.1798025911248865, -0.1241615723374807, -0.23290756832985574, -0.19150278865298076, -0.24339075904717453, -0.30479559824175345, -0.3170818640815673, -0.453448682416895, -0.4897485790534211, -0.31436612924497626, -0.40820277694787677, -0.1658105107332397, 0.1850221346651665, -0.4815122041130041, -0.49386356912474455, -0.1361740702517657, -0.1856586976843786, -0.29336669043284236, -0.4788864701343422, -0.49996056076259027, 0.12100886229019042, -0.2980547506174477, 0.2054671938892446, 0.11248638621513306, -0.19221994820686397], 'char_orbit_index': 56, 'conrey_index': 413, 'dual_conrey_index': 395, 'dual_embedding_index': 8, 'dual_embedding_m': 62, 'embedding_index': 8, 'embedding_m': 80, 'hecke_orbit': 1, 'hecke_orbit_code': 3779604775425, 'label': '513.2.cd.a.413.8', 'level': 513, 'weight': 2}
• mf_newspaces •

  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

  
  {'Nk2': 2052, 'analytic_conductor': 4.096325623691683, 'char_conductor': 171, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 56, 'char_orbit_label': 'cd', 'char_order': 18, 'char_parity': 1, 'char_values': [513, 18, [191, 325], [3, 1]], 'conrey_index': 116, 'cusp_dim': 324, 'dim': 108, 'eis_dim': 72, 'eis_new_dim': 24, 'hecke_cutter_primes': [], 'hecke_orbit_code': 3779604775425, 'hecke_orbit_dims': [108], 'label': '513.2.cd', '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': 30, 'relative_dim': 18, 'sturm_bound': 120, 'trace_bound': 0, 'trace_display': [9, 0, 9, -6], 'traces': [108, 9, 0, -3, 9, 0, -6, 0, 0, -12, 9, 0, -6, 9, 0, 9, 27, 0, -15, 18, 0, -6, 9, 0, -3, -72, 0, -36, -18, 0, -9, -27, 0, -21, 45, 0, 0, 18, 0, -30, 72, 0, -27, -63, 0, -18, 9, 0, 30, -63, 0, 15, 0, 0, 3, 63, 0, -6, -99, 0, 39, 18, 0, 0, 9, 0, 27, 0, 0, -24, 0, 0, -45, -72, 0, -3, 18, 0, -6, 126, 0, -3, 0, 0, -3, 9, 0, 0, 54, 0, -9, -99, 0, 0, 9, 0, 24, -27, 0, -48, 9, 0, 0, -63, 0, 3, -81, 0, -12, -180, 0, -39, 45, 0, -24, 108, 0, -21, -36, 0, -3, 18, 0, -57, -108, 0, 6, -135, 0, -21, -45, 0, 3, 0, 0, 78, -126, 0, 48, 243, 0, 33, 180, 0, -18, 108, 0, 21, 45, 0, 0, -162, 0, -12, 36, 0, 75, -45, 0, 171, 99, 0, -6, 306, 0, 120, 153, 0, 18, -360, 0, 30, 54, 0, -84, 135, 0, 102, 0, 0, -12, 225, 0, 21, 90, 0, -150, 351, 0, -75, 54, 0, -18, 72, 0, -60, -90, 0, 9, -189, 0, 180, -297, 0, -57, 90, 0, 0, 135, 0, 18, -45, 0, -9, 0, 0, -9, 9, 0, -282, -153, 0, -15, -117, 0, -126, 45, 0, -6, -369, 0, 69, -81, 0, -6, 9, 0, -123, 0, 0, 72, 0, 0, 132, -36, 0, -9, -288, 0, 15, 99, 0, -69, 0, 0, -3, -126, 0, 0, -9, 0, -12, -261, 0, 81, 81, 0, -108, -126, 0, 51, 45, 0, 0, -90, 0, 33, -198, 0, -33, -81, 0, 51, 279, 0, 33, 189, 0, -3, -72, 0, 3, 18, 0, -3, -126, 0, -48, -126, 0, -45, -333, 0, -171, 0, 0, 6, -342, 0, -135, 207, 0, 78, 243, 0, 171, 153, 0, -69, 234, 0, -63, -333, 0, 78, 126, 0, 156, 18, 0, -117, 333, 0, 84, 414, 0, -87, 594, 0, 66, -90, 0, -126, 252, 0, 213, 54, 0, -6, 0, 0, 198, -45, 0, 51, 351, 0, 81, 261, 0, 153, 288, 0, -63, 81, 0, 18, -468, 0, 306, 81, 0, -72, -162, 0, 390, 252, 0, 0, 450, 0, 75, 162, 0, 24, 63, 0, -18, -207, 0, 246, -297, 0, -69, -117, 0, 90, 225, 0, -42, -378, 0, -213, 144, 0, -138, -90, 0, -174, 0, 0, -123, -54, 0, -42, -306, 0, -69, -126, 0, 33, 81, 0, 132, 0, 0, -75, -189, 0, 0, 189, 0, -90, -432, 0, 180, 126, 0, 108, 99, 0, -192, -171, 0, 0, -297, 0, -15, -324, 0, 156, -567, 0, 45, 108, 0, -24, 180, 0, -42, -225, 0, 57, -126, 0, 123, -324, 0, -3, -351, 0, -42, -45, 0, 114, 0, 0, -222, -432, 0, 33, 549, 0, -324, 351, 0, -81, 531, 0, -189, 72, 0, 0, -432, 0, -60, -36, 0, -321, 216, 0, -171, 279, 0, -42, 450, 0, 84, 252, 0, -90, -558, 0, -96, 171, 0, -6, -9, 0, -150, 0, 0, -33, 261, 0, -93, 234, 0, 177, 720, 0, -273, 270, 0, 126, 18, 0, -75, -99, 0, -171, -441, 0, -198, -288, 0, -105, 261, 0, 0, 270, 0, -261, -135, 0, -156, -297, 0, -135, -162, 0, 102, -189, 0, 171, -216, 0, 156, 27, 0, -6, -819, 0, 192, -72, 0, 105, 0, 0, 309, 0, 0, -114, -135, 0, 63, -36, 0, -45, -675, 0, 33, 342, 0, 75, 0, 0, -102, -504, 0, 0, 9, 0, 0, -486, 0, 0, -36, 0, -39, -135, 0, -84, 189, 0, 0, -162, 0, -60, -180, 0, -141, -243, 0, -24, 360, 0, -222, 414, 0, -78, -450, 0, -123, 234, 0, -243, -153, 0, -102, 99, 0, 9, 63, 0, 195, 0, 0, 219, 171, 0, 315, 459, 0, 159, 387, 0, -81, 261, 0, 150, 270, 0, 72, -585, 0, -21, -360, 0, 348, 378, 0, 639, 540, 0, -174, 756, 0, -6, 864, 0, 81, -54, 0, 120, 540, 0, -207, -81, 0, 198, -162, 0, -21, 99, 0, 78, 207, 0, 42, 81, 0, 144, 603, 0, -6, 252, 0, 18, -792, 0, -12, 144, 0, 423, -396, 0, -282, 360, 0, 0, 522, 0, 201, 450, 0, 81, -225, 0, 306, -99, 0, -90, -99, 0, -99, 108, 0, -411, 270, 0, 6, -396, 0, 141, 522, 0, 60, -117, 0, -81, 0, 0, 387, -351, 0, 129, -828, 0, -228, -225, 0, -42, -90, 0, -318, 0, 0, -33, -9, 0, 0, -54, 0, 57, -810, 0, -108, 63, 0, -321, 405, 0, 759, -99, 0, 0, -630, 0, 75, -72, 0, -234, -864, 0, 192, -207, 0, -6, 504, 0, -21, -9, 0, 33, 378, 0, 21, -144, 0, -12, 189, 0, 153, -135, 0, 30, 0, 0, 75, -432, 0, -165, 621, 0, 300, 207, 0, 198, 198, 0, -231, 207, 0, -81, -702, 0, 282, -207, 0, 186, -63, 0, -495, 504, 0, 63, 630, 0, -108, 99, 0, -108, -756, 0, 90, 81, 0, -60, -243, 0, -6, -252, 0, 105, 279, 0, 42, 180, 0, 111, 621, 0, 315, 504, 0, 27, 576, 0, 129, -684, 0, 255, 54, 0, -333, -558, 0, 255, 657, 0, 0, 459, 0, 198, -45, 0, 9, 18, 0, 90, -63, 0, 522, -414, 0, -84, -180, 0, 228, 72, 0, 51, -333, 0, -549, 396, 0, -222, -153, 0, -273, 0, 0, -165, 0, 0, -117, -72, 0, -165, -639, 0, 12, 99, 0, -63, 0, 0, 3, -522, 0, 0, -162, 0, -123, -648, 0, -99, -225, 0, 381, -279, 0, -132, -135, 0, 0, -477, 0, -123, -54, 0, 423, -315, 0, -186, 90, 0, 183, 441, 0, -192, -333, 0, 198, 378, 0, 66, -360, 0, -39, 387, 0, -123, -351, 0, 225, 0, 0, -222, -117, 0, 84, 513, 0, -483, 180, 0, -522], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 30480477
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 30480478
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 30480479
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 30480480
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 30480481
    {'conductor': 19, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '19.15', 'twisting_conrey_index': 15, 'weight': 2}
  • id: 30480482
    {'conductor': 57, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '57.53', 'twisting_conrey_index': 53, 'weight': 2}
  • id: 30480483
    {'conductor': 171, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '171.148', 'twisting_conrey_index': 148, 'weight': 2}
  • id: 30480484
    {'conductor': 171, 'degree': 6, 'order': 18, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 108, 'source_embedding_index': 8, 'source_hecke_orbit_code': 3779604775425, 'source_is_minimal': False, 'source_label': '513.2.cd.a.413.8', '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': '171.167', 'twisting_conrey_index': 167, 'weight': 2}
• hecke_orbit_code 3779604775425 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 56, 'hecke_orbit': 1, 'label': '513.2.cd.a', 'level': 513, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 15257670
    {'hecke_orbit_code': 3779604775425, 'n': 1, 'trace_an': 108}
  • id: 15257671
    {'hecke_orbit_code': 3779604775425, 'n': 2, 'trace_an': 9}
  • id: 15257672
    {'hecke_orbit_code': 3779604775425, 'n': 3, 'trace_an': 0}
  • id: 15257673
    {'hecke_orbit_code': 3779604775425, 'n': 4, 'trace_an': -3}
  • id: 15257674
    {'hecke_orbit_code': 3779604775425, 'n': 5, 'trace_an': 9}
  • id: 15257675
    {'hecke_orbit_code': 3779604775425, 'n': 6, 'trace_an': 0}
  • id: 15257676
    {'hecke_orbit_code': 3779604775425, 'n': 7, 'trace_an': -6}
  • id: 15257677
    {'hecke_orbit_code': 3779604775425, 'n': 8, 'trace_an': 0}
  • id: 15257678
    {'hecke_orbit_code': 3779604775425, 'n': 9, 'trace_an': 0}
  • id: 15257679
    {'hecke_orbit_code': 3779604775425, 'n': 10, 'trace_an': -12}
  • id: 15257680
    {'hecke_orbit_code': 3779604775425, 'n': 11, 'trace_an': 9}
  • id: 15257681
    {'hecke_orbit_code': 3779604775425, 'n': 12, 'trace_an': 0}
  • id: 15257682
    {'hecke_orbit_code': 3779604775425, 'n': 13, 'trace_an': -6}
  • id: 15257683
    {'hecke_orbit_code': 3779604775425, 'n': 14, 'trace_an': 9}
  • id: 15257684
    {'hecke_orbit_code': 3779604775425, 'n': 15, 'trace_an': 0}
  • id: 15257685
    {'hecke_orbit_code': 3779604775425, 'n': 16, 'trace_an': 9}
  • id: 15257686
    {'hecke_orbit_code': 3779604775425, 'n': 17, 'trace_an': 27}
  • id: 15257687
    {'hecke_orbit_code': 3779604775425, 'n': 18, 'trace_an': 0}
  • id: 15257688
    {'hecke_orbit_code': 3779604775425, 'n': 19, 'trace_an': -15}
  • id: 15257689
    {'hecke_orbit_code': 3779604775425, 'n': 20, 'trace_an': 18}
  • id: 15257690
    {'hecke_orbit_code': 3779604775425, 'n': 21, 'trace_an': 0}
  • id: 15257691
    {'hecke_orbit_code': 3779604775425, 'n': 22, 'trace_an': -6}
  • id: 15257692
    {'hecke_orbit_code': 3779604775425, 'n': 23, 'trace_an': 9}
  • id: 15257693
    {'hecke_orbit_code': 3779604775425, 'n': 24, 'trace_an': 0}
  • id: 15257694
    {'hecke_orbit_code': 3779604775425, 'n': 25, 'trace_an': -3}
  • id: 15257695
    {'hecke_orbit_code': 3779604775425, 'n': 26, 'trace_an': -72}
  • id: 15257696
    {'hecke_orbit_code': 3779604775425, 'n': 27, 'trace_an': 0}
  • id: 15257697
    {'hecke_orbit_code': 3779604775425, 'n': 28, 'trace_an': -36}
  • id: 15257698
    {'hecke_orbit_code': 3779604775425, 'n': 29, 'trace_an': -18}
  • id: 15257699
    {'hecke_orbit_code': 3779604775425, 'n': 30, 'trace_an': 0}
  • id: 15257700
    {'hecke_orbit_code': 3779604775425, 'n': 31, 'trace_an': -9}
  • id: 15257701
    {'hecke_orbit_code': 3779604775425, 'n': 32, 'trace_an': -27}
  • id: 15257702
    {'hecke_orbit_code': 3779604775425, 'n': 33, 'trace_an': 0}
  • id: 15257703
    {'hecke_orbit_code': 3779604775425, 'n': 34, 'trace_an': -21}
  • id: 15257704
    {'hecke_orbit_code': 3779604775425, 'n': 35, 'trace_an': 45}
  • id: 15257705
    {'hecke_orbit_code': 3779604775425, 'n': 36, 'trace_an': 0}
  • id: 15257706
    {'hecke_orbit_code': 3779604775425, 'n': 37, 'trace_an': 0}
  • id: 15257707
    {'hecke_orbit_code': 3779604775425, 'n': 38, 'trace_an': 18}
  • id: 15257708
    {'hecke_orbit_code': 3779604775425, 'n': 39, 'trace_an': 0}
  • id: 15257709
    {'hecke_orbit_code': 3779604775425, 'n': 40, 'trace_an': -30}
  • id: 15257710
    {'hecke_orbit_code': 3779604775425, 'n': 41, 'trace_an': 72}
  • id: 15257711
    {'hecke_orbit_code': 3779604775425, 'n': 42, 'trace_an': 0}
  • id: 15257712
    {'hecke_orbit_code': 3779604775425, 'n': 43, 'trace_an': -27}
  • id: 15257713
    {'hecke_orbit_code': 3779604775425, 'n': 44, 'trace_an': -63}
  • id: 15257714
    {'hecke_orbit_code': 3779604775425, 'n': 45, 'trace_an': 0}
  • id: 15257715
    {'hecke_orbit_code': 3779604775425, 'n': 46, 'trace_an': -18}
  • id: 15257716
    {'hecke_orbit_code': 3779604775425, 'n': 47, 'trace_an': 9}
  • id: 15257717
    {'hecke_orbit_code': 3779604775425, 'n': 48, 'trace_an': 0}
  • id: 15257718
    {'hecke_orbit_code': 3779604775425, 'n': 49, 'trace_an': 30}
  • id: 15257719
    {'hecke_orbit_code': 3779604775425, 'n': 50, 'trace_an': -63}
  • id: 15257720
    {'hecke_orbit_code': 3779604775425, 'n': 51, 'trace_an': 0}
  • id: 15257721
    {'hecke_orbit_code': 3779604775425, 'n': 52, 'trace_an': 15}
  • id: 15257722
    {'hecke_orbit_code': 3779604775425, 'n': 53, 'trace_an': 0}
  • id: 15257723
    {'hecke_orbit_code': 3779604775425, 'n': 54, 'trace_an': 0}
  • id: 15257724
    {'hecke_orbit_code': 3779604775425, 'n': 55, 'trace_an': 3}
  • id: 15257725
    {'hecke_orbit_code': 3779604775425, 'n': 56, 'trace_an': 63}
  • id: 15257726
    {'hecke_orbit_code': 3779604775425, 'n': 57, 'trace_an': 0}
  • id: 15257727
    {'hecke_orbit_code': 3779604775425, 'n': 58, 'trace_an': -6}
  • id: 15257728
    {'hecke_orbit_code': 3779604775425, 'n': 59, 'trace_an': -99}
  • id: 15257729
    {'hecke_orbit_code': 3779604775425, 'n': 60, 'trace_an': 0}
  • id: 15257730
    {'hecke_orbit_code': 3779604775425, 'n': 61, 'trace_an': 39}
  • id: 15257731
    {'hecke_orbit_code': 3779604775425, 'n': 62, 'trace_an': 18}
  • id: 15257732
    {'hecke_orbit_code': 3779604775425, 'n': 63, 'trace_an': 0}
  • id: 15257733
    {'hecke_orbit_code': 3779604775425, 'n': 64, 'trace_an': 0}
  • id: 15257734
    {'hecke_orbit_code': 3779604775425, 'n': 65, 'trace_an': 9}
  • id: 15257735
    {'hecke_orbit_code': 3779604775425, 'n': 66, 'trace_an': 0}
  • id: 15257736
    {'hecke_orbit_code': 3779604775425, 'n': 67, 'trace_an': 27}
  • id: 15257737
    {'hecke_orbit_code': 3779604775425, 'n': 68, 'trace_an': 0}
  • id: 15257738
    {'hecke_orbit_code': 3779604775425, 'n': 69, 'trace_an': 0}
  • id: 15257739
    {'hecke_orbit_code': 3779604775425, 'n': 70, 'trace_an': -24}
  • id: 15257740
    {'hecke_orbit_code': 3779604775425, 'n': 71, 'trace_an': 0}
  • id: 15257741
    {'hecke_orbit_code': 3779604775425, 'n': 72, 'trace_an': 0}
  • id: 15257742
    {'hecke_orbit_code': 3779604775425, 'n': 73, 'trace_an': -45}
  • id: 15257743
    {'hecke_orbit_code': 3779604775425, 'n': 74, 'trace_an': -72}
  • id: 15257744
    {'hecke_orbit_code': 3779604775425, 'n': 75, 'trace_an': 0}
  • id: 15257745
    {'hecke_orbit_code': 3779604775425, 'n': 76, 'trace_an': -3}
  • id: 15257746
    {'hecke_orbit_code': 3779604775425, 'n': 77, 'trace_an': 18}
  • id: 15257747
    {'hecke_orbit_code': 3779604775425, 'n': 78, 'trace_an': 0}
  • id: 15257748
    {'hecke_orbit_code': 3779604775425, 'n': 79, 'trace_an': -6}
  • id: 15257749
    {'hecke_orbit_code': 3779604775425, 'n': 80, 'trace_an': 126}
  • id: 15257750
    {'hecke_orbit_code': 3779604775425, 'n': 81, 'trace_an': 0}
  • id: 15257751
    {'hecke_orbit_code': 3779604775425, 'n': 82, 'trace_an': -3}
  • id: 15257752
    {'hecke_orbit_code': 3779604775425, 'n': 83, 'trace_an': 0}
  • id: 15257753
    {'hecke_orbit_code': 3779604775425, 'n': 84, 'trace_an': 0}
  • id: 15257754
    {'hecke_orbit_code': 3779604775425, 'n': 85, 'trace_an': -3}
  • id: 15257755
    {'hecke_orbit_code': 3779604775425, 'n': 86, 'trace_an': 9}
  • id: 15257756
    {'hecke_orbit_code': 3779604775425, 'n': 87, 'trace_an': 0}
  • id: 15257757
    {'hecke_orbit_code': 3779604775425, 'n': 88, 'trace_an': 0}
  • id: 15257758
    {'hecke_orbit_code': 3779604775425, 'n': 89, 'trace_an': 54}
  • id: 15257759
    {'hecke_orbit_code': 3779604775425, 'n': 90, 'trace_an': 0}
  • id: 15257760
    {'hecke_orbit_code': 3779604775425, 'n': 91, 'trace_an': -9}
  • id: 15257761
    {'hecke_orbit_code': 3779604775425, 'n': 92, 'trace_an': -99}
  • id: 15257762
    {'hecke_orbit_code': 3779604775425, 'n': 93, 'trace_an': 0}
  • id: 15257763
    {'hecke_orbit_code': 3779604775425, 'n': 94, 'trace_an': 0}
  • id: 15257764
    {'hecke_orbit_code': 3779604775425, 'n': 95, 'trace_an': 9}
  • id: 15257765
    {'hecke_orbit_code': 3779604775425, 'n': 96, 'trace_an': 0}
  • id: 15257766
    {'hecke_orbit_code': 3779604775425, 'n': 97, 'trace_an': 24}
  • id: 15257767
    {'hecke_orbit_code': 3779604775425, 'n': 98, 'trace_an': -27}
  • id: 15257768
    {'hecke_orbit_code': 3779604775425, 'n': 99, 'trace_an': 0}
  • id: 15257769
    {'hecke_orbit_code': 3779604775425, 'n': 100, 'trace_an': -48}