Embedded newform data - 266.2.w.b.233.6

Formats: - HTML - YAML - JSON - 2026-07-12T02:51:01.268148

• 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': 1064, 'analytic_conductor': 2.124020693766058, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 133, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 9, 'char_parity': 1, 'char_values': [266, 9, [115, 211], [6, 7]], 'cm_discs': [], 'conrey_index': 25, 'dim': 42, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [14969161, -1508910, 508578201, -1034416261, 724482372, 27065200140, 56824706086, 25436434152, -24373001724, -1317151068, 44939503833, 28174549758, 4416509015, -2816592513, -10067896281, -3337600276, 7157979603, 1054634124, 3903229621, -96778671, 642149301, -681062274, 424231395, -214888416, 117966033, -4501329, -8091522, 4851777, -1227183, -509409, 802861, -99390, 6579, 2261, -5226, 984, 1108, -132, 27, 13, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505111489413386, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 133, 23, 1, 9, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '266.2.w.b', 'level': 266, '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': True, 'level_primes': [2, 7, 19], 'level_radical': 266, 'minimal_twist': '266.2.v.a', 'prim_orbit_index': 23, 'related_objects': [], 'relative_dim': 7, 'rm_discs': [], 'sato_tate_group': '1.2.3.c9', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '266.2.w', 'trace_display': [0, 0, 0, 12], 'traces': [42, 0, 0, 0, 0, 0, 12, 21, 0, 0, -6, 6, -9, 0, -3, 0, -3, 30, -3, -18, 0, -6, 12, 0, -12, -6, -21, -3, -18, 0, 0, 0, 24, 3, -27, 0, -15, 0, 9, 0, 3, -24, -18, -21, 54, -6, -15, 0, 18, 12, 30, -9, -54, 18, 6, 6, -84, 0, -45, -12, -30, -39, 45, -21, -21, 12, 48, 6, -33, 9, -39, 0, 90, 24, -21, 3, -18, -6, 66, 0, -108, 6, 33, -21, 54, 18, -168, -3, -54, -36, 18, 12, 0, -51, -51, 3, 57, -15, 108, 6, -24, -3, 9, -9, 0, 0, -36, -18, 24, 3, -144, 0, 78, 30, 33, 9, -81, 45, 90, -15, -24, 78, 69, 39, 81, 24, 9, 0, 54, -30, 18, 24, 141, 24, 99, -6, 39, -24, 81, -6, 39, 39, -171, 60, 180, 81, 33, -24, 42, -42, 96, -33, 18, 15, -6, 15, 66, -66, -90, -9, -87, -108, 12, -36, 114, 54, -3, 18, -45, -39, 210, 21, -3, -3, -318, 15, -114, 48, 6, 36, 99, -42, -45, -3, 33, 0, -66, 21, -12, -96, 15, 0, 51, -39, -255, 36, -45, -60, -54, -6, 78, -27, -90, 12, -156, 66, -96, -3, 60, -60, -57, 63, -84, 30, -18, 21, 39, 39, 93, -42, 15, -153, 18, 3, 39, 96, -66, -33, -15, 15, 87, -9, 39, 81, -6, 3, -171, 54, -66, 0, 21, 9, 228, -30, -18, 6, -30, 0, -114, -18, 18, 12, -72, -102, 120, 0, 66, -36, -33, 12, -198, -27, -81, 12, -114, 33, 168, 48, 12, 36, -15, -3, 159, -3, 36, -129, -6, 186, -9, 0, -24, 12, 33, 6, -252, 12, 84, 0, 261, 108, -141, -102, -75, -144, -96, 15, -147, -42, 72, 42, -84, 0, -63, 0, -33, 15, -57, 3, 6, -156, 117, 18, 81, -12, 174, -9, -15, 30, -60, 0, 48, 12, -144, -45, -24, -27, -126, -3, 39, -81, -54, 27, 102, -66, -24, -3, -111, -54, 291, -36, -99, 150, -153, 27, 153, -78, -99, 39, 114, 39, 153, -15, -276, 21, 6, 0, 27, 12, -21, -54, -81, -39, 132, 24, 162, 105, 63, -3, -78, 102, -48, 18, -84, 66, 156, 6, -66, -288, 174, 60, -84, -21, -144, 0, -36, 93, -342, 30, 72, 255, 153, 0, 78, -48, -42, -99, 69, 120, 258, 24, 42, -60, 204, -33, 285, 51, 6, -12, -138, 180, 372, 87, 267, 96, 186, 0, 78, 33, 240, 36, -15, 30, 399, -63, 186, -51, -153, 33, 141, -57, 72, -18, -75, 57, 54, -12, 120, 51, -96, 3, -486, 54, -78, 51, -150, -18, 21, -6, -39, -21, -12, 57, -72, -3, -69, -15, 36, -66, 201, -51, -141, 75, -33, 0, -165, 6, 75, -75, 6, -90, -303, 0, -105, -51, 129, 42, 15, -9, -30, -15, -324, 27, 168, -36, 117, -42, 75, 21, 33, 18, 171, 69, -108, -63, -219, -15, 39, 114, 15, 18, -30, -33, -378, 63, -87, -90, -84, 9, 174, -336, -78, -42, 0, -18, -99, -36, -123, -87, 186, -42, 252, -36, 132, -39, -186, -153, -288, 24, -138, -51, -24, 12, 120, 27, -303, -48, 33, -48, 237, 63, 54, -120, -174, 12, -213, 120, -99, 12, 78, 81, -270, -66, 204, 27, 303, 81, -12, 156, -27, 0, -267, 66, -108, -12, -78, -33, -375, -69, -48, -72, 60, -171, -3, -228, -39, 0, 138, -90, 432, -54, 183, 33, -204, 81, -144, 105, -162, 18, -186, -3, -183, -15, -84, -321, -51, 9, -9, -36, 294, 21, 3, 0, -339, -9, 138, 195, 21, -3, -237, -87, 33, 12, -201, 30, 36, -9, 249, -6, -426, -33, 243, 9, 39, 15, 90, -102, 72, 108, 315, 210, 408, 78, 258, -9, -156, -3, -81, -3, 54, 0, -36, 24, -21, -15, 96, -39, -144, 0, 21, 24, 123, 27, -516, 180, 171, 3, 354, 39, -48, -66, -36, -123, 159, 66, 90, 324, 81, -48, 144, -114, 51, 21, -108, 111, -618, 108, 222, 330, 198, 36, 474, 117, -6, -138, -42, -27, -144, 45, 252, -153, 30, -69, -390, -36, 126, -84, 195, 108, 246, 27, 9, 42, 6, 3, -291, 222, -78, 57, -168, 45, -186, 0, 144, -111, -324, -75, 375, 165, -84, -36, 9, -135, 150, -9, 123, -204, -210, 72, -201, 57, -39, 39, 237, -171, 141, 15, -30, 72, -180, 12, -66, -111, -129, 0, -150, 72, -354, 108, 87, 51, 252, -102, 135, -87, 309, -39, 267, 135, -63, -39, -228, -90, 213, 21, 108, 144, -147, -3, -105, 243, -258, -60, 381, -177, 150, -39, -12, -6, 21, 18, -120, -69, 75, -39, 264, -276, 270, 21, -48, -81, -63, 9, -342, 30, -12, -54, 282, 264, -18, -6, -264, 66, 93, -21, 90, -99, 24, -57, -18, 216, -366, 36, 96, -129, 432, 3, 9, -132, 309, -156, 264, 261, 162, 18, -39, -186, -99, 42, -138, -186, -153, 0, -444, -63, -45, 111, -45, 63, 120, 0, 138, -129, 219, 48, 531, 15, -45, 0, -225, 114, -3, -3, -186, 33, -177, -18, -15, -186, -30, -72, -63, -66, -45, -36, 252, -87, -15, -36, -354, 18, 294, -15, -144, 213, 72, 39, 18, -111, -585, 6, 57, 63, 54, -54, -612, 0, 30, 9, -132, 63, 213, 63, -153, -174, 363, 0, 339, 180, 198, -9, -195, 138, -273, 39, 240, 72, -57, 30, -417, -213, 72, 24, 63, 150, -228, 66, -150, 303, 6, 66, 291, 141, 150, 162, 3, -237, -24, 18, 267, 192, 153, -60, -126, -288, -39, -117, 231, 150, 24, 90, -381, 318, 186, 45, 426, 105, 252, 108, 237, -18, 252, 45, -237, 282, 528, 9, 30, -78, -171, -12, 75, -51, 3, 48, -42, 51, 207, -12, 30, 90, -207, 228, -432, -42, -108, 39, -30, -33, 24, -198, 21, 108, 27, 57, -72, -159, 171, 0, 36, -51, 87, 24, -477, 96, -216, -45, -171, -141, 60, -81], '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], [-0.12278780396897285, 0.696364240320019], [1.26339394906841, -0.45983779161293176], [-0.4698463103929542, -0.17101007166283436], [-0.6655510368016959, 0.24224076678082715], [0.165085225873176, 0.9362448401820261], [0.7647131574204582, -0.6443708457619988], [0.1767766952966369, -0.30618621784789724], [0.6186690328282363, -0.5191249572669776], [-0.0869662572957163, -0.49321015392139184], [1.5547412771924627, 0.0], [-0.6722378792395833, 0.0], [0.21563097530353803, 1.2229040299853906], [0.35481936522758484, 0.611639778022566], [-0.7294616934563506, 0.6120910379371779], [0.1915111107797445, 0.16069690242163484], [-0.8951087399671794, -0.7510854135700201], [0.28553504457379364, 0.4945612045432547], [0.7409387915622042, 0.6715725628391473], [0.3541323099063313, 0.0], [0.6698279091630508, -1.1657382370173788], [-0.19090326716637857, 1.0826662283863053], [-0.26660015051503994, -1.511964586723291], [0.082542612936588, -0.46812242009101307], [-0.3817668496217287, 0.32034042271330465], [-0.8780634897502754, 0.0], [-0.12932844060918858, 0.22400342999876866], [-0.4694915600341492, 0.1719816125540776], [-1.7061533095143178, -0.6209890197579827], [-0.33666931122082144, -0.5831283523836814], [0.4266319256433342, -0.7389481713452022], [-0.13541880510492546, 0.11362986941801093], [1.964250721971849, -0.714928795433651], [0.6329374599301386, -0.5310975891856637], [-0.3528627470084878, 0.6141063861026032], [-0.37945495857291595, 0.13811031016525632], [-0.8706015111879166, 1.507926050523716], [-0.5586373646325986, 0.4335023585130132], [0.8347643579332462, 1.4458542802879943], [-0.04348312864785815, 0.24660507696069592], [-0.0820459499414292, 0.46530570427609214], [0.7295317238293455, 0.6095826412355004], [-0.2556862296929507, -0.21454622103246423], [-0.7304894527045078, -0.26587641722984967], [-0.28600258853251836, 0.49537101443453774], [1.0856133178438752, 0.0], [-0.6324034173426374, 0.5306494742474585], [0.3158484872671025, 0.11495944790323294], [0.16957242626393285, -0.9855177280246982], [-0.17619730201333897, -0.30518267924366116], [-1.4762524237215071, -0.5373119404979659], [0.10781548765176902, -0.6114520149926953], [-0.15567335420608808, -0.056660467199395374], [-0.14010802314703708, -0.11756459054765662], [-1.0347596689938365, 0.37662171913290465], [-0.06211400733667171, -0.3480543780683988], [1.244912030093539, 0.5077490546190251], [0.6419293651004991, -1.1118542752244962], [0.7669006701810831, 0.6435060694985557], [0.44740861750527794, -0.16284341932611374], [0.04935962832782361, 0.27993236275867334], [0.4621918847218698, 0.38782504000325285], [0.13859536172205783, -0.7956339730976792], [-0.0625, -0.10825317547305482], [-0.4397506291028553, -0.7616704322665223], [0.2566648149196678, 1.4556184985894565], [-0.19722224729003596, -1.118502945480129], [0.2921203684745468, 0.5059673201236567], [-1.0320794735372258, -1.787614085615414], [-0.38431448522638, -0.32112577331066144], [-1.0533778235820768, -0.8838889432580465], [-0.049582640150285, -0.2811971256529584], [0.8957789996540487, -0.3260368923548285], [-0.9431665309408805, -0.7914106882512475], [-0.3350172952221626, 0.5802669767390877], [-0.23328168534459984, -0.4422438866539402], [1.188931111053764, -1.0018299517255973], [-1.1093400998483898, 0.40376677602271077], [-0.16286035735917895, -0.13665606579348707], [-0.16638775920042398, -0.06056019169520679], [-0.20062841106134197, 1.1378202601509773], [-0.31394801125693594, -0.11426773120459531], [0.24887842049973993, 0.4310700692130412], [-0.5140691511709344, 0.43317049079886266], [0.7776840564365123, 0.28305384820628793], [0.18079746687190662, -0.15170708777000333], [-2.4410979868848215, 0.0], [0.27484202502335603, -0.4760403513955694], [-0.2780853233667093, -0.10121478029177383], [-0.3098410303679144, -0.2599874943053054], [0.9528995480494642, 0.7962244880635052], [-0.13330007525751997, 0.7559822933616455], [0.1992078981094002, -1.1297641308720985], [-0.2918738911725726, -0.505540408913725], [-0.6558148335019409, -0.2674802344794789], [-0.1188359907451932, 0.20582997373845952], [-1.0186053005303826, 0.3707420098588388], [0.6654578781631911, 0.23909373139115017], [0.9618702822587977, -0.8071049990837433], [0.2341531843698159, -0.08522478936925916]], 'angles': [None, -0.1882221632153681, -0.3631674306522387, None, -0.10827650001820141, 0.07883545824475023, -0.23819269347744818, None, -0.38849211354846896, -0.3755736703897527, -0.3465166589413309, 0.2514683732826136, 0.06573566577308465, -0.16557469756583176, -0.42883079954000386, -0.2076426984816707, -0.055452830722468656, -0.005080967066570868, -0.4316598831838345, -0.259544367553121, -0.22648389917614017, -0.15583901191344193, -0.0433023532756316, -0.21808077223245892, -0.3967197544533691, -0.3696981906345368, -0.03015159911613748, -0.21471261175687217, -0.46707742168091254, -0.1351504557012348, 0.007112738355786978, -0.4662659040654835, -0.1759095217759459, -0.04808762503230603, -0.08318693168257549, -0.12896040669142544, -0.459300975903665, -0.14833515487651655, -0.4506592508890319, 0.09939764397258935, -0.26229448445062836, -0.044061897693144926, -0.44609989692840996, -0.24682570338005666, -0.4707539037629909, -0.03129580723267568, -0.12469162410117843, -0.040854642365014224, -0.10143829046205795, 0.17461088647467757, -0.4010059196470185, -0.36456488683607474, -0.25692179476339283, -0.3242075259506242, -0.3819367072907989, -0.2192621049343231, -0.3116584802727015, -0.17778827500176783, -0.428979022837305, -0.3693414640555308, -0.22983894761923013, -0.3071067455218604, -0.48935306994079775, -0.3486860152768231, -0.47137585931388376, -0.07560669205824766, -0.07151704096325846, -0.1905584647949006, -0.4425717657052417, -0.09146856596089015, -0.41379488832406924, -0.40700718996307755, -0.31493967638872855, -0.2903621660432413, -0.2068767296340746, -0.2614930748862811, -0.047062876612298105, -0.4966351763512455, 0.13391412291609217, -0.011302931361992213, -0.09298009252403817, 0.10667926558541521, -0.3880316923190715, -0.3953738635055132, 0.0839426154815919, -0.21156381732450796, -0.08670980313602078, -0.2585224714291926, -0.19011137096481723, -0.01787833257814826, 0.039972691284441246, -0.04772037451546038, -0.41604924940640875, -0.4396141053599999, -0.28131417460859715, -0.29990952516815106, -0.02551295145420843, -0.07890624817366544, -0.4110927266870555, -0.2838528151311964], 'char_orbit_index': 23, 'conrey_index': 233, 'dual_conrey_index': 137, 'dual_embedding_index': 6, 'dual_embedding_m': 27, 'embedding_index': 6, 'embedding_m': 41, 'hecke_orbit': 2, 'hecke_orbit_code': 4505111489413386, 'label': '266.2.w.b.233.6', 'level': 266, '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': 1064, 'analytic_conductor': 2.124020693766058, 'char_conductor': 133, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 9, 'char_parity': 1, 'char_values': [266, 9, [115, 211], [6, 7]], 'conrey_index': 25, 'cusp_dim': 216, 'dim': 84, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1511862042890, 'hecke_orbit_dims': [42, 42], 'label': '266.2.w', 'level': 266, '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': True, 'level_primes': [2, 7, 19], 'level_radical': 266, 'mf_dim': 264, 'mf_new_dim': 84, 'num_forms': 2, 'prim_orbit_index': 23, 'relative_dim': 14, 'sturm_bound': 80, 'trace_bound': 7, 'trace_display': [0, 0, 0, 12], 'traces': [84, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 12, -18, -6, 6, 0, 6, 12, -6, -12, -12, -6, 12, 0, 12, 12, -24, -12, -24, 0, 0, 0, 0, 12, -18, 0, -12, 0, 18, 0, 6, -12, -48, -12, 12, -24, 0, 0, 48, -24, 0, -18, -18, 0, 0, 6, -48, 0, 6, -48, -36, -12, -6, -42, -6, 24, 42, -12, -48, 36, -84, 0, 108, 30, -42, 6, -48, 48, 90, 0, -120, 0, 6, 18, 60, -12, -120, 0, 60, -48, -66, 12, -90, -78, -72, 0, -6, -36, 204, 12, -132, 18, 0, 0, -12, 12, -144, -36, -12, 6, -120, -6, 108, 96, 6, 30, -102, 96, 228, 12, 24, 144, 90, 66, 54, 30, 0, 0, 24, -36, 66, 48, 192, 48, 246, 12, 18, -96, 126, -12, -24, -6, -120, 96, 192, 108, 6, -18, 18, -72, 66, -18, 84, -66, -12, -30, 48, -42, -36, -12, -78, -120, 6, -48, 132, 120, -30, 24, -174, -30, 324, 42, -102, 42, -180, 6, 12, 0, -24, 24, 66, -126, -186, 6, 18, 126, -156, 0, -126, -60, 30, 0, -6, -48, -24, 0, -54, -42, -102, -36, 108, -36, -54, 0, -162, 18, -144, -12, -12, -96, 48, 54, -72, 24, -180, 18, 54, -6, -18, 108, 84, -84, -60, -6, -78, 72, -60, -66, -144, -84, 90, 12, 30, 60, 0, -24, -12, 156, -48, 0, -78, -24, 336, -36, 234, 0, -66, 0, -120, -72, -24, 18, 42, -24, 48, 0, 120, -192, -114, -48, -78, -60, -24, 24, -36, 96, 264, 42, 246, -60, -54, -30, -30, 0, -96, -48, -108, 300, -132, 0, 84, -96, 48, 12, -264, -96, 42, 0, 210, 60, 102, -12, -102, -114, -72, 18, -174, -66, 264, 12, -24, -24, 12, 0, -66, -120, -120, -24, -216, -144, 30, 0, 222, -84, 126, -18, 54, -6, 0, 0, 84, 12, -108, -54, 222, -120, -144, 0, -162, -54, -36, -6, 60, -96, 96, -18, -90, 24, 222, 24, -270, 132, -294, 24, 90, -114, -162, -6, -12, 42, 84, -24, -168, 48, 72, -48, -72, -48, -210, -96, -138, 0, 96, 36, 312, 168, -120, 6, -120, 240, -36, 36, -120, -24, 144, 12, 228, -210, 264, 60, -96, 48, -336, 0, 312, 180, -120, 60, 54, 486, 108, -24, 132, 24, -276, -120, 198, 240, 426, 96, 84, 108, 198, -24, 318, -24, -30, -24, 96, 360, 420, 192, 288, 48, 144, 0, 72, -60, 264, 24, -12, -108, 510, -72, 372, -24, -48, 54, -24, -60, 144, -36, -102, 288, -60, 48, 312, 102, -234, 6, -564, -24, 270, 0, -156, -96, -168, -6, -126, 24, -234, 150, -240, 36, -342, -60, 144, 18, -90, -96, 150, 24, 78, 0, -378, -84, 78, -60, -60, -60, -204, -48, -78, -144, -180, 0, 138, 12, -72, 12, -324, -24, 360, -24, -126, 132, 138, 24, -114, -144, 114, 90, -96, -234, -360, -42, 18, 108, -90, -36, 72, 36, -300, 192, -42, -168, -372, 0, 336, -264, 174, 0, 120, -36, -228, -48, -84, -30, 348, -72, 192, -42, 258, -114, -270, -186, -24, 0, -24, -96, 0, -18, 108, 66, 174, -36, -198, -192, 174, 0, -168, -6, -324, 48, -594, 24, -228, -72, -174, -24, -258, -36, 180, 48, 0, 126, 306, 24, 120, -36, -438, 24, -132, -120, 72, -18, -84, -96, 96, 84, 90, -120, -186, -36, -378, 0, -168, 48, 492, -120, 78, 0, -138, 108, -24, 198, -162, -108, -138, -66, 12, -36, -144, -192, -474, 42, 120, -96, 300, 0, 30, -90, -312, -6, -186, 156, -6, 0, -378, 60, 0, -96, -324, 120, -156, 6, 198, -228, 12, -48, 456, -120, -180, -30, -120, -108, -60, -6, 246, 360, 468, 102, 132, 24, -204, 258, 60, 114, -180, 0, -192, 96, 198, -114, 576, 12, -264, 24, -186, 270, 564, 132, -240, 24, 390, 6, 312, 192, 60, -48, -168, -300, 342, 120, 48, 336, 102, -30, 348, -306, -96, 6, -264, 132, -12, 168, 492, 702, -78, 96, 396, 84, 78, 66, 252, -90, 24, 78, -36, -216, 264, -84, -114, -36, -198, -108, 306, 138, 360, 240, -144, 150, 330, 6, -438, 264, -60, -78, 60, -30, -300, -48, 120, -342, -576, -18, 414, 336, -264, 24, -222, -264, 252, -42, -54, -348, -96, 78, -138, 96, -120, -42, 132, -276, 192, 6, 60, -72, -96, -36, -480, -120, -252, -36, -156, 174, -384, 6, 60, -96, -18, -48, 258, -180, 414, -126, 6, 246, 90, -60, -300, -318, 216, 90, 18, -48, -126, -6, -150, 384, -96, -120, 582, -12, 396, -48, 276, 120, 276, -60, -336, -210, 258, -42, 360, 48, -96, -42, -84, -300, 96, -66, -60, -120, 204, -102, 180, 366, 192, -36, 372, -36, -18, -114, -126, -60, -294, 42, -300, 624, -402, 18, 108, -276, 510, 24, -306, -168, 396, -162, 156, 240, 108, 36, 174, -264, -324, 72, -264, -228, 204, 0, -108, -192, 186, 78, -42, -162, -6, -84, -156, -108, -156, -24, 594, -270, 144, 12, -342, 84, 216, 90, -90, -84, -336, 36, 426, -468, -126, -72, -246, -24, 42, 0, -168, -108, 102, 0, -456, 48, 114, 66, -204, 270, 96, -36, 96, -24, -648, 0, -42, -36, -30, -132, -180, -108, 78, -84, -84, 6, -12, 144, -192, -6, 330, 12, 570, 240, -12, 42, -84, 492, -588, 24, 192, -96, 234, -48, 174, -300, 456, 0, -66, 204, -540, 150, -12, 390, 348, 120, 474, 432, 108, 300, 294, -234, -498, 12, 342, 48, -72, 144, -426, 60, -78, -120, 498, -90, -90, 120, 72, 540, 228, 42, 48, 132, 240, 60, 162, -114, 468, -24, -78, 270, 504, 30, 348, -24, -126, -48, -114, -120, 48, 192, -144, 342, 330, -36, 60, 132, -282, 336, -222, -138, 438, 6, 228, -180, 12, -168, -114, 114, -180, 96, -240, -66, -246, -72, -108, 390, 168, 24, -390, 264, -156, 54, -156, -318, -30, -108], '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: 37891498
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 233, 'source_dim': 42, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505111489413386, 'source_is_minimal': True, 'source_label': '266.2.w.b.233.6', 'source_level': 266, 'target_conrey_index': 233, 'target_dim': 42, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4505111489413386, 'target_is_minimal': True, 'target_label': '266.2.w.b.233.6', 'target_level': 266, 'twist_class_label': '266.2.v.a.23.2', 'twist_class_level': 266, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 37891499
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 233, 'source_dim': 42, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505111489413386, 'source_is_minimal': True, 'source_label': '266.2.w.b.233.6', 'source_level': 266, 'target_conrey_index': 81, 'target_dim': 42, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1443142566154, 'target_is_minimal': True, 'target_label': '266.2.v.a.81.2', 'target_level': 266, 'twist_class_label': '266.2.v.a.23.2', 'twist_class_level': 266, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 37891500
    {'conductor': 19, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 233, 'source_dim': 42, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505111489413386, 'source_is_minimal': True, 'source_label': '266.2.w.b.233.6', 'source_level': 266, 'target_conrey_index': 23, 'target_dim': 42, 'target_embedding_index': 2, 'target_hecke_orbit_code': 1443142566154, 'target_is_minimal': True, 'target_label': '266.2.v.a.23.2', 'target_level': 266, 'twist_class_label': '266.2.v.a.23.2', 'twist_class_level': 266, 'twisting_char_label': '19.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 37891501
    {'conductor': 133, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 233, 'source_dim': 42, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505111489413386, 'source_is_minimal': True, 'source_label': '266.2.w.b.233.6', 'source_level': 266, 'target_conrey_index': 137, 'target_dim': 42, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4505111489413386, 'target_is_minimal': True, 'target_label': '266.2.w.b.137.6', 'target_level': 266, 'twist_class_label': '266.2.v.a.23.2', 'twist_class_level': 266, 'twisting_char_label': '133.4', 'twisting_conrey_index': 4, 'weight': 2}
• hecke_orbit_code 4505111489413386 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': 23, 'hecke_orbit': 2, 'label': '266.2.w.b', 'level': 266, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24869887
    {'hecke_orbit_code': 4505111489413386, 'n': 1, 'trace_an': 42}
  • id: 24869888
    {'hecke_orbit_code': 4505111489413386, 'n': 2, 'trace_an': 0}
  • id: 24869889
    {'hecke_orbit_code': 4505111489413386, 'n': 3, 'trace_an': 0}
  • id: 24869890
    {'hecke_orbit_code': 4505111489413386, 'n': 4, 'trace_an': 0}
  • id: 24869891
    {'hecke_orbit_code': 4505111489413386, 'n': 5, 'trace_an': 0}
  • id: 24869892
    {'hecke_orbit_code': 4505111489413386, 'n': 6, 'trace_an': 0}
  • id: 24869893
    {'hecke_orbit_code': 4505111489413386, 'n': 7, 'trace_an': 12}
  • id: 24869894
    {'hecke_orbit_code': 4505111489413386, 'n': 8, 'trace_an': 21}
  • id: 24869895
    {'hecke_orbit_code': 4505111489413386, 'n': 9, 'trace_an': 0}
  • id: 24869896
    {'hecke_orbit_code': 4505111489413386, 'n': 10, 'trace_an': 0}
  • id: 24869897
    {'hecke_orbit_code': 4505111489413386, 'n': 11, 'trace_an': -6}
  • id: 24869898
    {'hecke_orbit_code': 4505111489413386, 'n': 12, 'trace_an': 6}
  • id: 24869899
    {'hecke_orbit_code': 4505111489413386, 'n': 13, 'trace_an': -9}
  • id: 24869900
    {'hecke_orbit_code': 4505111489413386, 'n': 14, 'trace_an': 0}
  • id: 24869901
    {'hecke_orbit_code': 4505111489413386, 'n': 15, 'trace_an': -3}
  • id: 24869902
    {'hecke_orbit_code': 4505111489413386, 'n': 16, 'trace_an': 0}
  • id: 24869903
    {'hecke_orbit_code': 4505111489413386, 'n': 17, 'trace_an': -3}
  • id: 24869904
    {'hecke_orbit_code': 4505111489413386, 'n': 18, 'trace_an': 30}
  • id: 24869905
    {'hecke_orbit_code': 4505111489413386, 'n': 19, 'trace_an': -3}
  • id: 24869906
    {'hecke_orbit_code': 4505111489413386, 'n': 20, 'trace_an': -18}
  • id: 24869907
    {'hecke_orbit_code': 4505111489413386, 'n': 21, 'trace_an': 0}
  • id: 24869908
    {'hecke_orbit_code': 4505111489413386, 'n': 22, 'trace_an': -6}
  • id: 24869909
    {'hecke_orbit_code': 4505111489413386, 'n': 23, 'trace_an': 12}
  • id: 24869910
    {'hecke_orbit_code': 4505111489413386, 'n': 24, 'trace_an': 0}
  • id: 24869911
    {'hecke_orbit_code': 4505111489413386, 'n': 25, 'trace_an': -12}
  • id: 24869912
    {'hecke_orbit_code': 4505111489413386, 'n': 26, 'trace_an': -6}
  • id: 24869913
    {'hecke_orbit_code': 4505111489413386, 'n': 27, 'trace_an': -21}
  • id: 24869914
    {'hecke_orbit_code': 4505111489413386, 'n': 28, 'trace_an': -3}
  • id: 24869915
    {'hecke_orbit_code': 4505111489413386, 'n': 29, 'trace_an': -18}
  • id: 24869916
    {'hecke_orbit_code': 4505111489413386, 'n': 30, 'trace_an': 0}
  • id: 24869917
    {'hecke_orbit_code': 4505111489413386, 'n': 31, 'trace_an': 0}
  • id: 24869918
    {'hecke_orbit_code': 4505111489413386, 'n': 32, 'trace_an': 0}
  • id: 24869919
    {'hecke_orbit_code': 4505111489413386, 'n': 33, 'trace_an': 24}
  • id: 24869920
    {'hecke_orbit_code': 4505111489413386, 'n': 34, 'trace_an': 3}
  • id: 24869921
    {'hecke_orbit_code': 4505111489413386, 'n': 35, 'trace_an': -27}
  • id: 24869922
    {'hecke_orbit_code': 4505111489413386, 'n': 36, 'trace_an': 0}
  • id: 24869923
    {'hecke_orbit_code': 4505111489413386, 'n': 37, 'trace_an': -15}
  • id: 24869924
    {'hecke_orbit_code': 4505111489413386, 'n': 38, 'trace_an': 0}
  • id: 24869925
    {'hecke_orbit_code': 4505111489413386, 'n': 39, 'trace_an': 9}
  • id: 24869926
    {'hecke_orbit_code': 4505111489413386, 'n': 40, 'trace_an': 0}
  • id: 24869927
    {'hecke_orbit_code': 4505111489413386, 'n': 41, 'trace_an': 3}
  • id: 24869928
    {'hecke_orbit_code': 4505111489413386, 'n': 42, 'trace_an': -24}
  • id: 24869929
    {'hecke_orbit_code': 4505111489413386, 'n': 43, 'trace_an': -18}
  • id: 24869930
    {'hecke_orbit_code': 4505111489413386, 'n': 44, 'trace_an': -21}
  • id: 24869931
    {'hecke_orbit_code': 4505111489413386, 'n': 45, 'trace_an': 54}
  • id: 24869932
    {'hecke_orbit_code': 4505111489413386, 'n': 46, 'trace_an': -6}
  • id: 24869933
    {'hecke_orbit_code': 4505111489413386, 'n': 47, 'trace_an': -15}
  • id: 24869934
    {'hecke_orbit_code': 4505111489413386, 'n': 48, 'trace_an': 0}
  • id: 24869935
    {'hecke_orbit_code': 4505111489413386, 'n': 49, 'trace_an': 18}
  • id: 24869936
    {'hecke_orbit_code': 4505111489413386, 'n': 50, 'trace_an': 12}
  • id: 24869937
    {'hecke_orbit_code': 4505111489413386, 'n': 51, 'trace_an': 30}
  • id: 24869938
    {'hecke_orbit_code': 4505111489413386, 'n': 52, 'trace_an': -9}
  • id: 24869939
    {'hecke_orbit_code': 4505111489413386, 'n': 53, 'trace_an': -54}
  • id: 24869940
    {'hecke_orbit_code': 4505111489413386, 'n': 54, 'trace_an': 18}
  • id: 24869941
    {'hecke_orbit_code': 4505111489413386, 'n': 55, 'trace_an': 6}
  • id: 24869942
    {'hecke_orbit_code': 4505111489413386, 'n': 56, 'trace_an': 6}
  • id: 24869943
    {'hecke_orbit_code': 4505111489413386, 'n': 57, 'trace_an': -84}
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    {'hecke_orbit_code': 4505111489413386, 'n': 967, 'trace_an': 207}
  • id: 24870140
    {'hecke_orbit_code': 4505111489413386, 'n': 971, 'trace_an': -207}
  • id: 24870141
    {'hecke_orbit_code': 4505111489413386, 'n': 977, 'trace_an': -30}
  • id: 24870142
    {'hecke_orbit_code': 4505111489413386, 'n': 983, 'trace_an': 27}
  • id: 24870143
    {'hecke_orbit_code': 4505111489413386, 'n': 991, 'trace_an': 87}
  • id: 24870144
    {'hecke_orbit_code': 4505111489413386, 'n': 997, 'trace_an': -171}